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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2020/03/17 08:34:00 UTC

[jira] [Updated] (SPARK-30108) Add robust accumulator for observable metrics

     [ https://issues.apache.org/jira/browse/SPARK-30108?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun updated SPARK-30108:
----------------------------------
    Affects Version/s:     (was: 3.0.0)
                       3.1.0

> Add robust accumulator for observable metrics
> ---------------------------------------------
>
>                 Key: SPARK-30108
>                 URL: https://issues.apache.org/jira/browse/SPARK-30108
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 3.1.0
>            Reporter: Herman van Hövell
>            Priority: Major
>
> Spark accumulators reflect the work that has been done, and not the data that has been processed. There are situations where one tuple can be processed multiple times, e.g.: task/stage retries, speculation, determination of ranges for global ordered, etc... For observed metrics we need the value of the accumulator to be based on the data and not on processing.
> The current aggregating accumulator is already robust to some of these issues (like task failure), but we need to add some additional checks to make sure it is fool proof.



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