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https://issues.apache.org/jira/browse/BEAM-6443?focusedWorklogId=189711&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-189711
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ASF GitHub Bot logged work on BEAM-6443:
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Author: ASF GitHub Bot
Created on: 24/Jan/19 21:54
Start Date: 24/Jan/19 21:54
Worklog Time Spent: 10m
Work Description: chamikaramj commented on issue #7547: [BEAM-6443]
decrease the number of thread for BigQuery streaming inse…
URL: https://github.com/apache/beam/pull/7547#issuecomment-457372034
Actually, seems like sharding is per step not per bundle:
https://github.com/apache/beam/blob/89e322198828702db239998d6dd29a574fe04898/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/StreamingWriteTables.java#L139
So the proposal here is to reduce the parallelism of writing to BQ for each
write step from 50 unlimited sized thread pools to 50 threads.
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Issue Time Tracking
-------------------
Worklog Id: (was: 189711)
Time Spent: 1h 50m (was: 1h 40m)
> decrease the number of threads for BigQuery streaming insertAll
> ---------------------------------------------------------------
>
> Key: BEAM-6443
> URL: https://issues.apache.org/jira/browse/BEAM-6443
> Project: Beam
> Issue Type: Improvement
> Components: io-java-gcp
> Reporter: Heejong Lee
> Assignee: Heejong Lee
> Priority: Major
> Time Spent: 1h 50m
> Remaining Estimate: 0h
>
> When inserting (a large number of ) very small elements into BigQuery via
> streaming insertAll, BigQueryIO causes lots of quota exceeded errors. This
> implies that 1) BigQueryIO puts unnecessary overheads on BigQuery API layer
> by sending requests too fast 2) log file becomes very big because of repeated
> same error messages. Currently we use 50 shards for writing data into
> BigQuery and in each bundle 20-30 futures are executed simultaneously with
> unlimited thread pool. It would be worth investigating whether just single
> thread pool is sufficient for running concurrent insertAll.
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