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Posted to issues@spark.apache.org by "Wenchen Fan (JIRA)" <ji...@apache.org> on 2016/11/24 12:40:59 UTC

[jira] [Comment Edited] (SPARK-18482) make sure Spark can access the table metadata created by older version of spark

    [ https://issues.apache.org/jira/browse/SPARK-18482?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15693057#comment-15693057 ] 

Wenchen Fan edited comment on SPARK-18482 at 11/24/16 12:40 PM:
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~I think we should add test case by case, i.e. identify patches that have external behavior changes and write test for them.~

This is too fragile, we should create different kinds of tables with older version of spark(e.g. 2.0), and make sure they can work in future versions.


was (Author: cloud_fan):
I think we should add test case by case, i.e. identify patches that have external behavior changes and write test for them.

> make sure Spark can access the table metadata created by older version of spark
> -------------------------------------------------------------------------------
>
>                 Key: SPARK-18482
>                 URL: https://issues.apache.org/jira/browse/SPARK-18482
>             Project: Spark
>          Issue Type: Test
>          Components: SQL
>            Reporter: Wenchen Fan
>
> In Spark 2.1, the way of storing table metadata into Hive metastore has been changed a lot. e.g. no runtime schema inference, store partition columns, store schema for hive tables, etc. We should add compatibility tests for them



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