pabloem commented on code in PR #17159:
URL: https://github.com/apache/beam/pull/17159#discussion_r864045268
##########
sdks/python/apache_beam/io/gcp/bigquery_test.py:
##########
@@ -482,6 +484,34 @@ def test_temp_dataset_is_configurable(
delete_table.assert_called_with(
temp_dataset.projectId, temp_dataset.datasetId, mock.ANY)
+ @pytest.mark.it_postcommit
+ def test_table_schema_retrieve(self):
+ the_table = apache_beam.io.gcp.bigquery.bigquery_tools.BigQueryWrapper(
+ ).get_table(
+ project_id="apache-beam-testing",
+ dataset_id="beam_bigquery_io_test",
+ table_id="dfsqltable_3c7d6fd5_16e0460dfd0")
+ table = the_table.schema
+ utype = bigquery_schema_tools.produce_pcoll_with_schema(table)
+ with beam.Pipeline() as p:
+ result = (
+ p | apache_beam.io.gcp.bigquery.ReadFromBigQuery(
+ gcs_location="gs://bqio_schema",
+ table="beam_bigquery_io_test.dfsqltable_3c7d6fd5_16e0460dfd0",
+ project="apache-beam-testing")
+ | apache_beam.io.gcp.bigquery.ReadFromBigQuery.get_pcoll_from_schema(
+ table))
+ assert_that(
+ result,
+ equal_to([
+ utype(id=3, name='customer1', type='test'),
+ utype(id=1, name='customer1', type='test'),
+ utype(id=2, name='customer2', type='test'),
+ utype(id=4, name='customer2', type='test')
+ ]))
Review Comment:
by using {id:...} instead of utype(...) you can work around the pickling
issue
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