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[yaml] Add use cases for Enrichment transform in YAML #32289

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[yaml] Add use cases for Enrichment transform in YAML #32289

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2b49e41
Create use case for enriching spanner data with bigquery
reeba212 Aug 22, 2024
2a9412f
Create example for bigtable enrichment
reeba212 Aug 22, 2024
59b045a
Update integration_tests.py
reeba212 Aug 22, 2024
d603f08
Add project_id parameter to BigQueryWrapper
reeba212 Aug 22, 2024
0b66481
minor changes
reeba212 Aug 23, 2024
8edd4cf
remove project id being passed into bigquery wrapper
reeba212 Aug 28, 2024
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remove project id being passed into bigquery wrapper
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@reeba212
reeba212 committed Aug 28, 2024
commit 8edd4cf38f4d2d51b37009fa2fbd06ae7ee07b88
2 changes: 1 addition & 1 deletion sdks/python/apache_beam/io/gcp/bigquery_tools.py
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Expand Up @@ -352,7 +352,7 @@ class BigQueryWrapper(object):
HISTOGRAM_METRIC_LOGGER = MetricLogger()

def __init__(self, client=None, temp_dataset_id=None, temp_table_ref=None, project_id = None):
self.client = client or BigQueryWrapper._bigquery_client(PipelineOptions(project = project_id))
self.client = client or BigQueryWrapper._bigquery_client(PipelineOptions())
self.gcp_bq_client = client or gcp_bigquery.Client(
client_info=ClientInfo(
user_agent="apache-beam-%s" % apache_beam.__version__))
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2 changes: 1 addition & 1 deletion sdks/python/apache_beam/yaml/integration_tests.py
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Expand Up @@ -48,7 +48,7 @@ def gcs_temp_dir(bucket):

@contextlib.contextmanager
def temp_bigquery_table(project, prefix='yaml_bq_it_'):
bigquery_client = BigQueryWrapper(project_id = "apache-beam-testing")
bigquery_client = BigQueryWrapper()
dataset_id = '%s_%s' % (prefix, uuid.uuid4().hex)
bigquery_client.get_or_create_dataset(project, dataset_id)
logging.info("Created dataset %s in project %s", dataset_id, project)
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