use "direct" write for non-partitioned python model materializations (dbt-labs#1388)

* use dynamic schema in test_grant_access_to.py

* use dynamic schema in test_grant_access_to.py

* revert setup

* use "direct" write for non-partitioned python model materializations

* add changie log

* add code comment

* make code comment inline

* make code comment inline

* remove code comment

* use set write_method instead of inline conditional

* use set write_method instead of inline conditional

Author: colin-rogers-dbt

.changes/unreleased/Fixes-20241028-172719.yaml

@@ -0,0 +1,6 @@
+kind: Fixes
+body: use "direct" write for non-partitioned python model materializations
+time: 2024-10-28T17:27:19.306348-07:00
+custom:
+  Author: colin-rogers-dbt
+  Issue: "1318"

dbt/include/bigquery/macros/materializations/table.sql

@@ -113,10 +113,19 @@ else:
   msg = f"{type(df)} is not a supported type for dbt Python materialization"
   raise Exception(msg)
 
+# For writeMethod we need to use "indirect" if materializing a partitioned table
+# otherwise we can use "direct". Note that indirect will fail if the GCS bucket has a retention policy set on it.
+{%- if partition_config %}
+      {%- set write_method = 'indirect' -%}
+{%- else %}
+      {% set write_method = 'direct' -%}
+{%- endif %}
+
 df.write \
   .mode("overwrite") \
   .format("bigquery") \
-  .option("writeMethod", "indirect").option("writeDisposition", 'WRITE_TRUNCATE') \
+  .option("writeMethod", "{{ write_method }}") \
+  .option("writeDisposition", 'WRITE_TRUNCATE') \
   {%- if partition_config is not none %}
   {%- if partition_config.data_type | lower in ('date','timestamp','datetime') %}
   .option("partitionField", "{{- partition_config.field -}}") \