What are the differences between `WriteToBigQuery` and `BigQuerySink`
Following this answer I wonder what are the principal differences (if any) between WriteToBigQuery
and BigQuerySink
of the Apache Beam Python SDK.
What are the considerations or limitations of using one over another?
google-bigquery apache-beam apache-beam-io
add a comment |
Following this answer I wonder what are the principal differences (if any) between WriteToBigQuery
and BigQuerySink
of the Apache Beam Python SDK.
What are the considerations or limitations of using one over another?
google-bigquery apache-beam apache-beam-io
add a comment |
Following this answer I wonder what are the principal differences (if any) between WriteToBigQuery
and BigQuerySink
of the Apache Beam Python SDK.
What are the considerations or limitations of using one over another?
google-bigquery apache-beam apache-beam-io
Following this answer I wonder what are the principal differences (if any) between WriteToBigQuery
and BigQuerySink
of the Apache Beam Python SDK.
What are the considerations or limitations of using one over another?
google-bigquery apache-beam apache-beam-io
google-bigquery apache-beam apache-beam-io
asked Jan 1 at 8:54
misanthropemisanthrope
616422
616422
add a comment |
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1 Answer
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Looking at sources:
BigQuerySink triggers a Dataflow native sink for BigQuery
that only supports batch pipelines. Instead of using this sink
directly, please use WriteToBigQuery transform that works for both
batch and streaming pipelines.
They both seem to do a similar thing underneath otherwise.
I have stumbled once on the “Cloud Pub/Sub is currently available for use only in streaming pipelines” exception in the “dataflow_runner”. If aBigQuerySink
cannot be used for the streaming pipelines then I believe it should be addressed similarly to Pub/Sub usage.
– misanthrope
Jan 3 at 7:36
Confirming that usingBigQuerySink
within the streaming mode and Dataflow runner will fail pipeline with “Workflow failed. Causes: Unknown streaming sink: big query” error on data flow pipeline job page and with an exception: “AssertionError: Job did not reach a terminal state after waiting indefinitely.” in a stack trace.
– misanthrope
Jan 3 at 11:06
add a comment |
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1 Answer
1
active
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Looking at sources:
BigQuerySink triggers a Dataflow native sink for BigQuery
that only supports batch pipelines. Instead of using this sink
directly, please use WriteToBigQuery transform that works for both
batch and streaming pipelines.
They both seem to do a similar thing underneath otherwise.
I have stumbled once on the “Cloud Pub/Sub is currently available for use only in streaming pipelines” exception in the “dataflow_runner”. If aBigQuerySink
cannot be used for the streaming pipelines then I believe it should be addressed similarly to Pub/Sub usage.
– misanthrope
Jan 3 at 7:36
Confirming that usingBigQuerySink
within the streaming mode and Dataflow runner will fail pipeline with “Workflow failed. Causes: Unknown streaming sink: big query” error on data flow pipeline job page and with an exception: “AssertionError: Job did not reach a terminal state after waiting indefinitely.” in a stack trace.
– misanthrope
Jan 3 at 11:06
add a comment |
Looking at sources:
BigQuerySink triggers a Dataflow native sink for BigQuery
that only supports batch pipelines. Instead of using this sink
directly, please use WriteToBigQuery transform that works for both
batch and streaming pipelines.
They both seem to do a similar thing underneath otherwise.
I have stumbled once on the “Cloud Pub/Sub is currently available for use only in streaming pipelines” exception in the “dataflow_runner”. If aBigQuerySink
cannot be used for the streaming pipelines then I believe it should be addressed similarly to Pub/Sub usage.
– misanthrope
Jan 3 at 7:36
Confirming that usingBigQuerySink
within the streaming mode and Dataflow runner will fail pipeline with “Workflow failed. Causes: Unknown streaming sink: big query” error on data flow pipeline job page and with an exception: “AssertionError: Job did not reach a terminal state after waiting indefinitely.” in a stack trace.
– misanthrope
Jan 3 at 11:06
add a comment |
Looking at sources:
BigQuerySink triggers a Dataflow native sink for BigQuery
that only supports batch pipelines. Instead of using this sink
directly, please use WriteToBigQuery transform that works for both
batch and streaming pipelines.
They both seem to do a similar thing underneath otherwise.
Looking at sources:
BigQuerySink triggers a Dataflow native sink for BigQuery
that only supports batch pipelines. Instead of using this sink
directly, please use WriteToBigQuery transform that works for both
batch and streaming pipelines.
They both seem to do a similar thing underneath otherwise.
answered Jan 2 at 18:41
AntonAnton
1,167216
1,167216
I have stumbled once on the “Cloud Pub/Sub is currently available for use only in streaming pipelines” exception in the “dataflow_runner”. If aBigQuerySink
cannot be used for the streaming pipelines then I believe it should be addressed similarly to Pub/Sub usage.
– misanthrope
Jan 3 at 7:36
Confirming that usingBigQuerySink
within the streaming mode and Dataflow runner will fail pipeline with “Workflow failed. Causes: Unknown streaming sink: big query” error on data flow pipeline job page and with an exception: “AssertionError: Job did not reach a terminal state after waiting indefinitely.” in a stack trace.
– misanthrope
Jan 3 at 11:06
add a comment |
I have stumbled once on the “Cloud Pub/Sub is currently available for use only in streaming pipelines” exception in the “dataflow_runner”. If aBigQuerySink
cannot be used for the streaming pipelines then I believe it should be addressed similarly to Pub/Sub usage.
– misanthrope
Jan 3 at 7:36
Confirming that usingBigQuerySink
within the streaming mode and Dataflow runner will fail pipeline with “Workflow failed. Causes: Unknown streaming sink: big query” error on data flow pipeline job page and with an exception: “AssertionError: Job did not reach a terminal state after waiting indefinitely.” in a stack trace.
– misanthrope
Jan 3 at 11:06
I have stumbled once on the “Cloud Pub/Sub is currently available for use only in streaming pipelines” exception in the “dataflow_runner”. If a
BigQuerySink
cannot be used for the streaming pipelines then I believe it should be addressed similarly to Pub/Sub usage.– misanthrope
Jan 3 at 7:36
I have stumbled once on the “Cloud Pub/Sub is currently available for use only in streaming pipelines” exception in the “dataflow_runner”. If a
BigQuerySink
cannot be used for the streaming pipelines then I believe it should be addressed similarly to Pub/Sub usage.– misanthrope
Jan 3 at 7:36
Confirming that using
BigQuerySink
within the streaming mode and Dataflow runner will fail pipeline with “Workflow failed. Causes: Unknown streaming sink: big query” error on data flow pipeline job page and with an exception: “AssertionError: Job did not reach a terminal state after waiting indefinitely.” in a stack trace.– misanthrope
Jan 3 at 11:06
Confirming that using
BigQuerySink
within the streaming mode and Dataflow runner will fail pipeline with “Workflow failed. Causes: Unknown streaming sink: big query” error on data flow pipeline job page and with an exception: “AssertionError: Job did not reach a terminal state after waiting indefinitely.” in a stack trace.– misanthrope
Jan 3 at 11:06
add a comment |
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