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https://issues.apache.org/jira/browse/IMPALA-8714?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tim Armstrong updated IMPALA-8714:
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    Description: 
A query can fail for various reasons when run in Impala:
- analysis failure (e.g. SQL syntax mistake)
- access right issue (e.g. no privilege for certain ops on a table)
- memory limit exceeded
- scratch limit exceeded
- executor crashes
- rpc failures
- corrupted data files 

This JIRA tracks the effort to explicitly classify query failures into some 
high level categories and expose them in the metrics. This should provide us a 
clearer view of what types of failures contribute the most to bad user 
experience for a given cluster.

  was:
A query can fail for various reasons when run in Impala:
- analysis failure (e.g. SQL syntax mistake)
- access right issue (e.g. no privilege for certain ops on a table)
- memory limit exceeded
- executor crashes
- rpc failures
- corrupted data files 

This JIRA tracks the effort to explicitly classify query failures into some 
high level categories and expose them in the metrics. This should provide us a 
clearer view of what types of failures contribute the most to bad user 
experience for a given cluster.


> Metrics for tracking query failure reasons
> ------------------------------------------
>
>                 Key: IMPALA-8714
>                 URL: https://issues.apache.org/jira/browse/IMPALA-8714
>             Project: IMPALA
>          Issue Type: Improvement
>          Components: Backend
>    Affects Versions: Impala 3.3.0
>            Reporter: Michael Ho
>            Priority: Major
>              Labels: observability
>
> A query can fail for various reasons when run in Impala:
> - analysis failure (e.g. SQL syntax mistake)
> - access right issue (e.g. no privilege for certain ops on a table)
> - memory limit exceeded
> - scratch limit exceeded
> - executor crashes
> - rpc failures
> - corrupted data files 
> This JIRA tracks the effort to explicitly classify query failures into some 
> high level categories and expose them in the metrics. This should provide us 
> a clearer view of what types of failures contribute the most to bad user 
> experience for a given cluster.



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