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  1. Beam
  2. BEAM-11277

WriteToBigQuery with batch file loads does not respect schema update options when there are multiple load jobs

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    Details

    • Type: Bug
    • Status: Resolved
    • Priority: P2
    • Resolution: Fixed
    • Affects Version/s: 2.21.0, 2.24.0, 2.25.0, 2.28.0
    • Fix Version/s: 2.30.0
    • Component/s: io-py-gcp, runner-dataflow
    • Labels:
      None

      Description

      When multiple load jobs are needed to write data to a destination table, e.g., when the data is spread over more than 10,000 URIs, WriteToBigQuery in FILE_LOADS mode will write data into temporary tables and then copy the temporary tables into the destination table.

      When WriteToBigQuery is used with write_disposition=BigQueryDisposition.WRITE_APPEND and additional_bq_parameters={"schemaUpdateOptions": ["ALLOW_FIELD_ADDITION"]}, the schema update options are not respected by the jobs that copy data from temporary tables into the destination table. The effect is that for small jobs (<10K source URIs), schema field addition is allowed, however, if the job is scaled to >10K source URIs, then schema field addition will fail with an error such as:

      Provided Schema does not match Table project:dataset.table. Cannot add fields (field: field_name)

      I've been able to reproduce this issue with Python 3.7 and DataflowRunner on Beam 2.21.0 and Beam 2.25.0. I could not reproduce the issue with DirectRunner. A minimal reproducible example is attached.

        Attachments

        1. repro.py
          3 kB
          Chun Yang

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            • Assignee:
              cccyang Chun Yang
              Reporter:
              cccyang Chun Yang
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