TheNeuralBit commented on code in PR #17159:
URL: https://github.com/apache/beam/pull/17159#discussion_r861932974
##########
sdks/python/apache_beam/io/gcp/bigquery_test.py:
##########
@@ -482,6 +482,37 @@ def test_temp_dataset_is_configurable(
delete_table.assert_called_with(
temp_dataset.projectId, temp_dataset.datasetId, mock.ANY)
+ def test_retrieve_table_schema(self, *args):
+ the_table =
beam.io.gcp.bigquery.bigquery_tools.BigQueryWrapper().get_table(
+ project_id="apache-beam-testing",
+ dataset_id="beam_bigquery_io_test",
+ table_id="taxi")
+ table = the_table.schema
+ schema = beam.io.gcp.internal.clients.bigquery.TableSchema(
+ fields=[
+ beam.io.gcp.internal.clients.bigquery.TableFieldSchema(
+ name="event_timestamp", type="TIMESTAMP", mode="REQUIRED"),
+ beam.io.gcp.internal.clients.bigquery.TableFieldSchema(
+ name="ride_id", type="STRING"),
+ beam.io.gcp.internal.clients.bigquery.TableFieldSchema(
+ name="point_idx", type="INTEGER"),
+ beam.io.gcp.internal.clients.bigquery.TableFieldSchema(
+ name="latitude", type="FLOAT"),
+ beam.io.gcp.internal.clients.bigquery.TableFieldSchema(
+ name="timestamp", type="STRING"),
+ beam.io.gcp.internal.clients.bigquery.TableFieldSchema(
+ name="meter_reading", type="FLOAT"),
+ beam.io.gcp.internal.clients.bigquery.TableFieldSchema(
+ name="meter_increment", type="FLOAT"),
+ beam.io.gcp.internal.clients.bigquery.TableFieldSchema(
+ name="ride_status", type="STRING"),
+ beam.io.gcp.internal.clients.bigquery.TableFieldSchema(
+ name="passenger_count", type="INTEGER"),
+ beam.io.gcp.internal.clients.bigquery.TableFieldSchema(
+ name="longitude", type="FLOAT")
+ ])
+ self.assertEqual(table, schema)
Review Comment:
Could you clarify what this test is verifying? It doesn't seem to exercise
the code you're adding in this PR
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