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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/03/26 03:01:00 UTC
[jira] [Resolved] (SPARK-27238) In the same APP, maybe some hive
Parquet(ORC) tables can't use the built-in Parquet(ORC) reader and writer
[ https://issues.apache.org/jira/browse/SPARK-27238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-27238.
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Resolution: Won't Fix
> In the same APP, maybe some hive Parquet(ORC) tables can't use the built-in Parquet(ORC) reader and writer
> ----------------------------------------------------------------------------------------------------------
>
> Key: SPARK-27238
> URL: https://issues.apache.org/jira/browse/SPARK-27238
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: liuxian
> Priority: Minor
>
> In the same APP, TableA and TableB are both hive Parquet tables, but TableA can't use the built-in Parquet reader and writer.
> {color:#6a8759}In {color}{color:#333333}this situation, {color}_spark.sql.hive.convertMetastoreParquet_ {color:#333333}can't control this well, so I think we can add a fine-grained configuration to handle this case{color}
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