What are the differences between `WriteToBigQuery` and `BigQuerySink`












2















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?










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    2















    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?










    share|improve this question

























      2












      2








      2








      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?










      share|improve this question














      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






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      share|improve this question











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      asked Jan 1 at 8:54









      misanthropemisanthrope

      616422




      616422
























          1 Answer
          1






          active

          oldest

          votes


















          2














          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.






          share|improve this answer
























          • 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











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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          2














          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.






          share|improve this answer
























          • 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
















          2














          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.






          share|improve this answer
























          • 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














          2












          2








          2







          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.






          share|improve this answer













          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.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          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 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



















          • 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

















          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




















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