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https://issues.apache.org/jira/browse/BEAM-4486?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17123322#comment-17123322
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Beam JIRA Bot commented on BEAM-4486:
-------------------------------------
This issue is P2 but has been unassigned without any comment for 60 days so it
has been labeled "stale-P2". If this issue is still affecting you, we care!
Please comment and remove the label. Otherwise, in 14 days the issue will be
moved to P3.
Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed
explanation of what these priorities mean.
> BigQuery: FILE_LOADS + CREATE_NEVER + field-based partitioning => missing
> schema exception
> ------------------------------------------------------------------------------------------
>
> Key: BEAM-4486
> URL: https://issues.apache.org/jira/browse/BEAM-4486
> Project: Beam
> Issue Type: Bug
> Components: io-java-gcp
> Affects Versions: 2.4.0
> Reporter: Glenn Ammons
> Priority: P2
> Labels: stale-P2
>
> Our pipeline gets this error from BigQuery when using
> BigQueryIO.Write.Method.FILE_LOADS,
> BigQueryIO.Write.CreateDisposition.CREATE_NEVER, and field-based time
> partitioning (full exception at the bottom of this note):
> Table with field based partitioning must have a schema.
> We do supply a schema when we create the pipeline by calling
> BigQuery.Write.withSchema, but this schema is ignored because the
> processElement method here:
> [https://github.com/apache/beam/blob/master/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/WriteTables.java]
> always provides a null schema when using CREATE_NEVER.
> I would expect Beam to use the provided schema no matter what setting we are
> using for the CreateDisposition.
>
> Full exception:
> java.io.IOException: Unable to insert job:
> 078646f70a664daaa1ed96832b233036_19e873cd24cf1968559515e49b3d868d_00001_00000-0,
> aborting after 9 .
> org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl.startJob(BigQueryServicesImpl.java:236)
>
> org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl.startJob(BigQueryServicesImpl.java:204)
>
> org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl.startLoadJob(BigQueryServicesImpl.java:144)
> org.apache.beam.sdk.io.gcp.bigquery.WriteTables.load(WriteTables.java:259)
> org.apache.beam.sdk.io.gcp.bigquery.WriteTables.access$600(WriteTables.java:77)
>
> org.apache.beam.sdk.io.gcp.bigquery.WriteTables$WriteTablesDoFn.processElement(WriteTables.java:155)
> Caused by:
> com.google.api.client.googleapis.json.GoogleJsonResponseException: 400 Bad
> Request \{ "code" : 400, "errors" : [ { "domain" : "global", "message" :
> "Table with field based partitioning must have a schema.", "reason" :
> "invalid" } ], "message" : "Table with field based partitioning must have a
> schema." }
> com.google.api.client.googleapis.json.GoogleJsonResponseException.from(GoogleJsonResponseException.java:146)
>
> com.google.api.client.googleapis.services.json.AbstractGoogleJsonClientRequest.newExceptionOnError(AbstractGoogleJsonClientRequest.java:113)
>
> com.google.api.client.googleapis.services.json.AbstractGoogleJsonClientRequest.newExceptionOnError(AbstractGoogleJsonClientRequest.java:40)
>
> com.google.api.client.googleapis.services.AbstractGoogleClientRequest$1.interceptResponse(AbstractGoogleClientRequest.java:321)
> com.google.api.client.http.HttpRequest.execute(HttpRequest.java:1065)
> com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed(AbstractGoogleClientRequest.java:419)
>
> com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed(AbstractGoogleClientRequest.java:352)
>
> com.google.api.client.googleapis.services.AbstractGoogleClientRequest.execute(AbstractGoogleClientRequest.java:469)
>
> org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl.startJob(BigQueryServicesImpl.java:218)
>
> org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl.startJob(BigQueryServicesImpl.java:204)
>
> org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl.startLoadJob(BigQueryServicesImpl.java:144)
> org.apache.beam.sdk.io.gcp.bigquery.WriteTables.load(WriteTables.java:259)
> org.apache.beam.sdk.io.gcp.bigquery.WriteTables.access$600(WriteTables.java:77)
>
> org.apache.beam.sdk.io.gcp.bigquery.WriteTables$WriteTablesDoFn.processElement(WriteTables.java:155)
>
> org.apache.beam.sdk.io.gcp.bigquery.WriteTables$WriteTablesDoFn$DoFnInvoker.invokeProcessElement(Unknown
> Source)
> org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:177)
>
> org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:138)
>
> com.google.cloud.dataflow.worker.StreamingSideInputDoFnRunner.startBundle(StreamingSideInputDoFnRunner.java:60)
>
> com.google.cloud.dataflow.worker.SimpleParDoFn.reallyStartBundle(SimpleParDoFn.java:300)
>
> com.google.cloud.dataflow.worker.SimpleParDoFn.startBundle(SimpleParDoFn.java:226)
>
> com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.start(ParDoOperation.java:35)
>
> com.google.cloud.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:67)
>
> com.google.cloud.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1197)
>
> com.google.cloud.dataflow.worker.StreamingDataflowWorker.access$1000(StreamingDataflowWorker.java:137)
>
> com.google.cloud.dataflow.worker.StreamingDataflowWorker$6.run(StreamingDataflowWorker.java:940)
>
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> java.lang.Thread.run(Thread.java:745)
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