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From "Andre (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (BEAM-2404) BigQueryIO reading stalls if no data is returned by query
Date Mon, 19 Jun 2017 12:40:00 GMT

    [ https://issues.apache.org/jira/browse/BEAM-2404?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16053914#comment-16053914
] 

Andre commented on BEAM-2404:
-----------------------------

Thanks [~sisk]. Turns out this was caused by the windowing strategy not firing if no data
comes through. Sorry about that, this ticket can be closed.

> BigQueryIO reading stalls if no data is returned by query
> ---------------------------------------------------------
>
>                 Key: BEAM-2404
>                 URL: https://issues.apache.org/jira/browse/BEAM-2404
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-java-gcp
>    Affects Versions: 2.0.0
>            Reporter: Andre
>            Assignee: Stephen Sisk
>
> When running a BigQueryIO query that doesn't return any rows (e.g. nothing has changed
in a delta job) the job seems to stall and nothing happens as no temp files are being written
which I think might be what it is waiting for. Just adding one row to the source table will
make the job run through successfully.
> Code:
> {code:java}
> PCollection <TableRow> rows = p.apply("ReadFromBQ",
>  BigQueryIO.read()
>  .fromQuery("SELECT * FROM `myproject.dataset.table`")
>  .withoutResultFlattening().usingStandardSql());
> {code}
> 			
> Log:
> {code:java}		
> Jun 02, 2017 9:00:36 AM org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl
startJob
> INFO: Started BigQuery job: {jobId=beam_job_batch-query, projectId=my-project}.
> bq show -j --format=prettyjson --project_id=my-project beam_job_batch-query
> Jun 02, 2017 9:03:11 AM org.apache.beam.sdk.io.gcp.bigquery.BigQuerySourceBase executeExtract
> INFO: Starting BigQuery extract job: beam_job_batch-extract
> Jun 02, 2017 9:03:12 AM org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl
startJob
> INFO: Started BigQuery job: {jobId=beam_job_batch-extract, projectId=my-project}.
> bq show -j --format=prettyjson --project_id=my-project beam_job_batch-extract
> Jun 02, 2017 9:04:06 AM org.apache.beam.sdk.io.gcp.bigquery.BigQuerySourceBase executeExtract
> INFO: BigQuery extract job completed: beam_job_batch-extract
> Jun 02, 2017 9:04:08 AM org.apache.beam.sdk.io.FileBasedSource expandFilePattern
> INFO: Matched 1 files for pattern gs://my-bucket/tmp/BigQueryExtractTemp/ff594d003c6440a1ad84b9e02858b5c6/000000000000.avro
> Jun 02, 2017 9:04:09 AM org.apache.beam.sdk.io.FileBasedSource getEstimatedSizeBytes
> INFO: Filepattern gs://my-bucket/tmp/BigQueryExtractTemp/ff594d003c6440a1ad84b9e02858b5c6/000000000000.avro
matched 1 files with total size 9750
> {code}	



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