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https://issues.apache.org/jira/browse/BEAM-383?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15435276#comment-15435276
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ASF GitHub Bot commented on BEAM-383:
-------------------------------------
GitHub user dhalperi opened a pull request:
https://github.com/apache/incubator-beam/pull/877
[BEAM-383] BigQueryIO.Write: raise size limit to 11 TiB
BigQuery has changed their total size quota to 12 TiB.
https://cloud.google.com/bigquery/quota-policy#import
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/dhalperi/incubator-beam bigquery-limits
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-beam/pull/877.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 #877
----
commit 02648a968992617ba77393d889c8df9d0191b9ea
Author: Dan Halperin <dhalp...@google.com>
Date: 2016-08-24T16:49:46Z
BigQueryIO.Write: raise size limit to 11 TiB
BigQuery has changed their total size quota to 12 TiB.
https://cloud.google.com/bigquery/quota-policy#import
----
> 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
> Fix For: 0.3.0-incubating
>
>
> 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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