[
https://issues.apache.org/jira/browse/BEAM-6831?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17122092#comment-17122092
]
Kenneth Knowles commented on BEAM-6831:
---------------------------------------
This issue is assigned but has not received an update in 30 days so it has been
labeled "stale-assigned". If you are still working on the issue, please give an
update and remove the label. If you are no longer working on the issue, please
unassign so someone else may work on it. In 7 days the issue will be
automatically unassigned.
> python sdk WriteToBigQuery excessive usage of metered API
> ---------------------------------------------------------
>
> Key: BEAM-6831
> URL: https://issues.apache.org/jira/browse/BEAM-6831
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Affects Versions: 2.10.0
> Reporter: Pesach Weinstock
> Assignee: Pablo Estrada
> Priority: P2
> Labels: bigquery, dataflow, gcp, python, stale-assigned
> Attachments: apache-beam-py-sdk-gcp-bq-api-issue.png
>
>
> Right now, there is a potential issue with the python sdk where
> {{beam.io.gcp.bigquery.WriteToBigQuery}} calls the following api more often
> than needed:
> [https://www.googleapis.com/bigquery/v2/projects/<project-name>/datasets/<dataset-name>/tables/<table-name>?alt=json|https://www.googleapis.com/bigquery/v2/projects/%3Cproject-name%3E/datasets/%3Cdataset-name%3E/tables/%3Ctable-name%3E?alt=json]
> The above request falls under specific bigquery API quotas which are excluded
> from bigquery streaming inserts. When used in a streaming pipeline, we hit
> this quota pretty quickly, and cannot proceed to write any further data to
> bigquery.
> Dispositions being used are:
> * create_disposition: {{beam.io.BigQueryDisposition.CREATE_NEVER}}
> * write_disposition: {{beam.io.BigQueryDisposition.WRITE_APPEND}}
> This is currently blocking us from using bigqueryIO in a streaming pipeline
> to write to bigquery, and required us to formally request an API quota
> increase from Google to temporarily correct the situation.
> Our pipeline uses DataflowRunner. Error seen is below, and in attached
> screenshot of stackdriver trace.
> {code:java}
> "errors": [
> {
> "message": "Exceeded rate limits: too many api requests per user per
> method for this user_method. For more information, see
> https://cloud.google.com/bigquery/troubleshooting-errors";,
> "domain": "usageLimits",
> "reason": "rateLimitExceeded"
> }
> ],
> {code}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
