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commit: a137732
buildURL: Build Status, Sponge
status: failed
Test output
client_and_types = (, )
project_id = 'precise-truck-742'
table = Table(TableReference(DatasetReference('precise-truck-742', 'bq_storage_system_tests_05319d93_897c_403f_9212_4fe7a3a3bace'), 'users'))
bq_client =
data_format = 'AVRO'
@pytest.mark.parametrize("data_format", ("AVRO", "ARROW"))
def test_snapshot(client_and_types, project_id, table, bq_client, data_format):
client, types = client_and_types
# load original data into the table
original_data = [
{"first_name": "OGFoo", "last_name": "Smith", "age": 44},
{"first_name": "OGBar", "last_name": "Jones", "age": 33},
]
og_job = bq_client.load_table_from_json(original_data, table).result()
tests/system/reader/test_reader.py:192:
.nox/system-3-8/lib/python3.8/site-packages/google/cloud/bigquery/job/base.py:662: in result
return super(_AsyncJob, self).result(timeout=timeout, **kwargs)
self = <google.cloud.bigquery.job.load.LoadJob object at 0x7fa8a4120640>
timeout = None, retry = <google.api_core.retry.Retry object at 0x7fa8a6744b80>
def result(self, timeout=None, retry=DEFAULT_RETRY):
"""Get the result of the operation, blocking if necessary.
Args:
timeout (int):
How long (in seconds) to wait for the operation to complete.
If None, wait indefinitely.
Returns:
google.protobuf.Message: The Operation's result.
Raises:
google.api_core.GoogleAPICallError: If the operation errors or if
the timeout is reached before the operation completes.
"""
kwargs = {} if retry is DEFAULT_RETRY else {"retry": retry}
self._blocking_poll(timeout=timeout, **kwargs)
if self._exception is not None:
# pylint: disable=raising-bad-type
# Pylint doesn't recognize that this is valid in this case.
E google.api_core.exceptions.Forbidden: 403 Exceeded rate limits: too many table update operations for this table. For more information, see https://cloud.google.com/bigquery/troubleshooting-errors
.nox/system-3-8/lib/python3.8/site-packages/google/api_core/future/polling.py:134: Forbidden
This test failed!
To configure my behavior, see the Flaky Bot documentation.
If I'm commenting on this issue too often, add the
flakybot: quietlabel andI will stop commenting.
commit: a137732
buildURL: Build Status, Sponge
status: failed
Test output
client_and_types = (, ) project_id = 'precise-truck-742' table = Table(TableReference(DatasetReference('precise-truck-742', 'bq_storage_system_tests_05319d93_897c_403f_9212_4fe7a3a3bace'), 'users')) bq_client = data_format = 'AVRO'
tests/system/reader/test_reader.py:192:
.nox/system-3-8/lib/python3.8/site-packages/google/cloud/bigquery/job/base.py:662: in result
return super(_AsyncJob, self).result(timeout=timeout, **kwargs)
self = <google.cloud.bigquery.job.load.LoadJob object at 0x7fa8a4120640>
timeout = None, retry = <google.api_core.retry.Retry object at 0x7fa8a6744b80>
E google.api_core.exceptions.Forbidden: 403 Exceeded rate limits: too many table update operations for this table. For more information, see https://cloud.google.com/bigquery/troubleshooting-errors
.nox/system-3-8/lib/python3.8/site-packages/google/api_core/future/polling.py:134: Forbidden