You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Takeshi Yamamuro (Jira)" <ji...@apache.org> on 2019/12/28 05:38:00 UTC
[jira] [Resolved] (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:all-tabpanel ]
Takeshi Yamamuro resolved SPARK-28670.
--------------------------------------
Fix Version/s: 3.0.0
Assignee: Sandeep Katta
Resolution: Fixed
Resolved by https://github.com/apache/spark/pull/25399
> [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
> Assignee: Sandeep Katta
> Priority: Minor
> Fix For: 3.0.0
>
>
> 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
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org