You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sandeep Katta (JIRA)" <ji...@apache.org> on 2019/08/09 04:34:00 UTC
[jira] [Commented] (SPARK-28670) [UDF] create permanent UDF does
not throw Exception if jar does not exist in HDFS path or Local
[ https://issues.apache.org/jira/browse/SPARK-28670?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16903559#comment-16903559 ]
Sandeep Katta commented on SPARK-28670:
---------------------------------------
[~abhishek.akg] thanks for raising this issue, I will post the PR ASAP
> [UDF] create permanent UDF does not throw Exception if jar does not exist in HDFS path or Local
> -----------------------------------------------------------------------------------------------
>
> Key: SPARK-28670
> URL: https://issues.apache.org/jira/browse/SPARK-28670
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: ABHISHEK KUMAR GUPTA
> Priority: Minor
>
> jdbc:hive2://10.18.18.214:23040/default> create function addm AS 'com.huawei.bigdata.hive.example.udf.AddDoublesUDF' using jar 'hdfs://hacluster/user/AddDoublesUDF1.jar';
> +---------+--+
> | Result |
> +---------+--+
> +---------+--+
> No rows selected (0.241 seconds)
> 0: jdbc:hive2://10.18.18.214:23040/default> create temporary function addm AS 'com.huawei.bigdata.hive.example.udf.AddDoublesUDF' using jar 'hdfs://hacluster/user/AddDoublesUDF1.jar';
> INFO : converting to local hdfs://hacluster/user/AddDoublesUDF1.jar
> ERROR : Failed to read external resource hdfs://hacluster/user/AddDoublesUDF1.jar
> java.lang.RuntimeException: Failed to read external resource hdfs://hacluster/user/AddDoublesUDF1.jar
> at org.apache.hadoop.hive.ql.session.SessionState.downloadResource(SessionState.java:1288)
--
This message was sent by Atlassian JIRA
(v7.6.14#76016)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org