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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2015/01/07 20:18:35 UTC
[jira] [Commented] (SPARK-5117) Hive Generic UDFs don't cast
correctly
[ https://issues.apache.org/jira/browse/SPARK-5117?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14268049#comment-14268049 ]
Michael Armbrust commented on SPARK-5117:
-----------------------------------------
Oh, okay. Thanks for investigating!
Its annoying that hive makes breaking changes like this. We should probably consider writing our own UDF replacements once the UDF framework is cleaned up.
> Hive Generic UDFs don't cast correctly
> --------------------------------------
>
> Key: SPARK-5117
> URL: https://issues.apache.org/jira/browse/SPARK-5117
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.2.0
> Reporter: Michael Armbrust
> Assignee: Cheng Hao
> Priority: Blocker
>
> Here's a test cast that is failing in master:
> {code}
> createQueryTest("generic udf casting",
> """SELECT LPAD("test",5, 0) FROM src LIMIT 1""")
> {code}
> This appears to be a regression from Spark 1.1
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