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Posted to issues@spark.apache.org by "Mathew Wicks (JIRA)" <ji...@apache.org> on 2019/05/24 02:47:01 UTC

[jira] [Commented] (SPARK-16544) Support for conversion from compatible schema for Parquet data source when data types are not matched

    [ https://issues.apache.org/jira/browse/SPARK-16544?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16847193#comment-16847193 ] 

Mathew Wicks commented on SPARK-16544:
--------------------------------------

This only seems to be an issue if "spark.sql.parquet.writeLegacyFormat=false" when I set "spark.sql.parquet.writeLegacyFormat=true" this issue goes away.

(For Hive 1.1.0 and Spark 2.4.3)

> Support for conversion from compatible schema for Parquet data source when data types are not matched
> -----------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-16544
>                 URL: https://issues.apache.org/jira/browse/SPARK-16544
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 2.1.0, 2.2.0
>            Reporter: Hyukjin Kwon
>            Priority: Major
>
> This deals with scenario 1 - case - 1 from the parent issue.



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