[ADAP-353]: Fix for #581: Python incremental model (#594)

* Fixes for incremental strategy py model.WIP * doc string * Remove extra comment * Uncomment change schema test * Update dbt/include/bigquery/macros/materializations/incremental.sql Add python language exception for time_ingestion_partitioning Co-authored-by: colin-rogers-dbt <[email protected]> * Remove tox command flag for test python * Adding the env vars in integration * Switch to cluster execution for the python models * Remove comment and add changie * Skipping tests since dataproc is unstable. Restoring default to serverless --------- Co-authored-by: colin-rogers-dbt <[email protected]>
dbt-labs · Mar 10, 2023 · 384f13c · 384f13c
1 parent 850296f
commit 384f13c
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diff --git a/.changes/unreleased/Fixes-20230309-181313.yaml b/.changes/unreleased/Fixes-20230309-181313.yaml
@@ -0,0 +1,6 @@
+kind: Fixes
+body: Fix for Python incremental model regression
+time: 2023-03-09T18:13:13.512904-08:00
+custom:
+  Author: nssalian
+  Issue: "581"
diff --git a/dbt/include/bigquery/macros/materializations/incremental.sql b/dbt/include/bigquery/macros/materializations/incremental.sql
@@ -23,12 +23,17 @@
 
 {% endmacro %}
 {% macro bq_create_table_as(is_time_ingestion_partitioning, temporary, relation, compiled_code, language='sql') %}
-  {% if is_time_ingestion_partitioning %}
+  {% if is_time_ingestion_partitioning and language == 'python' %}
+    {% do exceptions.raise_compiler_error(
+      "Python models do not support ingestion time partitioning"
+    ) %}
+  {% endif %}
+  {% if is_time_ingestion_partitioning and language == 'sql' %}
     {#-- Create the table before inserting data as ingestion time partitioned tables can't be created with the transformed data --#}
-    {% do run_query(create_ingestion_time_partitioned_table_as_sql(temporary, relation, sql)) %}
-    {{ return(bq_insert_into_ingestion_time_partitioned_table_sql(relation, sql)) }}
+    {% do run_query(create_ingestion_time_partitioned_table_as_sql(temporary, relation, compiled_code)) %}
+    {{ return(bq_insert_into_ingestion_time_partitioned_table_sql(relation, compiled_code)) }}
   {% else %}
-    {{ return(create_table_as(temporary, relation, sql)) }}
+    {{ return(create_table_as(temporary, relation, compiled_code, language)) }}
   {% endif %}
 {% endmacro %}
 

diff --git a/tests/functional/adapter/test_python_model.py b/tests/functional/adapter/test_python_model.py
@@ -3,13 +3,16 @@
 from dbt.tests.util import run_dbt, write_file
 import dbt.tests.adapter.python_model.test_python_model as dbt_tests
 
-# ToDo: Fix and schedule these tests:
-# https://github.com/dbt-labs/dbt-bigquery/issues/306
+TEST_SKIP_MESSAGE = "Skipping the Tests since Dataproc serverless is not stable. " \
+                    "TODO: Fix later"
+
+
+@pytest.mark.skip(reason=TEST_SKIP_MESSAGE)
 class TestPythonModelDataproc(dbt_tests.BasePythonModelTests):
     pass
 
 
-@pytest.mark.skip(reason="Currently Broken")
+@pytest.mark.skip(reason=TEST_SKIP_MESSAGE)
 class TestPythonIncrementalMatsDataproc(dbt_tests.BasePythonIncrementalTests):
     pass
 
@@ -37,7 +40,7 @@ def model(dbt, spark):
 """
 
 
-@pytest.mark.skip(reason="Currently Broken")
+@pytest.mark.skip(reason=TEST_SKIP_MESSAGE)
 class TestChangingSchemaDataproc:
 
     @pytest.fixture(scope="class")

diff --git a/tox.ini b/tox.ini
@@ -20,8 +20,10 @@ passenv =
     DBT_*
     BIGQUERY_TEST_*
     PYTEST_ADDOPTS
+    DATAPROC_*
+    GCS_BUCKET
 commands =
-  bigquery: {envpython} -m pytest {posargs} -vv tests/functional -k "not TestPython" --profile service_account
+  bigquery: {envpython} -m pytest {posargs} -vv tests/functional --profile service_account
 deps =
   -rdev-requirements.txt
   -e.