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https://issues.apache.org/jira/browse/BEAM-383?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15388653#comment-15388653
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ASF GitHub Bot commented on BEAM-383:
-------------------------------------
GitHub user ianzhou1 opened a pull request:
https://github.com/apache/incubator-beam/pull/707
[BEAM-383] BigQueryIO update sink to shard into multiple write jobs
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---
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ianzhou1/incubator-beam BigQueryBranch
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-beam/pull/707.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #707
----
commit 5294e161d38c37a71c54a8925288f488e9982cab
Author: Ian Zhou <ianz...@google.com>
Date: 2016-07-20T22:56:21Z
Modified BigQueryIO to write based on number of files and file sizes
commit b96184d221de08fd825c9f914b8dc393987c6de9
Author: Ian Zhou <ianz...@google.com>
Date: 2016-07-22T00:04:25Z
Added unit tests for DoFns used in BigQueryWrite
----
> BigQueryIO: update sink to shard into multiple write jobs
> ---------------------------------------------------------
>
> Key: BEAM-383
> URL: https://issues.apache.org/jira/browse/BEAM-383
> Project: Beam
> Issue Type: Bug
> Components: sdk-java-gcp
> Reporter: Daniel Halperin
> Assignee: Ian Zhou
>
> BigQuery has global limits on both the # files that can be written in a
> single job and the total bytes in those files. We should be able to modify
> BigQueryIO.Write to chunk into multiple smaller jobs that meet these limits,
> write to temp tables, and atomically copy into the destination table.
> This functionality will let us safely stay within BQ's load job limits.
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