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# setup | ||
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To support this talk, I tried to replicate this situation with a little Redshift in my personal account. | ||
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* nodes: 1 | ||
* instance type: `dc2.large` | ||
* | ||
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Created a database (https://docs.aws.amazon.com/redshift/latest/gsg/t_creating_database.html): | ||
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```sql | ||
CREATE DATABASE prod; | ||
``` | ||
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* created a role per https://docs.aws.amazon.com/redshift/latest/dg/c-spectrum-iam-policies.html | ||
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```json | ||
{ | ||
"Version": "2012-10-17", | ||
"Statement": [ | ||
{ | ||
"Effect": "Allow", | ||
"Action": [ | ||
"s3:GetBucketLocation", | ||
"s3:GetObject", | ||
"s3:ListMultipartUploadParts", | ||
"s3:ListBucket", | ||
"s3:ListBucketMultipartUploads" | ||
], | ||
"Resource": [ | ||
"arn:aws:s3:::anaconda-package-data", | ||
"arn:aws:s3:::anaconda-package-data/*" | ||
] | ||
}, | ||
{ | ||
"Effect": "Allow", | ||
"Action": [ | ||
"glue:CreateDatabase", | ||
"glue:DeleteDatabase", | ||
"glue:GetDatabase", | ||
"glue:GetDatabases", | ||
"glue:UpdateDatabase", | ||
"glue:CreateTable", | ||
"glue:DeleteTable", | ||
"glue:BatchDeleteTable", | ||
"glue:UpdateTable", | ||
"glue:GetTable", | ||
"glue:GetTables", | ||
"glue:BatchCreatePartition", | ||
"glue:CreatePartition", | ||
"glue:DeletePartition", | ||
"glue:BatchDeletePartition", | ||
"glue:UpdatePartition", | ||
"glue:GetPartition", | ||
"glue:GetPartitions", | ||
"glue:BatchGetPartition" | ||
], | ||
"Resource": [ | ||
"*" | ||
] | ||
} | ||
] | ||
} | ||
``` | ||
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Then ran this to create both a Redshift schema and a database in Glue data catalog | ||
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```sql | ||
CREATE EXTERNAL SCHEMA | ||
conda | ||
FROM DATA CATALOG | ||
DATABASE | ||
'conda' | ||
IAM_ROLE | ||
'arn:aws:iam::${ACCOUNT}:role/redshift-glue-access' | ||
CREATE EXTERNAL DATABASE IF NOT EXISTS; | ||
``` | ||
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Then created a table for the `conda` download stats. | ||
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```sql | ||
CREATE EXTERNAL TABLE | ||
conda.download_stats | ||
(data_source VARCHAR, time TIMESTAMP, pkg_name VARCHAR, pkg_version VARCHAR, pkg_platform VARCHAR, pkg_python VARCHAR, counts BIGINT) | ||
PARTITIONED BY ( | ||
date_year | ||
) | ||
STORED AS PARQUET | ||
LOCATION { 's3://anaconda-package-data/conda/hourly/' } | ||
``` | ||
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data_source: anaconda for Anaconda distribution, conda-forge for the conda-forge channel on Anaconda.org, and bioconda for the bioconda channel on Anaconda.org. | ||
time: UTC time, binned by hour | ||
pkg_name: Package name (Ex: pandas) | ||
pkg_version: Package version (Ex: 0.23.0) | ||
pkg_platform: One of linux-32, linux-64, osx-64, win-32, win-64, linux-armv7, linux-ppcle64, linux-aarch64, or noarch | ||
pkg_python: Python version required by the package, if any (Ex: 3.7) | ||
counts: Number of downloads for this combination of attributs | ||
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Registered this data in Glue: | ||
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* https://www.anaconda.com/blog/announcing-public-anaconda-package-download-data | ||
* https://anaconda-package-data.s3.amazonaws.com/ | ||
* https://docs.aws.amazon.com/redshift/latest/dg/c-spectrum-external-schemas.html | ||
* https://github.com/ContinuumIO/anaconda-package-data |