From 3d3e584b816e6eae448d836cfe1a9cc012355331 Mon Sep 17 00:00:00 2001 From: Niels Basjes Date: Fri, 5 Mar 2021 12:05:13 +0100 Subject: [PATCH] Version 5.23 --- CHANGELOG.md | 5 ++++- analyzer/pom.xml | 2 +- benchmarks/pom.xml | 2 +- commandline/pom.xml | 2 +- devtools/pom.xml | 2 +- docs/Building.html | 2 +- docs/Internals-BaseDesign.html | 2 +- docs/Internals-MakingNewRules.html | 2 +- docs/LICENSE.html | 2 +- docs/NOTES-shading-dependencies.html | 2 +- docs/README-Commandline.html | 4 ++-- docs/README-Limitations.html | 2 +- docs/README-MemoryUsage.html | 2 +- docs/README-Output.html | 2 +- docs/README-Performance.html | 2 +- docs/README-Usage.html | 6 +++--- docs/README-WebServlet.html | 14 +++++++------- docs/RelatedProjects.html | 2 +- docs/TryIt.html | 2 +- docs/UDF-ApacheBeam.html | 6 +++--- docs/UDF-ApacheBeamSql.html | 6 +++--- docs/UDF-ApacheDrill.html | 6 +++--- docs/UDF-ApacheFlink.html | 6 +++--- docs/UDF-ApacheFlinkTable.html | 6 +++--- docs/UDF-ApacheHive.html | 14 +++++++------- docs/UDF-ApacheNifi.html | 6 +++--- docs/UDF-ApachePig.html | 6 +++--- docs/UDF-ElasticSearch.html | 6 +++--- docs/UDF-LogParser.html | 6 +++--- docs/UDF-Logstash.html | 6 +++--- docs/UDFs.html | 2 +- docs/index.html | 2 +- docs/search_index.json | 2 +- examples/java/pom.xml | 2 +- examples/kotlin/pom.xml | 2 +- examples/pom.xml | 2 +- examples/quarkus/pom.xml | 2 +- examples/scala/pom.xml | 2 +- pom.xml | 2 +- serialization/base-tests/pom.xml | 2 +- serialization/java-default/pom.xml | 2 +- serialization/java-kryo-4/pom.xml | 2 +- serialization/java-kryo-5/pom.xml | 2 +- serialization/pom.xml | 2 +- src/book.js | 2 +- udfs/beam-sql/pom.xml | 2 +- udfs/beam/pom.xml | 2 +- udfs/drill/function/pom.xml | 2 +- udfs/drill/pom.xml | 2 +- udfs/drill/tests/pom.xml | 2 +- udfs/elasticsearch/pom.xml | 2 +- udfs/flink-table/pom.xml | 2 +- udfs/flink/pom.xml | 2 +- udfs/hive/pom.xml | 2 +- udfs/logparser/pom.xml | 2 +- udfs/logstash/logstash-dependency/pom.xml | 2 +- udfs/logstash/logstash-filter/pom.xml | 2 +- udfs/logstash/pom.xml | 2 +- udfs/nifi/nifi-nar/pom.xml | 2 +- udfs/nifi/nifi-processors/pom.xml | 2 +- udfs/nifi/pom.xml | 2 +- udfs/pig/pom.xml | 2 +- udfs/pom.xml | 2 +- webapp/pom.xml | 2 +- 64 files changed, 102 insertions(+), 99 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index f18d62d155..654c2c019f 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,7 +1,10 @@ This is intended as an overview of the major changes -v5.23-SNAPSHOT +v5.24-SNAPSHOT +=== + +v5.23 === - Analyzer - Updated the list of recognized Apple device ids. diff --git a/analyzer/pom.xml b/analyzer/pom.xml index 7da13cbac0..85b444b2c3 100644 --- a/analyzer/pom.xml +++ b/analyzer/pom.xml @@ -24,7 +24,7 @@ yauaa-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 yauaa diff --git a/benchmarks/pom.xml b/benchmarks/pom.xml index e140a3d404..bdf4a8c7ce 100644 --- a/benchmarks/pom.xml +++ b/benchmarks/pom.xml @@ -22,7 +22,7 @@ yauaa-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 yauaa-benchmark diff --git a/commandline/pom.xml b/commandline/pom.xml index ff3430be00..d344cd954b 100644 --- a/commandline/pom.xml +++ b/commandline/pom.xml @@ -24,7 +24,7 @@ yauaa-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 yauaa-commandline diff --git a/devtools/pom.xml b/devtools/pom.xml index 06fc7e463b..5890ce5dd9 100644 --- a/devtools/pom.xml +++ b/devtools/pom.xml @@ -22,7 +22,7 @@ yauaa-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 4.0.0 diff --git a/docs/Building.html b/docs/Building.html index 7f689ac96d..52ede3d80d 100644 --- a/docs/Building.html +++ b/docs/Building.html @@ -640,7 +640,7 @@

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Getting the commandline tool

<dependency>
   <groupId>nl.basjes.parse.useragent</groupId>
   <artifactId>yauaa-commandline</artifactId>
-  <version>5.22</version>
+  <version>5.23</version>
 </dependency>
@@ -751,7 +751,7 @@

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Using the analyzer

the User Defined Functions that are available for many of Apache bigdata tools (Pig, Hive, Flink, Beam, ...) as described here.

Using in Java applications

To use the library you must first add it as a dependency to your application. -The library has been published to maven central so that should work in almost any environment.

+The library has been published to maven central so that should work in almost any environment.

If you use a maven based project simply add this dependency to your project.

<dependency>
   <groupId>nl.basjes.parse.useragent</groupId>
   <artifactId>yauaa</artifactId>
-  <version>5.22</version>
+  <version>5.23</version>
 </dependency>
@@ -789,7 +789,7 @@

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The demonstration webservlet

<dependency>
   <groupId>nl.basjes.parse.useragent</groupId>
   <artifactId>yauaa-webapp</artifactId>
-  <version>5.22</version>
+  <version>5.23</version>
   <type>war</type>
 </dependency>
@@ -625,8 +625,8 @@

Docker

https://hub.docker.com/r/nielsbasjes/yauaa

So with docker installed and running on your (Linux) desktop you should be able to so something as simple as

-
docker pull nielsbasjes/yauaa:5.22
-docker run -p8080:8080 nielsbasjes/yauaa:5.22
+
docker pull nielsbasjes/yauaa:5.23
+docker run -p8080:8080 nielsbasjes/yauaa:5.23
 

 
 
and then open

@@ -636,7 +636,7 @@ 
Custom rules

 
The servlet supports loading your own custom rules, which can be useful to classify internal monitoring systems.
 It does this by looking in the folder that start with UserAgents for yaml files (i.e. file:UserAgents*/*.yaml ).

 
Based on the docker image this can be easily done with an additional layer where your entire Dockerfile looks like this

-
FROM nielsbasjes/yauaa:5.22
+
FROM nielsbasjes/yauaa:5.23
 ADD InternalTraffic.yaml UserAgents/
 

 
@@ -673,7 +673,7 @@ 
Basic Service

     spec:
       containers:
       - name: yauaa
-        image: nielsbasjes/yauaa:5.22
+        image: nielsbasjes/yauaa:5.23
         ports:
         - containerPort: 8080
           name: yauaa
@@ -783,7 +783,7 @@ 
Custom rules in Kubernetes

             name: niels-yauaa-rules
       containers:
       - name: yauaa
-        image: nielsbasjes/yauaa:5.22
+        image: nielsbasjes/yauaa:5.23
         volumeMounts:
           # NOTE 1: The directory name MUST start with  "/UserAgents" !!
           # NOTE 2: You can have multiple as long as the mountPaths are all different.
@@ -906,7 +906,7 @@ 
No results matching "
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"WebServlet","level":"2.6","depth":1,"next":{"title":"Overview","level":"3.1","depth":1,"path":"UDFs.md","ref":"UDFs.md","articles":[]},"previous":{"title":"Commandline","level":"2.5","depth":1,"path":"README-Commandline.md","ref":"README-Commandline.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"README-WebServlet.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-02-22T16:58:32.084Z"},"basePath":".","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"WebServlet","level":"2.6","depth":1,"next":{"title":"Overview","level":"3.1","depth":1,"path":"UDFs.md","ref":"UDFs.md","articles":[]},"previous":{"title":"Commandline","level":"2.5","depth":1,"path":"README-Commandline.md","ref":"README-Commandline.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.23"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"README-WebServlet.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-03-05T11:04:22.933Z"},"basePath":".","book":{"language":""}});
         });
     
 
diff --git a/docs/RelatedProjects.html b/docs/RelatedProjects.html
index 92944f6de0..5384135871 100644
--- a/docs/RelatedProjects.html
+++ b/docs/RelatedProjects.html
@@ -641,7 +641,7 @@ 
No results matching "
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Related projects","level":"5.5","depth":1,"next":{"title":"Bol.com techlab blog","level":"6.1","depth":1,"url":"https://techlab.bol.com/making-sense-user-agent-string/","ref":"https://techlab.bol.com/making-sense-user-agent-string/","articles":[]},"previous":{"title":"Issue tracker","level":"5.4","depth":1,"url":"https://github.com/nielsbasjes/yauaa/issues","ref":"https://github.com/nielsbasjes/yauaa/issues","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"RelatedProjects.md","mtime":"2020-03-30T08:07:58.904Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-02-22T16:58:32.084Z"},"basePath":".","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Related projects","level":"5.5","depth":1,"next":{"title":"Bol.com techlab blog","level":"6.1","depth":1,"url":"https://techlab.bol.com/making-sense-user-agent-string/","ref":"https://techlab.bol.com/making-sense-user-agent-string/","articles":[]},"previous":{"title":"Issue tracker","level":"5.4","depth":1,"url":"https://github.com/nielsbasjes/yauaa/issues","ref":"https://github.com/nielsbasjes/yauaa/issues","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.23"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"RelatedProjects.md","mtime":"2020-03-30T08:07:58.904Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-03-05T11:04:22.933Z"},"basePath":".","book":{"language":""}});
         });
     
 
diff --git a/docs/TryIt.html b/docs/TryIt.html
index 0351819137..179878052d 100644
--- a/docs/TryIt.html
+++ b/docs/TryIt.html
@@ -658,7 +658,7 @@ 
No results matching "
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Try it online","level":"1.3","depth":1,"next":{"title":"Basic usage","level":"2.1","depth":1,"path":"README-Usage.md","ref":"README-Usage.md","articles":[]},"previous":{"title":"The output to expect","level":"1.2","depth":1,"path":"README-Output.md","ref":"README-Output.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"TryIt.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-02-22T16:58:32.084Z"},"basePath":".","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Try it online","level":"1.3","depth":1,"next":{"title":"Basic usage","level":"2.1","depth":1,"path":"README-Usage.md","ref":"README-Usage.md","articles":[]},"previous":{"title":"The output to expect","level":"1.2","depth":1,"path":"README-Output.md","ref":"README-Output.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.23"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"TryIt.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-03-05T11:04:22.933Z"},"basePath":".","book":{"language":""}});
         });
     
 
diff --git a/docs/UDF-ApacheBeam.html b/docs/UDF-ApacheBeam.html
index a4a5e76ebd..f4ea51512e 100644
--- a/docs/UDF-ApacheBeam.html
+++ b/docs/UDF-ApacheBeam.html
@@ -608,12 +608,12 @@ 

                                 
                                 
User Defined Function for Apache Beam

 
Getting the UDF

-
You can get the prebuilt UDF from maven central.

+
You can get the prebuilt UDF from maven central.

 
If you use a maven based project simply add this dependency to your project.

 
<dependency>
   <groupId>nl.basjes.parse.useragent</groupId>
   <artifactId>yauaa-beam</artifactId>
-  <version>5.22</version>
+  <version>5.23</version>
 </dependency>
 

 
@@ -717,7 +717,7 @@ 
No results matching "
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Apache Beam","level":"3.3","depth":1,"next":{"title":"Apache Beam SQL","level":"3.4","depth":1,"path":"UDF-ApacheBeamSql.md","ref":"UDF-ApacheBeamSql.md","articles":[]},"previous":{"title":"LogParser","level":"3.2","depth":1,"path":"UDF-LogParser.md","ref":"UDF-LogParser.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApacheBeam.md","mtime":"2020-11-04T14:50:24.386Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-02-22T16:58:32.084Z"},"basePath":".","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Apache Beam","level":"3.3","depth":1,"next":{"title":"Apache Beam SQL","level":"3.4","depth":1,"path":"UDF-ApacheBeamSql.md","ref":"UDF-ApacheBeamSql.md","articles":[]},"previous":{"title":"LogParser","level":"3.2","depth":1,"path":"UDF-LogParser.md","ref":"UDF-LogParser.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.23"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApacheBeam.md","mtime":"2020-11-04T14:50:24.386Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-03-05T11:04:22.933Z"},"basePath":".","book":{"language":""}});
         });
     
 
diff --git a/docs/UDF-ApacheBeamSql.html b/docs/UDF-ApacheBeamSql.html
index 90459a33e5..4d44cb0eca 100644
--- a/docs/UDF-ApacheBeamSql.html
+++ b/docs/UDF-ApacheBeamSql.html
@@ -612,12 +612,12 @@ 
STATUS: ... EXPERIMENTAL ...

 
There are a few limitations related to the underlying Calcite version used in Beam.
 Only limited testing has been done.

 
Getting the UDF

-
You can get the prebuilt UDF from maven central.

+
You can get the prebuilt UDF from maven central.

 
If you use a maven based project simply add this dependency to your project.

 
<dependency>
   <groupId>nl.basjes.parse.useragent</groupId>
   <artifactId>yauaa-beam-sql</artifactId>
-  <version>5.22</version>
+  <version>5.23</version>
 </dependency>
 

 
@@ -714,7 +714,7 @@ 
No results matching "
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Apache Beam SQL","level":"3.4","depth":1,"next":{"title":"Apache Drill","level":"3.5","depth":1,"path":"UDF-ApacheDrill.md","ref":"UDF-ApacheDrill.md","articles":[]},"previous":{"title":"Apache Beam","level":"3.3","depth":1,"path":"UDF-ApacheBeam.md","ref":"UDF-ApacheBeam.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApacheBeamSql.md","mtime":"2021-01-27T13:12:09.084Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-02-22T16:58:32.084Z"},"basePath":".","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Apache Beam SQL","level":"3.4","depth":1,"next":{"title":"Apache Drill","level":"3.5","depth":1,"path":"UDF-ApacheDrill.md","ref":"UDF-ApacheDrill.md","articles":[]},"previous":{"title":"Apache Beam","level":"3.3","depth":1,"path":"UDF-ApacheBeam.md","ref":"UDF-ApacheBeam.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.23"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApacheBeamSql.md","mtime":"2021-01-27T13:12:09.084Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-03-05T11:04:22.933Z"},"basePath":".","book":{"language":""}});
         });
     
 
diff --git a/docs/UDF-ApacheDrill.html b/docs/UDF-ApacheDrill.html
index ef8effe711..fb0a5f0d28 100644
--- a/docs/UDF-ApacheDrill.html
+++ b/docs/UDF-ApacheDrill.html
@@ -621,12 +621,12 @@ 
STATUS: ... Works on my machine ...

 I have not yet tested this in a distributed setup.

 
So please try it out and report any issues and/or improvements you see.

 
Getting the UDF

-
You can get the prebuilt UDF from maven central.

+
You can get the prebuilt UDF from maven central.

 
If you use a maven based project simply add this dependency to your project.

 
<dependency>
   <groupId>nl.basjes.parse.useragent</groupId>
   <artifactId>yauaa-drill</artifactId>
-  <version>5.22</version>
+  <version>5.23</version>
 </dependency>
 

 
@@ -771,7 +771,7 @@ 
No results matching "
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Apache Drill","level":"3.5","depth":1,"next":{"title":"Apache Flink","level":"3.6","depth":1,"path":"UDF-ApacheFlink.md","ref":"UDF-ApacheFlink.md","articles":[]},"previous":{"title":"Apache Beam SQL","level":"3.4","depth":1,"path":"UDF-ApacheBeamSql.md","ref":"UDF-ApacheBeamSql.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApacheDrill.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-02-22T16:58:32.084Z"},"basePath":".","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Apache Drill","level":"3.5","depth":1,"next":{"title":"Apache Flink","level":"3.6","depth":1,"path":"UDF-ApacheFlink.md","ref":"UDF-ApacheFlink.md","articles":[]},"previous":{"title":"Apache Beam SQL","level":"3.4","depth":1,"path":"UDF-ApacheBeamSql.md","ref":"UDF-ApacheBeamSql.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.23"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApacheDrill.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-03-05T11:04:22.933Z"},"basePath":".","book":{"language":""}});
         });
     
 
diff --git a/docs/UDF-ApacheFlink.html b/docs/UDF-ApacheFlink.html
index cd3ce21e51..db675212c4 100644
--- a/docs/UDF-ApacheFlink.html
+++ b/docs/UDF-ApacheFlink.html
@@ -608,12 +608,12 @@ 

                                 
                                 
User Defined Function for Apache Flink

 
Getting the UDF

-
You can get the prebuilt UDF from maven central.

+
You can get the prebuilt UDF from maven central.

 
If you use a maven based project simply add this dependency to your project.

 
<dependency>
   <groupId>nl.basjes.parse.useragent</groupId>
   <artifactId>yauaa-flink</artifactId>
-  <version>5.22</version>
+  <version>5.23</version>
 </dependency>
 

 
@@ -712,7 +712,7 @@ 
No results matching "
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Apache Flink","level":"3.6","depth":1,"next":{"title":"Apache Flink (Table/SQL)","level":"3.7","depth":1,"path":"UDF-ApacheFlinkTable.md","ref":"UDF-ApacheFlinkTable.md","articles":[]},"previous":{"title":"Apache Drill","level":"3.5","depth":1,"path":"UDF-ApacheDrill.md","ref":"UDF-ApacheDrill.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApacheFlink.md","mtime":"2020-11-04T14:50:24.386Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-02-22T16:58:32.084Z"},"basePath":".","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Apache Flink","level":"3.6","depth":1,"next":{"title":"Apache Flink (Table/SQL)","level":"3.7","depth":1,"path":"UDF-ApacheFlinkTable.md","ref":"UDF-ApacheFlinkTable.md","articles":[]},"previous":{"title":"Apache Drill","level":"3.5","depth":1,"path":"UDF-ApacheDrill.md","ref":"UDF-ApacheDrill.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.23"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApacheFlink.md","mtime":"2020-11-04T14:50:24.386Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-03-05T11:04:22.933Z"},"basePath":".","book":{"language":""}});
         });
     
 
diff --git a/docs/UDF-ApacheFlinkTable.html b/docs/UDF-ApacheFlinkTable.html
index 66beb30d8d..a2c543db45 100644
--- a/docs/UDF-ApacheFlinkTable.html
+++ b/docs/UDF-ApacheFlinkTable.html
@@ -608,12 +608,12 @@ 

                                 
                                 
User Defined Function for Apache Flink Table

 
Getting the UDF

-
You can get the prebuilt UDF from maven central.

+
You can get the prebuilt UDF from maven central.

 
If you use a maven based project simply add this dependency to your project.

 
<dependency>
   <groupId>nl.basjes.parse.useragent</groupId>
   <artifactId>yauaa-flink-table</artifactId>
-  <version>5.22</version>
+  <version>5.23</version>
 </dependency>
 

 
@@ -716,7 +716,7 @@ 
No results matching "
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Apache Flink (Table/SQL)","level":"3.7","depth":1,"next":{"title":"Apache Hive","level":"3.8","depth":1,"path":"UDF-ApacheHive.md","ref":"UDF-ApacheHive.md","articles":[]},"previous":{"title":"Apache Flink","level":"3.6","depth":1,"path":"UDF-ApacheFlink.md","ref":"UDF-ApacheFlink.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApacheFlinkTable.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-02-22T16:58:32.084Z"},"basePath":".","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Apache Flink (Table/SQL)","level":"3.7","depth":1,"next":{"title":"Apache Hive","level":"3.8","depth":1,"path":"UDF-ApacheHive.md","ref":"UDF-ApacheHive.md","articles":[]},"previous":{"title":"Apache Flink","level":"3.6","depth":1,"path":"UDF-ApacheFlink.md","ref":"UDF-ApacheFlink.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.23"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApacheFlinkTable.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-03-05T11:04:22.933Z"},"basePath":".","book":{"language":""}});
         });
     
 
diff --git a/docs/UDF-ApacheHive.html b/docs/UDF-ApacheHive.html
index f0d8159a7e..604559054f 100644
--- a/docs/UDF-ApacheHive.html
+++ b/docs/UDF-ApacheHive.html
@@ -608,14 +608,14 @@ 

                                 
                                 
User Defined Function for Apache Hive

 
Getting the UDF

-
You can get the prebuilt UDF from maven central (yauaa-hive-5.22-udf.jar).

-
NOTE: You MUST use the -udf.jar: yauaa-hive-5.22-udf.jar

+
You can get the prebuilt UDF from maven central (yauaa-hive-5.23-udf.jar).

+
NOTE: You MUST use the -udf.jar: yauaa-hive-5.23-udf.jar

 
If you use a maven based project simply add this dependency

 
<dependency>
   <groupId>nl.basjes.parse.useragent</groupId>
   <artifactId>yauaa-hive</artifactId>
   <classifier>udf</classifier>
-  <version>5.22</version>
+  <version>5.23</version>
 </dependency>
 

 
@@ -625,18 +625,18 @@ 
Building

 
Example usage

 
First the jar file must be 'known'
 Either by doing

-
ADD JAR hdfs:///yauaa-hive-5.22-udf.jar

+
ADD JAR hdfs:///yauaa-hive-5.23-udf.jar

 
 
or by defining it as a permanent function

 
CREATE FUNCTION ParseUserAgent
 AS 'nl.basjes.parse.useragent.hive.ParseUserAgent'
-USING JAR 'hdfs:///yauaa-hive-5.22-udf.jar';
+USING JAR 'hdfs:///yauaa-hive-5.23-udf.jar';
 

 
 
If you are using a recent version of Hive you can also do

 
CREATE FUNCTION ParseUserAgent
 AS 'nl.basjes.parse.useragent.hive.ParseUserAgent'
-USING JAR 'ivy://nl.basjes.parse.useragent:yauaa-hive:5.22?classifier=udf';
+USING JAR 'ivy://nl.basjes.parse.useragent:yauaa-hive:5.23?classifier=udf';
 

 
 
or installing it locally with the Hive Server

@@ -751,7 +751,7 @@ 
No results matching "
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Apache Hive","level":"3.8","depth":1,"next":{"title":"Apache Nifi","level":"3.9","depth":1,"path":"UDF-ApacheNifi.md","ref":"UDF-ApacheNifi.md","articles":[]},"previous":{"title":"Apache Flink (Table/SQL)","level":"3.7","depth":1,"path":"UDF-ApacheFlinkTable.md","ref":"UDF-ApacheFlinkTable.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApacheHive.md","mtime":"2020-11-28T14:31:34.119Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-02-22T16:58:32.084Z"},"basePath":".","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Apache Hive","level":"3.8","depth":1,"next":{"title":"Apache Nifi","level":"3.9","depth":1,"path":"UDF-ApacheNifi.md","ref":"UDF-ApacheNifi.md","articles":[]},"previous":{"title":"Apache Flink (Table/SQL)","level":"3.7","depth":1,"path":"UDF-ApacheFlinkTable.md","ref":"UDF-ApacheFlinkTable.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.23"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApacheHive.md","mtime":"2020-11-28T14:31:34.119Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-03-05T11:04:22.933Z"},"basePath":".","book":{"language":""}});
         });
     
 
diff --git a/docs/UDF-ApacheNifi.html b/docs/UDF-ApacheNifi.html
index 7c150ee984..7a1874ef77 100644
--- a/docs/UDF-ApacheNifi.html
+++ b/docs/UDF-ApacheNifi.html
@@ -610,13 +610,13 @@ 
User Defined Function for Introduction

 
This is an Apache Nifi Processor for parsing User Agent Strings.

 
Getting the Processor

-
You can get the prebuilt NAR file from maven central.

+
You can get the prebuilt NAR file from maven central.

 
If you use a maven based project simply add this dependency

 
<dependency>
   <groupId>nl.basjes.parse.useragent</groupId>
   <artifactId>yauaa-nifi</artifactId>
   <type>nar</type>
-  <version>5.22</version>
+  <version>5.23</version>
 </dependency>
 

 
@@ -684,7 +684,7 @@ 
No results matching "
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Apache Nifi","level":"3.9","depth":1,"next":{"title":"Apache Pig","level":"3.10","depth":1,"path":"UDF-ApachePig.md","ref":"UDF-ApachePig.md","articles":[]},"previous":{"title":"Apache Hive","level":"3.8","depth":1,"path":"UDF-ApacheHive.md","ref":"UDF-ApacheHive.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApacheNifi.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-02-22T16:58:32.084Z"},"basePath":".","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Apache Nifi","level":"3.9","depth":1,"next":{"title":"Apache Pig","level":"3.10","depth":1,"path":"UDF-ApachePig.md","ref":"UDF-ApachePig.md","articles":[]},"previous":{"title":"Apache Hive","level":"3.8","depth":1,"path":"UDF-ApacheHive.md","ref":"UDF-ApacheHive.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.23"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApacheNifi.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-03-05T11:04:22.933Z"},"basePath":".","book":{"language":""}});
         });
     
 
diff --git a/docs/UDF-ApachePig.html b/docs/UDF-ApachePig.html
index d7894daa26..7e33e4fc98 100644
--- a/docs/UDF-ApachePig.html
+++ b/docs/UDF-ApachePig.html
@@ -608,13 +608,13 @@ 

                                 
                                 
User Defined Function for Apache Pig

 
Getting the UDF

-
You can get the prebuilt UDF from maven central.

+
You can get the prebuilt UDF from maven central.

 
If you use a maven based project simply add this dependency

 
<dependency>
   <groupId>nl.basjes.parse.useragent</groupId>
   <artifactId>yauaa-pig</artifactId>
   <classifier>udf</classifier>
-  <version>5.22</version>
+  <version>5.23</version>
 </dependency>
 

 
@@ -689,7 +689,7 @@ 
No results matching "
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Apache Pig","level":"3.10","depth":1,"next":{"title":"Elastic Logstash","level":"3.11","depth":1,"path":"UDF-Logstash.md","ref":"UDF-Logstash.md","articles":[]},"previous":{"title":"Apache Nifi","level":"3.9","depth":1,"path":"UDF-ApacheNifi.md","ref":"UDF-ApacheNifi.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApachePig.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-02-22T16:58:32.084Z"},"basePath":".","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Apache Pig","level":"3.10","depth":1,"next":{"title":"Elastic Logstash","level":"3.11","depth":1,"path":"UDF-Logstash.md","ref":"UDF-Logstash.md","articles":[]},"previous":{"title":"Apache Nifi","level":"3.9","depth":1,"path":"UDF-ApacheNifi.md","ref":"UDF-ApacheNifi.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.23"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ApachePig.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-03-05T11:04:22.933Z"},"basePath":".","book":{"language":""}});
         });
     
 
diff --git a/docs/UDF-ElasticSearch.html b/docs/UDF-ElasticSearch.html
index c3486d14fa..82632175aa 100644
--- a/docs/UDF-ElasticSearch.html
+++ b/docs/UDF-ElasticSearch.html
@@ -611,10 +611,10 @@ 
STATUS: ... EXPERIMENTAL ...

 
The ElasticSearch ingest plugin is very new.

 
And yes it is similar to https://www.elastic.co/guide/en/elasticsearch/reference/master/user-agent-processor.html

 
Getting the UDF

-
You can get the prebuilt ingest plugin from maven central.

+
You can get the prebuilt ingest plugin from maven central.

 
Installing the plugin

 
You only need to install it into your elasticsearch once

-
bin/elasticsearch-plugin install file:///path/to/yauaa-elasticsearch-5.22.zip

+
bin/elasticsearch-plugin install file:///path/to/yauaa-elasticsearch-5.23.zip

 
 
Usage

 
This plugin is intended to be used in an ingest pipeline.

@@ -811,7 +811,7 @@ 
No results matching "
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Elastic Search","level":"3.12","depth":1,"next":{"title":"Base design idea","level":"4.1","depth":1,"path":"Internals-BaseDesign.md","ref":"Internals-BaseDesign.md","articles":[]},"previous":{"title":"Elastic Logstash","level":"3.11","depth":1,"path":"UDF-Logstash.md","ref":"UDF-Logstash.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ElasticSearch.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-02-22T16:58:32.084Z"},"basePath":".","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"Elastic Search","level":"3.12","depth":1,"next":{"title":"Base design idea","level":"4.1","depth":1,"path":"Internals-BaseDesign.md","ref":"Internals-BaseDesign.md","articles":[]},"previous":{"title":"Elastic Logstash","level":"3.11","depth":1,"path":"UDF-Logstash.md","ref":"UDF-Logstash.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.23"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-ElasticSearch.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-03-05T11:04:22.933Z"},"basePath":".","book":{"language":""}});
         });
     
 
diff --git a/docs/UDF-LogParser.html b/docs/UDF-LogParser.html
index 2b1d290eb1..8fba91e87f 100644
--- a/docs/UDF-LogParser.html
+++ b/docs/UDF-LogParser.html
@@ -608,13 +608,13 @@ 

                                 
                                 
User Defined Function for LogParser

 
Getting the UDF

-
You can get the prebuilt UDF from maven central.

+
You can get the prebuilt UDF from maven central.

 
If you use a maven based project simply add this dependency

 
<dependency>
   <groupId>nl.basjes.parse.useragent</groupId>
   <artifactId>yauaa-logparser</artifactId>
   <classifier>udf</classifier>
-  <version>5.22</version>
+  <version>5.23</version>
 </dependency>
 

 
@@ -697,7 +697,7 @@ 
No results matching "
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"LogParser","level":"3.2","depth":1,"next":{"title":"Apache Beam","level":"3.3","depth":1,"path":"UDF-ApacheBeam.md","ref":"UDF-ApacheBeam.md","articles":[]},"previous":{"title":"Overview","level":"3.1","depth":1,"path":"UDFs.md","ref":"UDFs.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-LogParser.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-02-22T16:58:32.084Z"},"basePath":".","book":{"language":""}});
+            gitbook.page.hasChanged({"page":{"title":"LogParser","level":"3.2","depth":1,"next":{"title":"Apache Beam","level":"3.3","depth":1,"path":"UDF-ApacheBeam.md","ref":"UDF-ApacheBeam.md","articles":[]},"previous":{"title":"Overview","level":"3.1","depth":1,"path":"UDFs.md","ref":"UDFs.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.23"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-LogParser.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-03-05T11:04:22.933Z"},"basePath":".","book":{"language":""}});
         });
     
 
diff --git a/docs/UDF-Logstash.html b/docs/UDF-Logstash.html
index 3ea05b26f3..1b58f0731f 100644
--- a/docs/UDF-Logstash.html
+++ b/docs/UDF-Logstash.html
@@ -615,7 +615,7 @@ 
STATUS: ... EXPERIMENTAL ...

 
  • https://github.com/elastic/logstash/issues/9215
    • 
 
 
    Getting the UDF
    
-
    You can get the prebuilt filter from the github releases page.
    
+
    You can get the prebuilt filter from the github releases page.
    
 
    Building has side effects !
    
 
    Because at this time none of the required dependencies are in maven central this build does something rarely seen:
    
 
    It downloads the entire logstash distribution, extracts the logstash-core.jar and installs it locally for maven
@@ -629,7 +629,7 @@ 
    Building has side effects !
    
 
    Installing the filter
    
 
    You only need to install it into your logstash once per installation
    
 
    logstash-plugin remove logstash-filter-yauaa
-logstash-plugin install ./udfs/logstash/target/logstash-filter-yauaa-5.22.gem
    
+logstash-plugin install ./udfs/logstash/target/logstash-filter-yauaa-5.23.gem

    Example usage

    You need to specify

    @@ -699,7 +699,7 @@

    No results matching " var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Elastic Logstash","level":"3.11","depth":1,"next":{"title":"Elastic Search","level":"3.12","depth":1,"path":"UDF-ElasticSearch.md","ref":"UDF-ElasticSearch.md","articles":[]},"previous":{"title":"Apache Pig","level":"3.10","depth":1,"path":"UDF-ApachePig.md","ref":"UDF-ApachePig.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-Logstash.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-02-22T16:58:32.084Z"},"basePath":".","book":{"language":""}}); + gitbook.page.hasChanged({"page":{"title":"Elastic Logstash","level":"3.11","depth":1,"next":{"title":"Elastic Search","level":"3.12","depth":1,"path":"UDF-ElasticSearch.md","ref":"UDF-ElasticSearch.md","articles":[]},"previous":{"title":"Apache Pig","level":"3.10","depth":1,"path":"UDF-ApachePig.md","ref":"UDF-ApachePig.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.23"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDF-Logstash.md","mtime":"2020-11-04T12:01:28.513Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-03-05T11:04:22.933Z"},"basePath":".","book":{"language":""}}); }); diff --git a/docs/UDFs.html b/docs/UDFs.html index 09df44fd36..7a1266585b 100644 --- a/docs/UDFs.html +++ b/docs/UDFs.html @@ -669,7 +669,7 @@

    No results matching " var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Overview","level":"3.1","depth":1,"next":{"title":"LogParser","level":"3.2","depth":1,"path":"UDF-LogParser.md","ref":"UDF-LogParser.md","articles":[]},"previous":{"title":"WebServlet","level":"2.6","depth":1,"path":"README-WebServlet.md","ref":"README-WebServlet.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDFs.md","mtime":"2021-01-26T11:27:35.906Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-02-22T16:58:32.084Z"},"basePath":".","book":{"language":""}}); + gitbook.page.hasChanged({"page":{"title":"Overview","level":"3.1","depth":1,"next":{"title":"LogParser","level":"3.2","depth":1,"path":"UDF-LogParser.md","ref":"UDF-LogParser.md","articles":[]},"previous":{"title":"WebServlet","level":"2.6","depth":1,"path":"README-WebServlet.md","ref":"README-WebServlet.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.23"},"title":"Yauaa: Yet Another UserAgent Analyzer","gitbook":"3.2.3"},"file":{"path":"UDFs.md","mtime":"2021-01-26T11:27:35.906Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2021-03-05T11:04:22.933Z"},"basePath":".","book":{"language":""}}); }); diff --git a/docs/index.html b/docs/index.html index fa5af35dc1..d740fa00f8 100644 --- a/docs/index.html +++ b/docs/index.html @@ -794,7 +794,7 @@

    No results matching " var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Introduction","level":"1.1","depth":1,"next":{"title":"The output to expect","level":"1.2","depth":1,"path":"README-Output.md","ref":"README-Output.md","articles":[]},"dir":"ltr"},"config":{"plugins":["sitemap"],"root":"./main/docs","styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"sitemap":{"hostname":"https://yauaa.basjes.nl"},"highlight":{},"search":{},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"fontsettings":{"theme":"white","family":"sans","size":2},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":false}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{"version":"3.2.3","YauaaVersion":"5.22"},"title":"Yauaa: 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I have done limited (local single node) testing. Please report anything you find so I can fix it.\n\nBlog post\nA bit more background about this useragent parser can be found in this blog which I wrote about it: https://techlab.bol.com/making-sense-user-agent-string/\nExample output\nAs an example the useragent of my phone:\n\nMozilla/5.0 (Linux; Android 7.0; Nexus 6 Build/NBD90Z) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.124 Mobile Safari/537.36\n\nis converted into this set of fields:\n\n\n\nField name\nValue\n\n\n\n\nDevice Class\nPhone\n\n\nDevice Name\nGoogle Nexus 6\n\n\nDevice Brand\nGoogle\n\n\nOperating System Class\nMobile\n\n\nOperating System Name\nAndroid\n\n\nOperating System Version\n7.0\n\n\nOperating System Name Version\nAndroid 7.0\n\n\nOperating System Version Build\nNBD90Z\n\n\nLayout Engine Class\nBrowser\n\n\nLayout Engine Name\nBlink\n\n\nLayout Engine Version\n53.0\n\n\nLayout Engine Version Major\n53\n\n\nLayout Engine Name Version\nBlink 53.0\n\n\nLayout Engine Name Version Major\nBlink 53\n\n\nAgent Class\nBrowser\n\n\nAgent Name\nChrome\n\n\nAgent Version\n53.0.2785.124\n\n\nAgent Version Major\n53\n\n\nAgent Name Version\nChrome 53.0.2785.124\n\n\nAgent Name Version Major\nChrome 53\n\n\n\nTry it!\nYou can try it online with your own browser here: https://try.yauaa.basjes.nl/.\nNOTES\n\nThis runs under a \"Free quota\" on Google AppEngine. If this quota is exceeded then it will simply become unavailable for that day.\nAfter a while of inactivity the instance is terminated so the first page may take 15-30 seconds to load.\nIf you really like this then run it on your local systems. It's much faster that way.\nA ready to run docker image that can be used in both local mode and also in Kubernetes: (more info).\nWith docker installed do\ndocker pull nielsbasjes/yauaa\ndocker run -p8080:8080 nielsbasjes/yauaa\nand then open\nhttp://localhost:8080/\n\n\nRelated projects\nStefano Balzarotti is putting a lot of effort into porting Yauaa to run in .NET standard.\nYou can track his efforts here on Github: Yauaa .NET standard and\ndownload his releases via Nuget.\nDonations\nIf this project has business value for you then don't hesitate to support me with a small donation.\n\nLicense\nYet Another UserAgent Analyzer\nCopyright (C) 2013-2021 Niels Basjes\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\nhttps://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n"},"README-Output.html":{"url":"README-Output.html","title":"The output to expect","keywords":"","body":"Example output\nAs an example the useragent of my phone:\n\nMozilla/5.0 (Linux; Android 7.0; Nexus 6 Build/NBD90Z) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.124 Mobile Safari/537.36\n\nis converted into this set of fields:\n\n\n\nField name\nValue\n\n\n\n\nDevice Class\nPhone\n\n\nDevice Name\nGoogle Nexus 6\n\n\nDevice Brand\nGoogle\n\n\nOperating System Class\nMobile\n\n\nOperating System Name\nAndroid\n\n\nOperating System Version\n7.0\n\n\nOperating System Name Version\nAndroid 7.0\n\n\nOperating System Version Build\nNBD90Z\n\n\nLayout Engine Class\nBrowser\n\n\nLayout Engine Name\nBlink\n\n\nLayout Engine Version\n53.0\n\n\nLayout Engine Version Major\n53\n\n\nLayout Engine Name Version\nBlink 53.0\n\n\nLayout Engine Name Version Major\nBlink 53\n\n\nAgent Class\nBrowser\n\n\nAgent Name\nChrome\n\n\nAgent Version\n53.0.2785.124\n\n\nAgent Version Major\n53\n\n\nAgent Name Version\nChrome 53.0.2785.124\n\n\nAgent Name Version Major\nChrome 53\n\n\n\nOutput fields\nThe resulting output fields can be classified into several categories:\n\nThe Device:\nThe hardware that was used.\nThe Operating System:\nThe base software that runs on the hardware\nThe Layout Engine:\nThe underlying core that converts the 'HTML' into a visual/interactive\nThe Agent:\nThe actual \"Browser\" that was used.\nExtra fields:\nIn some cases we have additional fields to describe the agent. These fields are among others specific fields for the Facebook and Kobo apps,\nand fields to describe deliberate useragent manipulation situations (Anonymization, Hackers, etc.)\n\nNote that not all fields are always available. So if you look at a specific field you will in general find null values and \"Unknown\" in there as well.\nThere are as little as possible lookup tables included the system really tries to analyze the useragent and extract values from it.\nThe aim of this approach is to have a system that can classify as much traffic as possible yet require as little as possible maintenance\nbecause all versions and in many places also the names of the used components are extracted without knowing them beforehand.\nValues explained\nDeviceClass\n\n\n\nValue\nMeaning\n\n\n\n\nDesktop\nThe device is assessed as a Desktop/Laptop class device\n\n\nAnonymized\nIn some cases the useragent has been altered by anonimization software\n\n\nUnknown\nWe really don't know, these are usually useragents that look normal yet contain almost no information about the device\n\n\nMobile\nA device that is mobile yet we do not know if it is a eReader/Tablet/Phone or Watch\n\n\nTablet\nA mobile device with a rather large screen (common > 7\")\n\n\nPhone\nA mobile device with a small screen (common \n\n\nWatch\nA mobile device with a tiny screen (common \n\n\nAugmented Reality\nA mobile device with a AR capabilities (like Google Glass)\n\n\nVirtual Reality\nA mobile device with a VR capabilities\n\n\neReader\nSimilar to a Tablet yet in most cases with an eInk screen\n\n\nSet-top box\nA connected device that allows interacting via a TV sized screen\n\n\nTV\nSimilar to Set-top box yet here this is built into the TV\n\n\nGame Console\n'Fixed' game systems like the PlayStation and XBox\n\n\nHandheld Game Console\n'Mobile' game systems like the 3DS\n\n\nVoice\nA voice driven device (i.e. ask a question and the page is read aloud). Like Alexa and Google Home.\n\n\nRobot\nRobots that visit the site\n\n\nRobot Mobile\nRobots that visit the site indicating they want to be seen as a Mobile visitor\n\n\nRobot Imitator\nRobots that visit the site pretending they are robots like google, but they are not. Note that in most cases they ARE Robots.\n\n\nHacker\nIn case scripting is detected in the useragent string, also fallback in really broken situations\n\n\n\nOperatingSystemClass\n\n\n\nValue\nMeaning\n\n\n\n\nDesktop\nThe type of OS you would run on a Desktop or Laptop\n\n\nMobile\nThe type of OS you would run on a Phone, Tablet or Watch\n\n\nCloud\nLooks like a thing that runs in a cloud environment\n\n\nEmbedded\nApparently embedded into something like a TV\n\n\nGame Console\nA game console like PS4, Xbox\n\n\nHacker\nA hacker, so it can really be anything.\n\n\nAnonymized\nIt was explicitly hidden\n\n\nUnknown\nWe don't know\n\n\n\nLayoutEngineClass\n\n\n\nValue\nMeaning\n\n\n\n\nBrowser\nA regular browser\n\n\nMobile App\nA mobile app which probably includes a regular webbrowser\n\n\nHacker\nA hacker, so it can really be anything.\n\n\nRobot\nA robot spidering the site\n\n\nSpecial\nSomething special we cannot fully classify\n\n\nUnknown\nWe don't know\n\n\n\nAgentClass\n\n\n\nValue\nMeaning\n\n\n\n\nBrowser\nA regular browser\n\n\nBrowser Webview\nA regular browser being used as part of a mobile app\n\n\nMobile App\nA mobile app\n\n\nRobot\nA robot that wants to be treated as a desktop device\n\n\nRobot Mobile\nA robot that wants to be treated as a mobile device\n\n\nCloud Application\nSomething running in a cloud (but not a regular robot)\n\n\nEmail Client\nThis is an email application that did the request\n\n\nVoice\nA voice driven 'browser' (i.e. ask a question and the page is read aloud). Like Alexa and Google Home.\n\n\nSpecial\nSomething special we cannot fully classify\n\n\nTestclient\nA website testing tool\n\n\nHacker\nA hacker, so it can really be anything.\n\n\nUnknown\nWe don't know\n\n\n\nAgentSecurity\n\n\n\nValue\nMeaning\n\n\n\n\nWeak security\nIndicated to use deliberately weakened encryption (usually due to export restrictions or local laws).\n\n\nStrong security\nIndicated to use strong (normal) encryption.\n\n\nUnknown\nIt was not specified (very common)\n\n\nHacker\nA hacker, so it can really be anything.\n\n\n\n"},"TryIt.html":{"url":"TryIt.html","title":"Try it online","keywords":"","body":"Try it!\nYou can try it online with your own browser here: https://try.yauaa.basjes.nl/.\nNOTES\n\nThis runs under a \"Free quota\" on Google AppEngine. If this quota is exceeded then it will simply become unavailable for that day.\nAfter a while of inactivity the instance is terminated so the first page may take 15-30 seconds to load.\nIf you really like this then run it on your local systems. It's much faster that way.\nA Docker image is provided. See this page about the WebServlet for more information.\n\n"},"README-Usage.html":{"url":"README-Usage.html","title":"Basic usage","keywords":"","body":"Using the analyzer\nTo use this analyzer you can use it either directly in your Java based applications or use one of\nthe User Defined Functions that are available for many of Apache bigdata tools (Pig, Hive, Flink, Beam, ...) as described here.\nUsing in Java applications\nTo use the library you must first add it as a dependency to your application.\nThe library has been published to maven central so that should work in almost any environment.\nIf you use a maven based project simply add this dependency to your project.\n\n nl.basjes.parse.useragent\n yauaa\n 5.22\n\n\n\nand in your application you can use it as simple as this\nUserAgentAnalyzer uaa = UserAgentAnalyzer\n .newBuilder()\n .hideMatcherLoadStats()\n .withCache(10000)\n .build();\n\nUserAgent agent = uaa.parse(\"Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.1.11) Gecko/20071127 Firefox/2.0.0.11\");\n\nfor (String fieldName: agent.getAvailableFieldNamesSorted()) {\n System.out.println(fieldName + \" = \" + agent.getValue(fieldName));\n}\nPlease instantiate a new UserAgentAnalyzer as few times as possible because the initialization step for a full UserAgentAnalyzer (i.e. all fields) usually takes something in the range of 2-5 seconds.\nIf you need multiple instances of the UserAgentAnalyzer then you MUST create a new Builder instance for each of those.\nNote that not all fields are available after every parse. So be prepared to receive a 'null' if you extract a specific name.\nSerialization\nIf your application needs to serialize the instance of the UserAgentAnalyzer then both the standard Java serialization and\nKryo are supported. Note that with Kryo 5.x you need to register all classes and configure Kryo correctly.\nTo facilitate doing this correctly the static method configureKryo was created.\nSo in general your code should look something like this:\n Kryo kryo = new Kryo();\n UserAgentAnalyzer.configureKryo(kryo);\nNote that both the serializing and the deserializing instance of Kryo must be configured in the same way.\nAvoid using it as a static member\nIf you make the UserAgentAnalyzer a static member of a class then cleaning it up after use may be a problem.\nOne case where this happens is in the context of something like Tomcat where a webapp is loaded and then unloaded.\nIf the analyzer is a static member of your servlet then this unloading may retain a lot of the memory used for the internal\ndata structures.\nCache size setting\nI recommend you leave the cache to a size that is roughly the unique number of useragents your site finds\nin a limited timespan. Something like 15/30/60 minutes usually gives you a fine cache size.\nOn a very busy website I see ~50K-60K distinct useragents per day and ~10K per hour.\nSo in my opinion a cache size of 5K-10K elements is a good choice.\nLimiting to only certain fields\nIn some scenarios you only want a specific field and all others are unwanted.\nThis can be achieved by creating the analyzer in Java like this:\nUserAgentAnalyzer uaa;\n\nuaa = UserAgentAnalyzer\n .newBuilder()\n .withField(\"DeviceClass\")\n .withField(\"AgentNameVersionMajor\")\n .build();\nOne important effect is that this speeds up the system because it will kick any rules that do not help in getting the desired fields.\nThe above example showed an approximate 40% speed increase (i.e. times dropped from ~1ms to ~0.6ms).\nIn the nl.basjes.parse.useragent.UserAgent many (not all!!) of the provided variables are provided as a constant String.\nYou can choose to use these and avoid subtle typos in the requested attribute names.\nBuilding your project with -Xlint:all\nIf you are trying to get rid of all possible problems in your application and set the compiler flag -Xlint:all you will see warnings relating to the Kryo serialization system.\n[WARNING] COMPILATION WARNING :\n[INFO] -------------------------------------------------------------\n[WARNING] Cannot find annotation method 'value()' in type 'com.esotericsoftware.kryo.DefaultSerializer': class file for com.esotericsoftware.kryo.DefaultSerializer not found\n[WARNING] Cannot find annotation method 'value()' in type 'com.esotericsoftware.kryo.DefaultSerializer'\n[INFO] 2 warnings\nThe Yauaa analyzer has been prepared in such a way that it can be serialized using both the standard Java serialization and the Kryo serialization library.\nThe Kryo library has been configured as a \"provided\" dependency because many do not need it, and (to avoid version conflicts) those who do need it have this dependency already.\nIf your project does not use Kryo and you have this warning then there are several ways to work around this:\n\nDisable the Xlint check that triggers this warning. Apparently this is the \"classfile\" so try to use -Xlint:all,-classfile instead.\nAdd the otherwise needless Kryo library as a \"provided\" dependency to your project.\n\n com.esotericsoftware\n kryo\n 4.0.2\n provided\n\n\n\nTroubles with logging dependencies\nThe Yauaa engine uses SLF4J as the primary logging framework.\nA few small pieces from Spring are also included and these expect Apache (Jakarta) Commons logging like org.apache.commons.logging.LogFactory.\nIt all depends on your exact context what the best solution is for you to make all of this logging work as intended.\nEssentially you can redirect all JCL logging into SLF4J and then into the actual logging system with something as simple as this\n\n org.slf4j\n jcl-over-slf4j\n 1.7.30\n\n\n\n org.slf4j\n slf4j-simple\n 1.7.30\n\nor (if you really have to) can redirect all SLF4J into JCL by adding something like this\n\n org.slf4j\n slf4j-jcl\n 1.7.30\n\n\n commons-logging\n commons-logging\n 1.2\n\nI strongly recommend you check https://www.slf4j.org/legacy.html for more detailed information to find out what is best for your project.\nIMPORTANT: This library is single threaded !\nBecause the internal analyzer code is not reentrant the main method has been synchronized on the instance.\nSo from the prespective of you the application developer this library is thread safe.\nIf you are in a multi threaded situation you should create a separate instance per thread or accept the speed limitation of the shared synchronized instance.\nNote that you should really instantiate it only once per thread (and use a ThreadPool or something similar) because starting a new instance takes several seconds.\nEclipse users\nBe aware of there is a bug in Eclipse which will show you errors in perfectly valid Java code:\nhttps://bugs.eclipse.org/bugs/show_bug.cgi?id=527475\nThe errors you see are related to the inheritance model used by the Builders in this project and the fact that Eclipse does not interpret it correctly.\nScala usage\nWhen using this library from a Scala application the way the Builders have been constructed turns out to be very unfriendly to use.\nStarting with Yauaa version 5.14 the rewritten builders (contributed by Robert Stoll)\nwill become available which will make it a lot easier for Scala users to use:\nval uaa = UserAgentAnalyzer.newBuilder\n .withCache(10000)\n .hideMatcherLoadStats\n .withField(\"DeviceClass\")\n .build\nSnapshots\nOccasionally I publish a snapshot version.\nIf you want to use such a version then the repository can be configured in your maven with something like this\n\n \n sonatype-oss-snapshots\n Sonatype OSS Snapshots\n https://oss.sonatype.org/content/repositories/snapshots\n false\n true\n \n\n"},"README-Limitations.html":{"url":"README-Limitations.html","title":"Limitations of the engine","keywords":"","body":"Limitations\nThis system is based on analyzing the useragent string and looking for the patterns in the useragent string as they have been defined by parties like Google, Microsoft, Samsung and many others. These have been augmented with observations how developers apparently do things. There are really no (ok, very limited) lookup tables that define if a certain device name is a Phone or a Tablet. This makes this system very maintainable because there is no need to have a list of all possible devices.\nAs a consequence if a useragent does not follow these patterns the analysis will yield the 'wrong' answer.\nTake for example these two (both were found exactly as shown here in the logs of a live website):\nMozilla/5.0 (Linux; Android 5.1; SAMSUNG-T805s Build/KOT49H) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.94 Mobile Safari/537.36\nMozilla/5.0 (Linux; Android 4.4.2; SAMSUNG-T805S Build/KOT49H) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.89 Safari/537.36\nThe difference between \"Mobile Safari\" and \"Safari\" has been defined for Google Chrome as the difference between \"Phone\" and \"Tablet\" (see https://developer.chrome.com/multidevice/user-agent ).\nAnd as you can see in this example: we sometimes get it wrong.\nThe impact in this case is however very limited: Of the 445 visitors I found using this device only 2 were classified wrong all others were correct.\nA second example is when the Samsung Browser is installed on a non-Samsung device (in this example a Google Nexus 6):\nMozilla/5.0 (Linux; Android 7.0; SAMSUNG Nexus 6 Build/NBD92G) AppleWebKit/537.36 (KHTML, like Gecko) SamsungBrowser/5.4 Chrome/51.0.2704.106 Mobile Safari/537.36\nAs you can see this browser assumes it is only installed on Samsung devices so they 'force' the word Samsung in there.\nIn this case you will see this being reported as a \"Samsung Nexus 6\", which is obviously wrong.\nDevice Name and Device Brand\nThe detection of the brand and name of the device are the most britle and unreliable part of the output.\nThere are a few reasons for this:\n\nThere are a LOT of different devices from a LOT of vendors.\nTo give you an impression; In november 2018 I did a count on the index page of DeviceAtlas and found over 4100 brands and a total of over 55000 different devices.\nIn most cases the useragent string ONLY include the model of the device and NOT the brand. So you need to be able to determine JUST from the model what brand it was.\nThis system tries to limit the number of lookup tables and rely on patterns as much as possible. As a consequence I really do not want to have a complete list of all devices in here. So what are the patterns in the mapping from model to brand?\nI did an analysis on some of these brands and found that Acer, Lenovo, LG and QMobile all have a device called 'A200'.\nSo if the useragent only contains 'A200' there is no way to determine what device it really was.\n\nSo as a consequence I have chosen to limit this detection to\n\nBrands that are included as the first word in the appropriate field.\nSpecial cases (like robots)\nThe \"most used brands\" as good as possible.\n\nWARNING: The detection of DeviceBrand will therefor never be complete and accurate.\n"},"README-MemoryUsage.html":{"url":"README-MemoryUsage.html","title":"Memory usage","keywords":"","body":"Memory usage\nThe system relies heavily on HashMaps to quickly find the rules that need to be fired.\nSome fields only require a handful of rules where others have a lot of them.\nThis means that it depends on the fields that have been requested how many rules are kept in the system and\nthus how much memory is used to store the rules in.\nTo get an idea of the relative memory impact of the rules needed for a specific field.\nThis table was constructed by running all testcases against the engine where we only request 1 field.\nThen after forcing a GC in the JVM we retrieve the memory footprint.\nThe DeviceClass field is always extracted and as such can be seen as the baseline against not having\nthis engine running at all.\nBecause most rules determine several fields there is a lot of overlap in the rules used.\nIf you keep all rules we see that version 5.6 uses about 37 MiB of memory for all rules\non top of the rules for the DeviceClass (which is always extracted).\nExtracting everything will currently have a memory impact (without caching!) of about 114 MiB\n\n\n\nField\nRelative Memory usage\n\n\n\n\nDeviceClass (required)\n90.8 MiB\n\n\nDeviceName\n10.0 MiB\n\n\nDeviceBrand\n9.1 MiB\n\n\nDeviceCpu\n0.7 MiB\n\n\nDeviceCpuBits\n0.5 MiB\n\n\nDeviceFirmwareVersion\n1.1 MiB\n\n\nDeviceVersion\n0.4 MiB\n\n\nOperatingSystemClass\n1.2 MiB\n\n\nOperatingSystemName\n1.3 MiB\n\n\nOperatingSystemVersion\n1.3 MiB\n\n\nOperatingSystemVersionMajor\n1.5 MiB\n\n\nOperatingSystemNameVersion\n2.0 MiB\n\n\nOperatingSystemNameVersionMajor\n2.2 MiB\n\n\nOperatingSystemVersionBuild\n0.4 MiB\n\n\nLayoutEngineClass\n2.8 MiB\n\n\nLayoutEngineName\n2.8 MiB\n\n\nLayoutEngineVersion\n2.8 MiB\n\n\nLayoutEngineVersionMajor\n3.0 MiB\n\n\nLayoutEngineNameVersion\n3.2 MiB\n\n\nLayoutEngineNameVersionMajor\n3.4 MiB\n\n\nLayoutEngineBuild\n0.6 MiB\n\n\nAgentClass\n5.0 MiB\n\n\nAgentName\n5.2 MiB\n\n\nAgentVersion\n5.1 MiB\n\n\nAgentVersionMajor\n5.3 MiB\n\n\nAgentNameVersion\n5.7 MiB\n\n\nAgentNameVersionMajor\n5.8 MiB\n\n\nAgentBuild\n0.5 MiB\n\n\nAgentLanguage\n0.4 MiB\n\n\nAgentLanguageCode\n0.4 MiB\n\n\nAgentInformationEmail\n0.1 MiB\n\n\nAgentInformationUrl\n0.1 MiB\n\n\nAgentSecurity\n0.2 MiB\n\n\nAgentUuid\n0.3 MiB\n\n\nWebviewAppName\n1.0 MiB\n\n\nWebviewAppVersion\n1.0 MiB\n\n\nWebviewAppVersionMajor\n1.0 MiB\n\n\nWebviewAppNameVersionMajor\n1.1 MiB\n\n\nFacebookCarrier\n0.2 MiB\n\n\nFacebookDeviceClass\n0.2 MiB\n\n\nFacebookDeviceName\n0.2 MiB\n\n\nFacebookDeviceVersion\n0.2 MiB\n\n\nFacebookFBOP\n0.2 MiB\n\n\nFacebookFBSS\n0.5 MiB\n\n\nFacebookOperatingSystemName\n0.5 MiB\n\n\nFacebookOperatingSystemVersion\n0.5 MiB\n\n\nAnonymized\n0.1 MiB\n\n\nHackerAttackVector\n0.1 MiB\n\n\nHackerToolkit\n0.1 MiB\n\n\nKoboAffiliate\n0.1 MiB\n\n\nKoboPlatformId\n0.1 MiB\n\n\nIECompatibilityVersion\n0.4 MiB\n\n\nIECompatibilityVersionMajor\n0.4 MiB\n\n\nIECompatibilityNameVersion\n0.4 MiB\n\n\nIECompatibilityNameVersionMajor\n0.4 MiB\n\n\nCarrier\n0.2 MiB\n\n\nGSAInstallationID\n0.1 MiB\n\n\nNetworkType\n0.1 MiB\n\n\n\n"},"README-Performance.html":{"url":"README-Performance.html","title":"Performance","keywords":"","body":"Performance\nOn my i7 system I see a speed ranging from 500 to 4000 useragents per second (depending on the length and ambiguities in the useragent).\nOn average the speed is around 2000 per second or ~0.5ms each.\nA LRU cache is in place that does over 1M per second if they are in the cache.\nPlease note that the current system take approx 220MiB of RAM just for the engine (without any caching!!).\nIn the canonical usecase of analysing clickstream data you will see a \nThe graph below gives you some insight of how the performance of Yauaa has progressed over time.\nYou can clearly see the increase in the time needed when adding a lot more rules.\nAlso the periodic drops in time needed are clearly visible when a performance improvement was found.\nBetween version 5.5 and 5.6 a lot of extra rules to detect more brands of mobile devices on Android (at one point during development the needed time to reached ~ 3ms).\nFollowed by a few steps in a rewrite of that part resulting in effectively the fastest versions to date.\nOutput from the benchmark ( using this code ) on a Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz from version 4.0 onwards:\n\n\n\ngoogle.charts.load('current', {'packages':['corechart']});\ngoogle.charts.setOnLoadCallback(drawChart);\n\n"},"README-Commandline.html":{"url":"README-Commandline.html","title":"Commandline","keywords":"","body":"Commandline tool\nWarning\nThis commandline tool is unfinished and has some problems reading files and such.\nSo at this time: BETA quality.\nGetting the commandline tool\nYou can get the prebuild jar from maven central.\nIf you use a maven based project simply add this dependency\n\n nl.basjes.parse.useragent\n yauaa-commandline\n 5.22\n\n\n\nBuilding\nSimply install the normal build tools for a Java project (i.e. maven and jdk) and then simply do:\nmvn clean package\nExample usage\nGetting commandline help\n$ java -jar yauaa-commandline-*.jar\n\n/------------------------------------------------------------\\\n| Yauaa 2.0-SNAPSHOT (v1.4-63 @ 2017-08-05T07:22:55Z) |\n+------------------------------------------------------------+\n| For more information: https://github.com/nielsbasjes/yauaa |\n| Copyright (C) 2013-2019 Niels Basjes - License Apache 2.0 |\n\\------------------------------------------------------------/\n\nErrors: No input specified.\n\nUsage: java jar \n -bad : Output only cases that have a problem (default: false)\n -cache N : The number of elements that can be cached (LRU). (default:\n 10000)\n -csv : Output in csv format (default: false)\n -debug : Set to enable debugging. (default: false)\n -fields STRING[] : A list of the desired fieldnames (use 'Useragent' if you\n want the input value aswell)\n -fullFlatten : Set to flatten each parsed agent string. (default: false)\n -in VAL : Location of input file\n -json : Output in json format (default: false)\n -matchedFlatten : Set to get the flattened values that were relevant for the\n Matchers. (default: false)\n -ua VAL : A single useragent string\n -yaml : Output in yaml testcase format (default: false)\nYou will get the processing result via stdout and some informational stuff via stderr.\nDoing a single value\nNote that this is relatively slow because the full 2-3 seconds of startup overhead is incurred each time you start this.\nAGENT=\"Mozilla/5.0 (Linux; Android 7.0; Nexus 6 Build/NBD90Z) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.124 Mobile Safari/537.36\"\n\njava -jar yauaa-commandline-*.jar -yaml -ua \"${AGENT}\" > results.yaml\n\njava -jar yauaa-commandline-*.jar -json -ua \"${AGENT}\" > results.json\nDoing a large number of values\nFor streaming a file in it is recommended to use stdin like this\ncat useragents.txt | java -jar yauaa-commandline-*.jar -json -in - > results.json\nRunning in this mode will also show some statistics via stderr.\n/------------------------------------------------------------\\\n| Yauaa 2.0-SNAPSHOT (v1.4-63 @ 2017-08-05T07:22:55Z) |\n+------------------------------------------------------------+\n| For more information: https://github.com/nielsbasjes/yauaa |\n| Copyright (C) 2013-2019 Niels Basjes - License Apache 2.0 |\n\\------------------------------------------------------------/\n\nLoading from: \"classpath*:UserAgents/**/*.yaml\"\nLoaded 56 files\nBuilding all matchers\nBuilding 2314 (dropped 0) matchers from 52 files took 3278 msec resulted in 243070 hashmap entries\nAnalyzer stats\nLookups : 24\nMatchers : 2314 (total:2314 ; dropped: 0)\nHashmap size : 243070\nRanges map size : 5441\nTestcases : 771\nLines = 1000 (Ambiguities: 75 ; SyntaxErrors: 0) Analyze speed = 357/sec.\nLines = 2000 (Ambiguities: 66 ; SyntaxErrors: 0) Analyze speed = 472/sec.\nLines = 3000 (Ambiguities: 60 ; SyntaxErrors: 0) Analyze speed = 838/sec.\nLines = 4000 (Ambiguities: 54 ; SyntaxErrors: 0) Analyze speed = 973/sec.\nLines = 5000 (Ambiguities: 60 ; SyntaxErrors: 1) Analyze speed = 995/sec.\nLines = 6000 (Ambiguities: 55 ; SyntaxErrors: 0) Analyze speed = 1153/sec.\nLines = 7000 (Ambiguities: 56 ; SyntaxErrors: 0) Analyze speed = 1071/sec.\nLines = 8000 (Ambiguities: 70 ; SyntaxErrors: 1) Analyze speed = 1015/sec.\nLines = 9000 (Ambiguities: 70 ; SyntaxErrors: 0) Analyze speed = 1053/sec.\nLines = 10000 (Ambiguities: 74 ; SyntaxErrors: 0) Analyze speed = 1202/sec.\nLines = 11000 (Ambiguities: 42 ; SyntaxErrors: 0) Analyze speed = 1247/sec.\nLines = 12000 (Ambiguities: 68 ; SyntaxErrors: 0) Analyze speed = 1204/sec.\nLines = 13000 (Ambiguities: 37 ; SyntaxErrors: 0) Analyze speed = 1223/sec.\nLines = 14000 (Ambiguities: 66 ; SyntaxErrors: 0) Analyze speed = 1164/sec.\nLines = 15000 (Ambiguities: 43 ; SyntaxErrors: 0) Analyze speed = 1224/sec.\n-------------------------------------------------------------\nPerformance: 15402 in 17 sec --> 897/sec\n-------------------------------------------------------------\nParse results of 15402 lines\nParsed without error: 15400 (= 99.99%)\nParsed with error: 2 (= 0.01%)\nFully matched : 2642 (= 17.15%)\n-------------------------------------------------------------\nParse results of 996935 hits\nParsed without error: 996917 (=100.00%)\nParsed with error: 18 (= 0.00%)\nFully matched : 248862 (= 24.96%)\n-------------------------------------------------------------\n"},"README-WebServlet.html":{"url":"README-WebServlet.html","title":"WebServlet","keywords":"","body":"The demonstration webservlet\nPart of the distribution is a war file that is a servlet that has a webinterface and\nsome APIs that allow you to try things out.\nThis servlet can be downloaded via\n\n nl.basjes.parse.useragent\n yauaa-webapp\n 5.22\n war\n\n\n\nNOTE that this is a DEMONSTRATION servlet!\nIt is simply the library in a servlet, no optimizations or smart memory settings have been done at all.\nDocker\nStarting with version 5.14.1 the webservlet is also published to the central docker registry.\nhttps://hub.docker.com/r/nielsbasjes/yauaa\nSo with docker installed and running on your (Linux) desktop\nyou should be able to so something as simple as\ndocker pull nielsbasjes/yauaa:5.22\ndocker run -p8080:8080 nielsbasjes/yauaa:5.22\n\n\nand then open\nhttp://localhost:8080/\nin your browser to get the output of the servlet.\nCustom rules\nThe servlet supports loading your own custom rules, which can be useful to classify internal monitoring systems.\nIt does this by looking in the folder that start with UserAgents for yaml files (i.e. file:UserAgents*/*.yaml ).\nBased on the docker image this can be easily done with an additional layer where your entire Dockerfile looks like this\nFROM nielsbasjes/yauaa:5.22\nADD InternalTraffic.yaml UserAgents/\n\n\nWhen you build that docker image and run it the logging should contain something like this:\nLoading 1 rule files using expression: file:UserAgents*/*.yaml\n- Preparing InternalTraffic.yaml (9608 bytes)\n- Loaded 1 files in 11 msec using expression: file:UserAgents*/*.yaml\nKubernetes\nI've been playing around with Kubernetes and the code below \"works on my cluster\".\nBasic Service\nFirst create a dedicated namespace and a very basic deployment to run this image 3 times and\nexposes it as a Service that simply does http.\napiVersion: v1\nkind: Namespace\nmetadata:\n name: yauaa\n\n---\n\napiVersion: apps/v1\nkind: Deployment\nmetadata:\n name: yauaa\n namespace: yauaa\nspec:\n selector:\n matchLabels:\n app: yauaa\n replicas: 3\n template:\n metadata:\n labels:\n app: yauaa\n spec:\n containers:\n - name: yauaa\n image: nielsbasjes/yauaa:5.22\n ports:\n - containerPort: 8080\n name: yauaa\n protocol: TCP\n readinessProbe:\n httpGet:\n path: /running\n port: yauaa\n initialDelaySeconds: 2\n periodSeconds: 3\n livenessProbe:\n httpGet:\n path: /running\n port: yauaa\n initialDelaySeconds: 10\n periodSeconds: 10\n\n---\n\napiVersion: v1\nkind: Service\nmetadata:\n name: yauaa\n namespace: yauaa\nspec:\n selector:\n app: yauaa\n ports:\n - name: default\n protocol: TCP\n port: 80\n targetPort: 8080\n type: ClusterIP\n\n\nCustom rules in Kubernetes\nIn some cases you'll have internal systems with custom useragents.\nYou can write your own rules and include them in the deployment.\nFirst define your rules and store them as a configmap in k8s.\nYou can do this by putting the config files in a folder 'foo' and doing something like: kubectl create -n yauaa configmap niels-yauaa-rules --from-file=foo\nOr you can include them directly in the kubectl config file like this:\napiVersion: v1\nkind: ConfigMap\nmetadata:\n name: niels-yauaa-rules\n namespace: yauaa\ndata:\n MyCustomRules.yaml: |\n config:\n - matcher:\n require:\n - 'agent.product.name=\"NielsBasjes\"'\n extract:\n - 'CustomRuleDemonstrationName : 42 :\"A Simple demonstration of a custom rule\"'\n - 'CustomRuleDemonstrationWebsite : 42 :\"https://yauaa.basjes.nl\"'\n - test:\n input:\n user_agent_string: 'NielsBasjes/42 (https://niels.basjes.nl)'\n expected:\n DeviceClass : 'Robot'\n DeviceName : 'Basjes Robot'\n DeviceBrand : 'Basjes'\n OperatingSystemClass : 'Cloud'\n OperatingSystemName : 'Cloud'\n OperatingSystemVersion : '??'\n OperatingSystemVersionMajor : '??'\n OperatingSystemNameVersion : 'Cloud ??'\n OperatingSystemNameVersionMajor : 'Cloud ??'\n LayoutEngineClass : 'Unknown'\n LayoutEngineName : 'Unknown'\n LayoutEngineVersion : '??'\n LayoutEngineVersionMajor : '??'\n LayoutEngineNameVersion : 'Unknown ??'\n LayoutEngineNameVersionMajor : 'Unknown ??'\n AgentClass : 'Special'\n AgentName : 'NielsBasjes'\n AgentVersion : '42'\n AgentVersionMajor : '42'\n AgentNameVersion : 'NielsBasjes 42'\n AgentNameVersionMajor : 'NielsBasjes 42'\n AgentInformationUrl : 'https://niels.basjes.nl'\n CustomRuleDemonstrationName : 'A Simple demonstration of a custom rule'\n CustomRuleDemonstrationWebsite : 'https://yauaa.basjes.nl'\n\n\nThen the deployment must turn this config map into a volume and mount it in the pods.\nNote that the folder under which is is mounted must be a the root level and the name must start with \"UserAgent\".\nSo the deployment becomes something like this\napiVersion: apps/v1\nkind: Deployment\nmetadata:\n name: yauaa\n namespace: yauaa\nspec:\n selector:\n matchLabels:\n app: yauaa\n replicas: 3\n template:\n metadata:\n labels:\n app: yauaa\n spec:\n volumes:\n - name: niels-yauaa-rules-volume\n configMap:\n name: niels-yauaa-rules\n containers:\n - name: yauaa\n image: nielsbasjes/yauaa:5.22\n volumeMounts:\n # NOTE 1: The directory name MUST start with \"/UserAgents\" !!\n # NOTE 2: You can have multiple as long as the mountPaths are all different.\n - name: niels-yauaa-rules-volume\n mountPath: /UserAgents-Niels\n ports:\n - containerPort: 8080\n name: yauaa\n protocol: TCP\n readinessProbe:\n httpGet:\n path: /running\n port: yauaa\n initialDelaySeconds: 2\n periodSeconds: 3\n livenessProbe:\n httpGet:\n path: /running\n port: yauaa\n initialDelaySeconds: 10\n periodSeconds: 10\n\n\n\nAvailable outside the cluster (HTTP)\nDepending on your Kubernetes cluster you may have the option to change\nthe .spec.type of the above Service to LoadBalancer\nor you may choose to expose it via an Ingress.\nI have been able to get it working with the helm chart for stable/nginx-ingress where I have enabled SSL.\nSimply putting up an Ingress works something like this\n\napiVersion: extensions/v1beta1\nkind: Ingress\nmetadata:\n name: yauaa\n namespace: yauaa\n annotations:\n kubernetes.io/ingress.class: nginx\nspec:\n rules:\n - host: yauaa.example.nl\n http:\n paths:\n - backend:\n serviceName: yauaa\n servicePort: 80\n path: /\n\n\nAvailable outside the cluster (HTTPS)\nNow I wanted to use https:// instead of http://.\nBefore you can start this you need the SSL (TLS actually) certificate and key for the hostname you have.\nI created the required secret (in the correct namespace) with a command similar to this (I have letsencrypt):\nshell script\nkubectl -n yauaa create secret tls yauaa-cert --key=/etc/letsencrypt/live/example.nl/privkey.pem --cert=/etc/letsencrypt/live/example.nl/fullchain.pem\nAfter the secret has been put into place the Ingress can be created with SSL.\napiVersion: extensions/v1beta1\nkind: Ingress\nmetadata:\n name: yauaa\n namespace: yauaa\n annotations:\n kubernetes.io/ingress.class: nginx\n nginx.ingress.kubernetes.io/force-ssl-redirect: \"true\"\nspec:\n rules:\n - host: yauaa.example.nl\n http:\n paths:\n - backend:\n serviceName: yauaa\n servicePort: 80\n path: /\n tls:\n - hosts:\n - yauaa.example.nl\n secretName: yauaa-cert\n\n\n"},"UDFs.html":{"url":"UDFs.html","title":"Overview","keywords":"","body":"User Defined Functions\nSeveral external computation systems support the concept of a User Defined Function (UDF).\nA UDF is simply a way of making functionality (in this case the analysis of useragents)\navailable in such a system.\nFor several systems (tools used within\nbol.com (where I work))\nI have written such a UDF which are all part of this project.\n\nLogParser\nApache Beam\nApache Beam SQL\nApache Drill\nApache Flink\nApache Flink (Table/SQL)\nApache Hive\nApache Nifi\nApache Pig\nElastic Logstash\nElastic Search\n\n"},"UDF-LogParser.html":{"url":"UDF-LogParser.html","title":"LogParser","keywords":"","body":"User Defined Function for LogParser\nGetting the UDF\nYou can get the prebuilt UDF from maven central.\nIf you use a maven based project simply add this dependency\n\n nl.basjes.parse.useragent\n yauaa-logparser\n udf\n 5.22\n\n\n\n\nExample usage\n-- Import the UDF jar file so this script can use it\nREGISTER *.jar;\n\n%declare LOGFILE 'access.log'\n%declare LOGFORMAT '%h %l %u %t \"%r\" %>s %b \"%{Referer}i\" \"%{User-Agent}i\"'\n\nOSName =\n LOAD '$LOGFILE'\n USING nl.basjes.pig.input.apachehttpdlog.Loader( '$LOGFORMAT'\n , '-load:nl.basjes.parse.useragent.dissector.UserAgentDissector:'\n , 'STRING:request.user-agent.operating_system_name_version'\n ) AS (\n os_name:chararray\n );\n\nOSNameCount =\n FOREACH OSName\n GENERATE os_name AS os_name:chararray,\n 1L AS clicks:long;\n\nCountsPerOSName =\n GROUeP OSNameCount\n BY (os_name);\n\nSumsPerOSName =\n FOREACH CountsPerOSName\n GENERATE SUM(OSNameCount.clicks) AS clicks,\n group AS useragent;\n\nDUMP SumsPerOSName;\n\n--STORE SumsPerOSName\n-- INTO 'TopUseragents'\n-- USING org.apache.pig.piggybank.storage.CSVExcelStorage(' ','NO_MULTILINE', 'UNIX');\n"},"UDF-ApacheBeam.html":{"url":"UDF-ApacheBeam.html","title":"Apache Beam","keywords":"","body":"User Defined Function for Apache Beam\nGetting the UDF\nYou can get the prebuilt UDF from maven central.\nIf you use a maven based project simply add this dependency to your project.\n\n nl.basjes.parse.useragent\n yauaa-beam\n 5.22\n\n\n\nExample usage\nAssume you have a PCollection with your records.\nIn most cases I see (clickstream data) these records (In this example this class is called \"TestRecord\") contain the useragent string in a field and the parsed results must be added to these fields.\nNow you must do two things:\n\nDetermine the names of the fields you need.\nAdd an instance of the (abstract) UserAgentAnalysisDoFn function and implement the functions as shown in the example below. Use the YauaaField annotation to get the setter for the requested fields.\n\nNote that the name of the two setters is not important, the system looks at the annotation.\n.apply(\"Extract Elements from Useragent\",\n ParDo.of(new UserAgentAnalysisDoFn(15000) { // Setting the cacheSize\n @Override\n public String getUserAgentString(TestRecord record) {\n return record.useragent;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"DeviceClass\")\n public void setDC(TestRecord record, String value) {\n record.deviceClass = value;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"AgentNameVersion\")\n public void setANV(TestRecord record, String value) {\n record.agentNameVersion = value;\n }\n }));\nImmutable instances in Apache Beam\nApache Beam requires a DoFn to never modify the provided instance and to always return a new instance that is then passed to the next processing step.\nTo handle this in a generic way UserAgentAnalysisDoFn has a \"clone\" method that does this by means of doing a round trip through serialization. If you can do a more efficient way for your specific class then please override the clone method.\nNOTES on defining it as an anonymous class\nAn anonymous inner class in Java is by default private.\nIf you define it as an anonymous inner class as shown above then the system will try to make this class to become public by means of the method .setAccessible(true).\nThere are situations in which this will fail (amongst others the SecurityManager can block this). If you run into such a scenario then simply 'not' define it inline as an anonymous class and define it as a named (public) class instead.\nSo the earlier example will look something like this:\npublic class MyUserAgentAnalysisDoFn extends UserAgentAnalysisDoFn {\n @Override\n public String getUserAgentString(TestRecord record) {\n return record.useragent;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"DeviceClass\")\n public void setDC(TestRecord record, String value) {\n record.deviceClass = value;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"AgentNameVersion\")\n public void setANV(TestRecord record, String value) {\n record.agentNameVersion = value;\n }\n}\nand then in the topology simply do this\n.apply(\"Extract Elements from Useragent\",\n ParDo.of(new MyUserAgentAnalysisDoFn()));\n"},"UDF-ApacheBeamSql.html":{"url":"UDF-ApacheBeamSql.html","title":"Apache Beam SQL","keywords":"","body":"User Defined Function for Apache Beam SQL\nSTATUS: ... EXPERIMENTAL ...\nThe Beam SQL function is very new.\nThere are a few limitations related to the underlying Calcite version used in Beam.\nOnly limited testing has been done.\nGetting the UDF\nYou can get the prebuilt UDF from maven central.\nIf you use a maven based project simply add this dependency to your project.\n\n nl.basjes.parse.useragent\n yauaa-beam-sql\n 5.22\n\n\n\nAvailable functions\nAssuming the input\nMozilla\\/5.0 (Linux; Android 7.0; Nexus 6 Build/NBD90Z) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.124 Mobile Safari/537.36\nTo parse this input value into all possible values and returns the complete result as a single JSon string use this:\nParseUserAgentJson(userAgent)\nto give (single line)\n{\"Useragent\":\"Mozilla\\/5.0 (Linux; Android 7.0; Nexus 6 Build\\/NBD90Z) AppleWebKit\\/537.36 (KHTML, like Gecko) Chrome\\/53.0.2785.124 Mobile Safari\\/537.36\",\n\"DeviceClass\":\"Phone\",\"DeviceName\":\"Google Nexus 6\",\"DeviceBrand\":\"Google\",\n\"OperatingSystemClass\":\"Mobile\",\"OperatingSystemName\":\"Android\",\"OperatingSystemVersion\":\"7.0\",\"OperatingSystemVersionMajor\":\"7\",\"OperatingSystemNameVersion\":\"Android 7.0\",\"OperatingSystemNameVersionMajor\":\"Android 7\",\"OperatingSystemVersionBuild\":\"NBD90Z\",\n\"LayoutEngineClass\":\"Browser\",\"LayoutEngineName\":\"Blink\",\"LayoutEngineVersion\":\"53.0\",\"LayoutEngineVersionMajor\":\"53\",\"LayoutEngineNameVersion\":\"Blink 53.0\",\"LayoutEngineNameVersionMajor\":\"Blink 53\",\n\"AgentClass\":\"Browser\",\"AgentName\":\"Chrome\",\"AgentVersion\":\"53.0.2785.124\",\"AgentVersionMajor\":\"53\",\"AgentNameVersion\":\"Chrome 53.0.2785.124\",\"AgentNameVersionMajor\":\"Chrome 53\"}\nTo get a JSon with only specific fields you can do (up to 10 fields van be requested this way)\nParseUserAgentJson(userAgent, 'DeviceClass', 'AgentNameVersion')\nto give\n{\"DeviceClass\":\"Phone\",\"AgentNameVersion\":\"Chrome 53.0.2785.124\"}\nTo get a single value from the parse result use this one:\nParseUserAgentField(userAgent, 'DeviceClass')\nto give\nPhone\nExample usage\nAssume you have a PCollection with your records.\nPCollection input = ...\nYou can then put that through an SQL statement to transform it.\nYou have to name the input (in this example we call it InputStream),\nand you have to register the UDF classes you want to use with the name you want to have in your SQL statement.\nPCollection result =\n // This way we give a name to the input stream for use in the SQL\n PCollectionTuple.of(\"InputStream\", input)\n // Apply the SQL with the UDFs we need.\n .apply(\"Execute SQL\", SqlTransform\n .query(\"SELECT\" +\n \" userAgent AS userAgent, \" +\n \" ParseUserAgentJson(userAgent) AS parsedUserAgentJson, \" +\n \" ParseUserAgentField(userAgent, 'DeviceClass') AS deviceClass, \" +\n \" ParseUserAgentField(userAgent, 'AgentNameVersion') AS agentNameVersion \" +\n \"FROM InputStream\")\n .registerUdf(\"ParseUserAgentJson\", ParseUserAgentJson.class)\n .registerUdf(\"ParseUserAgentField\", ParseUserAgentField.class)\n );\nLimitations / Future\nSimply returning a Map of all keys and values is not yet possible because Apache Beam uses an older version of Calcite.\n\nhttps://issues.apache.org/jira/browse/BEAM-9267\nhttps://issues.apache.org/jira/browse/BEAM-9379\nhttps://github.com/apache/beam/pull/12962\n\nThe ParseUserAgentJson has a limitation of at most 10 fieldnames because Calcite does not yet support variable arguments for UDFs.\n\nhttps://issues.apache.org/jira/browse/CALCITE-2772\n\n"},"UDF-ApacheDrill.html":{"url":"UDF-ApacheDrill.html","title":"Apache Drill","keywords":"","body":"User Defined Function for Apache Drill\nIntroduction\nThis is an Apache Drill UDF for parsing User Agent Strings.\nThis function was originally created by Charles S. Givre and was imported into\nthe main Yauaa project to ensure users would have a prebuilt and up to date version available.\nSTATUS: ... Works on my machine ...\nI have copied/implemented the functions\nparse_user_agent ( )\nparse_user_agent_field ( , )\nAble to do basic unit test during build for the parse_user_agent_field function.\nNOT yet able to do automated testing for the parse_user_agent function.\nWhen I run it in a local drill the things I try work for the most (see below).\nI have not yet tested this in a distributed setup.\nSo please try it out and report any issues and/or improvements you see.\nGetting the UDF\nYou can get the prebuilt UDF from maven central.\nIf you use a maven based project simply add this dependency to your project.\n\n nl.basjes.parse.useragent\n yauaa-drill\n 5.22\n\n\n\nInstallation\nTo install this function put the jar file in the /jars/3rdparty directory.\ncp yauaa-drill-.jar /jars/3rdparty\nMake sure you replace with your actual path to your drill installation.\nNOTE: You do not need the yauaa-drill--sources.jar to run in drill.\nUsage and examples\nWorking queries with a direct value\nSELECT parse_user_agent_field('Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.82 Safari/537.36', 'AgentNameVersion') from (values(1));\n\n+----------------------+\n| EXPR$0 |\n+----------------------+\n| Chrome 48.0.2564.82 |\n+----------------------+\nThis one doesn't work\nSELECT parse_user_agent('Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.82 Safari/537.36') from (values(1));\n\nError: PLAN ERROR: Failure while materializing expression in constant expression evaluator [PARSE_USER_AGENT('Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.82 Safari/537.36')]. Errors:\nError in expression at index -1. Error: Only ProjectRecordBatch could have complex writer function. You are using complex writer function parse_user_agent in a non-project operation!. Full expression: --UNKNOWN EXPRESSION--.\nAssume the file /tmp/testcase.tsv which contains 2 lines:\nMozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.82 Safari/537.36\nMozilla/5.0 (iPhone; CPU iPhone OS 8_3 like Mac OS X) AppleWebKit/600.1.4 (KHTML, like Gecko) Version/8.0 Mobile/12F70 Safari/600.1.4 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)\nWorking queries using the input file\nSELECT parse_user_agent_field(columns[0], 'AgentNameVersion') AS AgentNameVersion from dfs.`/tmp/testcase.tsv`;\n\n+----------------------+\n| AgentNameVersion |\n+----------------------+\n| Chrome 48.0.2564.82 |\n| Googlebot 2.1 |\n+----------------------+\nand\nSELECT parse_user_agent(columns[0]) AS AgentNameVersion from dfs.`/tmp/testcase.tsv`;\n\n+------------------+\n| AgentNameVersion |\n+------------------+\n| {\n \"DeviceClass\": \"Desktop\",\n \"DeviceName\": \"Linux Desktop\",\n \"DeviceBrand\": \"Unknown\",\n \"DeviceCpu\": \"Intel x86_64\",\n \"DeviceCpuBits\": \"64\",\n \"OperatingSystemClass\": \"Desktop\",\n \"OperatingSystemName\": \"Linux\",\n \"OperatingSystemVersion\": \"Intel x86_64\",\n \"OperatingSystemNameVersion\": \"Linux Intel x86_64\",\n \"LayoutEngineClass\": \"Browser\",\n \"LayoutEngineName\": \"Blink\",\n \"LayoutEngineVersion\": \"48.0\",\n \"LayoutEngineVersionMajor\": \"48\",\n \"LayoutEngineNameVersion\": \"Blink 48.0\",\n \"LayoutEngineNameVersionMajor\": \"Blink 48\",\n \"AgentClass\": \"Browser\",\n \"AgentName\": \"Chrome\",\n \"AgentVersion\": \"48.0.2564.82\",\n \"AgentVersionMajor\": \"48\",\n \"AgentNameVersion\": \"Chrome 48.0.2564.82\",\n \"AgentNameVersionMajor\": \"Chrome 48\" } |\n| {\n \"DeviceClass\": \"Robot Mobile\",\n \"DeviceName\": \"Google\",\n \"DeviceBrand\": \"Google\",\n \"OperatingSystemClass\": \"Cloud\",\n \"OperatingSystemName\": \"Google\",\n \"OperatingSystemVersion\": \"Google\",\n \"OperatingSystemNameVersion\": \"Google\",\n \"LayoutEngineClass\": \"Robot\",\n \"LayoutEngineName\": \"Googlebot\",\n \"LayoutEngineVersion\": \"Googlebot\",\n \"LayoutEngineVersionMajor\": \"Googlebot\",\n \"LayoutEngineNameVersion\": \"Googlebot\",\n \"LayoutEngineNameVersionMajor\": \"Googlebot\",\n \"AgentClass\": \"Robot Mobile\",\n \"AgentName\": \"Googlebot\",\n \"AgentVersion\": \"2.1\",\n \"AgentVersionMajor\": \"2\",\n \"AgentNameVersion\": \"Googlebot 2.1\",\n \"AgentNameVersionMajor\": \"Googlebot 2\",\n \"AgentInformationUrl\": \"http://www.google.com/bot.html\" } |\n+------------------+\nThe function returns a Drill map, so you can access any of the fields using Drill's table.map.key notation.\nFor example, the query below illustrates how to extract a field from this map and summarize it:\nSELECT uadata.ua.AgentNameVersion AS Browser,\nCOUNT( * ) AS BrowserCount\nFROM (\n SELECT parse_user_agent( columns[0] ) AS ua\n FROM dfs.`/tmp/testcase.tsv`\n) AS uadata\nGROUP BY uadata.ua.AgentNameVersion\nORDER BY BrowserCount DESC;\n\n+----------------------+---------------+\n| Browser | BrowserCount |\n+----------------------+---------------+\n| Chrome 48.0.2564.82 | 1 |\n| Googlebot 2.1 | 1 |\n+----------------------+---------------+\n"},"UDF-ApacheFlink.html":{"url":"UDF-ApacheFlink.html","title":"Apache Flink","keywords":"","body":"User Defined Function for Apache Flink\nGetting the UDF\nYou can get the prebuilt UDF from maven central.\nIf you use a maven based project simply add this dependency to your project.\n\n nl.basjes.parse.useragent\n yauaa-flink\n 5.22\n\n\n\nExample usage\nAssume you have a DataSet or DataStream with your records.\nIn most cases I see (clickstream data) these records (In this example this class is called \"TestRecord\") contain the useragent string in a field and the parsed results must be added to these fields.\nNow you must do two things:\n\nDetermine the names of the fields you need.\nAdd an instance of the (abstract) UserAgentAnalysisMapper mapper and implement the functions as shown in the example below. Use the Field annotation to get the setter for the requested fields.\n\nNote that the name of the two setters is not important, the system looks at the annotation.\n.map(new UserAgentAnalysisMapper(15000) { // Setting the cacheSize\n @Override\n public String getUserAgentString(TestRecord record) {\n return record.useragent;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"DeviceClass\")\n public void setDC(TestRecord record, String value) {\n record.deviceClass = value;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"AgentNameVersion\")\n public void setANV(TestRecord record, String value) {\n record.agentNameVersion = value;\n }\n})\nNOTES on defining it as an anonymous class\nAn anonymous inner class in Java is by default private.\nIf you define it as an anonymous inner class as shown above then the system will try to make this class to become public by means of the method .setAccessible(true).\nThere are situations in which this will fail (amongst others the SecurityManager can block this). If you run into such a scenario then simply 'not' define it inline as an anonymous class and define it as a named (public) class instead.\nSo the earlier example will look something like this:\npublic class MyUserAgentAnalysisMapper extends UserAgentAnalysisMapper {\n @Override\n public String getUserAgentString(TestRecord record) {\n return record.useragent;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"DeviceClass\")\n public void setDC(TestRecord record, String value) {\n record.deviceClass = value;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"AgentNameVersion\")\n public void setANV(TestRecord record, String value) {\n record.agentNameVersion = value;\n }\n}\nand then in the topology simply do this\n.map(new MyUserAgentAnalysisMapper())\n"},"UDF-ApacheFlinkTable.html":{"url":"UDF-ApacheFlinkTable.html","title":"Apache Flink (Table/SQL)","keywords":"","body":"User Defined Function for Apache Flink Table\nGetting the UDF\nYou can get the prebuilt UDF from maven central.\nIf you use a maven based project simply add this dependency to your project.\n\n nl.basjes.parse.useragent\n yauaa-flink-table\n 5.22\n\n\n\n\nIMPORTANT: Breaking API change\nIn version 5.15 this function was rewritten and as a consequence the API has changed.\nThe function now returns a Map with all the requested values in one go.\nSyntax\nAssume you register this function under the name ParseUserAgent\nThen the generic usage in your SQL is\nParseUserAgent()\n\nThis returns a Map with all the requested values in one go.\nExample usage (Java)\nAssume you have a either a BatchTableEnvironment or a StreamTableEnvironment in which you have defined your records as a table.\nIn most cases I see (clickstream data) these records contain the useragent string in a column.\n// Give the stream a Table Name\ntableEnv.registerDataStream(\"AgentStream\", inputStream, \"timestamp, url, useragent\");\nNow you must do four things:\n\nDetermine the names of the fields you need.\nRegister the function with the full list of all the fields you want under the name you want.\nUse the function in your SQL to do the parsing and extract the fields from that.\nRun the query\n\n// Register the function with all the desired fieldnames and optionally the size of the cache\ntableEnv.registerFunction(\"ParseUserAgent\", new AnalyzeUseragentFunction(15000, \"DeviceClass\", \"AgentNameVersionMajor\"));\n\n// Define the query.\nString sqlQuery =\n \"SELECT useragent,\"+\n \" ParseUserAgent(useragent) as parsedUseragent\" +\n \"FROM AgentStream\";\n\nTable resultTable = tableEnv.sqlQuery(sqlQuery);\n\n// A String and the Map with all results\nTypeInformation tupleType = new RowTypeInfo(STRING, MAP(STRING, STRING));\nDataStream resultSet = tableEnv.toAppendStream(resultTable, tupleType);\nor something like this\n// Register the function with all the desired fieldnames and optionally the size of the cache\ntableEnv.registerFunction(\"ParseUserAgent\", new AnalyzeUseragentFunction(15000, \"DeviceClass\", \"AgentNameVersionMajor\"));\n\n// Define the query.\nString sqlQuery =\n \"SELECT useragent,\"+\n \" parsedUseragent['DeviceClass'] AS deviceClass,\" +\n \" parsedUseragent['AgentNameVersionMajor'] AS agentNameVersionMajor \" +\n \"FROM ( \" +\n \" SELECT useragent,\" +\n \" ParseUserAgent(useragent) AS parsedUseragent\" +\n \" FROM AgentStream \" +\n \")\";\n\nTable resultTable = tableEnv.sqlQuery(sqlQuery);\n\n// 3 Strings\nTypeInformation tupleType = new RowTypeInfo(STRING, STRING, STRING);\nDataStream resultSet = tableEnv.toAppendStream(resultTable, tupleType);\n"},"UDF-ApacheHive.html":{"url":"UDF-ApacheHive.html","title":"Apache Hive","keywords":"","body":"User Defined Function for Apache Hive\nGetting the UDF\nYou can get the prebuilt UDF from maven central (yauaa-hive-5.22-udf.jar).\nNOTE: You MUST use the -udf.jar: yauaa-hive-5.22-udf.jar\nIf you use a maven based project simply add this dependency\n\n nl.basjes.parse.useragent\n yauaa-hive\n udf\n 5.22\n\n\n\nBuilding\nSimply install the normal build tools for a Java project (i.e. maven and jdk) and then simply do:\nmvn clean package\nExample usage\nFirst the jar file must be 'known'\nEither by doing\nADD JAR hdfs:///yauaa-hive-5.22-udf.jar\n\nor by defining it as a permanent function\nCREATE FUNCTION ParseUserAgent\nAS 'nl.basjes.parse.useragent.hive.ParseUserAgent'\nUSING JAR 'hdfs:///yauaa-hive-5.22-udf.jar';\n\n\nIf you are using a recent version of Hive you can also do\nCREATE FUNCTION ParseUserAgent\nAS 'nl.basjes.parse.useragent.hive.ParseUserAgent'\nUSING JAR 'ivy://nl.basjes.parse.useragent:yauaa-hive:5.22?classifier=udf';\n\n\nor installing it locally with the Hive Server\nTODO: Document installation\nVerify if it has been installed\nDESCRIBE FUNCTION ParseUserAgent;\n\n+-----------------------------------------------------------------------+\n| tab_name |\n+-----------------------------------------------------------------------+\n| ParseUserAgent(str) - Parses the UserAgent into all possible pieces. |\n+-----------------------------------------------------------------------+\n\n\n> DESCRIBE FUNCTION EXTENDED ParseUserAgent;\n+---------------------------------------------------------------------------+\n| tab_name |\n+---------------------------------------------------------------------------+\n| parseuseragent(str) - Parses the UserAgent into all possible pieces. |\n| Synonyms: default.parseuseragent |\n| Example: |\n| > SELECT ParseUserAgent(useragent).DeviceClass, |\n| ParseUserAgent(useragent).OperatingsystemNameVersion, |\n| ParseUserAgent(useragent).AgentNameVersionMajor |\n| FROM clickLogs; |\n| +---------------+-----------------------------+------------------------+ |\n| | deviceclass | operatingsystemnameversion | agentnameversionmajor | |\n| +---------------+-----------------------------+------------------------+ |\n| | Phone | Android 6.0 | Chrome 46 | |\n| | Tablet | Android 5.1 | Chrome 40 | |\n| | Desktop | Linux Intel x86_64 | Chrome 59 | |\n| | Game Console | Windows 10.0 | Edge 13 | |\n| +---------------+-----------------------------+------------------------+ |\n| |\n+---------------------------------------------------------------------------+\nBasic test it works (trimmed the output here)\n> SELECT ParseUserAgent('Mozil la/5.0 (Linux\\; Android 6.0\\; Nexus 6 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.76 Mobile Safari/537.36');\n+----------------------------------------------------+\n| _c0 |\n+----------------------------------------------------+\n| { \"deviceclass\":\"Phone\",\n \"devicename\":\"Google Nexus 6\",\n \"devicebrand\":\"Google\",\n ...\n \"operatingsystemnameversion\":\"Android 6.0\",\n ...\n \"layoutenginenameversion\":\"Blink 46.0\",\n ...\n \"agentclass\":\"Browser\",\n ...\n \"agentnameversion\":\"Chrome 46.0.2490.76\",\n ...\n } |\n+----------------------------------------------------+\n1 row selected (5.682 seconds)\nUsage example:\nCREATE TABLE useragents (useragent STRING COMMENT 'The useragent string');\n\nINSERT INTO TABLE useragents VALUES ('Mozilla/5.0 (Linux\\; Android 6.0\\; Nexus 6 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.76 Mobile Safari/537.36');\nINSERT INTO TABLE useragents VALUES ('Mozilla/5.0 (Linux\\; Android 5.1\\; Nexus 10 Build/LMY47D) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.109 Safari/537.36');\nINSERT INTO TABLE useragents VALUES ('Mozilla/5.0 (X11\\; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36');\nINSERT INTO TABLE useragents VALUES ('Mozilla/5.0 (Windows NT 10.0\\; Win64\\; x64\\; Xbox\\; Xbox One) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2486.0 Safari/537.36 Edge/13.10553');\nSELECT ParseUserAgent(useragent).DeviceClass, ParseUserAgent(useragent).OperatingsystemNameVersion, ParseUserAgent(useragent).AgentName, ParseUserAgent(useragent).AgentNameVersionMajor from useragents;\n+---------------+-----------------------------+------------+------------------------+\n| deviceclass | operatingsystemnameversion | agentname | agentnameversionmajor |\n+---------------+-----------------------------+------------+------------------------+\n| Phone | Android 6.0 | Chrome | Chrome 46 |\n| Tablet | Android 5.1 | Chrome | Chrome 40 |\n| Desktop | Linux Intel x86_64 | Chrome | Chrome 59 |\n| Game Console | Windows 10.0 | Edge | Edge 13 |\n+---------------+-----------------------------+------------+------------------------+\n"},"UDF-ApacheNifi.html":{"url":"UDF-ApacheNifi.html","title":"Apache Nifi","keywords":"","body":"User Defined Function for Apache Nifi\nIntroduction\nThis is an Apache Nifi Processor for parsing User Agent Strings.\nGetting the Processor\nYou can get the prebuilt NAR file from maven central.\nIf you use a maven based project simply add this dependency\n\n nl.basjes.parse.useragent\n yauaa-nifi\n nar\n 5.22\n\n\n\nInstallation\nTo install this function put the nar file in the /lib directory.\ncp ./udfs/nifi/nifi-nar/target/yauaa-nifi-.nar /lib\nMake sure you replace with your actual path to your nifi installation.\nAfter you have added this nar file you will find the ParseUserAgent processor in the list.\n\nUsage and examples\n\nFirst you make sure that the FLowFile going into this processor has the attribute \"UseragentString\" that contains the string to be analyzed.\n\nIn the configuration enable the fields you need for analysis. By default none have been selected.\n\n\nThe output FlowFile will now have additional attributes for all of the selected attributes that are named\nUseragent.SelectedField.\nKey: 'Useragent.DeviceClass'\n Value: 'Phone'\nKey: 'Useragent.OperatingSystemNameVersion'\n Value: 'Android 4.1.2'\n\n\n"},"UDF-ApachePig.html":{"url":"UDF-ApachePig.html","title":"Apache Pig","keywords":"","body":"User Defined Function for Apache Pig\nGetting the UDF\nYou can get the prebuilt UDF from maven central.\nIf you use a maven based project simply add this dependency\n\n nl.basjes.parse.useragent\n yauaa-pig\n udf\n 5.22\n\n\n\nExample usage\n-- Import the UDF jar file so this script can use it\nREGISTER ../target/*-udf.jar;\n\n------------------------------------------------------------------------\n-- Define a more readable name for the UDF and pass optional parameters\n-- First parameter is ALWAYS the cache size (as a text string!)\n-- The parameters after that are the requested fields.\n----------\n-- If you simply want 'everything'\n-- DEFINE ParseUserAgent nl.basjes.parse.useragent.pig.ParseUserAgent;\n----------\n-- If you just want to set the cache\n-- DEFINE ParseUserAgent nl.basjes.parse.useragent.pig.ParseUserAgent('10000');\n----------\n-- If you want to set the cache and only retrieve the specified fields\nDEFINE ParseUserAgent nl.basjes.parse.useragent.pig.ParseUserAgent('10000', 'DeviceClass', 'DeviceBrand' );\n\nrawData =\n LOAD 'testcases.txt'\n USING PigStorage()\n AS ( useragent: chararray );\n\nUaData =\n FOREACH rawData\n GENERATE useragent,\n -- Do NOT specify a type for this field as the UDF provides the definitions\n ParseUserAgent(useragent) AS parsedAgent;\n"},"UDF-Logstash.html":{"url":"UDF-Logstash.html","title":"Elastic Logstash","keywords":"","body":"User Defined Function (Filter plugin) for Elastic Logstash\nSTATUS: ... EXPERIMENTAL ...\nThe logstash UDF java api is still experimental.\nSee for more information:\n\nhttps://github.com/logstash-plugins/logstash-filter-java_filter_example\nhttps://github.com/elastic/logstash/issues/9215\n\nGetting the UDF\nYou can get the prebuilt filter from the github releases page.\nBuilding has side effects !\nBecause at this time none of the required dependencies are in maven central this build does something rarely seen:\nIt downloads the entire logstash distribution, extracts the logstash-core.jar and installs it locally for maven\nto use as dependency.\nSo your local maven repo will get a jar injected that is not normally available via Maven central or something similar.\nSee these for more details:\n\nhttps://github.com/nielsbasjes/yauaa/issues/146\nhttps://github.com/elastic/logstash/issues/11002\n\nInstalling the filter\nYou only need to install it into your logstash once per installation\nlogstash-plugin remove logstash-filter-yauaa\nlogstash-plugin install ./udfs/logstash/target/logstash-filter-yauaa-5.22.gem\n\nExample usage\nYou need to specify\n\nThe source field\nFor each Yauaa field you need the logstash field in which it needs to be placed.\n\nfilter {\n yauaa {\n source => \"message\"\n fields => {\n DeviceClass => \"DevCls\"\n AgentNameVersion => \"AgntNmVrsn\"\n }\n }\n}\nWhen running this example I get output like this that has the new fields \"DevCls\" and \"AgntNmVrsn\":\n{\n \"@timestamp\" => 2019-02-13T10:42:57.491Z,\n \"message\" => \"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.82 Safari/537.36\",\n \"@version\" => \"1\",\n \"host\" => \"niels-laptop\",\n \"AgntNmVrsn\" => \"Chrome 48.0.2564.82\",\n \"DevCls\" => \"Desktop\",\n \"path\" => \"/tmp/useragent.txt\"\n}\n"},"UDF-ElasticSearch.html":{"url":"UDF-ElasticSearch.html","title":"Elastic Search","keywords":"","body":"User Defined Function (ingest processor) for Elastic Search\nSTATUS: ... EXPERIMENTAL ...\nThe ElasticSearch ingest plugin is very new.\nAnd yes it is similar to https://www.elastic.co/guide/en/elasticsearch/reference/master/user-agent-processor.html\nGetting the UDF\nYou can get the prebuilt ingest plugin from maven central.\nInstalling the plugin\nYou only need to install it into your elasticsearch once\nbin/elasticsearch-plugin install file:///path/to/yauaa-elasticsearch-5.22.zip\n\nUsage\nThis plugin is intended to be used in an ingest pipeline.\nYou have to specify the name of the input field and the place where\nthe possible configuration flags are:\n\n\n\nName\nMandatory/Optional\nDescription\nDefault\nExample\n\n\n\n\nfield\nM\nThe name of the input field that contains the UserAgent string\n-\n\"useragent\"\n\n\ntarget_field\nM\nThe name of the output structure that will be filled with the parse results\n\"user_agent\"\n\"parsed_ua\"\n\n\nfieldNames\nO\nA list of Yauaa fieldnames that are desired. When specified the system will limit processing to what is needed to get these. This means faster and less memory used.\nAll possible fields\n[ \"DeviceClass\", \"DeviceBrand\", \"DeviceName\", \"AgentNameVersionMajor\" ]\n\n\ncacheSize\nO\nThe number of entries in the LRU cache of the parser\n10000\n100\n\n\npreheat\nO\nHow many testcases are put through the parser at startup to warmup the JVM\n0\n1000\n\n\nextraRules\nO\nA yaml expression that is a set of extra rules and testcases.\n-\n\"config:\\n- matcher:\\n extract:\\n - '\"'\"'FirstProductName : 1 :agent.(1)product.(1)name'\"'\"'\\n\"\n\n\n\nExample usage\nBasic pipeline\nCreate a pipeline that just extracts everything using the default settings:\ncurl -H 'Content-Type: application/json' -X PUT 'localhost:9200/_ingest/pipeline/yauaa-test-pipeline_basic' -d '\n{\n \"description\": \"A pipeline to do whatever\",\n \"processors\": [\n {\n \"yauaa\" : {\n \"field\" : \"useragent\",\n \"target_field\" : \"parsed\"\n }\n }\n ]\n}\n'\nCommon pipeline\nIn this example a pipeline is created that only gets the fields that are actually desired.\ncurl -H 'Content-Type: application/json' -X PUT 'localhost:9200/_ingest/pipeline/yauaa-test-pipeline_some' -d '\n{\n \"description\": \"A pipeline to do whatever\",\n \"processors\": [\n {\n \"yauaa\" : {\n \"field\" : \"useragent\",\n \"target_field\" : \"parsed\",\n \"fieldNames\" : [ \"DeviceClass\", \"DeviceBrand\", \"DeviceName\", \"AgentNameVersionMajor\", \"FirstProductName\" ],\n }\n }\n ]\n}\n'\nAdvanced pipeline\nIn this example a pipeline is created that includes an example of a custom rule.\nThe hardest part is making the yaml (with quotes, newlines and the needed indentation) encode correctly inside a JSon structure.\ncurl -H 'Content-Type: application/json' -X PUT 'localhost:9200/_ingest/pipeline/yauaa-test-pipeline_full' -d '\n{\n \"description\": \"A pipeline to do whatever\",\n \"processors\": [\n {\n \"yauaa\" : {\n \"field\" : \"useragent\",\n \"target_field\" : \"parsed\",\n \"fieldNames\" : [ \"DeviceClass\", \"DeviceBrand\", \"DeviceName\", \"AgentNameVersionMajor\", \"FirstProductName\" ],\n \"cacheSize\" : 10,\n \"preheat\" : 10,\n \"extraRules\" : \"config:\\n- matcher:\\n extract:\\n - '\"'\"'FirstProductName : 1 :agent.(1)product.(1)name'\"'\"'\\n\"\n }\n }\n ]\n}\n'\nPut record\nI put a record in ElasticSearch using the above mentioned Advanced pipeline\ncurl -H 'Content-Type: application/json' -X PUT 'localhost:9200/my-index/my-type/1?pipeline=yauaa-test-pipeline_full' -d '\n{\n \"useragent\" : \"Mozilla/5.0 (Linux; Android 7.0; Nexus 6 Build/NBD90Z) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.124 Mobile Safari/537.36\"\n}\n'\nwhich returns\n{\"_index\":\"my-index\",\"_type\":\"my-type\",\"_id\":\"1\",\"_version\":1,\"result\":\"created\",\"_shards\":{\"total\":2,\"successful\":1,\"failed\":0},\"_seq_no\":0,\"_primary_term\":1}\nthen I retrieve the record from elasticsearch and the additional parse results are now part of the indexed record.\ncurl -s -H 'Content-Type: application/json' -X GET 'localhost:9200/my-index/my-type/1' | python -m json.tool\nresults in\n{\n \"_id\": \"1\",\n \"_index\": \"my-index\",\n \"_primary_term\": 1,\n \"_seq_no\": 0,\n \"_source\": {\n \"parsed\": {\n \"AgentName\": \"Chrome\",\n \"AgentNameVersionMajor\": \"Chrome 53\",\n \"AgentVersion\": \"53.0.2785.124\",\n \"AgentVersionMajor\": \"53\",\n \"DeviceBrand\": \"Google\",\n \"DeviceClass\": \"Phone\",\n \"DeviceName\": \"Google Nexus 6\",\n \"FirstProductName\": \"Mozilla\"\n },\n \"useragent\": \"Mozilla/5.0 (Linux; Android 7.0; Nexus 6 Build/NBD90Z) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.124 Mobile Safari/537.36\"\n },\n \"_type\": \"my-type\",\n \"_version\": 1,\n \"found\": true\n}\nNOTES for developers\nThe ElasticSearch testing tools are quick to complain about jar classloading issues: \"jar hell\".\nTo make it possible to test this in IntelliJ you'll need to set a custom property\n1) Help --> Edit Custom properties\n2) Make sure there is a line with idea.no.launcher=true\n3) Restart IntelliJ\nSee also https://stackoverflow.com/questions/51045201/using-the-elasticsearch-test-framework-in-intellij-how-to-resolve-the-jar-hell/51045272\n"},"Internals-BaseDesign.html":{"url":"Internals-BaseDesign.html","title":"Base design idea","keywords":"","body":"Parsing Useragents\nParsing useragents is considered by many to be a ridiculously hard problem.\nThe main problems are:\n\nAlthough there seems to be a specification, many do not follow it.\nUseragents LIE that they are their competing predecessor with an extra flag.\n\nThe pattern the 'normal' browser builders are following is that they all LIE about the ancestor they are trying to improve upon.\nThe reason this system (historically) works is because a lot of website builders do a very simple check to see if they can use a specific feature.\nif (useragent.contains(\"Chrome\")) {\n // Use the chrome feature we need.\n}\nSome may improve on this an actually check the (major) version that follows.\nA good example of this is the Edge browser:\nMozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.135 Safari/537.36 Edge/12.10136\nIt says it:\n\nis Mozilla/5.0\nuses AppleWebKit/537.36\nfor \"compatibility\" the AppleWebKit lie about being \"KHTML\" and that it is similar to \"Gecko\" are also copied\nis Chrome 42\nis Safari 537\nis Edge 12\n\nSo any website looking for the word it triggers upon will find it and enable the right features.\nIn 2014 an RFC for HTTP was released (RFC 7231 section 5.5.3) which now explitly states:\n... implementations are encouraged not to use the product\ntokens of other implementations in order to declare compatibility\nwith them, as this circumvents the purpose of the field.\n... encouraged ...\nHow many other analyzers work\nWhen looking at most implementations of analysing the useragents I see that most implementations are based around\nlists of regular expressions.\nThese are (in the systems I have seen) executed in a specific order to find the first one that matches.\nIn this solution direction the order in which things occur determines if the patterns match or not.\nRegular expressions are notoriously hard to write and debug and (unless you make them really complex) the order in which parts of the pattern occur is fixed.\nCore design idea\nI wanted to see if a completely different approach would work: Can we actually parse these things into a tree and work from there.\nThe parser (ANTLR4 based) will be able to parse a lot of the agents but not all.\nTests have shown that it will parse >99% of all useragents on a large website which is more than 99.99% of the traffic.\nNow the ones that it is not able to parse are the ones that have been set manually to a invalid value.\nSo if that happens we assume you are a hacker.\nIn all other cases we have matchers that are triggered if a specific value is found by the parser.\nSuch a matcher then tells this class is has found a match for a certain attribute with a certain confidence level (0-10000).\nIn the end the matcher that has found a match with the highest confidence for a value 'wins'.\nHigh level implementation overview\nThe main concept of this useragent parser is that we have two things:\n\nA Parser (ANTLR4) that converts the useragent into a nice tree through which we can walk along.\nA collection of matchers.\nA matcher triggers if a set of patterns is present in the tree.\nEach pattern is detected by a \"matcher action\" that triggers and can fill a single attribute.\nIf a matcher triggers a set of attributes get set with a value and a confidence level\nAll results from all triggered matchers (and actions) are combined and for each individual attribute the 'highest value' wins.\n\n\n\nAs a performance optimization we walk along the parsed tree once and fire everything we find into a precomputed hashmap that\npoints to all the applicable matcher actions. As a consequence\n\nthe matching is relatively fast even though the number of matchers already runs into the few hundreds.\nthe startup is \"slow\"\nthe memory footprint is pretty big due to the number of matchers, the size of the hashmap and the cache of the parsed useragents.\n\nA much more in depth explanation can be found in the documentation on how to create new rules\n"},"Internals-MakingNewRules.html":{"url":"Internals-MakingNewRules.html","title":"Making new rules","keywords":"","body":"Detecting new useragent patterns\nWhen you find a useragent for which one or more of the fields are wrong there is the need to change the patterns and rules\nthat are used by this system for classifying these attributes.\nIn order to write rules this first described how the system works and what tools have been created to make writing new rules easier.\nBase problem: They all lie\nWhen looking at useragents it is clear that almost all of them include the name of predecessors/competitors\nwith which they are supposed to be compatible with.\nSo in general there is a ranking in the patterns; some are more true than others.\nSolution overview\nThe way this system solves all of this is by employing several steps:\n\nThe user agent string is parsed into a tree using Antlr4.\nThis tree is matched against a set of \"Matchers\"\nA matcher is\na set of patterns that must be present in the tree\na set of field/value combinations with a 'weight'\nthe value can be either a fixed value or a part of the tree.\n\n\nFor all matchers where ALL required patterns were present the\nfield/value/weight results are all combined. For fields where\nmultiple values were present the value with the highest weight 'wins'\n\nAll matchers are with tests placed in yaml files in the UserAgents directory.\nBecause of the system with the weights the order of the matchers is not\nchecked or guaranteed in any way. So if the two matchers may set the same\nfield to a different value then better make sure they have different weights.\nThe anatomy of a matcher\nA matcher consists of 3 parts\nrequire\nextract\noptions\nThe \"require\" part holds the patterns that must all result in a non-null value. The IsNull operator is intended to check that a specific value actually IS null.\nThe \"extract\" part is to send either a fixed string or an extracted pattern into a field with a certain numerical confidence.\nThere are a few possible option flags:\ninit This means the init output for this matcher must be shown. This is the same effect when running it without any extract values\nverbose This means that a LOT of debug output will be shown in the output.\nonly This means that ONLY this test must be run. No others.\nOnly IFF all require AND all extract patterns yielded a non-null value then will all of the extracted values be added to the end result.\nIn general a field will receive a value from multiple matchers; the value with the highest confidence value will be in the output.\nThe overall structure is this:\nconfig:\n- lookup:\n name: 'lookupname'\n map:\n \"From1\" : \"To1\"\n \"From2\" : \"To2\"\n \"From3\" : \"To3\"\n\n- set:\n name: 'setname'\n merge:\n - 'nameOtherSet'\n - 'nameOtherLookup'\n values:\n - 'foo'\n - 'bar'\n\n- matcher:\n options:\n - 'verbose'\n variable:\n - 'VariableName : Extract pattern'\n - 'VariableName : Extract pattern'\n require:\n - 'Require pattern'\n - 'Require pattern'\n extract:\n - 'FieldName : Confidence : Extract pattern'\n - 'FieldName : Confidence : Extract pattern'\n\n- test:\n options:\n - 'verbose'\n - 'init'\n input:\n user_agent_string: 'Useragent'\n expected:\n FieldName : 'ExpectedValue'\n FieldName : 'ExpectedValue'\n FieldName : 'ExpectedValue'\nA require pattern must simply yield a non-null value.\nThe IsNull operator only makes sense in the context of a require as with this you can check that a pattern may not exist.\nFor example to do checks like \"The last product in the list must be named foo\" you can write this\n- matcher:\n require:\n - 'IsNull[agent.product.name=\"foo\"^>]'\nAn extract pattern is either a fixed string \"foo\" or a path expression as explained later in this document.\nWhere the rules are located\nUnder the main resources there is a folder called UserAgents .\nIn the folder a collection of yaml files are located.\nEach of those files contains matchers, lookups, tests or any combination of them\nin any order. This means that in many cases you'll find a relevant test case close\nto the rules.\nUseragent parse tree model\nAccording to RFC-2616 a useragent consists of set of products. Each with an (optional) version and an (optional) comment block.\nhttps://www.w3.org/Protocols/rfc2616/rfc2616-sec3.html#sec3.8\nhttps://www.w3.org/Protocols/rfc2616/rfc2616-sec14.html#sec14.43\nAfter much analysis the model that this parser uses it as follows:\nThe whole string (the 'agent') is mostly cut into 'product' and 'text' parts.\nEach child node in the tree is numbered (1,2,3,...) within the context of the parent.\nA product has zero or more 'version' fields and zero or more 'comments' fields.\nEach comments' has one or more 'entry':\nIn a comment block like this 'foo/1.0 (one; two three; four)' we will have 3 entries (they are ; separated).\nFrom there the system recurses down within limitations.\nFlattened form of the tree\nIf we take this useragent as an example the tree is flattened into a set of 'breadcrumb' type paths.\nI put some spaces in various places so you can see what happens with those (in most places they are trimmed):\nfoo/1.0 ( one ; two three; four ) bar/2.0 (five;six seven)\nwill result in these paths (with their textual value)\nagent=\"foo/1.0 ( one ; two three; four ) bar/2.0 (five;six seven)\"\nagent.(1)product=\"foo/1.0 ( one ; two three; four )\"\nagent.(1)product[1-1]=\"foo\"\nagent.(1)product[1-2]=\"foo/1\"\nagent.(1)product[2-2]=\"1\"\nagent.(1)product[1-3]=\"foo/1.0\"\nagent.(1)product[3-3]=\"0\"\nagent.(1)product.(1)name=\"foo\"\nagent.(1)product.(1)name[1-1]=\"foo\"\nagent.(1)product.(1)version=\"1.0\"\nagent.(1)product.(1)version[1-1]=\"1\"\nagent.(1)product.(1)version[1-2]=\"1.0\"\nagent.(1)product.(1)version[2-2]=\"0\"\nagent.(1)product.(1)comments=\"( one ; two three; four )\"\nagent.(1)product.(1)comments.(1)entry=\"one\"\nagent.(1)product.(1)comments.(1)entry[1-1]=\"one\"\nagent.(1)product.(1)comments.(1)entry.(1)text=\"one\"\nagent.(1)product.(1)comments.(1)entry.(1)text[1-1]=\"one\"\nagent.(1)product.(1)comments.(2)entry=\"two three\"\nagent.(1)product.(1)comments.(2)entry[1-1]=\"two\"\nagent.(1)product.(1)comments.(2)entry[1-2]=\"two three\"\nagent.(1)product.(1)comments.(2)entry[2-2]=\"three\"\nagent.(1)product.(1)comments.(2)entry.(1)text=\"two three\"\nagent.(1)product.(1)comments.(2)entry.(1)text[1-1]=\"two\"\nagent.(1)product.(1)comments.(2)entry.(1)text[1-2]=\"two three\"\nagent.(1)product.(1)comments.(2)entry.(1)text[2-2]=\"three\"\nagent.(1)product.(1)comments.(3)entry=\"four\"\nagent.(1)product.(1)comments.(3)entry[1-1]=\"four\"\nagent.(1)product.(1)comments.(3)entry.(1)text=\"four\"\nagent.(1)product.(1)comments.(3)entry.(1)text[1-1]=\"four\"\nagent.(2)product=\"bar/2.0 (five;six seven)\"\nagent.(2)product[1-1]=\"bar\"\nagent.(2)product[1-2]=\"bar/2\"\nagent.(2)product[2-2]=\"2\"\nagent.(2)product[1-3]=\"bar/2.0\"\nagent.(2)product[3-3]=\"0\"\nagent.(2)product.(1)name=\"bar\"\nagent.(2)product.(1)name[1-1]=\"bar\"\nagent.(2)product.(1)version=\"2.0\"\nagent.(2)product.(1)version[1-1]=\"2\"\nagent.(2)product.(1)version[1-2]=\"2.0\"\nagent.(2)product.(1)version[2-2]=\"0\"\nagent.(2)product.(1)comments=\"(five;six seven)\"\nagent.(2)product.(1)comments.(1)entry=\"five\"\nagent.(2)product.(1)comments.(1)entry[1-1]=\"five\"\nagent.(2)product.(1)comments.(1)entry.(1)text=\"five\"\nagent.(2)product.(1)comments.(1)entry.(1)text[1-1]=\"five\"\nagent.(2)product.(1)comments.(2)entry=\"six seven\"\nagent.(2)product.(1)comments.(2)entry[1-1]=\"six\"\nagent.(2)product.(1)comments.(2)entry[1-2]=\"six seven\"\nagent.(2)product.(1)comments.(2)entry[2-2]=\"seven\"\nagent.(2)product.(1)comments.(2)entry.(1)text=\"six seven\"\nagent.(2)product.(1)comments.(2)entry.(1)text[1-1]=\"six\"\nagent.(2)product.(1)comments.(2)entry.(1)text[1-2]=\"six seven\"\nagent.(2)product.(1)comments.(2)entry.(1)text[2-2]=\"seven\"\nAs you can see there are a few special operators that allow comparing and extracting specific words.\nWalking around the tree\nIn many cases we want to get the version of the product with a specific name.\nThis means we should look to the product with that name and from there go 'up' to the product and from there select the 'version'.\nFor this purpose a special language has been created that allows walking through a tree from the point where a match was found and do additional\ncompare and string manipulation actions to obtain the value we are looking for.\nThis language also supports lookups (hashmaps) that do a case INsensitive lookup.\nNote that for finding a matching pattern the system will recurse through the parse tree from left to right.\nThe FIRST matching pattern is used for the end result.\nFor demonstrating the operators I'm using this user agent to explain the effects:\nfoo faa/1.0 2.3 (one; two three four) bar baz/2.0 3.0 (five; six seven)\nAvailable operators:\nWalking around the tree\n\n\n\nOperation\nSymbol\nExample\nResult value (if applicable)\n\n\n\n\nUp to parent\n^\nagent.(1)product.name^\nagent.(1)product\n\n\nNext Sibling\n>\nagent.(1)product>\nagent.(2)product\n\n\nPrevious Sibling\n\nagent.(2)product\nagent.(1)product\n\n\nDown to child\n.name\nagent.(1)product.version\n\n\n\nDown to specific child\n.(2)version\nagent.(1)product.(2)version\n\n\n\nDown to specific child range\n.(2-3)version\nagent.(1)product.(2-3)version\n\n\n\nDown to specific child range\n.(2-)version\nagent.(1)product.(2-)version\n\n\n\nDown to specific child range\n.(-5)version\nagent.(1)product.(-5)version\n\n\n\n\nComparing values in the tree\n\n\n\nOperation\nSymbol\nExample\nResult value (if applicable)\nExplain\n\n\n\n\nEquals\n=\nagent.(1)product.version=\"2.3\"\nagent.(1)product.(2)version\nThe second version is \"2.3\"\n\n\nNot equals\n!=\nagent.(1)product.version!=\"1.0\"\nagent.(1)product.(2)version\nThe second version is the first one when backtracking that is not \"1.0\"\n\n\nContains\n~\nagent.product.name~\"ar\"\nagent.(2)product.(1)name=\"bar baz\"\nThe first product name when backtracking that contains \"ar\"\n\n\nStarts with\n{\nagent.product.name{\"b\"\nagent.(2)product.(1)name=\"bar baz\"\nThe first product name when backtracking that starts with \"b\"\n\n\nEnds with\n}\nagent.product.name}\"z\"\nagent.(2)product.(1)name=\"bar baz\"\nThe first product name when backtracking that ends with \"z\"\n\n\n(Key)set contains\n?\nagent.product.name?mySetOfValues\nagent.(3)product.(1)name\nThe name of the third product was present in the defined set of values. This set may be a \"set\" or a \"lookup\" in the last case only the keys of this lookup will be evaluated\n\n\n(Key)set does NOT contain\n?!\nagent.product.name?!mySetOfValues\nagent.(3)product.(1)name\nThe name of the third product was NOT present in the defined set of values. This set may be a \"set\" or a \"lookup\" in the last case only the keys of this lookup will be evaluated\n\n\n\nExtracting substrings\nNote this fact agent.(1)product.(1)comments.(2)entry.(1)text=\"one two three four five\"\n\n\n\nOperation\nSymbol\nExample\nValue\n\n\n\n\nFirst N Words\n[-N]\nagent.(1)product.(1)comments.(2)entry.(1)text[-3]\none two three\n\n\nSingle Word at position N\n[N]\nagent.(1)product.(1)comments.(2)entry.(1)text[3]\nthree\n\n\nA range of words N-M\n[N-M]\nagent.(1)product.(1)comments.(2)entry.(1)text[2-4]\ntwo three four\n\n\nAll words to the end starting at N\n[N-]\nagent.(1)product.(1)comments.(2)entry.(1)text[3-]\nthree four five\n\n\nBack to full value\n@\nagent.(1)product.(1)comments.(2)entry.(1)text[2]=\"three\" agent.(1)product.(1)comments.(2)entry.(1)text[2]=\"three\"@\nthree one two three four five\n\n\n\nSpecial operations\n\n\n\nOperation\nSymbol\nExample\nResult value (if applicable)\n\n\n\n\nCheck if the expresssion resulted in a null 'no match' value.\nIsNull[expression]\nIsNull[agent.(1)product.(3)name]\ntrue\n\n\nReturn the result or the provided default value in case the expression was a null 'no match' value.\nDefaultIfNull[expression;defaultvalue]\nDefaultIfNull[agent.(1)product.(3)name;\"Something\"]\n\n\nCleanup the version from an _ separated to a . separated string\nCleanVersion[expression]\nCleanVersion[\"1_2_3\"]\n1.2.3\n\n\nReplace every occurrence of a String with another String (fixed text and case sensitive!)\nReplaceString[expression;search;replace]\nReplaceString[\"onefoofootwo\";\"foo\";\"bar\"]\nonebarbartwo\n\n\nLookUp the value against a lookup table\nLookUp[lookupname;expression]\nLookUp[OSNames;agent.product.entry.text]\n\n\nLookUp the value against a lookup table (with fallback in case no match)\nLookUp[lookupname;expression;defaultvalue]\nLookUp[OSNames;agent.product.entry.text;\"Unknown\"]\n\n\nLookUp the value against a lookup table and return the original value if a matching prefix is present.\nIsInLookUp[lookupname;expression]\nIsInLookUp[OSNames;agent.product.entry.text]\n\n\nLookUp the lookupname in the lookup table that the value contains\nLookUpContains[lookupname;expression]\nLookUpContains[OSNames;agent.product.entry.text]\n\n\nLookUp the lookupname in the lookup table that the value contains (with fallback in case no match)\nLookUpContains[lookupname;expression;defaultvalue]\nLookUpContains[OSNames;agent.product.entry.text;\"Unknown\"]\n\n\nLookUp the lookupname in the lookup table that the value contains and return the original value if a matching prefix is present.\nIsInLookUpContains[lookupname;expression]\nIsInLookUpContains[OSNames;agent.product.entry.text]\n\n\nLookUp the value against a lookup table and return the value where the key is the longest matching prefix of the value.\nLookUpPrefix[lookupname;expression]\nLookUpPrefix[OSNames;agent.product.entry.text]\n\n\nLookUp the value against a lookup table and return the value where the key is the longest matching prefix of the value (with fallback in case no match).\nLookUpPrefix[lookupname;expression;defaultvalue]\nLookUpPrefix[OSNames;agent.product.entry.text;\"Unknown\"]\n\n\nLookUp the value against a lookup table and return the value if there is NO matching prefix of the key.\nLookUpIsNotInPrefix[lookupname;expression]\nLookUpIsNotInPrefix[OSNames;agent.product.entry.text]\n\n\nLookUp the value against a lookup table and return the original value if a matching prefix is present.\nIsInLookUpPrefix[lookupname;expression]\nIsInLookUpPrefix[OSNames;agent.product.entry.text]\n\n\nPut a fixed string before an expression\nConcat[value;expression]\nConcat[\"Something\";agent.product.entry.text]\n\n\nPut a fixed string after an expression\nConcat[expression;value]\nConcat[agent.product.entry.text;\"Something\"]\n\n\nSurround the expression with both a prefix and a postfix\nConcat[value;expression;value]\nConcat[\"Something\";agent.product.entry.text;\"Something\"]\n\n\n\nChaining operators\nAn extensive example of walking around to get the right value.\nfoo faa/1.0/2.3 (one; two three four) bar baz/2.0/3.0 (five; six seven)\n\n\n\nExpression\nCurrent path\nValue\n\n\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"\nagent.(2)product.(1)comments.(2)entry.(1)text[2]\nseven\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^\nagent.(2)product.(1)comments.(2)entry\nsix seven\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^\nagent.(2)product.(1)comments\n(five; six seven)\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(2)product\nbar baz/2.0/3.0 (five; six seven)\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product\nfoo faa/1.0/2.3 (one; two three four)\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product.(1)name\nfoo faa\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product.(1)name\nfoo faa\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product\nfoo faa/1.0/2.3 (one; two three four)\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product.(1)comments\n(one; two three four)\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product.(1)comments.(1)entry\none\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product.(1)comments.(2)entry[2]\nthree\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product.(1)comments.(2)entry\ntwo three four\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product.(1)comments.(2)entry[1]\ntwo\n\n\n\nNote that the first possible match is returned.\nIf a child sibling or check fails the backtracking continues until the entire parse tree has been examined.\nI created a test that shows all of the debug output of this example: unit test and yaml file\nThis can also be run from the commandline using:\nmvn -Dtest=DocumentationExample -DfailIfNoTests=false test\nCreating a new rule\nAssume we got this useragent\nMozilla/5.0 (compatible; Foo/3.1; Bar)\nand let's just assume we want to set a field called MinorFooVersion if\nthe minor version of Foo is 1\nTo start we put the agent as a new test in one of the yaml files.\nIf we choose to create a new file make sure is starts with \"config:\"\n- test:\n input:\n user_agent_string: 'Mozilla/5.0 (compatible; Foo/3.1; Bar)'\nNow we run the unit test \"TestPredefinedBrowsers\".\nOn a normal computer this will take only about 1-5 seconds.\nThe output contains all the field values for this useragent in the exact form of a unit test.\nSo once you are happy with the result you can simply copy and past this into the yaml file.\nIn this case is looks something like this:\n- test:\n# options:\n# - 'verbose'\n# - 'init'\n# - 'only'\n input:\n user_agent_string: 'Mozilla/5.0 (compatible; Foo/3.1; Bar)'\n expected:\n DeviceClass : 'Unknown'\n DeviceName : 'Unknown'\n OperatingSystemClass : 'Unknown'\n OperatingSystemName : 'Unknown'\n OperatingSystemVersion : '??'\n LayoutEngineClass : 'Browser'\n LayoutEngineName : 'Mozilla'\n LayoutEngineVersion : '5.0'\n LayoutEngineVersionMajor : '5'\n LayoutEngineNameVersion : 'Mozilla 5.0'\n LayoutEngineNameVersionMajor : 'Mozilla 5'\n AgentClass : 'Browser'\n AgentName : 'Foo'\n AgentVersion : '3.1'\n AgentVersionMajor : '3'\n AgentNameVersion : 'Foo 3.1'\n AgentNameVersionMajor : 'Foo 3'\nThe output also contains all hard checked paths in the tree in the rough form\nof a matcher.\n- matcher:\n# options:\n# - 'verbose'\n require:\n# - '__SyntaxError__=\"false\"'\n# - 'agent=\"Mozilla/5.0 (compatible; Foo/3.1; Bar)\"'\n# - 'agent.(1)product=\"Mozilla/5.0 (compatible; Foo/3.1; Bar)\"'\n# - 'agent.(1)product[1-1]=\"Mozilla\"'\n# - 'agent.(1)product[1-2]=\"Mozilla/5\"'\n# - 'agent.(1)product[2-2]=\"5\"'\n# - 'agent.(1)product[1-3]=\"Mozilla/5.0\"'\n# - 'agent.(1)product[3-3]=\"0\"'\n# - 'agent.(1)product.(1)name=\"Mozilla\"'\n# - 'agent.(1)product.(1)name[1-1]=\"Mozilla\"'\n# - 'agent.(1)product.(1)version=\"5.0\"'\n# - 'agent.(1)product.(1)version[1-1]=\"5\"'\n# - 'agent.(1)product.(1)version[1-2]=\"5.0\"'\n# - 'agent.(1)product.(1)version[2-2]=\"0\"'\n# - 'agent.(1)product.(1)comments=\"(compatible; Foo/3.1; Bar)\"'\n# - 'agent.(1)product.(1)comments.(1)entry=\"compatible\"'\n# - 'agent.(1)product.(1)comments.(1)entry[1-1]=\"compatible\"'\n# - 'agent.(1)product.(1)comments.(1)entry.(1)text=\"compatible\"'\n# - 'agent.(1)product.(1)comments.(1)entry.(1)text[1-1]=\"compatible\"'\n# - 'agent.(1)product.(1)comments.(2)entry=\"Foo/3.1\"'\n# - 'agent.(1)product.(1)comments.(2)entry[1-1]=\"Foo\"'\n# - 'agent.(1)product.(1)comments.(2)entry[1-2]=\"Foo/3\"'\n# - 'agent.(1)product.(1)comments.(2)entry[2-2]=\"3\"'\n# - 'agent.(1)product.(1)comments.(2)entry[1-3]=\"Foo/3.1\"'\n# - 'agent.(1)product.(1)comments.(2)entry[3-3]=\"1\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product=\"Foo/3.1\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product[1-1]=\"Foo\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product[1-2]=\"Foo/3\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product[2-2]=\"3\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product[1-3]=\"Foo/3.1\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product[3-3]=\"1\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product.(1)name=\"Foo\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product.(1)name[1-1]=\"Foo\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product.(1)version=\"3.1\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product.(1)version[1-1]=\"3\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product.(1)version[1-2]=\"3.1\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product.(1)version[2-2]=\"1\"'\n# - 'agent.(1)product.(1)comments.(3)entry=\"Bar\"'\n# - 'agent.(1)product.(1)comments.(3)entry[1-1]=\"Bar\"'\n# - 'agent.(1)product.(1)comments.(3)entry.(1)text=\"Bar\"'\n# - 'agent.(1)product.(1)comments.(3)entry.(1)text[1-1]=\"Bar\"'\n extract:\n# - 'DeviceClass : 1:'\n# - 'DeviceBrand : 1:'\n# - 'DeviceName : 1:'\n# - 'OperatingSystemClass : 1:'\n# - 'OperatingSystemName : 1:'\n# - 'OperatingSystemVersion: 1:'\n# - 'LayoutEngineClass : 1:'\n# - 'LayoutEngineName : 1:'\n# - 'LayoutEngineVersion : 1:'\n# - 'AgentClass : 1:'\n# - 'AgentName : 1:'\n# - 'AgentVersion : 1:'\nIn our case we are only interested in the second digit of the version of the product named \"Foo\"\nSo we copy this and make it like this:\n- matcher:\n extract:\n - 'MinorFooVersion : 1:agent.(1)product.(1)comments.entry.(1)product.(1)name=\"Foo\"^.version[2]'\nWhat this does is that in the first product, in the first set of comments there is at any position an entry\nthat contains as the first element a product who's name is \"Foo\" that we go up in the tree and then down\nto the version of that product and then take the second word.\nNow if we run the unit test again we will see this:\n- test:\n# options:\n# - 'verbose'\n# - 'init'\n# - 'only'\n input:\n user_agent_string: 'Mozilla/5.0 (compatible; Foo/3.1; Bar)'\n expected:\n DeviceClass : 'Unknown'\n DeviceName : 'Unknown'\n OperatingSystemClass : 'Unknown'\n OperatingSystemName : 'Unknown'\n OperatingSystemVersion : '??'\n LayoutEngineClass : 'Browser'\n LayoutEngineName : 'Mozilla'\n LayoutEngineVersion : '5.0'\n LayoutEngineVersionMajor : '5'\n LayoutEngineNameVersion : 'Mozilla 5.0'\n LayoutEngineNameVersionMajor : 'Mozilla 5'\n AgentClass : 'Browser'\n AgentName : 'Foo'\n AgentVersion : '3.1'\n AgentVersionMajor : '3'\n AgentNameVersion : 'Foo 3.1'\n AgentNameVersionMajor : 'Foo 3'\n MinorFooVersion : '1'\nAs you can see this clearly shows that a new field has been added with the value we wanted.\nIf you want to change or add more rules then simply iterate over the steps until you have the\nend result you think is good.\nThen simply copy the end 'test' into the yaml file and save.\nIf you are detecting a new field or a new value for an existing field\nthen be aware that this may also apply to tests that are already present\nin the system. For all tests to pass these must be updated also.\nYou can choose to use this in a more \"Test Driven Development\" model also.\nSimply run the unit test, copy the 'raw testcase' into the yaml file and\nedit the values to what they should be and work from there.\nIf you run it this way your will get a 'failed test' which yields a bit\nof extra output.\nFor the sake of demo if I simply put this testcase in the yaml file\n- test:\n input:\n user_agent_string: 'Mozilla/5.0 (compatible; Foo/3.1; Bar)'\n expected:\n AgentClass : 'Browser'\n AgentName : 'Foo'\n AgentVersion : '3.1'\n AgentVersionMajor : '3'\n AgentNameVersion : 'Foo 3.1'\n AgentNameVersionMajor : 'Foo 3'\n MinorFooVersion : '1'\nThis would also show as test output:\nINFO UserAgentAnalyzerTester:320 - +--------+------------------------------+-------------+------------+------------+\nINFO UserAgentAnalyzerTester:337 - | Result | Field | Actual | Confidence | Expected |\nINFO UserAgentAnalyzerTester:339 - +--------+------------------------------+-------------+------------+------------+\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | DeviceClass | Unknown | -1 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | DeviceName | Unknown | -1 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | OperatingSystemClass | Unknown | -1 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | OperatingSystemName | Unknown | -1 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | OperatingSystemVersion | ?? | -1 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | LayoutEngineClass | Browser | 3 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | LayoutEngineName | Mozilla | 3 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | LayoutEngineVersion | 5.0 | 3 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | LayoutEngineVersionMajor | 5 | 3 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | LayoutEngineNameVersion | Mozilla 5.0 | 3 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | LayoutEngineNameVersionMajor | Mozilla 5 | 3 | > |\nINFO UserAgentAnalyzerTester:371 - | | AgentClass | Browser | 10 | |\nINFO UserAgentAnalyzerTester:371 - | | AgentName | Foo | 10 | |\nINFO UserAgentAnalyzerTester:371 - | | AgentVersion | 3.1 | 10 | |\nINFO UserAgentAnalyzerTester:371 - | | AgentVersionMajor | 3 | 10 | |\nINFO UserAgentAnalyzerTester:371 - | | AgentNameVersion | Foo 3.1 | 10 | |\nINFO UserAgentAnalyzerTester:371 - | | AgentNameVersionMajor | Foo 3 | 10 | |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | MinorFooVersion | >> | 0 | 1 |\nINFO UserAgentAnalyzerTester:386 - +--------+------------------------------+-------------+------------+------------+\nAs you can see the system will fail on missing fields, unexpected fields and wrong values.\nIf you create rules that in one of the test cases produce for the same field different values with the same confidence\nthen the test will fail with messages like this:\n - ***********************************************************\n - *** REALLY IMPORTANT ERRORS IN THE RULESET ***\n - *** YOU MUST CHANGE THE CONFIDENCE LEVELS OF YOUR RULES ***\n - ***********************************************************\n - Found different value for \"OperatingSystemName\" with SAME confidence 10: \"RIM OS\" and \"BlackBerry\"\n - Found different value for \"OperatingSystemName\" with SAME confidence 10: \"RIM OS\" and \"BlackBerry\"\n - Found different value for \"OperatingSystemName\" with SAME confidence 10: \"RIM OS\" and \"BlackBerry\"\n - Found different value for \"OperatingSystemVersion\" with SAME confidence 10: \"RIM OS\" and \"??\"\n - Found different value for \"OperatingSystemVersion\" with SAME confidence 10: \"RIM OS\" and \"??\"\n - Found different value for \"OperatingSystemVersion\" with SAME confidence 10: \"RIM OS\" and \"??\"\nNote that these do not need to be the 'winning' value.\nThe existence of the ambiguity is enough to fail.\nWiping values\nIn some cases a previously defined value needs to be erased with a higher confidence.\nTo achieve this simply set the value to >>\nIn addition there is a way to set all variables to a certain value by setting the special value __Set_ALL_Fields__\nBecause the ordering is defined by the confidence numbers you must make sure the confidence of the new values are\nat least 1 higher than the confidence of the __Set_ALL_Fields__.\nBoth of these can be combined into\nextract:\n - '__Set_ALL_Fields__ : 99:\">>\"'\nNote that ALL fields with a confidence below 99 will be wiped. So the field values you set in this matcher\nmust all be 1 higher than this or it will wipe itself too.\nPerformance considerations\nNote that in order to optimize the performance the paths that lead directly to a point in the tree are placed in a\nhashmap for very fast lookup.\nOnly if all 'direct paths' in a matcher are found only then the walking of those rules is attempted.\nSo one of the rules looks like this\n- matcher:\n require:\n - 'agent.product.(1)name=\"Chrome\"'\n - 'LookUp[ChromeLayoutEngineName;agent.product.(1)name=\"Chrome\"^.version[1]]'\n - 'agent.product.(1)name=\"AppleWebKit\"^.version[1]=\"537\"'\n - 'agent.product.(1)version[1]=\"537\"' # This is a matching speedup trick\n extract:\n - 'LayoutEngineClass : 1000:\"Browser\"'\n - 'LayoutEngineName : 1000:\"AppleWebKit\"'\n - 'LayoutEngineVersion : 1000:agent.product.(1)name=\"AppleWebKit\"^.version'\nThe agent.product.(1)version[1]=\"537\" is found immediately while walking through the parsed tree.\nSo if this one is not present then the other check \"Is the version of AppleWebKit equals to 537\"\nand the lookup are not even attempted. These kinds of tricks will speedup parsing.\nVariables\nThere is the option of predefining a value which is then usable by all rules in a matcher.\nA variable is simply a named point in the tree that is found only once and the reused as-is by the other rules within the same matcher.\nA variable is also always in essence a 'require', it must be present for the matcher as a whole to continue.\nYou can only reference a variable by name in a later variable. This is because they are evaluated in the order\nin which they appear in the definition in the file.\nThe variable name follows a similar pattern as variable names in languages like Java: [a-zA-Z][a-zA-Z0-9]+\nWhen referencing a variable (by means of @name) in an expression you must see it as a point in the tree that happens to have a name.\nThis looks like this:\n- matcher:\n variable:\n - 'Chrome : agent.product.(1)name=\"Chrome\"'\n - 'AppleWebKitVersion : agent.product.(1)name=\"AppleWebKit\"^.version'\n require:\n - 'LookUp[ChromeLayoutEngineName;@Chrome^.version[1]]'\n - '@AppleWebKitVersion[1]=\"537\"'\n - 'agent.product.(1)version[1]=\"537\"' # This is a matching speedup trick\n extract:\n - 'LayoutEngineClass : 1000:\"Browser\"'\n - 'LayoutEngineName : 1000:\"AppleWebKit\"'\n - 'LayoutEngineVersion : 1000:@AppleWebKitVersion'\nNote that the backtracking stops when the variable finds its first match.\nSo when defined like this:\nextract:\n- 'Something: 1: agent.product.(1)name=\"AppleWebKit\"^.version'\nit may find after backtracking that the 5th product matches\nagent.(5)product.(1)version\nYet when defined like this\nvariable:\n- 'productname: agent.product.(1)name'\nextract:\n- 'Something: 1: @productname=\"AppleWebKit\"^.version'\nit will stay at the first product and never find the 5th product at all.\n"},"NOTES-shading-dependencies.html":{"url":"NOTES-shading-dependencies.html","title":"Shading Java dependencies","keywords":"","body":"Introduction\nThis is a summary of the reasons WHY I have done the shading in this project the way it is now.\nIf someone has suggestions/hint on how this can be done better I'm really curious what the 'right' way of doing this is.\nThe base structure of this project is we have a module with the functionality and a set of 'UDFs'\nthat wrap this functionality so that it can be used in external processing frameworks (like Pig, Flink, Hive, etc.)\nBase goal\nThis library and the UDFs should be easy to use for all downstream users that want to use this in their projects.\nProblem 1: Problematic dependencies\nSome of the dependencies (Antlr4, Spring and SnakeYaml) have proven to be problematic\nfor downstream users who need different versions of these in the same application.\nSolution 1: Shade and relocate\nSo for only these we include and relocate the used classes into the main jar.\nIn the pom.xml\n\n org.apache.maven.plugins\n maven-shade-plugin\n\n \n true\n true\n \n \n org.springframework\n nl.basjes.shaded.org.springframework\n \n \n org.antlr\n nl.basjes.shaded.org.antlr\n \n \n org.yaml.snakeyaml\n nl.basjes.shaded.org.yaml.snakeyaml\n \n \n \n\n \n \n inject-problematic-dependencies\n package\n \n shade\n \n \n \n \n org.antlr:antlr4-runtime\n org.springframework:spring-core\n org.yaml:snakeyaml\n \n \n \n \n\n \n\nProblem 2: Transitive dependencies\nTurns out that a shaded jar still contains the original pom.xml that references the shaded dependencies.\nAs a consequence the downstream users (like the udfs in this project) still include the entire set of\ndependencies (not used by the code) in addition to the shaded versions (used by the code).\nThis is a known problem in the Maven shade plugin: https://issues.apache.org/jira/browse/MSHADE-36\nFor which I've put up a pull request: https://github.com/apache/maven-shade-plugin/pull/25\nSolution 2: Inject the dependency-reduced-pom.xml into the final jar\nThis way building an external project no longer includes things like Antlr a second time.\nScript: inject-dependency-reduced-pom-into-jar.sh:\n#!/bin/bash\ngroupId=$1\nartifactId=$2\nversion=$3\n\nDIR=META-INF/maven/${groupId}/${artifactId}\nmkdir -p target/${DIR}\ncp dependency-reduced-pom.xml target/${DIR}/pom.xml\njar -uf target/${artifactId}-${version}.jar -C target ${DIR}/pom.xml\nand in the pom.xml:\n\n org.codehaus.mojo\n exec-maven-plugin\n 1.6.0\n \n \n Inject dependency-reduced-pom.xml to the final jar file\n package\n \n exec\n \n \n ./inject-dependency-reduced-pom-into-jar.sh\n \n ${project.groupId}\n ${project.artifactId}\n ${project.version}\n \n \n \n \n\nProblem 3: The other modules look at the original pom.xml\nSo after solution 2 it is all fine for external projects using the created jar file because they look at\nthe pom.xml in that jar file.\nThe remaining problem is that any other module in this (multi module) project will look at the original pom.xml\ninstead of the cleaned one in the jar file.\nAs a consequence the Hive UDF jar file contains\n$ unzip -l udfs/hive/target/yauaa-hive-5.12-SNAPSHOT-udf.jar | fgrep org/springframework/core/io/ResourceLoader.class\n 494 2019-08-23 12:26 nl/basjes/shaded/org/springframework/core/io/ResourceLoader.class\n 487 2019-02-13 05:32 org/springframework/core/io/ResourceLoader.class\nI filed a bug report/ missing feature for this in the Maven shade plugin: https://issues.apache.org/jira/browse/MSHADE-326\nFor which I've put up a pull request: https://github.com/apache/maven-shade-plugin/pull/26\nSolution 3: Manually exclude them\nSo we exclude these 4 shaded dependencies in all modules in this project so they are no longer included double in the final jars.\nProblem 4: No such classfile ...\nWhich gives rise to a new problem: When building/developing these modules the code will complain about missing dependencies.\nThe dependencies have been shaded, relocated and excluded ... which means that any code looking for the 'orginal'\nclass name will find it to be missing.\nSolution 4: Include as 'provided'\nThe final step I had to take was to include these 4 dependencies again as 'provided' in all modules in this project.\nAdditional notes\n\nImmediately setting these dependencies to 'provided' causes them not to be included by the shade plugin.\nUsing the optional setting on the dependency caused \"missing classes\" errors in IntelliJ\n\n"},"Building.html":{"url":"Building.html","title":"Building","keywords":"","body":"Building\nSimply install the normal build tools for a Java project (i.e. maven and jdk 8+) and then simply do:\nmvn clean package\n"},"RelatedProjects.html":{"url":"RelatedProjects.html","title":"Related projects","keywords":"","body":"Related projects\nStefano Balzarotti is putting a lot of effort into porting Yauaa to run in .NET standard.\nYou can track his efforts here on Github: Yauaa .NET standard and\ndownload his releases via Nuget.\n"},"LICENSE.html":{"url":"LICENSE.html","title":"Apache 2.0 License","keywords":"","body":"Apache License\nVersion 2.0, January 2004\nhttps://www.apache.org/licenses/\nTERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION\nDefinitions.\nLicense shall mean the terms and conditions for use, reproduction,\nand distribution as defined by Sections 1 through 9 of this document.\nLicensor shall mean the copyright owner or entity authorized by\nthe 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I have done limited (local single node) testing. Please report anything you find so I can fix it.\n\nBlog post\nA bit more background about this useragent parser can be found in this blog which I wrote about it: https://techlab.bol.com/making-sense-user-agent-string/\nExample output\nAs an example the useragent of my phone:\n\nMozilla/5.0 (Linux; Android 7.0; Nexus 6 Build/NBD90Z) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.124 Mobile Safari/537.36\n\nis converted into this set of fields:\n\n\n\nField name\nValue\n\n\n\n\nDevice Class\nPhone\n\n\nDevice Name\nGoogle Nexus 6\n\n\nDevice Brand\nGoogle\n\n\nOperating System Class\nMobile\n\n\nOperating System Name\nAndroid\n\n\nOperating System Version\n7.0\n\n\nOperating System Name Version\nAndroid 7.0\n\n\nOperating System Version Build\nNBD90Z\n\n\nLayout Engine Class\nBrowser\n\n\nLayout Engine Name\nBlink\n\n\nLayout Engine Version\n53.0\n\n\nLayout Engine Version Major\n53\n\n\nLayout Engine Name Version\nBlink 53.0\n\n\nLayout Engine Name Version Major\nBlink 53\n\n\nAgent Class\nBrowser\n\n\nAgent Name\nChrome\n\n\nAgent Version\n53.0.2785.124\n\n\nAgent Version Major\n53\n\n\nAgent Name Version\nChrome 53.0.2785.124\n\n\nAgent Name Version Major\nChrome 53\n\n\n\nTry it!\nYou can try it online with your own browser here: https://try.yauaa.basjes.nl/.\nNOTES\n\nThis runs under a \"Free quota\" on Google AppEngine. If this quota is exceeded then it will simply become unavailable for that day.\nAfter a while of inactivity the instance is terminated so the first page may take 15-30 seconds to load.\nIf you really like this then run it on your local systems. It's much faster that way.\nA ready to run docker image that can be used in both local mode and also in Kubernetes: (more info).\nWith docker installed do\ndocker pull nielsbasjes/yauaa\ndocker run -p8080:8080 nielsbasjes/yauaa\nand then open\nhttp://localhost:8080/\n\n\nRelated projects\nStefano Balzarotti is putting a lot of effort into porting Yauaa to run in .NET standard.\nYou can track his efforts here on Github: Yauaa .NET standard and\ndownload his releases via Nuget.\nDonations\nIf this project has business value for you then don't hesitate to support me with a small donation.\n\nLicense\nYet Another UserAgent Analyzer\nCopyright (C) 2013-2021 Niels Basjes\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\nhttps://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n"},"README-Output.html":{"url":"README-Output.html","title":"The output to expect","keywords":"","body":"Example output\nAs an example the useragent of my phone:\n\nMozilla/5.0 (Linux; Android 7.0; Nexus 6 Build/NBD90Z) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.124 Mobile Safari/537.36\n\nis converted into this set of fields:\n\n\n\nField name\nValue\n\n\n\n\nDevice Class\nPhone\n\n\nDevice Name\nGoogle Nexus 6\n\n\nDevice Brand\nGoogle\n\n\nOperating System Class\nMobile\n\n\nOperating System Name\nAndroid\n\n\nOperating System Version\n7.0\n\n\nOperating System Name Version\nAndroid 7.0\n\n\nOperating System Version Build\nNBD90Z\n\n\nLayout Engine Class\nBrowser\n\n\nLayout Engine Name\nBlink\n\n\nLayout Engine Version\n53.0\n\n\nLayout Engine Version Major\n53\n\n\nLayout Engine Name Version\nBlink 53.0\n\n\nLayout Engine Name Version Major\nBlink 53\n\n\nAgent Class\nBrowser\n\n\nAgent Name\nChrome\n\n\nAgent Version\n53.0.2785.124\n\n\nAgent Version Major\n53\n\n\nAgent Name Version\nChrome 53.0.2785.124\n\n\nAgent Name Version Major\nChrome 53\n\n\n\nOutput fields\nThe resulting output fields can be classified into several categories:\n\nThe Device:\nThe hardware that was used.\nThe Operating System:\nThe base software that runs on the hardware\nThe Layout Engine:\nThe underlying core that converts the 'HTML' into a visual/interactive\nThe Agent:\nThe actual \"Browser\" that was used.\nExtra fields:\nIn some cases we have additional fields to describe the agent. These fields are among others specific fields for the Facebook and Kobo apps,\nand fields to describe deliberate useragent manipulation situations (Anonymization, Hackers, etc.)\n\nNote that not all fields are always available. So if you look at a specific field you will in general find null values and \"Unknown\" in there as well.\nThere are as little as possible lookup tables included the system really tries to analyze the useragent and extract values from it.\nThe aim of this approach is to have a system that can classify as much traffic as possible yet require as little as possible maintenance\nbecause all versions and in many places also the names of the used components are extracted without knowing them beforehand.\nValues explained\nDeviceClass\n\n\n\nValue\nMeaning\n\n\n\n\nDesktop\nThe device is assessed as a Desktop/Laptop class device\n\n\nAnonymized\nIn some cases the useragent has been altered by anonimization software\n\n\nUnknown\nWe really don't know, these are usually useragents that look normal yet contain almost no information about the device\n\n\nMobile\nA device that is mobile yet we do not know if it is a eReader/Tablet/Phone or Watch\n\n\nTablet\nA mobile device with a rather large screen (common > 7\")\n\n\nPhone\nA mobile device with a small screen (common \n\n\nWatch\nA mobile device with a tiny screen (common \n\n\nAugmented Reality\nA mobile device with a AR capabilities (like Google Glass)\n\n\nVirtual Reality\nA mobile device with a VR capabilities\n\n\neReader\nSimilar to a Tablet yet in most cases with an eInk screen\n\n\nSet-top box\nA connected device that allows interacting via a TV sized screen\n\n\nTV\nSimilar to Set-top box yet here this is built into the TV\n\n\nGame Console\n'Fixed' game systems like the PlayStation and XBox\n\n\nHandheld Game Console\n'Mobile' game systems like the 3DS\n\n\nVoice\nA voice driven device (i.e. ask a question and the page is read aloud). Like Alexa and Google Home.\n\n\nRobot\nRobots that visit the site\n\n\nRobot Mobile\nRobots that visit the site indicating they want to be seen as a Mobile visitor\n\n\nRobot Imitator\nRobots that visit the site pretending they are robots like google, but they are not. Note that in most cases they ARE Robots.\n\n\nHacker\nIn case scripting is detected in the useragent string, also fallback in really broken situations\n\n\n\nOperatingSystemClass\n\n\n\nValue\nMeaning\n\n\n\n\nDesktop\nThe type of OS you would run on a Desktop or Laptop\n\n\nMobile\nThe type of OS you would run on a Phone, Tablet or Watch\n\n\nCloud\nLooks like a thing that runs in a cloud environment\n\n\nEmbedded\nApparently embedded into something like a TV\n\n\nGame Console\nA game console like PS4, Xbox\n\n\nHacker\nA hacker, so it can really be anything.\n\n\nAnonymized\nIt was explicitly hidden\n\n\nUnknown\nWe don't know\n\n\n\nLayoutEngineClass\n\n\n\nValue\nMeaning\n\n\n\n\nBrowser\nA regular browser\n\n\nMobile App\nA mobile app which probably includes a regular webbrowser\n\n\nHacker\nA hacker, so it can really be anything.\n\n\nRobot\nA robot spidering the site\n\n\nSpecial\nSomething special we cannot fully classify\n\n\nUnknown\nWe don't know\n\n\n\nAgentClass\n\n\n\nValue\nMeaning\n\n\n\n\nBrowser\nA regular browser\n\n\nBrowser Webview\nA regular browser being used as part of a mobile app\n\n\nMobile App\nA mobile app\n\n\nRobot\nA robot that wants to be treated as a desktop device\n\n\nRobot Mobile\nA robot that wants to be treated as a mobile device\n\n\nCloud Application\nSomething running in a cloud (but not a regular robot)\n\n\nEmail Client\nThis is an email application that did the request\n\n\nVoice\nA voice driven 'browser' (i.e. ask a question and the page is read aloud). Like Alexa and Google Home.\n\n\nSpecial\nSomething special we cannot fully classify\n\n\nTestclient\nA website testing tool\n\n\nHacker\nA hacker, so it can really be anything.\n\n\nUnknown\nWe don't know\n\n\n\nAgentSecurity\n\n\n\nValue\nMeaning\n\n\n\n\nWeak security\nIndicated to use deliberately weakened encryption (usually due to export restrictions or local laws).\n\n\nStrong security\nIndicated to use strong (normal) encryption.\n\n\nUnknown\nIt was not specified (very common)\n\n\nHacker\nA hacker, so it can really be anything.\n\n\n\n"},"TryIt.html":{"url":"TryIt.html","title":"Try it online","keywords":"","body":"Try it!\nYou can try it online with your own browser here: https://try.yauaa.basjes.nl/.\nNOTES\n\nThis runs under a \"Free quota\" on Google AppEngine. If this quota is exceeded then it will simply become unavailable for that day.\nAfter a while of inactivity the instance is terminated so the first page may take 15-30 seconds to load.\nIf you really like this then run it on your local systems. It's much faster that way.\nA Docker image is provided. See this page about the WebServlet for more information.\n\n"},"README-Usage.html":{"url":"README-Usage.html","title":"Basic usage","keywords":"","body":"Using the analyzer\nTo use this analyzer you can use it either directly in your Java based applications or use one of\nthe User Defined Functions that are available for many of Apache bigdata tools (Pig, Hive, Flink, Beam, ...) as described here.\nUsing in Java applications\nTo use the library you must first add it as a dependency to your application.\nThe library has been published to maven central so that should work in almost any environment.\nIf you use a maven based project simply add this dependency to your project.\n\n nl.basjes.parse.useragent\n yauaa\n 5.23\n\n\n\nand in your application you can use it as simple as this\nUserAgentAnalyzer uaa = UserAgentAnalyzer\n .newBuilder()\n .hideMatcherLoadStats()\n .withCache(10000)\n .build();\n\nUserAgent agent = uaa.parse(\"Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.1.11) Gecko/20071127 Firefox/2.0.0.11\");\n\nfor (String fieldName: agent.getAvailableFieldNamesSorted()) {\n System.out.println(fieldName + \" = \" + agent.getValue(fieldName));\n}\nPlease instantiate a new UserAgentAnalyzer as few times as possible because the initialization step for a full UserAgentAnalyzer (i.e. all fields) usually takes something in the range of 2-5 seconds.\nIf you need multiple instances of the UserAgentAnalyzer then you MUST create a new Builder instance for each of those.\nNote that not all fields are available after every parse. So be prepared to receive a 'null' if you extract a specific name.\nSerialization\nIf your application needs to serialize the instance of the UserAgentAnalyzer then both the standard Java serialization and\nKryo are supported. Note that with Kryo 5.x you need to register all classes and configure Kryo correctly.\nTo facilitate doing this correctly the static method configureKryo was created.\nSo in general your code should look something like this:\n Kryo kryo = new Kryo();\n UserAgentAnalyzer.configureKryo(kryo);\nNote that both the serializing and the deserializing instance of Kryo must be configured in the same way.\nAvoid using it as a static member\nIf you make the UserAgentAnalyzer a static member of a class then cleaning it up after use may be a problem.\nOne case where this happens is in the context of something like Tomcat where a webapp is loaded and then unloaded.\nIf the analyzer is a static member of your servlet then this unloading may retain a lot of the memory used for the internal\ndata structures.\nCache size setting\nI recommend you leave the cache to a size that is roughly the unique number of useragents your site finds\nin a limited timespan. Something like 15/30/60 minutes usually gives you a fine cache size.\nOn a very busy website I see ~50K-60K distinct useragents per day and ~10K per hour.\nSo in my opinion a cache size of 5K-10K elements is a good choice.\nLimiting to only certain fields\nIn some scenarios you only want a specific field and all others are unwanted.\nThis can be achieved by creating the analyzer in Java like this:\nUserAgentAnalyzer uaa;\n\nuaa = UserAgentAnalyzer\n .newBuilder()\n .withField(\"DeviceClass\")\n .withField(\"AgentNameVersionMajor\")\n .build();\nOne important effect is that this speeds up the system because it will kick any rules that do not help in getting the desired fields.\nThe above example showed an approximate 40% speed increase (i.e. times dropped from ~1ms to ~0.6ms).\nIn the nl.basjes.parse.useragent.UserAgent many (not all!!) of the provided variables are provided as a constant String.\nYou can choose to use these and avoid subtle typos in the requested attribute names.\nBuilding your project with -Xlint:all\nIf you are trying to get rid of all possible problems in your application and set the compiler flag -Xlint:all you will see warnings relating to the Kryo serialization system.\n[WARNING] COMPILATION WARNING :\n[INFO] -------------------------------------------------------------\n[WARNING] Cannot find annotation method 'value()' in type 'com.esotericsoftware.kryo.DefaultSerializer': class file for com.esotericsoftware.kryo.DefaultSerializer not found\n[WARNING] Cannot find annotation method 'value()' in type 'com.esotericsoftware.kryo.DefaultSerializer'\n[INFO] 2 warnings\nThe Yauaa analyzer has been prepared in such a way that it can be serialized using both the standard Java serialization and the Kryo serialization library.\nThe Kryo library has been configured as a \"provided\" dependency because many do not need it, and (to avoid version conflicts) those who do need it have this dependency already.\nIf your project does not use Kryo and you have this warning then there are several ways to work around this:\n\nDisable the Xlint check that triggers this warning. Apparently this is the \"classfile\" so try to use -Xlint:all,-classfile instead.\nAdd the otherwise needless Kryo library as a \"provided\" dependency to your project.\n\n com.esotericsoftware\n kryo\n 4.0.2\n provided\n\n\n\nTroubles with logging dependencies\nThe Yauaa engine uses SLF4J as the primary logging framework.\nA few small pieces from Spring are also included and these expect Apache (Jakarta) Commons logging like org.apache.commons.logging.LogFactory.\nIt all depends on your exact context what the best solution is for you to make all of this logging work as intended.\nEssentially you can redirect all JCL logging into SLF4J and then into the actual logging system with something as simple as this\n\n org.slf4j\n jcl-over-slf4j\n 1.7.30\n\n\n\n org.slf4j\n slf4j-simple\n 1.7.30\n\nor (if you really have to) can redirect all SLF4J into JCL by adding something like this\n\n org.slf4j\n slf4j-jcl\n 1.7.30\n\n\n commons-logging\n commons-logging\n 1.2\n\nI strongly recommend you check https://www.slf4j.org/legacy.html for more detailed information to find out what is best for your project.\nIMPORTANT: This library is single threaded !\nBecause the internal analyzer code is not reentrant the main method has been synchronized on the instance.\nSo from the prespective of you the application developer this library is thread safe.\nIf you are in a multi threaded situation you should create a separate instance per thread or accept the speed limitation of the shared synchronized instance.\nNote that you should really instantiate it only once per thread (and use a ThreadPool or something similar) because starting a new instance takes several seconds.\nEclipse users\nBe aware of there is a bug in Eclipse which will show you errors in perfectly valid Java code:\nhttps://bugs.eclipse.org/bugs/show_bug.cgi?id=527475\nThe errors you see are related to the inheritance model used by the Builders in this project and the fact that Eclipse does not interpret it correctly.\nScala usage\nWhen using this library from a Scala application the way the Builders have been constructed turns out to be very unfriendly to use.\nStarting with Yauaa version 5.14 the rewritten builders (contributed by Robert Stoll)\nwill become available which will make it a lot easier for Scala users to use:\nval uaa = UserAgentAnalyzer.newBuilder\n .withCache(10000)\n .hideMatcherLoadStats\n .withField(\"DeviceClass\")\n .build\nSnapshots\nOccasionally I publish a snapshot version.\nIf you want to use such a version then the repository can be configured in your maven with something like this\n\n \n sonatype-oss-snapshots\n Sonatype OSS Snapshots\n https://oss.sonatype.org/content/repositories/snapshots\n false\n true\n \n\n"},"README-Limitations.html":{"url":"README-Limitations.html","title":"Limitations of the engine","keywords":"","body":"Limitations\nThis system is based on analyzing the useragent string and looking for the patterns in the useragent string as they have been defined by parties like Google, Microsoft, Samsung and many others. These have been augmented with observations how developers apparently do things. There are really no (ok, very limited) lookup tables that define if a certain device name is a Phone or a Tablet. This makes this system very maintainable because there is no need to have a list of all possible devices.\nAs a consequence if a useragent does not follow these patterns the analysis will yield the 'wrong' answer.\nTake for example these two (both were found exactly as shown here in the logs of a live website):\nMozilla/5.0 (Linux; Android 5.1; SAMSUNG-T805s Build/KOT49H) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.94 Mobile Safari/537.36\nMozilla/5.0 (Linux; Android 4.4.2; SAMSUNG-T805S Build/KOT49H) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.89 Safari/537.36\nThe difference between \"Mobile Safari\" and \"Safari\" has been defined for Google Chrome as the difference between \"Phone\" and \"Tablet\" (see https://developer.chrome.com/multidevice/user-agent ).\nAnd as you can see in this example: we sometimes get it wrong.\nThe impact in this case is however very limited: Of the 445 visitors I found using this device only 2 were classified wrong all others were correct.\nA second example is when the Samsung Browser is installed on a non-Samsung device (in this example a Google Nexus 6):\nMozilla/5.0 (Linux; Android 7.0; SAMSUNG Nexus 6 Build/NBD92G) AppleWebKit/537.36 (KHTML, like Gecko) SamsungBrowser/5.4 Chrome/51.0.2704.106 Mobile Safari/537.36\nAs you can see this browser assumes it is only installed on Samsung devices so they 'force' the word Samsung in there.\nIn this case you will see this being reported as a \"Samsung Nexus 6\", which is obviously wrong.\nDevice Name and Device Brand\nThe detection of the brand and name of the device are the most britle and unreliable part of the output.\nThere are a few reasons for this:\n\nThere are a LOT of different devices from a LOT of vendors.\nTo give you an impression; In november 2018 I did a count on the index page of DeviceAtlas and found over 4100 brands and a total of over 55000 different devices.\nIn most cases the useragent string ONLY include the model of the device and NOT the brand. So you need to be able to determine JUST from the model what brand it was.\nThis system tries to limit the number of lookup tables and rely on patterns as much as possible. As a consequence I really do not want to have a complete list of all devices in here. So what are the patterns in the mapping from model to brand?\nI did an analysis on some of these brands and found that Acer, Lenovo, LG and QMobile all have a device called 'A200'.\nSo if the useragent only contains 'A200' there is no way to determine what device it really was.\n\nSo as a consequence I have chosen to limit this detection to\n\nBrands that are included as the first word in the appropriate field.\nSpecial cases (like robots)\nThe \"most used brands\" as good as possible.\n\nWARNING: The detection of DeviceBrand will therefor never be complete and accurate.\n"},"README-MemoryUsage.html":{"url":"README-MemoryUsage.html","title":"Memory usage","keywords":"","body":"Memory usage\nThe system relies heavily on HashMaps to quickly find the rules that need to be fired.\nSome fields only require a handful of rules where others have a lot of them.\nThis means that it depends on the fields that have been requested how many rules are kept in the system and\nthus how much memory is used to store the rules in.\nTo get an idea of the relative memory impact of the rules needed for a specific field.\nThis table was constructed by running all testcases against the engine where we only request 1 field.\nThen after forcing a GC in the JVM we retrieve the memory footprint.\nThe DeviceClass field is always extracted and as such can be seen as the baseline against not having\nthis engine running at all.\nBecause most rules determine several fields there is a lot of overlap in the rules used.\nIf you keep all rules we see that version 5.6 uses about 37 MiB of memory for all rules\non top of the rules for the DeviceClass (which is always extracted).\nExtracting everything will currently have a memory impact (without caching!) of about 114 MiB\n\n\n\nField\nRelative Memory usage\n\n\n\n\nDeviceClass (required)\n90.8 MiB\n\n\nDeviceName\n10.0 MiB\n\n\nDeviceBrand\n9.1 MiB\n\n\nDeviceCpu\n0.7 MiB\n\n\nDeviceCpuBits\n0.5 MiB\n\n\nDeviceFirmwareVersion\n1.1 MiB\n\n\nDeviceVersion\n0.4 MiB\n\n\nOperatingSystemClass\n1.2 MiB\n\n\nOperatingSystemName\n1.3 MiB\n\n\nOperatingSystemVersion\n1.3 MiB\n\n\nOperatingSystemVersionMajor\n1.5 MiB\n\n\nOperatingSystemNameVersion\n2.0 MiB\n\n\nOperatingSystemNameVersionMajor\n2.2 MiB\n\n\nOperatingSystemVersionBuild\n0.4 MiB\n\n\nLayoutEngineClass\n2.8 MiB\n\n\nLayoutEngineName\n2.8 MiB\n\n\nLayoutEngineVersion\n2.8 MiB\n\n\nLayoutEngineVersionMajor\n3.0 MiB\n\n\nLayoutEngineNameVersion\n3.2 MiB\n\n\nLayoutEngineNameVersionMajor\n3.4 MiB\n\n\nLayoutEngineBuild\n0.6 MiB\n\n\nAgentClass\n5.0 MiB\n\n\nAgentName\n5.2 MiB\n\n\nAgentVersion\n5.1 MiB\n\n\nAgentVersionMajor\n5.3 MiB\n\n\nAgentNameVersion\n5.7 MiB\n\n\nAgentNameVersionMajor\n5.8 MiB\n\n\nAgentBuild\n0.5 MiB\n\n\nAgentLanguage\n0.4 MiB\n\n\nAgentLanguageCode\n0.4 MiB\n\n\nAgentInformationEmail\n0.1 MiB\n\n\nAgentInformationUrl\n0.1 MiB\n\n\nAgentSecurity\n0.2 MiB\n\n\nAgentUuid\n0.3 MiB\n\n\nWebviewAppName\n1.0 MiB\n\n\nWebviewAppVersion\n1.0 MiB\n\n\nWebviewAppVersionMajor\n1.0 MiB\n\n\nWebviewAppNameVersionMajor\n1.1 MiB\n\n\nFacebookCarrier\n0.2 MiB\n\n\nFacebookDeviceClass\n0.2 MiB\n\n\nFacebookDeviceName\n0.2 MiB\n\n\nFacebookDeviceVersion\n0.2 MiB\n\n\nFacebookFBOP\n0.2 MiB\n\n\nFacebookFBSS\n0.5 MiB\n\n\nFacebookOperatingSystemName\n0.5 MiB\n\n\nFacebookOperatingSystemVersion\n0.5 MiB\n\n\nAnonymized\n0.1 MiB\n\n\nHackerAttackVector\n0.1 MiB\n\n\nHackerToolkit\n0.1 MiB\n\n\nKoboAffiliate\n0.1 MiB\n\n\nKoboPlatformId\n0.1 MiB\n\n\nIECompatibilityVersion\n0.4 MiB\n\n\nIECompatibilityVersionMajor\n0.4 MiB\n\n\nIECompatibilityNameVersion\n0.4 MiB\n\n\nIECompatibilityNameVersionMajor\n0.4 MiB\n\n\nCarrier\n0.2 MiB\n\n\nGSAInstallationID\n0.1 MiB\n\n\nNetworkType\n0.1 MiB\n\n\n\n"},"README-Performance.html":{"url":"README-Performance.html","title":"Performance","keywords":"","body":"Performance\nOn my i7 system I see a speed ranging from 500 to 4000 useragents per second (depending on the length and ambiguities in the useragent).\nOn average the speed is around 2000 per second or ~0.5ms each.\nA LRU cache is in place that does over 1M per second if they are in the cache.\nPlease note that the current system take approx 220MiB of RAM just for the engine (without any caching!!).\nIn the canonical usecase of analysing clickstream data you will see a \nThe graph below gives you some insight of how the performance of Yauaa has progressed over time.\nYou can clearly see the increase in the time needed when adding a lot more rules.\nAlso the periodic drops in time needed are clearly visible when a performance improvement was found.\nBetween version 5.5 and 5.6 a lot of extra rules to detect more brands of mobile devices on Android (at one point during development the needed time to reached ~ 3ms).\nFollowed by a few steps in a rewrite of that part resulting in effectively the fastest versions to date.\nOutput from the benchmark ( using this code ) on a Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz from version 4.0 onwards:\n\n\n\ngoogle.charts.load('current', {'packages':['corechart']});\ngoogle.charts.setOnLoadCallback(drawChart);\n\n"},"README-Commandline.html":{"url":"README-Commandline.html","title":"Commandline","keywords":"","body":"Commandline tool\nWarning\nThis commandline tool is unfinished and has some problems reading files and such.\nSo at this time: BETA quality.\nGetting the commandline tool\nYou can get the prebuild jar from maven central.\nIf you use a maven based project simply add this dependency\n\n nl.basjes.parse.useragent\n yauaa-commandline\n 5.23\n\n\n\nBuilding\nSimply install the normal build tools for a Java project (i.e. maven and jdk) and then simply do:\nmvn clean package\nExample usage\nGetting commandline help\n$ java -jar yauaa-commandline-*.jar\n\n/------------------------------------------------------------\\\n| Yauaa 2.0-SNAPSHOT (v1.4-63 @ 2017-08-05T07:22:55Z) |\n+------------------------------------------------------------+\n| For more information: https://github.com/nielsbasjes/yauaa |\n| Copyright (C) 2013-2019 Niels Basjes - License Apache 2.0 |\n\\------------------------------------------------------------/\n\nErrors: No input specified.\n\nUsage: java jar \n -bad : Output only cases that have a problem (default: false)\n -cache N : The number of elements that can be cached (LRU). (default:\n 10000)\n -csv : Output in csv format (default: false)\n -debug : Set to enable debugging. (default: false)\n -fields STRING[] : A list of the desired fieldnames (use 'Useragent' if you\n want the input value aswell)\n -fullFlatten : Set to flatten each parsed agent string. (default: false)\n -in VAL : Location of input file\n -json : Output in json format (default: false)\n -matchedFlatten : Set to get the flattened values that were relevant for the\n Matchers. (default: false)\n -ua VAL : A single useragent string\n -yaml : Output in yaml testcase format (default: false)\nYou will get the processing result via stdout and some informational stuff via stderr.\nDoing a single value\nNote that this is relatively slow because the full 2-3 seconds of startup overhead is incurred each time you start this.\nAGENT=\"Mozilla/5.0 (Linux; Android 7.0; Nexus 6 Build/NBD90Z) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.124 Mobile Safari/537.36\"\n\njava -jar yauaa-commandline-*.jar -yaml -ua \"${AGENT}\" > results.yaml\n\njava -jar yauaa-commandline-*.jar -json -ua \"${AGENT}\" > results.json\nDoing a large number of values\nFor streaming a file in it is recommended to use stdin like this\ncat useragents.txt | java -jar yauaa-commandline-*.jar -json -in - > results.json\nRunning in this mode will also show some statistics via stderr.\n/------------------------------------------------------------\\\n| Yauaa 2.0-SNAPSHOT (v1.4-63 @ 2017-08-05T07:22:55Z) |\n+------------------------------------------------------------+\n| For more information: https://github.com/nielsbasjes/yauaa |\n| Copyright (C) 2013-2019 Niels Basjes - License Apache 2.0 |\n\\------------------------------------------------------------/\n\nLoading from: \"classpath*:UserAgents/**/*.yaml\"\nLoaded 56 files\nBuilding all matchers\nBuilding 2314 (dropped 0) matchers from 52 files took 3278 msec resulted in 243070 hashmap entries\nAnalyzer stats\nLookups : 24\nMatchers : 2314 (total:2314 ; dropped: 0)\nHashmap size : 243070\nRanges map size : 5441\nTestcases : 771\nLines = 1000 (Ambiguities: 75 ; SyntaxErrors: 0) Analyze speed = 357/sec.\nLines = 2000 (Ambiguities: 66 ; SyntaxErrors: 0) Analyze speed = 472/sec.\nLines = 3000 (Ambiguities: 60 ; SyntaxErrors: 0) Analyze speed = 838/sec.\nLines = 4000 (Ambiguities: 54 ; SyntaxErrors: 0) Analyze speed = 973/sec.\nLines = 5000 (Ambiguities: 60 ; SyntaxErrors: 1) Analyze speed = 995/sec.\nLines = 6000 (Ambiguities: 55 ; SyntaxErrors: 0) Analyze speed = 1153/sec.\nLines = 7000 (Ambiguities: 56 ; SyntaxErrors: 0) Analyze speed = 1071/sec.\nLines = 8000 (Ambiguities: 70 ; SyntaxErrors: 1) Analyze speed = 1015/sec.\nLines = 9000 (Ambiguities: 70 ; SyntaxErrors: 0) Analyze speed = 1053/sec.\nLines = 10000 (Ambiguities: 74 ; SyntaxErrors: 0) Analyze speed = 1202/sec.\nLines = 11000 (Ambiguities: 42 ; SyntaxErrors: 0) Analyze speed = 1247/sec.\nLines = 12000 (Ambiguities: 68 ; SyntaxErrors: 0) Analyze speed = 1204/sec.\nLines = 13000 (Ambiguities: 37 ; SyntaxErrors: 0) Analyze speed = 1223/sec.\nLines = 14000 (Ambiguities: 66 ; SyntaxErrors: 0) Analyze speed = 1164/sec.\nLines = 15000 (Ambiguities: 43 ; SyntaxErrors: 0) Analyze speed = 1224/sec.\n-------------------------------------------------------------\nPerformance: 15402 in 17 sec --> 897/sec\n-------------------------------------------------------------\nParse results of 15402 lines\nParsed without error: 15400 (= 99.99%)\nParsed with error: 2 (= 0.01%)\nFully matched : 2642 (= 17.15%)\n-------------------------------------------------------------\nParse results of 996935 hits\nParsed without error: 996917 (=100.00%)\nParsed with error: 18 (= 0.00%)\nFully matched : 248862 (= 24.96%)\n-------------------------------------------------------------\n"},"README-WebServlet.html":{"url":"README-WebServlet.html","title":"WebServlet","keywords":"","body":"The demonstration webservlet\nPart of the distribution is a war file that is a servlet that has a webinterface and\nsome APIs that allow you to try things out.\nThis servlet can be downloaded via\n\n nl.basjes.parse.useragent\n yauaa-webapp\n 5.23\n war\n\n\n\nNOTE that this is a DEMONSTRATION servlet!\nIt is simply the library in a servlet, no optimizations or smart memory settings have been done at all.\nDocker\nStarting with version 5.14.1 the webservlet is also published to the central docker registry.\nhttps://hub.docker.com/r/nielsbasjes/yauaa\nSo with docker installed and running on your (Linux) desktop\nyou should be able to so something as simple as\ndocker pull nielsbasjes/yauaa:5.23\ndocker run -p8080:8080 nielsbasjes/yauaa:5.23\n\n\nand then open\nhttp://localhost:8080/\nin your browser to get the output of the servlet.\nCustom rules\nThe servlet supports loading your own custom rules, which can be useful to classify internal monitoring systems.\nIt does this by looking in the folder that start with UserAgents for yaml files (i.e. file:UserAgents*/*.yaml ).\nBased on the docker image this can be easily done with an additional layer where your entire Dockerfile looks like this\nFROM nielsbasjes/yauaa:5.23\nADD InternalTraffic.yaml UserAgents/\n\n\nWhen you build that docker image and run it the logging should contain something like this:\nLoading 1 rule files using expression: file:UserAgents*/*.yaml\n- Preparing InternalTraffic.yaml (9608 bytes)\n- Loaded 1 files in 11 msec using expression: file:UserAgents*/*.yaml\nKubernetes\nI've been playing around with Kubernetes and the code below \"works on my cluster\".\nBasic Service\nFirst create a dedicated namespace and a very basic deployment to run this image 3 times and\nexposes it as a Service that simply does http.\napiVersion: v1\nkind: Namespace\nmetadata:\n name: yauaa\n\n---\n\napiVersion: apps/v1\nkind: Deployment\nmetadata:\n name: yauaa\n namespace: yauaa\nspec:\n selector:\n matchLabels:\n app: yauaa\n replicas: 3\n template:\n metadata:\n labels:\n app: yauaa\n spec:\n containers:\n - name: yauaa\n image: nielsbasjes/yauaa:5.23\n ports:\n - containerPort: 8080\n name: yauaa\n protocol: TCP\n readinessProbe:\n httpGet:\n path: /running\n port: yauaa\n initialDelaySeconds: 2\n periodSeconds: 3\n livenessProbe:\n httpGet:\n path: /running\n port: yauaa\n initialDelaySeconds: 10\n periodSeconds: 10\n\n---\n\napiVersion: v1\nkind: Service\nmetadata:\n name: yauaa\n namespace: yauaa\nspec:\n selector:\n app: yauaa\n ports:\n - name: default\n protocol: TCP\n port: 80\n targetPort: 8080\n type: ClusterIP\n\n\nCustom rules in Kubernetes\nIn some cases you'll have internal systems with custom useragents.\nYou can write your own rules and include them in the deployment.\nFirst define your rules and store them as a configmap in k8s.\nYou can do this by putting the config files in a folder 'foo' and doing something like: kubectl create -n yauaa configmap niels-yauaa-rules --from-file=foo\nOr you can include them directly in the kubectl config file like this:\napiVersion: v1\nkind: ConfigMap\nmetadata:\n name: niels-yauaa-rules\n namespace: yauaa\ndata:\n MyCustomRules.yaml: |\n config:\n - matcher:\n require:\n - 'agent.product.name=\"NielsBasjes\"'\n extract:\n - 'CustomRuleDemonstrationName : 42 :\"A Simple demonstration of a custom rule\"'\n - 'CustomRuleDemonstrationWebsite : 42 :\"https://yauaa.basjes.nl\"'\n - test:\n input:\n user_agent_string: 'NielsBasjes/42 (https://niels.basjes.nl)'\n expected:\n DeviceClass : 'Robot'\n DeviceName : 'Basjes Robot'\n DeviceBrand : 'Basjes'\n OperatingSystemClass : 'Cloud'\n OperatingSystemName : 'Cloud'\n OperatingSystemVersion : '??'\n OperatingSystemVersionMajor : '??'\n OperatingSystemNameVersion : 'Cloud ??'\n OperatingSystemNameVersionMajor : 'Cloud ??'\n LayoutEngineClass : 'Unknown'\n LayoutEngineName : 'Unknown'\n LayoutEngineVersion : '??'\n LayoutEngineVersionMajor : '??'\n LayoutEngineNameVersion : 'Unknown ??'\n LayoutEngineNameVersionMajor : 'Unknown ??'\n AgentClass : 'Special'\n AgentName : 'NielsBasjes'\n AgentVersion : '42'\n AgentVersionMajor : '42'\n AgentNameVersion : 'NielsBasjes 42'\n AgentNameVersionMajor : 'NielsBasjes 42'\n AgentInformationUrl : 'https://niels.basjes.nl'\n CustomRuleDemonstrationName : 'A Simple demonstration of a custom rule'\n CustomRuleDemonstrationWebsite : 'https://yauaa.basjes.nl'\n\n\nThen the deployment must turn this config map into a volume and mount it in the pods.\nNote that the folder under which is is mounted must be a the root level and the name must start with \"UserAgent\".\nSo the deployment becomes something like this\napiVersion: apps/v1\nkind: Deployment\nmetadata:\n name: yauaa\n namespace: yauaa\nspec:\n selector:\n matchLabels:\n app: yauaa\n replicas: 3\n template:\n metadata:\n labels:\n app: yauaa\n spec:\n volumes:\n - name: niels-yauaa-rules-volume\n configMap:\n name: niels-yauaa-rules\n containers:\n - name: yauaa\n image: nielsbasjes/yauaa:5.23\n volumeMounts:\n # NOTE 1: The directory name MUST start with \"/UserAgents\" !!\n # NOTE 2: You can have multiple as long as the mountPaths are all different.\n - name: niels-yauaa-rules-volume\n mountPath: /UserAgents-Niels\n ports:\n - containerPort: 8080\n name: yauaa\n protocol: TCP\n readinessProbe:\n httpGet:\n path: /running\n port: yauaa\n initialDelaySeconds: 2\n periodSeconds: 3\n livenessProbe:\n httpGet:\n path: /running\n port: yauaa\n initialDelaySeconds: 10\n periodSeconds: 10\n\n\n\nAvailable outside the cluster (HTTP)\nDepending on your Kubernetes cluster you may have the option to change\nthe .spec.type of the above Service to LoadBalancer\nor you may choose to expose it via an Ingress.\nI have been able to get it working with the helm chart for stable/nginx-ingress where I have enabled SSL.\nSimply putting up an Ingress works something like this\n\napiVersion: extensions/v1beta1\nkind: Ingress\nmetadata:\n name: yauaa\n namespace: yauaa\n annotations:\n kubernetes.io/ingress.class: nginx\nspec:\n rules:\n - host: yauaa.example.nl\n http:\n paths:\n - backend:\n serviceName: yauaa\n servicePort: 80\n path: /\n\n\nAvailable outside the cluster (HTTPS)\nNow I wanted to use https:// instead of http://.\nBefore you can start this you need the SSL (TLS actually) certificate and key for the hostname you have.\nI created the required secret (in the correct namespace) with a command similar to this (I have letsencrypt):\nshell script\nkubectl -n yauaa create secret tls yauaa-cert --key=/etc/letsencrypt/live/example.nl/privkey.pem --cert=/etc/letsencrypt/live/example.nl/fullchain.pem\nAfter the secret has been put into place the Ingress can be created with SSL.\napiVersion: extensions/v1beta1\nkind: Ingress\nmetadata:\n name: yauaa\n namespace: yauaa\n annotations:\n kubernetes.io/ingress.class: nginx\n nginx.ingress.kubernetes.io/force-ssl-redirect: \"true\"\nspec:\n rules:\n - host: yauaa.example.nl\n http:\n paths:\n - backend:\n serviceName: yauaa\n servicePort: 80\n path: /\n tls:\n - hosts:\n - yauaa.example.nl\n secretName: yauaa-cert\n\n\n"},"UDFs.html":{"url":"UDFs.html","title":"Overview","keywords":"","body":"User Defined Functions\nSeveral external computation systems support the concept of a User Defined Function (UDF).\nA UDF is simply a way of making functionality (in this case the analysis of useragents)\navailable in such a system.\nFor several systems (tools used within\nbol.com (where I work))\nI have written such a UDF which are all part of this project.\n\nLogParser\nApache Beam\nApache Beam SQL\nApache Drill\nApache Flink\nApache Flink (Table/SQL)\nApache Hive\nApache Nifi\nApache Pig\nElastic Logstash\nElastic Search\n\n"},"UDF-LogParser.html":{"url":"UDF-LogParser.html","title":"LogParser","keywords":"","body":"User Defined Function for LogParser\nGetting the UDF\nYou can get the prebuilt UDF from maven central.\nIf you use a maven based project simply add this dependency\n\n nl.basjes.parse.useragent\n yauaa-logparser\n udf\n 5.23\n\n\n\n\nExample usage\n-- Import the UDF jar file so this script can use it\nREGISTER *.jar;\n\n%declare LOGFILE 'access.log'\n%declare LOGFORMAT '%h %l %u %t \"%r\" %>s %b \"%{Referer}i\" \"%{User-Agent}i\"'\n\nOSName =\n LOAD '$LOGFILE'\n USING nl.basjes.pig.input.apachehttpdlog.Loader( '$LOGFORMAT'\n , '-load:nl.basjes.parse.useragent.dissector.UserAgentDissector:'\n , 'STRING:request.user-agent.operating_system_name_version'\n ) AS (\n os_name:chararray\n );\n\nOSNameCount =\n FOREACH OSName\n GENERATE os_name AS os_name:chararray,\n 1L AS clicks:long;\n\nCountsPerOSName =\n GROUeP OSNameCount\n BY (os_name);\n\nSumsPerOSName =\n FOREACH CountsPerOSName\n GENERATE SUM(OSNameCount.clicks) AS clicks,\n group AS useragent;\n\nDUMP SumsPerOSName;\n\n--STORE SumsPerOSName\n-- INTO 'TopUseragents'\n-- USING org.apache.pig.piggybank.storage.CSVExcelStorage(' ','NO_MULTILINE', 'UNIX');\n"},"UDF-ApacheBeam.html":{"url":"UDF-ApacheBeam.html","title":"Apache Beam","keywords":"","body":"User Defined Function for Apache Beam\nGetting the UDF\nYou can get the prebuilt UDF from maven central.\nIf you use a maven based project simply add this dependency to your project.\n\n nl.basjes.parse.useragent\n yauaa-beam\n 5.23\n\n\n\nExample usage\nAssume you have a PCollection with your records.\nIn most cases I see (clickstream data) these records (In this example this class is called \"TestRecord\") contain the useragent string in a field and the parsed results must be added to these fields.\nNow you must do two things:\n\nDetermine the names of the fields you need.\nAdd an instance of the (abstract) UserAgentAnalysisDoFn function and implement the functions as shown in the example below. Use the YauaaField annotation to get the setter for the requested fields.\n\nNote that the name of the two setters is not important, the system looks at the annotation.\n.apply(\"Extract Elements from Useragent\",\n ParDo.of(new UserAgentAnalysisDoFn(15000) { // Setting the cacheSize\n @Override\n public String getUserAgentString(TestRecord record) {\n return record.useragent;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"DeviceClass\")\n public void setDC(TestRecord record, String value) {\n record.deviceClass = value;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"AgentNameVersion\")\n public void setANV(TestRecord record, String value) {\n record.agentNameVersion = value;\n }\n }));\nImmutable instances in Apache Beam\nApache Beam requires a DoFn to never modify the provided instance and to always return a new instance that is then passed to the next processing step.\nTo handle this in a generic way UserAgentAnalysisDoFn has a \"clone\" method that does this by means of doing a round trip through serialization. If you can do a more efficient way for your specific class then please override the clone method.\nNOTES on defining it as an anonymous class\nAn anonymous inner class in Java is by default private.\nIf you define it as an anonymous inner class as shown above then the system will try to make this class to become public by means of the method .setAccessible(true).\nThere are situations in which this will fail (amongst others the SecurityManager can block this). If you run into such a scenario then simply 'not' define it inline as an anonymous class and define it as a named (public) class instead.\nSo the earlier example will look something like this:\npublic class MyUserAgentAnalysisDoFn extends UserAgentAnalysisDoFn {\n @Override\n public String getUserAgentString(TestRecord record) {\n return record.useragent;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"DeviceClass\")\n public void setDC(TestRecord record, String value) {\n record.deviceClass = value;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"AgentNameVersion\")\n public void setANV(TestRecord record, String value) {\n record.agentNameVersion = value;\n }\n}\nand then in the topology simply do this\n.apply(\"Extract Elements from Useragent\",\n ParDo.of(new MyUserAgentAnalysisDoFn()));\n"},"UDF-ApacheBeamSql.html":{"url":"UDF-ApacheBeamSql.html","title":"Apache Beam SQL","keywords":"","body":"User Defined Function for Apache Beam SQL\nSTATUS: ... EXPERIMENTAL ...\nThe Beam SQL function is very new.\nThere are a few limitations related to the underlying Calcite version used in Beam.\nOnly limited testing has been done.\nGetting the UDF\nYou can get the prebuilt UDF from maven central.\nIf you use a maven based project simply add this dependency to your project.\n\n nl.basjes.parse.useragent\n yauaa-beam-sql\n 5.23\n\n\n\nAvailable functions\nAssuming the input\nMozilla\\/5.0 (Linux; Android 7.0; Nexus 6 Build/NBD90Z) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.124 Mobile Safari/537.36\nTo parse this input value into all possible values and returns the complete result as a single JSon string use this:\nParseUserAgentJson(userAgent)\nto give (single line)\n{\"Useragent\":\"Mozilla\\/5.0 (Linux; Android 7.0; Nexus 6 Build\\/NBD90Z) AppleWebKit\\/537.36 (KHTML, like Gecko) Chrome\\/53.0.2785.124 Mobile Safari\\/537.36\",\n\"DeviceClass\":\"Phone\",\"DeviceName\":\"Google Nexus 6\",\"DeviceBrand\":\"Google\",\n\"OperatingSystemClass\":\"Mobile\",\"OperatingSystemName\":\"Android\",\"OperatingSystemVersion\":\"7.0\",\"OperatingSystemVersionMajor\":\"7\",\"OperatingSystemNameVersion\":\"Android 7.0\",\"OperatingSystemNameVersionMajor\":\"Android 7\",\"OperatingSystemVersionBuild\":\"NBD90Z\",\n\"LayoutEngineClass\":\"Browser\",\"LayoutEngineName\":\"Blink\",\"LayoutEngineVersion\":\"53.0\",\"LayoutEngineVersionMajor\":\"53\",\"LayoutEngineNameVersion\":\"Blink 53.0\",\"LayoutEngineNameVersionMajor\":\"Blink 53\",\n\"AgentClass\":\"Browser\",\"AgentName\":\"Chrome\",\"AgentVersion\":\"53.0.2785.124\",\"AgentVersionMajor\":\"53\",\"AgentNameVersion\":\"Chrome 53.0.2785.124\",\"AgentNameVersionMajor\":\"Chrome 53\"}\nTo get a JSon with only specific fields you can do (up to 10 fields van be requested this way)\nParseUserAgentJson(userAgent, 'DeviceClass', 'AgentNameVersion')\nto give\n{\"DeviceClass\":\"Phone\",\"AgentNameVersion\":\"Chrome 53.0.2785.124\"}\nTo get a single value from the parse result use this one:\nParseUserAgentField(userAgent, 'DeviceClass')\nto give\nPhone\nExample usage\nAssume you have a PCollection with your records.\nPCollection input = ...\nYou can then put that through an SQL statement to transform it.\nYou have to name the input (in this example we call it InputStream),\nand you have to register the UDF classes you want to use with the name you want to have in your SQL statement.\nPCollection result =\n // This way we give a name to the input stream for use in the SQL\n PCollectionTuple.of(\"InputStream\", input)\n // Apply the SQL with the UDFs we need.\n .apply(\"Execute SQL\", SqlTransform\n .query(\"SELECT\" +\n \" userAgent AS userAgent, \" +\n \" ParseUserAgentJson(userAgent) AS parsedUserAgentJson, \" +\n \" ParseUserAgentField(userAgent, 'DeviceClass') AS deviceClass, \" +\n \" ParseUserAgentField(userAgent, 'AgentNameVersion') AS agentNameVersion \" +\n \"FROM InputStream\")\n .registerUdf(\"ParseUserAgentJson\", ParseUserAgentJson.class)\n .registerUdf(\"ParseUserAgentField\", ParseUserAgentField.class)\n );\nLimitations / Future\nSimply returning a Map of all keys and values is not yet possible because Apache Beam uses an older version of Calcite.\n\nhttps://issues.apache.org/jira/browse/BEAM-9267\nhttps://issues.apache.org/jira/browse/BEAM-9379\nhttps://github.com/apache/beam/pull/12962\n\nThe ParseUserAgentJson has a limitation of at most 10 fieldnames because Calcite does not yet support variable arguments for UDFs.\n\nhttps://issues.apache.org/jira/browse/CALCITE-2772\n\n"},"UDF-ApacheDrill.html":{"url":"UDF-ApacheDrill.html","title":"Apache Drill","keywords":"","body":"User Defined Function for Apache Drill\nIntroduction\nThis is an Apache Drill UDF for parsing User Agent Strings.\nThis function was originally created by Charles S. Givre and was imported into\nthe main Yauaa project to ensure users would have a prebuilt and up to date version available.\nSTATUS: ... Works on my machine ...\nI have copied/implemented the functions\nparse_user_agent ( )\nparse_user_agent_field ( , )\nAble to do basic unit test during build for the parse_user_agent_field function.\nNOT yet able to do automated testing for the parse_user_agent function.\nWhen I run it in a local drill the things I try work for the most (see below).\nI have not yet tested this in a distributed setup.\nSo please try it out and report any issues and/or improvements you see.\nGetting the UDF\nYou can get the prebuilt UDF from maven central.\nIf you use a maven based project simply add this dependency to your project.\n\n nl.basjes.parse.useragent\n yauaa-drill\n 5.23\n\n\n\nInstallation\nTo install this function put the jar file in the /jars/3rdparty directory.\ncp yauaa-drill-.jar /jars/3rdparty\nMake sure you replace with your actual path to your drill installation.\nNOTE: You do not need the yauaa-drill--sources.jar to run in drill.\nUsage and examples\nWorking queries with a direct value\nSELECT parse_user_agent_field('Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.82 Safari/537.36', 'AgentNameVersion') from (values(1));\n\n+----------------------+\n| EXPR$0 |\n+----------------------+\n| Chrome 48.0.2564.82 |\n+----------------------+\nThis one doesn't work\nSELECT parse_user_agent('Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.82 Safari/537.36') from (values(1));\n\nError: PLAN ERROR: Failure while materializing expression in constant expression evaluator [PARSE_USER_AGENT('Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.82 Safari/537.36')]. Errors:\nError in expression at index -1. Error: Only ProjectRecordBatch could have complex writer function. You are using complex writer function parse_user_agent in a non-project operation!. Full expression: --UNKNOWN EXPRESSION--.\nAssume the file /tmp/testcase.tsv which contains 2 lines:\nMozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.82 Safari/537.36\nMozilla/5.0 (iPhone; CPU iPhone OS 8_3 like Mac OS X) AppleWebKit/600.1.4 (KHTML, like Gecko) Version/8.0 Mobile/12F70 Safari/600.1.4 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)\nWorking queries using the input file\nSELECT parse_user_agent_field(columns[0], 'AgentNameVersion') AS AgentNameVersion from dfs.`/tmp/testcase.tsv`;\n\n+----------------------+\n| AgentNameVersion |\n+----------------------+\n| Chrome 48.0.2564.82 |\n| Googlebot 2.1 |\n+----------------------+\nand\nSELECT parse_user_agent(columns[0]) AS AgentNameVersion from dfs.`/tmp/testcase.tsv`;\n\n+------------------+\n| AgentNameVersion |\n+------------------+\n| {\n \"DeviceClass\": \"Desktop\",\n \"DeviceName\": \"Linux Desktop\",\n \"DeviceBrand\": \"Unknown\",\n \"DeviceCpu\": \"Intel x86_64\",\n \"DeviceCpuBits\": \"64\",\n \"OperatingSystemClass\": \"Desktop\",\n \"OperatingSystemName\": \"Linux\",\n \"OperatingSystemVersion\": \"Intel x86_64\",\n \"OperatingSystemNameVersion\": \"Linux Intel x86_64\",\n \"LayoutEngineClass\": \"Browser\",\n \"LayoutEngineName\": \"Blink\",\n \"LayoutEngineVersion\": \"48.0\",\n \"LayoutEngineVersionMajor\": \"48\",\n \"LayoutEngineNameVersion\": \"Blink 48.0\",\n \"LayoutEngineNameVersionMajor\": \"Blink 48\",\n \"AgentClass\": \"Browser\",\n \"AgentName\": \"Chrome\",\n \"AgentVersion\": \"48.0.2564.82\",\n \"AgentVersionMajor\": \"48\",\n \"AgentNameVersion\": \"Chrome 48.0.2564.82\",\n \"AgentNameVersionMajor\": \"Chrome 48\" } |\n| {\n \"DeviceClass\": \"Robot Mobile\",\n \"DeviceName\": \"Google\",\n \"DeviceBrand\": \"Google\",\n \"OperatingSystemClass\": \"Cloud\",\n \"OperatingSystemName\": \"Google\",\n \"OperatingSystemVersion\": \"Google\",\n \"OperatingSystemNameVersion\": \"Google\",\n \"LayoutEngineClass\": \"Robot\",\n \"LayoutEngineName\": \"Googlebot\",\n \"LayoutEngineVersion\": \"Googlebot\",\n \"LayoutEngineVersionMajor\": \"Googlebot\",\n \"LayoutEngineNameVersion\": \"Googlebot\",\n \"LayoutEngineNameVersionMajor\": \"Googlebot\",\n \"AgentClass\": \"Robot Mobile\",\n \"AgentName\": \"Googlebot\",\n \"AgentVersion\": \"2.1\",\n \"AgentVersionMajor\": \"2\",\n \"AgentNameVersion\": \"Googlebot 2.1\",\n \"AgentNameVersionMajor\": \"Googlebot 2\",\n \"AgentInformationUrl\": \"http://www.google.com/bot.html\" } |\n+------------------+\nThe function returns a Drill map, so you can access any of the fields using Drill's table.map.key notation.\nFor example, the query below illustrates how to extract a field from this map and summarize it:\nSELECT uadata.ua.AgentNameVersion AS Browser,\nCOUNT( * ) AS BrowserCount\nFROM (\n SELECT parse_user_agent( columns[0] ) AS ua\n FROM dfs.`/tmp/testcase.tsv`\n) AS uadata\nGROUP BY uadata.ua.AgentNameVersion\nORDER BY BrowserCount DESC;\n\n+----------------------+---------------+\n| Browser | BrowserCount |\n+----------------------+---------------+\n| Chrome 48.0.2564.82 | 1 |\n| Googlebot 2.1 | 1 |\n+----------------------+---------------+\n"},"UDF-ApacheFlink.html":{"url":"UDF-ApacheFlink.html","title":"Apache Flink","keywords":"","body":"User Defined Function for Apache Flink\nGetting the UDF\nYou can get the prebuilt UDF from maven central.\nIf you use a maven based project simply add this dependency to your project.\n\n nl.basjes.parse.useragent\n yauaa-flink\n 5.23\n\n\n\nExample usage\nAssume you have a DataSet or DataStream with your records.\nIn most cases I see (clickstream data) these records (In this example this class is called \"TestRecord\") contain the useragent string in a field and the parsed results must be added to these fields.\nNow you must do two things:\n\nDetermine the names of the fields you need.\nAdd an instance of the (abstract) UserAgentAnalysisMapper mapper and implement the functions as shown in the example below. Use the Field annotation to get the setter for the requested fields.\n\nNote that the name of the two setters is not important, the system looks at the annotation.\n.map(new UserAgentAnalysisMapper(15000) { // Setting the cacheSize\n @Override\n public String getUserAgentString(TestRecord record) {\n return record.useragent;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"DeviceClass\")\n public void setDC(TestRecord record, String value) {\n record.deviceClass = value;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"AgentNameVersion\")\n public void setANV(TestRecord record, String value) {\n record.agentNameVersion = value;\n }\n})\nNOTES on defining it as an anonymous class\nAn anonymous inner class in Java is by default private.\nIf you define it as an anonymous inner class as shown above then the system will try to make this class to become public by means of the method .setAccessible(true).\nThere are situations in which this will fail (amongst others the SecurityManager can block this). If you run into such a scenario then simply 'not' define it inline as an anonymous class and define it as a named (public) class instead.\nSo the earlier example will look something like this:\npublic class MyUserAgentAnalysisMapper extends UserAgentAnalysisMapper {\n @Override\n public String getUserAgentString(TestRecord record) {\n return record.useragent;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"DeviceClass\")\n public void setDC(TestRecord record, String value) {\n record.deviceClass = value;\n }\n\n @SuppressWarnings(\"unused\") // Called via the annotation\n @YauaaField(\"AgentNameVersion\")\n public void setANV(TestRecord record, String value) {\n record.agentNameVersion = value;\n }\n}\nand then in the topology simply do this\n.map(new MyUserAgentAnalysisMapper())\n"},"UDF-ApacheFlinkTable.html":{"url":"UDF-ApacheFlinkTable.html","title":"Apache Flink (Table/SQL)","keywords":"","body":"User Defined Function for Apache Flink Table\nGetting the UDF\nYou can get the prebuilt UDF from maven central.\nIf you use a maven based project simply add this dependency to your project.\n\n nl.basjes.parse.useragent\n yauaa-flink-table\n 5.23\n\n\n\n\nIMPORTANT: Breaking API change\nIn version 5.15 this function was rewritten and as a consequence the API has changed.\nThe function now returns a Map with all the requested values in one go.\nSyntax\nAssume you register this function under the name ParseUserAgent\nThen the generic usage in your SQL is\nParseUserAgent()\n\nThis returns a Map with all the requested values in one go.\nExample usage (Java)\nAssume you have a either a BatchTableEnvironment or a StreamTableEnvironment in which you have defined your records as a table.\nIn most cases I see (clickstream data) these records contain the useragent string in a column.\n// Give the stream a Table Name\ntableEnv.registerDataStream(\"AgentStream\", inputStream, \"timestamp, url, useragent\");\nNow you must do four things:\n\nDetermine the names of the fields you need.\nRegister the function with the full list of all the fields you want under the name you want.\nUse the function in your SQL to do the parsing and extract the fields from that.\nRun the query\n\n// Register the function with all the desired fieldnames and optionally the size of the cache\ntableEnv.registerFunction(\"ParseUserAgent\", new AnalyzeUseragentFunction(15000, \"DeviceClass\", \"AgentNameVersionMajor\"));\n\n// Define the query.\nString sqlQuery =\n \"SELECT useragent,\"+\n \" ParseUserAgent(useragent) as parsedUseragent\" +\n \"FROM AgentStream\";\n\nTable resultTable = tableEnv.sqlQuery(sqlQuery);\n\n// A String and the Map with all results\nTypeInformation tupleType = new RowTypeInfo(STRING, MAP(STRING, STRING));\nDataStream resultSet = tableEnv.toAppendStream(resultTable, tupleType);\nor something like this\n// Register the function with all the desired fieldnames and optionally the size of the cache\ntableEnv.registerFunction(\"ParseUserAgent\", new AnalyzeUseragentFunction(15000, \"DeviceClass\", \"AgentNameVersionMajor\"));\n\n// Define the query.\nString sqlQuery =\n \"SELECT useragent,\"+\n \" parsedUseragent['DeviceClass'] AS deviceClass,\" +\n \" parsedUseragent['AgentNameVersionMajor'] AS agentNameVersionMajor \" +\n \"FROM ( \" +\n \" SELECT useragent,\" +\n \" ParseUserAgent(useragent) AS parsedUseragent\" +\n \" FROM AgentStream \" +\n \")\";\n\nTable resultTable = tableEnv.sqlQuery(sqlQuery);\n\n// 3 Strings\nTypeInformation tupleType = new RowTypeInfo(STRING, STRING, STRING);\nDataStream resultSet = tableEnv.toAppendStream(resultTable, tupleType);\n"},"UDF-ApacheHive.html":{"url":"UDF-ApacheHive.html","title":"Apache Hive","keywords":"","body":"User Defined Function for Apache Hive\nGetting the UDF\nYou can get the prebuilt UDF from maven central (yauaa-hive-5.23-udf.jar).\nNOTE: You MUST use the -udf.jar: yauaa-hive-5.23-udf.jar\nIf you use a maven based project simply add this dependency\n\n nl.basjes.parse.useragent\n yauaa-hive\n udf\n 5.23\n\n\n\nBuilding\nSimply install the normal build tools for a Java project (i.e. maven and jdk) and then simply do:\nmvn clean package\nExample usage\nFirst the jar file must be 'known'\nEither by doing\nADD JAR hdfs:///yauaa-hive-5.23-udf.jar\n\nor by defining it as a permanent function\nCREATE FUNCTION ParseUserAgent\nAS 'nl.basjes.parse.useragent.hive.ParseUserAgent'\nUSING JAR 'hdfs:///yauaa-hive-5.23-udf.jar';\n\n\nIf you are using a recent version of Hive you can also do\nCREATE FUNCTION ParseUserAgent\nAS 'nl.basjes.parse.useragent.hive.ParseUserAgent'\nUSING JAR 'ivy://nl.basjes.parse.useragent:yauaa-hive:5.23?classifier=udf';\n\n\nor installing it locally with the Hive Server\nTODO: Document installation\nVerify if it has been installed\nDESCRIBE FUNCTION ParseUserAgent;\n\n+-----------------------------------------------------------------------+\n| tab_name |\n+-----------------------------------------------------------------------+\n| ParseUserAgent(str) - Parses the UserAgent into all possible pieces. |\n+-----------------------------------------------------------------------+\n\n\n> DESCRIBE FUNCTION EXTENDED ParseUserAgent;\n+---------------------------------------------------------------------------+\n| tab_name |\n+---------------------------------------------------------------------------+\n| parseuseragent(str) - Parses the UserAgent into all possible pieces. |\n| Synonyms: default.parseuseragent |\n| Example: |\n| > SELECT ParseUserAgent(useragent).DeviceClass, |\n| ParseUserAgent(useragent).OperatingsystemNameVersion, |\n| ParseUserAgent(useragent).AgentNameVersionMajor |\n| FROM clickLogs; |\n| +---------------+-----------------------------+------------------------+ |\n| | deviceclass | operatingsystemnameversion | agentnameversionmajor | |\n| +---------------+-----------------------------+------------------------+ |\n| | Phone | Android 6.0 | Chrome 46 | |\n| | Tablet | Android 5.1 | Chrome 40 | |\n| | Desktop | Linux Intel x86_64 | Chrome 59 | |\n| | Game Console | Windows 10.0 | Edge 13 | |\n| +---------------+-----------------------------+------------------------+ |\n| |\n+---------------------------------------------------------------------------+\nBasic test it works (trimmed the output here)\n> SELECT ParseUserAgent('Mozil la/5.0 (Linux\\; Android 6.0\\; Nexus 6 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.76 Mobile Safari/537.36');\n+----------------------------------------------------+\n| _c0 |\n+----------------------------------------------------+\n| { \"deviceclass\":\"Phone\",\n \"devicename\":\"Google Nexus 6\",\n \"devicebrand\":\"Google\",\n ...\n \"operatingsystemnameversion\":\"Android 6.0\",\n ...\n \"layoutenginenameversion\":\"Blink 46.0\",\n ...\n \"agentclass\":\"Browser\",\n ...\n \"agentnameversion\":\"Chrome 46.0.2490.76\",\n ...\n } |\n+----------------------------------------------------+\n1 row selected (5.682 seconds)\nUsage example:\nCREATE TABLE useragents (useragent STRING COMMENT 'The useragent string');\n\nINSERT INTO TABLE useragents VALUES ('Mozilla/5.0 (Linux\\; Android 6.0\\; Nexus 6 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.76 Mobile Safari/537.36');\nINSERT INTO TABLE useragents VALUES ('Mozilla/5.0 (Linux\\; Android 5.1\\; Nexus 10 Build/LMY47D) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.109 Safari/537.36');\nINSERT INTO TABLE useragents VALUES ('Mozilla/5.0 (X11\\; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36');\nINSERT INTO TABLE useragents VALUES ('Mozilla/5.0 (Windows NT 10.0\\; Win64\\; x64\\; Xbox\\; Xbox One) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2486.0 Safari/537.36 Edge/13.10553');\nSELECT ParseUserAgent(useragent).DeviceClass, ParseUserAgent(useragent).OperatingsystemNameVersion, ParseUserAgent(useragent).AgentName, ParseUserAgent(useragent).AgentNameVersionMajor from useragents;\n+---------------+-----------------------------+------------+------------------------+\n| deviceclass | operatingsystemnameversion | agentname | agentnameversionmajor |\n+---------------+-----------------------------+------------+------------------------+\n| Phone | Android 6.0 | Chrome | Chrome 46 |\n| Tablet | Android 5.1 | Chrome | Chrome 40 |\n| Desktop | Linux Intel x86_64 | Chrome | Chrome 59 |\n| Game Console | Windows 10.0 | Edge | Edge 13 |\n+---------------+-----------------------------+------------+------------------------+\n"},"UDF-ApacheNifi.html":{"url":"UDF-ApacheNifi.html","title":"Apache Nifi","keywords":"","body":"User Defined Function for Apache Nifi\nIntroduction\nThis is an Apache Nifi Processor for parsing User Agent Strings.\nGetting the Processor\nYou can get the prebuilt NAR file from maven central.\nIf you use a maven based project simply add this dependency\n\n nl.basjes.parse.useragent\n yauaa-nifi\n nar\n 5.23\n\n\n\nInstallation\nTo install this function put the nar file in the /lib directory.\ncp ./udfs/nifi/nifi-nar/target/yauaa-nifi-.nar /lib\nMake sure you replace with your actual path to your nifi installation.\nAfter you have added this nar file you will find the ParseUserAgent processor in the list.\n\nUsage and examples\n\nFirst you make sure that the FLowFile going into this processor has the attribute \"UseragentString\" that contains the string to be analyzed.\n\nIn the configuration enable the fields you need for analysis. By default none have been selected.\n\n\nThe output FlowFile will now have additional attributes for all of the selected attributes that are named\nUseragent.SelectedField.\nKey: 'Useragent.DeviceClass'\n Value: 'Phone'\nKey: 'Useragent.OperatingSystemNameVersion'\n Value: 'Android 4.1.2'\n\n\n"},"UDF-ApachePig.html":{"url":"UDF-ApachePig.html","title":"Apache Pig","keywords":"","body":"User Defined Function for Apache Pig\nGetting the UDF\nYou can get the prebuilt UDF from maven central.\nIf you use a maven based project simply add this dependency\n\n nl.basjes.parse.useragent\n yauaa-pig\n udf\n 5.23\n\n\n\nExample usage\n-- Import the UDF jar file so this script can use it\nREGISTER ../target/*-udf.jar;\n\n------------------------------------------------------------------------\n-- Define a more readable name for the UDF and pass optional parameters\n-- First parameter is ALWAYS the cache size (as a text string!)\n-- The parameters after that are the requested fields.\n----------\n-- If you simply want 'everything'\n-- DEFINE ParseUserAgent nl.basjes.parse.useragent.pig.ParseUserAgent;\n----------\n-- If you just want to set the cache\n-- DEFINE ParseUserAgent nl.basjes.parse.useragent.pig.ParseUserAgent('10000');\n----------\n-- If you want to set the cache and only retrieve the specified fields\nDEFINE ParseUserAgent nl.basjes.parse.useragent.pig.ParseUserAgent('10000', 'DeviceClass', 'DeviceBrand' );\n\nrawData =\n LOAD 'testcases.txt'\n USING PigStorage()\n AS ( useragent: chararray );\n\nUaData =\n FOREACH rawData\n GENERATE useragent,\n -- Do NOT specify a type for this field as the UDF provides the definitions\n ParseUserAgent(useragent) AS parsedAgent;\n"},"UDF-Logstash.html":{"url":"UDF-Logstash.html","title":"Elastic Logstash","keywords":"","body":"User Defined Function (Filter plugin) for Elastic Logstash\nSTATUS: ... EXPERIMENTAL ...\nThe logstash UDF java api is still experimental.\nSee for more information:\n\nhttps://github.com/logstash-plugins/logstash-filter-java_filter_example\nhttps://github.com/elastic/logstash/issues/9215\n\nGetting the UDF\nYou can get the prebuilt filter from the github releases page.\nBuilding has side effects !\nBecause at this time none of the required dependencies are in maven central this build does something rarely seen:\nIt downloads the entire logstash distribution, extracts the logstash-core.jar and installs it locally for maven\nto use as dependency.\nSo your local maven repo will get a jar injected that is not normally available via Maven central or something similar.\nSee these for more details:\n\nhttps://github.com/nielsbasjes/yauaa/issues/146\nhttps://github.com/elastic/logstash/issues/11002\n\nInstalling the filter\nYou only need to install it into your logstash once per installation\nlogstash-plugin remove logstash-filter-yauaa\nlogstash-plugin install ./udfs/logstash/target/logstash-filter-yauaa-5.23.gem\n\nExample usage\nYou need to specify\n\nThe source field\nFor each Yauaa field you need the logstash field in which it needs to be placed.\n\nfilter {\n yauaa {\n source => \"message\"\n fields => {\n DeviceClass => \"DevCls\"\n AgentNameVersion => \"AgntNmVrsn\"\n }\n }\n}\nWhen running this example I get output like this that has the new fields \"DevCls\" and \"AgntNmVrsn\":\n{\n \"@timestamp\" => 2019-02-13T10:42:57.491Z,\n \"message\" => \"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.82 Safari/537.36\",\n \"@version\" => \"1\",\n \"host\" => \"niels-laptop\",\n \"AgntNmVrsn\" => \"Chrome 48.0.2564.82\",\n \"DevCls\" => \"Desktop\",\n \"path\" => \"/tmp/useragent.txt\"\n}\n"},"UDF-ElasticSearch.html":{"url":"UDF-ElasticSearch.html","title":"Elastic Search","keywords":"","body":"User Defined Function (ingest processor) for Elastic Search\nSTATUS: ... EXPERIMENTAL ...\nThe ElasticSearch ingest plugin is very new.\nAnd yes it is similar to https://www.elastic.co/guide/en/elasticsearch/reference/master/user-agent-processor.html\nGetting the UDF\nYou can get the prebuilt ingest plugin from maven central.\nInstalling the plugin\nYou only need to install it into your elasticsearch once\nbin/elasticsearch-plugin install file:///path/to/yauaa-elasticsearch-5.23.zip\n\nUsage\nThis plugin is intended to be used in an ingest pipeline.\nYou have to specify the name of the input field and the place where\nthe possible configuration flags are:\n\n\n\nName\nMandatory/Optional\nDescription\nDefault\nExample\n\n\n\n\nfield\nM\nThe name of the input field that contains the UserAgent string\n-\n\"useragent\"\n\n\ntarget_field\nM\nThe name of the output structure that will be filled with the parse results\n\"user_agent\"\n\"parsed_ua\"\n\n\nfieldNames\nO\nA list of Yauaa fieldnames that are desired. When specified the system will limit processing to what is needed to get these. This means faster and less memory used.\nAll possible fields\n[ \"DeviceClass\", \"DeviceBrand\", \"DeviceName\", \"AgentNameVersionMajor\" ]\n\n\ncacheSize\nO\nThe number of entries in the LRU cache of the parser\n10000\n100\n\n\npreheat\nO\nHow many testcases are put through the parser at startup to warmup the JVM\n0\n1000\n\n\nextraRules\nO\nA yaml expression that is a set of extra rules and testcases.\n-\n\"config:\\n- matcher:\\n extract:\\n - '\"'\"'FirstProductName : 1 :agent.(1)product.(1)name'\"'\"'\\n\"\n\n\n\nExample usage\nBasic pipeline\nCreate a pipeline that just extracts everything using the default settings:\ncurl -H 'Content-Type: application/json' -X PUT 'localhost:9200/_ingest/pipeline/yauaa-test-pipeline_basic' -d '\n{\n \"description\": \"A pipeline to do whatever\",\n \"processors\": [\n {\n \"yauaa\" : {\n \"field\" : \"useragent\",\n \"target_field\" : \"parsed\"\n }\n }\n ]\n}\n'\nCommon pipeline\nIn this example a pipeline is created that only gets the fields that are actually desired.\ncurl -H 'Content-Type: application/json' -X PUT 'localhost:9200/_ingest/pipeline/yauaa-test-pipeline_some' -d '\n{\n \"description\": \"A pipeline to do whatever\",\n \"processors\": [\n {\n \"yauaa\" : {\n \"field\" : \"useragent\",\n \"target_field\" : \"parsed\",\n \"fieldNames\" : [ \"DeviceClass\", \"DeviceBrand\", \"DeviceName\", \"AgentNameVersionMajor\", \"FirstProductName\" ],\n }\n }\n ]\n}\n'\nAdvanced pipeline\nIn this example a pipeline is created that includes an example of a custom rule.\nThe hardest part is making the yaml (with quotes, newlines and the needed indentation) encode correctly inside a JSon structure.\ncurl -H 'Content-Type: application/json' -X PUT 'localhost:9200/_ingest/pipeline/yauaa-test-pipeline_full' -d '\n{\n \"description\": \"A pipeline to do whatever\",\n \"processors\": [\n {\n \"yauaa\" : {\n \"field\" : \"useragent\",\n \"target_field\" : \"parsed\",\n \"fieldNames\" : [ \"DeviceClass\", \"DeviceBrand\", \"DeviceName\", \"AgentNameVersionMajor\", \"FirstProductName\" ],\n \"cacheSize\" : 10,\n \"preheat\" : 10,\n \"extraRules\" : \"config:\\n- matcher:\\n extract:\\n - '\"'\"'FirstProductName : 1 :agent.(1)product.(1)name'\"'\"'\\n\"\n }\n }\n ]\n}\n'\nPut record\nI put a record in ElasticSearch using the above mentioned Advanced pipeline\ncurl -H 'Content-Type: application/json' -X PUT 'localhost:9200/my-index/my-type/1?pipeline=yauaa-test-pipeline_full' -d '\n{\n \"useragent\" : \"Mozilla/5.0 (Linux; Android 7.0; Nexus 6 Build/NBD90Z) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.124 Mobile Safari/537.36\"\n}\n'\nwhich returns\n{\"_index\":\"my-index\",\"_type\":\"my-type\",\"_id\":\"1\",\"_version\":1,\"result\":\"created\",\"_shards\":{\"total\":2,\"successful\":1,\"failed\":0},\"_seq_no\":0,\"_primary_term\":1}\nthen I retrieve the record from elasticsearch and the additional parse results are now part of the indexed record.\ncurl -s -H 'Content-Type: application/json' -X GET 'localhost:9200/my-index/my-type/1' | python -m json.tool\nresults in\n{\n \"_id\": \"1\",\n \"_index\": \"my-index\",\n \"_primary_term\": 1,\n \"_seq_no\": 0,\n \"_source\": {\n \"parsed\": {\n \"AgentName\": \"Chrome\",\n \"AgentNameVersionMajor\": \"Chrome 53\",\n \"AgentVersion\": \"53.0.2785.124\",\n \"AgentVersionMajor\": \"53\",\n \"DeviceBrand\": \"Google\",\n \"DeviceClass\": \"Phone\",\n \"DeviceName\": \"Google Nexus 6\",\n \"FirstProductName\": \"Mozilla\"\n },\n \"useragent\": \"Mozilla/5.0 (Linux; Android 7.0; Nexus 6 Build/NBD90Z) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.124 Mobile Safari/537.36\"\n },\n \"_type\": \"my-type\",\n \"_version\": 1,\n \"found\": true\n}\nNOTES for developers\nThe ElasticSearch testing tools are quick to complain about jar classloading issues: \"jar hell\".\nTo make it possible to test this in IntelliJ you'll need to set a custom property\n1) Help --> Edit Custom properties\n2) Make sure there is a line with idea.no.launcher=true\n3) Restart IntelliJ\nSee also https://stackoverflow.com/questions/51045201/using-the-elasticsearch-test-framework-in-intellij-how-to-resolve-the-jar-hell/51045272\n"},"Internals-BaseDesign.html":{"url":"Internals-BaseDesign.html","title":"Base design idea","keywords":"","body":"Parsing Useragents\nParsing useragents is considered by many to be a ridiculously hard problem.\nThe main problems are:\n\nAlthough there seems to be a specification, many do not follow it.\nUseragents LIE that they are their competing predecessor with an extra flag.\n\nThe pattern the 'normal' browser builders are following is that they all LIE about the ancestor they are trying to improve upon.\nThe reason this system (historically) works is because a lot of website builders do a very simple check to see if they can use a specific feature.\nif (useragent.contains(\"Chrome\")) {\n // Use the chrome feature we need.\n}\nSome may improve on this an actually check the (major) version that follows.\nA good example of this is the Edge browser:\nMozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.135 Safari/537.36 Edge/12.10136\nIt says it:\n\nis Mozilla/5.0\nuses AppleWebKit/537.36\nfor \"compatibility\" the AppleWebKit lie about being \"KHTML\" and that it is similar to \"Gecko\" are also copied\nis Chrome 42\nis Safari 537\nis Edge 12\n\nSo any website looking for the word it triggers upon will find it and enable the right features.\nIn 2014 an RFC for HTTP was released (RFC 7231 section 5.5.3) which now explitly states:\n... implementations are encouraged not to use the product\ntokens of other implementations in order to declare compatibility\nwith them, as this circumvents the purpose of the field.\n... encouraged ...\nHow many other analyzers work\nWhen looking at most implementations of analysing the useragents I see that most implementations are based around\nlists of regular expressions.\nThese are (in the systems I have seen) executed in a specific order to find the first one that matches.\nIn this solution direction the order in which things occur determines if the patterns match or not.\nRegular expressions are notoriously hard to write and debug and (unless you make them really complex) the order in which parts of the pattern occur is fixed.\nCore design idea\nI wanted to see if a completely different approach would work: Can we actually parse these things into a tree and work from there.\nThe parser (ANTLR4 based) will be able to parse a lot of the agents but not all.\nTests have shown that it will parse >99% of all useragents on a large website which is more than 99.99% of the traffic.\nNow the ones that it is not able to parse are the ones that have been set manually to a invalid value.\nSo if that happens we assume you are a hacker.\nIn all other cases we have matchers that are triggered if a specific value is found by the parser.\nSuch a matcher then tells this class is has found a match for a certain attribute with a certain confidence level (0-10000).\nIn the end the matcher that has found a match with the highest confidence for a value 'wins'.\nHigh level implementation overview\nThe main concept of this useragent parser is that we have two things:\n\nA Parser (ANTLR4) that converts the useragent into a nice tree through which we can walk along.\nA collection of matchers.\nA matcher triggers if a set of patterns is present in the tree.\nEach pattern is detected by a \"matcher action\" that triggers and can fill a single attribute.\nIf a matcher triggers a set of attributes get set with a value and a confidence level\nAll results from all triggered matchers (and actions) are combined and for each individual attribute the 'highest value' wins.\n\n\n\nAs a performance optimization we walk along the parsed tree once and fire everything we find into a precomputed hashmap that\npoints to all the applicable matcher actions. As a consequence\n\nthe matching is relatively fast even though the number of matchers already runs into the few hundreds.\nthe startup is \"slow\"\nthe memory footprint is pretty big due to the number of matchers, the size of the hashmap and the cache of the parsed useragents.\n\nA much more in depth explanation can be found in the documentation on how to create new rules\n"},"Internals-MakingNewRules.html":{"url":"Internals-MakingNewRules.html","title":"Making new rules","keywords":"","body":"Detecting new useragent patterns\nWhen you find a useragent for which one or more of the fields are wrong there is the need to change the patterns and rules\nthat are used by this system for classifying these attributes.\nIn order to write rules this first described how the system works and what tools have been created to make writing new rules easier.\nBase problem: They all lie\nWhen looking at useragents it is clear that almost all of them include the name of predecessors/competitors\nwith which they are supposed to be compatible with.\nSo in general there is a ranking in the patterns; some are more true than others.\nSolution overview\nThe way this system solves all of this is by employing several steps:\n\nThe user agent string is parsed into a tree using Antlr4.\nThis tree is matched against a set of \"Matchers\"\nA matcher is\na set of patterns that must be present in the tree\na set of field/value combinations with a 'weight'\nthe value can be either a fixed value or a part of the tree.\n\n\nFor all matchers where ALL required patterns were present the\nfield/value/weight results are all combined. For fields where\nmultiple values were present the value with the highest weight 'wins'\n\nAll matchers are with tests placed in yaml files in the UserAgents directory.\nBecause of the system with the weights the order of the matchers is not\nchecked or guaranteed in any way. So if the two matchers may set the same\nfield to a different value then better make sure they have different weights.\nThe anatomy of a matcher\nA matcher consists of 3 parts\nrequire\nextract\noptions\nThe \"require\" part holds the patterns that must all result in a non-null value. The IsNull operator is intended to check that a specific value actually IS null.\nThe \"extract\" part is to send either a fixed string or an extracted pattern into a field with a certain numerical confidence.\nThere are a few possible option flags:\ninit This means the init output for this matcher must be shown. This is the same effect when running it without any extract values\nverbose This means that a LOT of debug output will be shown in the output.\nonly This means that ONLY this test must be run. No others.\nOnly IFF all require AND all extract patterns yielded a non-null value then will all of the extracted values be added to the end result.\nIn general a field will receive a value from multiple matchers; the value with the highest confidence value will be in the output.\nThe overall structure is this:\nconfig:\n- lookup:\n name: 'lookupname'\n map:\n \"From1\" : \"To1\"\n \"From2\" : \"To2\"\n \"From3\" : \"To3\"\n\n- set:\n name: 'setname'\n merge:\n - 'nameOtherSet'\n - 'nameOtherLookup'\n values:\n - 'foo'\n - 'bar'\n\n- matcher:\n options:\n - 'verbose'\n variable:\n - 'VariableName : Extract pattern'\n - 'VariableName : Extract pattern'\n require:\n - 'Require pattern'\n - 'Require pattern'\n extract:\n - 'FieldName : Confidence : Extract pattern'\n - 'FieldName : Confidence : Extract pattern'\n\n- test:\n options:\n - 'verbose'\n - 'init'\n input:\n user_agent_string: 'Useragent'\n expected:\n FieldName : 'ExpectedValue'\n FieldName : 'ExpectedValue'\n FieldName : 'ExpectedValue'\nA require pattern must simply yield a non-null value.\nThe IsNull operator only makes sense in the context of a require as with this you can check that a pattern may not exist.\nFor example to do checks like \"The last product in the list must be named foo\" you can write this\n- matcher:\n require:\n - 'IsNull[agent.product.name=\"foo\"^>]'\nAn extract pattern is either a fixed string \"foo\" or a path expression as explained later in this document.\nWhere the rules are located\nUnder the main resources there is a folder called UserAgents .\nIn the folder a collection of yaml files are located.\nEach of those files contains matchers, lookups, tests or any combination of them\nin any order. This means that in many cases you'll find a relevant test case close\nto the rules.\nUseragent parse tree model\nAccording to RFC-2616 a useragent consists of set of products. Each with an (optional) version and an (optional) comment block.\nhttps://www.w3.org/Protocols/rfc2616/rfc2616-sec3.html#sec3.8\nhttps://www.w3.org/Protocols/rfc2616/rfc2616-sec14.html#sec14.43\nAfter much analysis the model that this parser uses it as follows:\nThe whole string (the 'agent') is mostly cut into 'product' and 'text' parts.\nEach child node in the tree is numbered (1,2,3,...) within the context of the parent.\nA product has zero or more 'version' fields and zero or more 'comments' fields.\nEach comments' has one or more 'entry':\nIn a comment block like this 'foo/1.0 (one; two three; four)' we will have 3 entries (they are ; separated).\nFrom there the system recurses down within limitations.\nFlattened form of the tree\nIf we take this useragent as an example the tree is flattened into a set of 'breadcrumb' type paths.\nI put some spaces in various places so you can see what happens with those (in most places they are trimmed):\nfoo/1.0 ( one ; two three; four ) bar/2.0 (five;six seven)\nwill result in these paths (with their textual value)\nagent=\"foo/1.0 ( one ; two three; four ) bar/2.0 (five;six seven)\"\nagent.(1)product=\"foo/1.0 ( one ; two three; four )\"\nagent.(1)product[1-1]=\"foo\"\nagent.(1)product[1-2]=\"foo/1\"\nagent.(1)product[2-2]=\"1\"\nagent.(1)product[1-3]=\"foo/1.0\"\nagent.(1)product[3-3]=\"0\"\nagent.(1)product.(1)name=\"foo\"\nagent.(1)product.(1)name[1-1]=\"foo\"\nagent.(1)product.(1)version=\"1.0\"\nagent.(1)product.(1)version[1-1]=\"1\"\nagent.(1)product.(1)version[1-2]=\"1.0\"\nagent.(1)product.(1)version[2-2]=\"0\"\nagent.(1)product.(1)comments=\"( one ; two three; four )\"\nagent.(1)product.(1)comments.(1)entry=\"one\"\nagent.(1)product.(1)comments.(1)entry[1-1]=\"one\"\nagent.(1)product.(1)comments.(1)entry.(1)text=\"one\"\nagent.(1)product.(1)comments.(1)entry.(1)text[1-1]=\"one\"\nagent.(1)product.(1)comments.(2)entry=\"two three\"\nagent.(1)product.(1)comments.(2)entry[1-1]=\"two\"\nagent.(1)product.(1)comments.(2)entry[1-2]=\"two three\"\nagent.(1)product.(1)comments.(2)entry[2-2]=\"three\"\nagent.(1)product.(1)comments.(2)entry.(1)text=\"two three\"\nagent.(1)product.(1)comments.(2)entry.(1)text[1-1]=\"two\"\nagent.(1)product.(1)comments.(2)entry.(1)text[1-2]=\"two three\"\nagent.(1)product.(1)comments.(2)entry.(1)text[2-2]=\"three\"\nagent.(1)product.(1)comments.(3)entry=\"four\"\nagent.(1)product.(1)comments.(3)entry[1-1]=\"four\"\nagent.(1)product.(1)comments.(3)entry.(1)text=\"four\"\nagent.(1)product.(1)comments.(3)entry.(1)text[1-1]=\"four\"\nagent.(2)product=\"bar/2.0 (five;six seven)\"\nagent.(2)product[1-1]=\"bar\"\nagent.(2)product[1-2]=\"bar/2\"\nagent.(2)product[2-2]=\"2\"\nagent.(2)product[1-3]=\"bar/2.0\"\nagent.(2)product[3-3]=\"0\"\nagent.(2)product.(1)name=\"bar\"\nagent.(2)product.(1)name[1-1]=\"bar\"\nagent.(2)product.(1)version=\"2.0\"\nagent.(2)product.(1)version[1-1]=\"2\"\nagent.(2)product.(1)version[1-2]=\"2.0\"\nagent.(2)product.(1)version[2-2]=\"0\"\nagent.(2)product.(1)comments=\"(five;six seven)\"\nagent.(2)product.(1)comments.(1)entry=\"five\"\nagent.(2)product.(1)comments.(1)entry[1-1]=\"five\"\nagent.(2)product.(1)comments.(1)entry.(1)text=\"five\"\nagent.(2)product.(1)comments.(1)entry.(1)text[1-1]=\"five\"\nagent.(2)product.(1)comments.(2)entry=\"six seven\"\nagent.(2)product.(1)comments.(2)entry[1-1]=\"six\"\nagent.(2)product.(1)comments.(2)entry[1-2]=\"six seven\"\nagent.(2)product.(1)comments.(2)entry[2-2]=\"seven\"\nagent.(2)product.(1)comments.(2)entry.(1)text=\"six seven\"\nagent.(2)product.(1)comments.(2)entry.(1)text[1-1]=\"six\"\nagent.(2)product.(1)comments.(2)entry.(1)text[1-2]=\"six seven\"\nagent.(2)product.(1)comments.(2)entry.(1)text[2-2]=\"seven\"\nAs you can see there are a few special operators that allow comparing and extracting specific words.\nWalking around the tree\nIn many cases we want to get the version of the product with a specific name.\nThis means we should look to the product with that name and from there go 'up' to the product and from there select the 'version'.\nFor this purpose a special language has been created that allows walking through a tree from the point where a match was found and do additional\ncompare and string manipulation actions to obtain the value we are looking for.\nThis language also supports lookups (hashmaps) that do a case INsensitive lookup.\nNote that for finding a matching pattern the system will recurse through the parse tree from left to right.\nThe FIRST matching pattern is used for the end result.\nFor demonstrating the operators I'm using this user agent to explain the effects:\nfoo faa/1.0 2.3 (one; two three four) bar baz/2.0 3.0 (five; six seven)\nAvailable operators:\nWalking around the tree\n\n\n\nOperation\nSymbol\nExample\nResult value (if applicable)\n\n\n\n\nUp to parent\n^\nagent.(1)product.name^\nagent.(1)product\n\n\nNext Sibling\n>\nagent.(1)product>\nagent.(2)product\n\n\nPrevious Sibling\n\nagent.(2)product\nagent.(1)product\n\n\nDown to child\n.name\nagent.(1)product.version\n\n\n\nDown to specific child\n.(2)version\nagent.(1)product.(2)version\n\n\n\nDown to specific child range\n.(2-3)version\nagent.(1)product.(2-3)version\n\n\n\nDown to specific child range\n.(2-)version\nagent.(1)product.(2-)version\n\n\n\nDown to specific child range\n.(-5)version\nagent.(1)product.(-5)version\n\n\n\n\nComparing values in the tree\n\n\n\nOperation\nSymbol\nExample\nResult value (if applicable)\nExplain\n\n\n\n\nEquals\n=\nagent.(1)product.version=\"2.3\"\nagent.(1)product.(2)version\nThe second version is \"2.3\"\n\n\nNot equals\n!=\nagent.(1)product.version!=\"1.0\"\nagent.(1)product.(2)version\nThe second version is the first one when backtracking that is not \"1.0\"\n\n\nContains\n~\nagent.product.name~\"ar\"\nagent.(2)product.(1)name=\"bar baz\"\nThe first product name when backtracking that contains \"ar\"\n\n\nStarts with\n{\nagent.product.name{\"b\"\nagent.(2)product.(1)name=\"bar baz\"\nThe first product name when backtracking that starts with \"b\"\n\n\nEnds with\n}\nagent.product.name}\"z\"\nagent.(2)product.(1)name=\"bar baz\"\nThe first product name when backtracking that ends with \"z\"\n\n\n(Key)set contains\n?\nagent.product.name?mySetOfValues\nagent.(3)product.(1)name\nThe name of the third product was present in the defined set of values. This set may be a \"set\" or a \"lookup\" in the last case only the keys of this lookup will be evaluated\n\n\n(Key)set does NOT contain\n?!\nagent.product.name?!mySetOfValues\nagent.(3)product.(1)name\nThe name of the third product was NOT present in the defined set of values. This set may be a \"set\" or a \"lookup\" in the last case only the keys of this lookup will be evaluated\n\n\n\nExtracting substrings\nNote this fact agent.(1)product.(1)comments.(2)entry.(1)text=\"one two three four five\"\n\n\n\nOperation\nSymbol\nExample\nValue\n\n\n\n\nFirst N Words\n[-N]\nagent.(1)product.(1)comments.(2)entry.(1)text[-3]\none two three\n\n\nSingle Word at position N\n[N]\nagent.(1)product.(1)comments.(2)entry.(1)text[3]\nthree\n\n\nA range of words N-M\n[N-M]\nagent.(1)product.(1)comments.(2)entry.(1)text[2-4]\ntwo three four\n\n\nAll words to the end starting at N\n[N-]\nagent.(1)product.(1)comments.(2)entry.(1)text[3-]\nthree four five\n\n\nBack to full value\n@\nagent.(1)product.(1)comments.(2)entry.(1)text[2]=\"three\" agent.(1)product.(1)comments.(2)entry.(1)text[2]=\"three\"@\nthree one two three four five\n\n\n\nSpecial operations\n\n\n\nOperation\nSymbol\nExample\nResult value (if applicable)\n\n\n\n\nCheck if the expresssion resulted in a null 'no match' value.\nIsNull[expression]\nIsNull[agent.(1)product.(3)name]\ntrue\n\n\nReturn the result or the provided default value in case the expression was a null 'no match' value.\nDefaultIfNull[expression;defaultvalue]\nDefaultIfNull[agent.(1)product.(3)name;\"Something\"]\n\n\nCleanup the version from an _ separated to a . separated string\nCleanVersion[expression]\nCleanVersion[\"1_2_3\"]\n1.2.3\n\n\nReplace every occurrence of a String with another String (fixed text and case sensitive!)\nReplaceString[expression;search;replace]\nReplaceString[\"onefoofootwo\";\"foo\";\"bar\"]\nonebarbartwo\n\n\nLookUp the value against a lookup table\nLookUp[lookupname;expression]\nLookUp[OSNames;agent.product.entry.text]\n\n\nLookUp the value against a lookup table (with fallback in case no match)\nLookUp[lookupname;expression;defaultvalue]\nLookUp[OSNames;agent.product.entry.text;\"Unknown\"]\n\n\nLookUp the value against a lookup table and return the original value if a matching prefix is present.\nIsInLookUp[lookupname;expression]\nIsInLookUp[OSNames;agent.product.entry.text]\n\n\nLookUp the lookupname in the lookup table that the value contains\nLookUpContains[lookupname;expression]\nLookUpContains[OSNames;agent.product.entry.text]\n\n\nLookUp the lookupname in the lookup table that the value contains (with fallback in case no match)\nLookUpContains[lookupname;expression;defaultvalue]\nLookUpContains[OSNames;agent.product.entry.text;\"Unknown\"]\n\n\nLookUp the lookupname in the lookup table that the value contains and return the original value if a matching prefix is present.\nIsInLookUpContains[lookupname;expression]\nIsInLookUpContains[OSNames;agent.product.entry.text]\n\n\nLookUp the value against a lookup table and return the value where the key is the longest matching prefix of the value.\nLookUpPrefix[lookupname;expression]\nLookUpPrefix[OSNames;agent.product.entry.text]\n\n\nLookUp the value against a lookup table and return the value where the key is the longest matching prefix of the value (with fallback in case no match).\nLookUpPrefix[lookupname;expression;defaultvalue]\nLookUpPrefix[OSNames;agent.product.entry.text;\"Unknown\"]\n\n\nLookUp the value against a lookup table and return the value if there is NO matching prefix of the key.\nLookUpIsNotInPrefix[lookupname;expression]\nLookUpIsNotInPrefix[OSNames;agent.product.entry.text]\n\n\nLookUp the value against a lookup table and return the original value if a matching prefix is present.\nIsInLookUpPrefix[lookupname;expression]\nIsInLookUpPrefix[OSNames;agent.product.entry.text]\n\n\nPut a fixed string before an expression\nConcat[value;expression]\nConcat[\"Something\";agent.product.entry.text]\n\n\nPut a fixed string after an expression\nConcat[expression;value]\nConcat[agent.product.entry.text;\"Something\"]\n\n\nSurround the expression with both a prefix and a postfix\nConcat[value;expression;value]\nConcat[\"Something\";agent.product.entry.text;\"Something\"]\n\n\n\nChaining operators\nAn extensive example of walking around to get the right value.\nfoo faa/1.0/2.3 (one; two three four) bar baz/2.0/3.0 (five; six seven)\n\n\n\nExpression\nCurrent path\nValue\n\n\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"\nagent.(2)product.(1)comments.(2)entry.(1)text[2]\nseven\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^\nagent.(2)product.(1)comments.(2)entry\nsix seven\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^\nagent.(2)product.(1)comments\n(five; six seven)\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(2)product\nbar baz/2.0/3.0 (five; six seven)\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product\nfoo faa/1.0/2.3 (one; two three four)\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product.(1)name\nfoo faa\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product.(1)name\nfoo faa\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product\nfoo faa/1.0/2.3 (one; two three four)\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product.(1)comments\n(one; two three four)\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product.(1)comments.(1)entry\none\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product.(1)comments.(2)entry[2]\nthree\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product.(1)comments.(2)entry\ntwo three four\n\n\nagent.product.(1)comments.entry.(1)text[2]=\"seven\"^^^\nagent.(1)product.(1)comments.(2)entry[1]\ntwo\n\n\n\nNote that the first possible match is returned.\nIf a child sibling or check fails the backtracking continues until the entire parse tree has been examined.\nI created a test that shows all of the debug output of this example: unit test and yaml file\nThis can also be run from the commandline using:\nmvn -Dtest=DocumentationExample -DfailIfNoTests=false test\nCreating a new rule\nAssume we got this useragent\nMozilla/5.0 (compatible; Foo/3.1; Bar)\nand let's just assume we want to set a field called MinorFooVersion if\nthe minor version of Foo is 1\nTo start we put the agent as a new test in one of the yaml files.\nIf we choose to create a new file make sure is starts with \"config:\"\n- test:\n input:\n user_agent_string: 'Mozilla/5.0 (compatible; Foo/3.1; Bar)'\nNow we run the unit test \"TestPredefinedBrowsers\".\nOn a normal computer this will take only about 1-5 seconds.\nThe output contains all the field values for this useragent in the exact form of a unit test.\nSo once you are happy with the result you can simply copy and past this into the yaml file.\nIn this case is looks something like this:\n- test:\n# options:\n# - 'verbose'\n# - 'init'\n# - 'only'\n input:\n user_agent_string: 'Mozilla/5.0 (compatible; Foo/3.1; Bar)'\n expected:\n DeviceClass : 'Unknown'\n DeviceName : 'Unknown'\n OperatingSystemClass : 'Unknown'\n OperatingSystemName : 'Unknown'\n OperatingSystemVersion : '??'\n LayoutEngineClass : 'Browser'\n LayoutEngineName : 'Mozilla'\n LayoutEngineVersion : '5.0'\n LayoutEngineVersionMajor : '5'\n LayoutEngineNameVersion : 'Mozilla 5.0'\n LayoutEngineNameVersionMajor : 'Mozilla 5'\n AgentClass : 'Browser'\n AgentName : 'Foo'\n AgentVersion : '3.1'\n AgentVersionMajor : '3'\n AgentNameVersion : 'Foo 3.1'\n AgentNameVersionMajor : 'Foo 3'\nThe output also contains all hard checked paths in the tree in the rough form\nof a matcher.\n- matcher:\n# options:\n# - 'verbose'\n require:\n# - '__SyntaxError__=\"false\"'\n# - 'agent=\"Mozilla/5.0 (compatible; Foo/3.1; Bar)\"'\n# - 'agent.(1)product=\"Mozilla/5.0 (compatible; Foo/3.1; Bar)\"'\n# - 'agent.(1)product[1-1]=\"Mozilla\"'\n# - 'agent.(1)product[1-2]=\"Mozilla/5\"'\n# - 'agent.(1)product[2-2]=\"5\"'\n# - 'agent.(1)product[1-3]=\"Mozilla/5.0\"'\n# - 'agent.(1)product[3-3]=\"0\"'\n# - 'agent.(1)product.(1)name=\"Mozilla\"'\n# - 'agent.(1)product.(1)name[1-1]=\"Mozilla\"'\n# - 'agent.(1)product.(1)version=\"5.0\"'\n# - 'agent.(1)product.(1)version[1-1]=\"5\"'\n# - 'agent.(1)product.(1)version[1-2]=\"5.0\"'\n# - 'agent.(1)product.(1)version[2-2]=\"0\"'\n# - 'agent.(1)product.(1)comments=\"(compatible; Foo/3.1; Bar)\"'\n# - 'agent.(1)product.(1)comments.(1)entry=\"compatible\"'\n# - 'agent.(1)product.(1)comments.(1)entry[1-1]=\"compatible\"'\n# - 'agent.(1)product.(1)comments.(1)entry.(1)text=\"compatible\"'\n# - 'agent.(1)product.(1)comments.(1)entry.(1)text[1-1]=\"compatible\"'\n# - 'agent.(1)product.(1)comments.(2)entry=\"Foo/3.1\"'\n# - 'agent.(1)product.(1)comments.(2)entry[1-1]=\"Foo\"'\n# - 'agent.(1)product.(1)comments.(2)entry[1-2]=\"Foo/3\"'\n# - 'agent.(1)product.(1)comments.(2)entry[2-2]=\"3\"'\n# - 'agent.(1)product.(1)comments.(2)entry[1-3]=\"Foo/3.1\"'\n# - 'agent.(1)product.(1)comments.(2)entry[3-3]=\"1\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product=\"Foo/3.1\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product[1-1]=\"Foo\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product[1-2]=\"Foo/3\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product[2-2]=\"3\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product[1-3]=\"Foo/3.1\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product[3-3]=\"1\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product.(1)name=\"Foo\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product.(1)name[1-1]=\"Foo\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product.(1)version=\"3.1\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product.(1)version[1-1]=\"3\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product.(1)version[1-2]=\"3.1\"'\n# - 'agent.(1)product.(1)comments.(2)entry.(1)product.(1)version[2-2]=\"1\"'\n# - 'agent.(1)product.(1)comments.(3)entry=\"Bar\"'\n# - 'agent.(1)product.(1)comments.(3)entry[1-1]=\"Bar\"'\n# - 'agent.(1)product.(1)comments.(3)entry.(1)text=\"Bar\"'\n# - 'agent.(1)product.(1)comments.(3)entry.(1)text[1-1]=\"Bar\"'\n extract:\n# - 'DeviceClass : 1:'\n# - 'DeviceBrand : 1:'\n# - 'DeviceName : 1:'\n# - 'OperatingSystemClass : 1:'\n# - 'OperatingSystemName : 1:'\n# - 'OperatingSystemVersion: 1:'\n# - 'LayoutEngineClass : 1:'\n# - 'LayoutEngineName : 1:'\n# - 'LayoutEngineVersion : 1:'\n# - 'AgentClass : 1:'\n# - 'AgentName : 1:'\n# - 'AgentVersion : 1:'\nIn our case we are only interested in the second digit of the version of the product named \"Foo\"\nSo we copy this and make it like this:\n- matcher:\n extract:\n - 'MinorFooVersion : 1:agent.(1)product.(1)comments.entry.(1)product.(1)name=\"Foo\"^.version[2]'\nWhat this does is that in the first product, in the first set of comments there is at any position an entry\nthat contains as the first element a product who's name is \"Foo\" that we go up in the tree and then down\nto the version of that product and then take the second word.\nNow if we run the unit test again we will see this:\n- test:\n# options:\n# - 'verbose'\n# - 'init'\n# - 'only'\n input:\n user_agent_string: 'Mozilla/5.0 (compatible; Foo/3.1; Bar)'\n expected:\n DeviceClass : 'Unknown'\n DeviceName : 'Unknown'\n OperatingSystemClass : 'Unknown'\n OperatingSystemName : 'Unknown'\n OperatingSystemVersion : '??'\n LayoutEngineClass : 'Browser'\n LayoutEngineName : 'Mozilla'\n LayoutEngineVersion : '5.0'\n LayoutEngineVersionMajor : '5'\n LayoutEngineNameVersion : 'Mozilla 5.0'\n LayoutEngineNameVersionMajor : 'Mozilla 5'\n AgentClass : 'Browser'\n AgentName : 'Foo'\n AgentVersion : '3.1'\n AgentVersionMajor : '3'\n AgentNameVersion : 'Foo 3.1'\n AgentNameVersionMajor : 'Foo 3'\n MinorFooVersion : '1'\nAs you can see this clearly shows that a new field has been added with the value we wanted.\nIf you want to change or add more rules then simply iterate over the steps until you have the\nend result you think is good.\nThen simply copy the end 'test' into the yaml file and save.\nIf you are detecting a new field or a new value for an existing field\nthen be aware that this may also apply to tests that are already present\nin the system. For all tests to pass these must be updated also.\nYou can choose to use this in a more \"Test Driven Development\" model also.\nSimply run the unit test, copy the 'raw testcase' into the yaml file and\nedit the values to what they should be and work from there.\nIf you run it this way your will get a 'failed test' which yields a bit\nof extra output.\nFor the sake of demo if I simply put this testcase in the yaml file\n- test:\n input:\n user_agent_string: 'Mozilla/5.0 (compatible; Foo/3.1; Bar)'\n expected:\n AgentClass : 'Browser'\n AgentName : 'Foo'\n AgentVersion : '3.1'\n AgentVersionMajor : '3'\n AgentNameVersion : 'Foo 3.1'\n AgentNameVersionMajor : 'Foo 3'\n MinorFooVersion : '1'\nThis would also show as test output:\nINFO UserAgentAnalyzerTester:320 - +--------+------------------------------+-------------+------------+------------+\nINFO UserAgentAnalyzerTester:337 - | Result | Field | Actual | Confidence | Expected |\nINFO UserAgentAnalyzerTester:339 - +--------+------------------------------+-------------+------------+------------+\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | DeviceClass | Unknown | -1 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | DeviceName | Unknown | -1 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | OperatingSystemClass | Unknown | -1 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | OperatingSystemName | Unknown | -1 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | OperatingSystemVersion | ?? | -1 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | LayoutEngineClass | Browser | 3 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | LayoutEngineName | Mozilla | 3 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | LayoutEngineVersion | 5.0 | 3 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | LayoutEngineVersionMajor | 5 | 3 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | LayoutEngineNameVersion | Mozilla 5.0 | 3 | > |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | LayoutEngineNameVersionMajor | Mozilla 5 | 3 | > |\nINFO UserAgentAnalyzerTester:371 - | | AgentClass | Browser | 10 | |\nINFO UserAgentAnalyzerTester:371 - | | AgentName | Foo | 10 | |\nINFO UserAgentAnalyzerTester:371 - | | AgentVersion | 3.1 | 10 | |\nINFO UserAgentAnalyzerTester:371 - | | AgentVersionMajor | 3 | 10 | |\nINFO UserAgentAnalyzerTester:371 - | | AgentNameVersion | Foo 3.1 | 10 | |\nINFO UserAgentAnalyzerTester:371 - | | AgentNameVersionMajor | Foo 3 | 10 | |\nERROR UserAgentAnalyzerTester:381 - | -FAIL- | MinorFooVersion | >> | 0 | 1 |\nINFO UserAgentAnalyzerTester:386 - +--------+------------------------------+-------------+------------+------------+\nAs you can see the system will fail on missing fields, unexpected fields and wrong values.\nIf you create rules that in one of the test cases produce for the same field different values with the same confidence\nthen the test will fail with messages like this:\n - ***********************************************************\n - *** REALLY IMPORTANT ERRORS IN THE RULESET ***\n - *** YOU MUST CHANGE THE CONFIDENCE LEVELS OF YOUR RULES ***\n - ***********************************************************\n - Found different value for \"OperatingSystemName\" with SAME confidence 10: \"RIM OS\" and \"BlackBerry\"\n - Found different value for \"OperatingSystemName\" with SAME confidence 10: \"RIM OS\" and \"BlackBerry\"\n - Found different value for \"OperatingSystemName\" with SAME confidence 10: \"RIM OS\" and \"BlackBerry\"\n - Found different value for \"OperatingSystemVersion\" with SAME confidence 10: \"RIM OS\" and \"??\"\n - Found different value for \"OperatingSystemVersion\" with SAME confidence 10: \"RIM OS\" and \"??\"\n - Found different value for \"OperatingSystemVersion\" with SAME confidence 10: \"RIM OS\" and \"??\"\nNote that these do not need to be the 'winning' value.\nThe existence of the ambiguity is enough to fail.\nWiping values\nIn some cases a previously defined value needs to be erased with a higher confidence.\nTo achieve this simply set the value to >>\nIn addition there is a way to set all variables to a certain value by setting the special value __Set_ALL_Fields__\nBecause the ordering is defined by the confidence numbers you must make sure the confidence of the new values are\nat least 1 higher than the confidence of the __Set_ALL_Fields__.\nBoth of these can be combined into\nextract:\n - '__Set_ALL_Fields__ : 99:\">>\"'\nNote that ALL fields with a confidence below 99 will be wiped. So the field values you set in this matcher\nmust all be 1 higher than this or it will wipe itself too.\nPerformance considerations\nNote that in order to optimize the performance the paths that lead directly to a point in the tree are placed in a\nhashmap for very fast lookup.\nOnly if all 'direct paths' in a matcher are found only then the walking of those rules is attempted.\nSo one of the rules looks like this\n- matcher:\n require:\n - 'agent.product.(1)name=\"Chrome\"'\n - 'LookUp[ChromeLayoutEngineName;agent.product.(1)name=\"Chrome\"^.version[1]]'\n - 'agent.product.(1)name=\"AppleWebKit\"^.version[1]=\"537\"'\n - 'agent.product.(1)version[1]=\"537\"' # This is a matching speedup trick\n extract:\n - 'LayoutEngineClass : 1000:\"Browser\"'\n - 'LayoutEngineName : 1000:\"AppleWebKit\"'\n - 'LayoutEngineVersion : 1000:agent.product.(1)name=\"AppleWebKit\"^.version'\nThe agent.product.(1)version[1]=\"537\" is found immediately while walking through the parsed tree.\nSo if this one is not present then the other check \"Is the version of AppleWebKit equals to 537\"\nand the lookup are not even attempted. These kinds of tricks will speedup parsing.\nVariables\nThere is the option of predefining a value which is then usable by all rules in a matcher.\nA variable is simply a named point in the tree that is found only once and the reused as-is by the other rules within the same matcher.\nA variable is also always in essence a 'require', it must be present for the matcher as a whole to continue.\nYou can only reference a variable by name in a later variable. This is because they are evaluated in the order\nin which they appear in the definition in the file.\nThe variable name follows a similar pattern as variable names in languages like Java: [a-zA-Z][a-zA-Z0-9]+\nWhen referencing a variable (by means of @name) in an expression you must see it as a point in the tree that happens to have a name.\nThis looks like this:\n- matcher:\n variable:\n - 'Chrome : agent.product.(1)name=\"Chrome\"'\n - 'AppleWebKitVersion : agent.product.(1)name=\"AppleWebKit\"^.version'\n require:\n - 'LookUp[ChromeLayoutEngineName;@Chrome^.version[1]]'\n - '@AppleWebKitVersion[1]=\"537\"'\n - 'agent.product.(1)version[1]=\"537\"' # This is a matching speedup trick\n extract:\n - 'LayoutEngineClass : 1000:\"Browser\"'\n - 'LayoutEngineName : 1000:\"AppleWebKit\"'\n - 'LayoutEngineVersion : 1000:@AppleWebKitVersion'\nNote that the backtracking stops when the variable finds its first match.\nSo when defined like this:\nextract:\n- 'Something: 1: agent.product.(1)name=\"AppleWebKit\"^.version'\nit may find after backtracking that the 5th product matches\nagent.(5)product.(1)version\nYet when defined like this\nvariable:\n- 'productname: agent.product.(1)name'\nextract:\n- 'Something: 1: @productname=\"AppleWebKit\"^.version'\nit will stay at the first product and never find the 5th product at all.\n"},"NOTES-shading-dependencies.html":{"url":"NOTES-shading-dependencies.html","title":"Shading Java dependencies","keywords":"","body":"Introduction\nThis is a summary of the reasons WHY I have done the shading in this project the way it is now.\nIf someone has suggestions/hint on how this can be done better I'm really curious what the 'right' way of doing this is.\nThe base structure of this project is we have a module with the functionality and a set of 'UDFs'\nthat wrap this functionality so that it can be used in external processing frameworks (like Pig, Flink, Hive, etc.)\nBase goal\nThis library and the UDFs should be easy to use for all downstream users that want to use this in their projects.\nProblem 1: Problematic dependencies\nSome of the dependencies (Antlr4, Spring and SnakeYaml) have proven to be problematic\nfor downstream users who need different versions of these in the same application.\nSolution 1: Shade and relocate\nSo for only these we include and relocate the used classes into the main jar.\nIn the pom.xml\n\n org.apache.maven.plugins\n maven-shade-plugin\n\n \n true\n true\n \n \n org.springframework\n nl.basjes.shaded.org.springframework\n \n \n org.antlr\n nl.basjes.shaded.org.antlr\n \n \n org.yaml.snakeyaml\n nl.basjes.shaded.org.yaml.snakeyaml\n \n \n \n\n \n \n inject-problematic-dependencies\n package\n \n shade\n \n \n \n \n org.antlr:antlr4-runtime\n org.springframework:spring-core\n org.yaml:snakeyaml\n \n \n \n \n\n \n\nProblem 2: Transitive dependencies\nTurns out that a shaded jar still contains the original pom.xml that references the shaded dependencies.\nAs a consequence the downstream users (like the udfs in this project) still include the entire set of\ndependencies (not used by the code) in addition to the shaded versions (used by the code).\nThis is a known problem in the Maven shade plugin: https://issues.apache.org/jira/browse/MSHADE-36\nFor which I've put up a pull request: https://github.com/apache/maven-shade-plugin/pull/25\nSolution 2: Inject the dependency-reduced-pom.xml into the final jar\nThis way building an external project no longer includes things like Antlr a second time.\nScript: inject-dependency-reduced-pom-into-jar.sh:\n#!/bin/bash\ngroupId=$1\nartifactId=$2\nversion=$3\n\nDIR=META-INF/maven/${groupId}/${artifactId}\nmkdir -p target/${DIR}\ncp dependency-reduced-pom.xml target/${DIR}/pom.xml\njar -uf target/${artifactId}-${version}.jar -C target ${DIR}/pom.xml\nand in the pom.xml:\n\n org.codehaus.mojo\n exec-maven-plugin\n 1.6.0\n \n \n Inject dependency-reduced-pom.xml to the final jar file\n package\n \n exec\n \n \n ./inject-dependency-reduced-pom-into-jar.sh\n \n ${project.groupId}\n ${project.artifactId}\n ${project.version}\n \n \n \n \n\nProblem 3: The other modules look at the original pom.xml\nSo after solution 2 it is all fine for external projects using the created jar file because they look at\nthe pom.xml in that jar file.\nThe remaining problem is that any other module in this (multi module) project will look at the original pom.xml\ninstead of the cleaned one in the jar file.\nAs a consequence the Hive UDF jar file contains\n$ unzip -l udfs/hive/target/yauaa-hive-5.12-SNAPSHOT-udf.jar | fgrep org/springframework/core/io/ResourceLoader.class\n 494 2019-08-23 12:26 nl/basjes/shaded/org/springframework/core/io/ResourceLoader.class\n 487 2019-02-13 05:32 org/springframework/core/io/ResourceLoader.class\nI filed a bug report/ missing feature for this in the Maven shade plugin: https://issues.apache.org/jira/browse/MSHADE-326\nFor which I've put up a pull request: https://github.com/apache/maven-shade-plugin/pull/26\nSolution 3: Manually exclude them\nSo we exclude these 4 shaded dependencies in all modules in this project so they are no longer included double in the final jars.\nProblem 4: No such classfile ...\nWhich gives rise to a new problem: When building/developing these modules the code will complain about missing dependencies.\nThe dependencies have been shaded, relocated and excluded ... which means that any code looking for the 'orginal'\nclass name will find it to be missing.\nSolution 4: Include as 'provided'\nThe final step I had to take was to include these 4 dependencies again as 'provided' in all modules in this project.\nAdditional notes\n\nImmediately setting these dependencies to 'provided' causes them not to be included by the shade plugin.\nUsing the optional setting on the dependency caused \"missing classes\" errors in IntelliJ\n\n"},"Building.html":{"url":"Building.html","title":"Building","keywords":"","body":"Building\nSimply install the normal build tools for a Java project (i.e. maven and jdk 8+) and then simply do:\nmvn clean package\n"},"RelatedProjects.html":{"url":"RelatedProjects.html","title":"Related projects","keywords":"","body":"Related projects\nStefano Balzarotti is putting a lot of effort into porting Yauaa to run in .NET standard.\nYou can track his efforts here on Github: Yauaa .NET standard and\ndownload his releases via Nuget.\n"},"LICENSE.html":{"url":"LICENSE.html","title":"Apache 2.0 License","keywords":"","body":"Apache License\nVersion 2.0, January 2004\nhttps://www.apache.org/licenses/\nTERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION\nDefinitions.\nLicense shall mean the terms and conditions for use, reproduction,\nand distribution as defined by Sections 1 through 9 of this document.\nLicensor shall mean the copyright owner or entity authorized by\nthe 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We also recommend that a\nfile or class name and description of purpose be included on the\nsame \"printed page\" as the copyright notice for easier\nidentification within third-party archives.\n\nCopyright [yyyy] [name of copyright owner]\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\nhttps://www.apache.org/licenses/LICENSE-2.0\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n\n"}}} \ No newline at end of file diff --git a/examples/java/pom.xml b/examples/java/pom.xml index fa405ce1a3..9fdd8f1b6e 100644 --- a/examples/java/pom.xml +++ b/examples/java/pom.xml @@ -24,7 +24,7 @@ nl.basjes.parse.useragent yauaa-example-parent - 5.23-SNAPSHOT + 5.23 jar diff --git a/examples/kotlin/pom.xml b/examples/kotlin/pom.xml index 9d7896a0db..d1ec10097c 100644 --- a/examples/kotlin/pom.xml +++ b/examples/kotlin/pom.xml @@ -24,7 +24,7 @@ nl.basjes.parse.useragent yauaa-example-parent - 5.23-SNAPSHOT + 5.23 jar diff --git a/examples/pom.xml b/examples/pom.xml index f570824eb4..b876cbd14b 100644 --- a/examples/pom.xml +++ b/examples/pom.xml @@ -22,7 +22,7 @@ yauaa-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 4.0.0 pom diff --git a/examples/quarkus/pom.xml b/examples/quarkus/pom.xml index 69a8339f66..2e3a81c775 100644 --- a/examples/quarkus/pom.xml +++ b/examples/quarkus/pom.xml @@ -45,7 +45,7 @@ 2.22.2 2.22.2 - 5.22 + 5.23 diff --git a/examples/scala/pom.xml b/examples/scala/pom.xml index bf18fc2c9f..3569d3421c 100644 --- a/examples/scala/pom.xml +++ b/examples/scala/pom.xml @@ -24,7 +24,7 @@ nl.basjes.parse.useragent yauaa-example-parent - 5.23-SNAPSHOT + 5.23 jar diff --git a/pom.xml b/pom.xml index 12a9faf562..89cb3f332a 100644 --- a/pom.xml +++ b/pom.xml @@ -25,7 +25,7 @@ yauaa-parent pom nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 Yauaa : A parsing and analyzing library to get information from a useragent string. diff --git a/serialization/base-tests/pom.xml b/serialization/base-tests/pom.xml index fb5ffd3e24..3bebd4d9cb 100644 --- a/serialization/base-tests/pom.xml +++ b/serialization/base-tests/pom.xml @@ -24,7 +24,7 @@ nl.basjes.parse.useragent yauaa-serialization-tests-parent - 5.23-SNAPSHOT + 5.23 jar diff --git a/serialization/java-default/pom.xml b/serialization/java-default/pom.xml index 82832ffc65..fd95711f03 100644 --- a/serialization/java-default/pom.xml +++ b/serialization/java-default/pom.xml @@ -24,7 +24,7 @@ nl.basjes.parse.useragent yauaa-serialization-tests-parent - 5.23-SNAPSHOT + 5.23 jar diff --git a/serialization/java-kryo-4/pom.xml b/serialization/java-kryo-4/pom.xml index 7fa3cc80d2..3420310489 100644 --- a/serialization/java-kryo-4/pom.xml +++ b/serialization/java-kryo-4/pom.xml @@ -24,7 +24,7 @@ nl.basjes.parse.useragent yauaa-serialization-tests-parent - 5.23-SNAPSHOT + 5.23 jar diff --git a/serialization/java-kryo-5/pom.xml b/serialization/java-kryo-5/pom.xml index dac2f798df..ec14dc26ed 100644 --- a/serialization/java-kryo-5/pom.xml +++ b/serialization/java-kryo-5/pom.xml @@ -24,7 +24,7 @@ nl.basjes.parse.useragent yauaa-serialization-tests-parent - 5.23-SNAPSHOT + 5.23 jar diff --git a/serialization/pom.xml b/serialization/pom.xml index aee169e6a9..bdf5f010e1 100644 --- a/serialization/pom.xml +++ b/serialization/pom.xml @@ -22,7 +22,7 @@ yauaa-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 4.0.0 pom diff --git a/src/book.js b/src/book.js index 832f2148a2..0b26d18472 100644 --- a/src/book.js +++ b/src/book.js @@ -31,7 +31,7 @@ module.exports = { variables: { version: pkg.version, - YauaaVersion: "5.22" + YauaaVersion: "5.23" }, pluginsConfig: { diff --git a/udfs/beam-sql/pom.xml b/udfs/beam-sql/pom.xml index c755547946..af45480033 100644 --- a/udfs/beam-sql/pom.xml +++ b/udfs/beam-sql/pom.xml @@ -24,7 +24,7 @@ yauaa-udf-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 yauaa-beam-sql diff --git a/udfs/beam/pom.xml b/udfs/beam/pom.xml index 9d72e40acc..54d2b60fba 100644 --- a/udfs/beam/pom.xml +++ b/udfs/beam/pom.xml @@ -24,7 +24,7 @@ yauaa-udf-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 yauaa-beam diff --git a/udfs/drill/function/pom.xml b/udfs/drill/function/pom.xml index 83a08c5c3f..004684ac7b 100644 --- a/udfs/drill/function/pom.xml +++ b/udfs/drill/function/pom.xml @@ -23,7 +23,7 @@ yauaa-udf-drill-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 yauaa-drill diff --git a/udfs/drill/pom.xml b/udfs/drill/pom.xml index 1af095eb05..58d90b316b 100644 --- a/udfs/drill/pom.xml +++ b/udfs/drill/pom.xml @@ -22,7 +22,7 @@ yauaa-udf-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 4.0.0 pom diff --git a/udfs/drill/tests/pom.xml b/udfs/drill/tests/pom.xml index 6b083c6c9c..2b429e677b 100644 --- a/udfs/drill/tests/pom.xml +++ b/udfs/drill/tests/pom.xml @@ -24,7 +24,7 @@ yauaa-udf-drill-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 yauaa-drill-tests diff --git a/udfs/elasticsearch/pom.xml b/udfs/elasticsearch/pom.xml index 3da8da7eab..4e73150861 100644 --- a/udfs/elasticsearch/pom.xml +++ b/udfs/elasticsearch/pom.xml @@ -24,7 +24,7 @@ yauaa-udf-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 yauaa-elasticsearch jar diff --git a/udfs/flink-table/pom.xml b/udfs/flink-table/pom.xml index 2afaee733e..c59adc610a 100644 --- a/udfs/flink-table/pom.xml +++ b/udfs/flink-table/pom.xml @@ -24,7 +24,7 @@ yauaa-udf-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 yauaa-flink-table diff --git a/udfs/flink/pom.xml b/udfs/flink/pom.xml index a00b5c5de7..60b6c57361 100644 --- a/udfs/flink/pom.xml +++ b/udfs/flink/pom.xml @@ -24,7 +24,7 @@ yauaa-udf-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 yauaa-flink diff --git a/udfs/hive/pom.xml b/udfs/hive/pom.xml index 625fe977b6..ae8e4cbbbd 100644 --- a/udfs/hive/pom.xml +++ b/udfs/hive/pom.xml @@ -24,7 +24,7 @@ yauaa-udf-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 yauaa-hive diff --git a/udfs/logparser/pom.xml b/udfs/logparser/pom.xml index b346c935dd..1a17653c7b 100644 --- a/udfs/logparser/pom.xml +++ b/udfs/logparser/pom.xml @@ -24,7 +24,7 @@ yauaa-udf-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 yauaa-logparser diff --git a/udfs/logstash/logstash-dependency/pom.xml b/udfs/logstash/logstash-dependency/pom.xml index f16685aafb..f75ea6c07c 100644 --- a/udfs/logstash/logstash-dependency/pom.xml +++ b/udfs/logstash/logstash-dependency/pom.xml @@ -24,7 +24,7 @@ nl.basjes.parse.useragent yauaa-logstash-parent - 5.23-SNAPSHOT + 5.23 yauaa-logstash-dependency diff --git a/udfs/logstash/logstash-filter/pom.xml b/udfs/logstash/logstash-filter/pom.xml index bddb38a994..c7854789d9 100644 --- a/udfs/logstash/logstash-filter/pom.xml +++ b/udfs/logstash/logstash-filter/pom.xml @@ -24,7 +24,7 @@ nl.basjes.parse.useragent yauaa-logstash-parent - 5.23-SNAPSHOT + 5.23 yauaa-logstash diff --git a/udfs/logstash/pom.xml b/udfs/logstash/pom.xml index e6349d9708..751a4781f1 100644 --- a/udfs/logstash/pom.xml +++ b/udfs/logstash/pom.xml @@ -23,7 +23,7 @@ yauaa-udf-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 yauaa-logstash-parent pom diff --git a/udfs/nifi/nifi-nar/pom.xml b/udfs/nifi/nifi-nar/pom.xml index af44350e65..5b9743bc62 100644 --- a/udfs/nifi/nifi-nar/pom.xml +++ b/udfs/nifi/nifi-nar/pom.xml @@ -23,7 +23,7 @@ nl.basjes.parse.useragent yauaa-nifi-parent - 5.23-SNAPSHOT + 5.23 yauaa-nifi diff --git a/udfs/nifi/nifi-processors/pom.xml b/udfs/nifi/nifi-processors/pom.xml index f8ed5ad2b6..6e2d497ff2 100644 --- a/udfs/nifi/nifi-processors/pom.xml +++ b/udfs/nifi/nifi-processors/pom.xml @@ -23,7 +23,7 @@ nl.basjes.parse.useragent yauaa-nifi-parent - 5.23-SNAPSHOT + 5.23 yauaa-nifi-processors diff --git a/udfs/nifi/pom.xml b/udfs/nifi/pom.xml index dce1e8711c..6c13c2bd2f 100644 --- a/udfs/nifi/pom.xml +++ b/udfs/nifi/pom.xml @@ -23,7 +23,7 @@ yauaa-udf-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 yauaa-nifi-parent pom diff --git a/udfs/pig/pom.xml b/udfs/pig/pom.xml index e77018f330..401b65207c 100644 --- a/udfs/pig/pom.xml +++ b/udfs/pig/pom.xml @@ -25,7 +25,7 @@ yauaa-udf-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 yauaa-pig diff --git a/udfs/pom.xml b/udfs/pom.xml index 58a46cb039..427a2aa042 100644 --- a/udfs/pom.xml +++ b/udfs/pom.xml @@ -22,7 +22,7 @@ yauaa-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 4.0.0 pom diff --git a/webapp/pom.xml b/webapp/pom.xml index 19f5b8f8cf..06823e8056 100644 --- a/webapp/pom.xml +++ b/webapp/pom.xml @@ -22,7 +22,7 @@ yauaa-parent nl.basjes.parse.useragent - 5.23-SNAPSHOT + 5.23 4.0.0 war