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Posted to issues-all@impala.apache.org by "ASF subversion and git services (Jira)" <ji...@apache.org> on 2019/08/24 00:45:00 UTC

[jira] [Commented] (IMPALA-8885) Improve parquet version metadata error

    [ https://issues.apache.org/jira/browse/IMPALA-8885?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16914747#comment-16914747 ] 

ASF subversion and git services commented on IMPALA-8885:
---------------------------------------------------------

Commit af0e04f33bbf2e93b7676ed7768c335c49b195f2 in impala's branch refs/heads/master from Tim Armstrong
[ https://gitbox.apache.org/repos/asf?p=impala.git;h=af0e04f ]

IMPALA-8885: Improve Parquet version metadata error

Update the error message to make it more obvious that
the error could occur by trying to parse a non-Parquet
file as Parquet

Updated tests that depended on the error test.

Change-Id: I2b36586dba14a31a613d79a0e28efc9a5173e75d
Reviewed-on: http://gerrit.cloudera.org:8080/14126
Reviewed-by: Impala Public Jenkins <im...@cloudera.com>
Tested-by: Impala Public Jenkins <im...@cloudera.com>


> Improve parquet version metadata error
> --------------------------------------
>
>                 Key: IMPALA-8885
>                 URL: https://issues.apache.org/jira/browse/IMPALA-8885
>             Project: IMPALA
>          Issue Type: Improvement
>          Components: Backend
>            Reporter: Tim Armstrong
>            Assignee: Tim Armstrong
>            Priority: Major
>              Labels: supportability
>
> The error looks like this now:
> {noformat}
> File 'hdfs://nn/books/books1G.csv' has an invalid version number: .99 This could be due to stale metadata. Try running "refresh s3db.books_s3".
> {noformat}
> It seems to be reasonably common that this happens because a non-parquet file is being queried in a parquet table.
> The error message should say something like "File 'hdfs://nn/books/books1G.csv' has an invalid Parquet version number: .99 and does not appear to be a valid Parquet file. This could be due to stale metadata. Try running "refresh s3db.books_s3"



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