Details
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Bug
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Status: Open
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P3
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Resolution: Unresolved
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2.15.0, 2.16.0
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None
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None
Description
I've found a first issue with the BigQueryFileLoads Transform and the type of the schema parameter.
Triggering job beam_load_2019_10_11_140829_19_157670e4d458f0ff578fbe971a91b30a_1570802915 to load data to BigQuery table <TableReference datasetId: 'pyr_monat_dev' projectId: 'icentris-ml-dev' tableId: 'tree_user_types'>.Schema: {"fields": [{"name": "id", "type": "INTEGER", "mode": "required"}, {"name": "description", "type": "STRING", "mode": "nullable"}]}. Additional parameters: {} Retry with exponential backoff: waiting for 4.875033410381894 seconds before retrying _insert_load_job because we caught exception: apitools.base.protorpclite.messages.ValidationError: Expected type <clas s 'apache_beam.io.gcp.internal.clients.bigquery.bigquery_v2_messages.TableSchema'> for field schema, found {"fields": [{"name": "id", "type": "INTEGER", "mode": "required"}, {"name": "description", "type" : "STRING", "mode": "nullable"}]} (type <class 'str'>) Traceback for above exception (most recent call last): File "/opt/conda/lib/python3.7/site-packages/apache_beam/utils/retry.py", line 206, in wrapper return fun(*args, **kwargs) File "/opt/conda/lib/python3.7/site-packages/apache_beam/io/gcp/bigquery_tools.py", line 344, in _insert_load_job **additional_load_parameters File "/opt/conda/lib/python3.7/site-packages/apitools/base/protorpclite/messages.py", line 791, in __init__ setattr(self, name, value) File "/opt/conda/lib/python3.7/site-packages/apitools/base/protorpclite/messages.py", line 973, in __setattr__ object.__setattr__(self, name, value) File "/opt/conda/lib/python3.7/site-packages/apitools/base/protorpclite/messages.py", line 1652, in __set__ super(MessageField, self).__set__(message_instance, value) File "/opt/conda/lib/python3.7/site-packages/apitools/base/protorpclite/messages.py", line 1293, in __set__ value = self.validate(value) File "/opt/conda/lib/python3.7/site-packages/apitools/base/protorpclite/messages.py", line 1400, in validate return self.__validate(value, self.validate_element) File "/opt/conda/lib/python3.7/site-packages/apitools/base/protorpclite/messages.py", line 1358, in __validate return validate_element(value) File "/opt/conda/lib/python3.7/site-packages/apitools/base/protorpclite/messages.py", line 1340, in validate_element (self.type, name, value, type(value)))
The triggering code looks like this:
options.view_as(DebugOptions).experiments = ['use_beam_bq_sink']
# Save main session state so pickled functions and classes
# defined in _main_ can be unpickled
options.view_as(SetupOptions).save_main_session = True
custom_options = options.view_as(LoadSqlToBqOptions)
with beam.Pipeline(options=options) as p:
(p
| "Initializing with empty collection" >> beam.Create([1])
| "Reading records from CloudSql" >> beam.ParDo(ReadFromRelationalDBFn(
username=custom_options.user,
password=custom_options.password,
database=custom_options.database,
table=custom_options.table,
key_field=custom_options.key_field,
batch_size=custom_options.batch_size))
| "Converting Row Object for BigQuery" >> beam.ParDo(BuildForBigQueryFn(custom_options.bq_schema))
| "Writing to BigQuery" >> beam.io.WriteToBigQuery(
table=custom_options.bq_table,
schema=custom_options.bq_schema,
write_disposition=beam.io.BigQueryDisposition.WRITE_TRUNCATE,
create_disposition=beam.io.BigQueryDisposition.CREATE_IF_NEEDED))
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