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https://issues.apache.org/jira/browse/BEAM-11705?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17296595#comment-17296595
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Beam JIRA Bot commented on BEAM-11705:
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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.
> Write to bigquery always assigns unique insert id per row causing performance
> issue
> -----------------------------------------------------------------------------------
>
> Key: BEAM-11705
> URL: https://issues.apache.org/jira/browse/BEAM-11705
> Project: Beam
> Issue Type: Improvement
> Components: io-py-gcp
> Reporter: Ning Kang
> Assignee: Pablo Estrada
> Priority: P2
> Labels: stale-assigned
> Time Spent: 1h 40m
> Remaining Estimate: 0h
>
> The `ignore_insert_id` argument in BigQuery IO Connector
> https://github.com/apache/beam/blob/master/sdks/python/apache_beam/io/gcp/bigquery.py#L1471
> does not take effect.
> Because the implementation of sending insert rows request always uses an auto
> generated uuid even when the insert_ids is set to None when
> `ignore_insert_id` is True:
> https://github.com/apache/beam/blob/master/sdks/python/apache_beam/io/gcp/bigquery_tools.py#L1062
> The implementation should explicitly set insert_id as None instead of using a
> generated uuid, an example:
> https://github.com/googleapis/python-bigquery/blob/master/samples/table_insert_rows_explicit_none_insert_ids.py#L33
> An unique insert id per row would make the streaming inserts very slow.
> Additionally, the `DEFAULT_SHARDS_PER_DESTINATION` doesn't seem to take any
> effect when `ignore_insert_id` is True in the implementation because it
> skipped the `ReshufflePerKey`
> (https://github.com/apache/beam/blob/master/sdks/python/apache_beam/io/gcp/bigquery.py#L1422).
> When `ignore_insert_id` is True, we seem to lost the batch size control?
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