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Posted to issues@flink.apache.org by "Flink Jira Bot (Jira)" <ji...@apache.org> on 2021/11/17 10:45:00 UTC

[jira] [Updated] (FLINK-20945) flink hive insert heap out of memory

     [ https://issues.apache.org/jira/browse/FLINK-20945?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Flink Jira Bot updated FLINK-20945:
-----------------------------------
    Labels: auto-deprioritized-major stale-minor  (was: auto-deprioritized-major)

I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help the community manage its development. I see this issues has been marked as Minor but is unassigned and neither itself nor its Sub-Tasks have been updated for 180 days. I have gone ahead and marked it "stale-minor". If this ticket is still Minor, please either assign yourself or give an update. Afterwards, please remove the label or in 7 days the issue will be deprioritized.


> flink hive insert heap out of memory
> ------------------------------------
>
>                 Key: FLINK-20945
>                 URL: https://issues.apache.org/jira/browse/FLINK-20945
>             Project: Flink
>          Issue Type: Improvement
>          Components: Table SQL / Ecosystem
>         Environment: flink 1.12.0 
> hive-exec 2.3.5
>            Reporter: Bruce GAO
>            Priority: Minor
>              Labels: auto-deprioritized-major, stale-minor
>
> when using flink sql to insert into hive from kafka, heap out of memory occrus randomly.
> Hive table using year/month/day/hour as partition,  it seems the max heap space needed is corresponded to active partition number(according to kafka message disordered and delay). which means if partition number increases, the heap space needed also increase, may cause the heap out of memory.
> when write record, is it possible to take the whole heap space usage into account in checkBlockSizeReached, or some other method to avoid OOM?



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