kbl commented on a change in pull request #3043: AIRFLOW-2107 add
time_partitioning to run_query on BigQueryBaseCursor
URL: https://github.com/apache/incubator-airflow/pull/3043#discussion_r220225343
##########
File path: airflow/contrib/hooks/bigquery_hook.py
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@@ -1485,3 +1490,17 @@ def var_print(var_name):
project_id = default_project_id
return project_id, dataset_id, table_id
+
+
+def _cleanse_time_partitioning(destination_dataset_table,
time_partitioning_in):
+ # if it is a partitioned table ($ is in the table name) add partition load
option
+ time_partitioning_out = {}
+ if destination_dataset_table and '$' in destination_dataset_table:
+ assert not time_partitioning_in.get('field'), (
Review comment:
Why this assertion was placed there? When there is a table that is
partitioned by custom column and I'd like to load results of some query to it
it fails with one of two reasons:
1. when destination_dataset_table=table$partition is specified and
time_partitioning is specified it fails on this assertion
2. when destination_dataset_table=table$partition is specified and
time_partitioning is missing it fails with "'Incompatible table partitioning
specification. Expects partitioning specification
interval(type:day,field:time), but input partitioning specification is
interval(type:day)'"
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