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https://issues.apache.org/jira/browse/BEAM-11326?focusedWorklogId=547786&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-547786
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ASF GitHub Bot logged work on BEAM-11326:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 04/Feb/21 19:07
            Start Date: 04/Feb/21 19:07
    Worklog Time Spent: 10m 
      Work Description: kmjung opened a new pull request #13896:
URL: https://github.com/apache/beam/pull/13896


   This change sets a hard deadline of 30s on calls to SplitReadStream in the 
BigQuery storage source. This will help to avoid cases where pipelines are 
killed due to high-latency calls on this path.
   
   ------------------------
   
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 547786)
    Remaining Estimate: 0h
            Time Spent: 10m

> Enforce deadlines during splitAtFraction in BigQueryStorageStreamSource
> -----------------------------------------------------------------------
>
>                 Key: BEAM-11326
>                 URL: https://issues.apache.org/jira/browse/BEAM-11326
>             Project: Beam
>          Issue Type: Bug
>          Components: io-java-gcp
>    Affects Versions: 2.25.0
>            Reporter: Kenneth Jung
>            Priority: P2
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> In the 
> [BigQueryStorageStreamSource](https://github.com/apache/beam/blob/3bb232fb098700de408f574585dfe74bbaff7230/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryStorageStreamSource.java#L279),
>  we perform two RPCs during splitAtFraction: one to split the current stream 
> into primary and residual child streams, and a second to validate the 
> reader's current offset within the primary stream to ensure that the reader 
> has not advanced beyond the split point during the split process. For 
> sufficiently large streams -- particularly when combined with selective 
> predicate filters -- this process can take longer than the 2 minute limit 
> beyond which the Dataflow runtime will consider the worker to be lost and can 
> ultimately cause pipeline execution failures.
> The short-term solution is to implement a consistent deadline for both RPCs 
> which will fail the split operation if it takes too long. This does not 
> address the potential for sub-optimal parallelism and dynamic work 
> rebalancing, but it should at least prevent pipeline execution failures.



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