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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:34:44 UTC

[jira] [Resolved] (SPARK-16089) Spark2.0 doesn't support the certain static partition SQL statment as "insert overwrite table targetTB PARTITION (partition field=xx) select field1,field2,...,partition field from sourceTB where partition field=xx" while Spark 1.6 supports

     [ https://issues.apache.org/jira/browse/SPARK-16089?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-16089.
----------------------------------
    Resolution: Incomplete

> Spark2.0 doesn't support the certain static partition SQL statment as "insert overwrite table targetTB PARTITION (partition field=xx) select field1,field2,...,partition field from sourceTB where partition field=xx" while Spark 1.6 supports
> -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-16089
>                 URL: https://issues.apache.org/jira/browse/SPARK-16089
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: marymwu
>            Priority: Minor
>              Labels: bulk-closed
>         Attachments: StaticPartitionSQLStatementError.png
>
>
> Spark2.0 doesn't support the certain static partition SQL statment as "insert overwrite table targetTB PARTITION (partition field=xx) select field1,field2,...,partition field from sourceTB where partition field=xx" while Spark 1.6 supports.
> Testcase:
> "insert overwrite table d_test_tpc_2g_txt.marytest1 PARTITION (dt='2016-06-21') select nid, price, dt from d_test_tpc_2g_txt.marytest where dt = '2016-06-21';"
> Error: org.apache.spark.sql.AnalysisException: unresolved operator 'InsertIntoTable MetastoreRelation d_test_tpc_2g_txt, marytest1, None, Map(dt -> Some(2016-06-21)), true, false; (state=,code=0)
> see attachment for reference.
> Note:
> The same SQL statement succeeded in Spark 1.6.



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