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https://issues.apache.org/jira/browse/BEAM-6443?focusedWorklogId=210577&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-210577
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ASF GitHub Bot logged work on BEAM-6443:
----------------------------------------
Author: ASF GitHub Bot
Created on: 09/Mar/19 17:28
Start Date: 09/Mar/19 17:28
Worklog Time Spent: 10m
Work Description: reuvenlax commented on issue #7547: [BEAM-6443]
decrease the number of thread for BigQuery streaming inse…
URL: https://github.com/apache/beam/pull/7547#issuecomment-471203480
Sorry for the delay. I've been on vacation.
On Fri, Mar 8, 2019 at 2:26 PM Chamikara Jayalath <[email protected]>
wrote:
> LGTM.
>
> Reuven, do you have any additional comments here ?
>
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Issue Time Tracking
-------------------
Worklog Id: (was: 210577)
Time Spent: 4h 10m (was: 4h)
> 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
> Labels: triaged
> Time Spent: 4h 10m
> 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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