[
https://issues.apache.org/jira/browse/SPARK-21101?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16051017#comment-16051017
]
Dayou Zhou commented on SPARK-21101:
------------------------------------
Hi [~srowen], thanks for the helpful and constructive comment. So yes I have
also tried starting STS using --jars option, i.e.
./start-thriftserver.sh --jars /path/to/udf.jar
and have also verified that by doing this, I no longer need to specify USING
JAR when creating my udf, i.e.
CREATE TEMPORARY FUNCTION myudtf AS 'com.foo.MyUdtf'
However, the bad news is that when I invoke the udf, I get exactly the same
error as before, i.e.
>> No handler for Hive UDF 'com.foo.MyUdtf': java.lang.NullPointerException;
>> line 1 pos 7
So I have reported what I wanted to report and I will leave the authorities to
decide whether this is a bug or a 'question' (even though I do have an opinion
on which). Thanks for your help.
> Error running Hive temporary UDTF on latest Spark 2.2
> -----------------------------------------------------
>
> Key: SPARK-21101
> URL: https://issues.apache.org/jira/browse/SPARK-21101
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.1
> Reporter: Dayou Zhou
>
> I'm using temporary UDTFs on Spark 2.2, e.g.
> CREATE TEMPORARY FUNCTION myudtf AS 'com.foo.MyUdtf' USING JAR
> 'hdfs:///path/to/udf.jar';
> But when I try to invoke it, I get the following error:
> {noformat}
> 17/06/14 19:43:50 ERROR SparkExecuteStatementOperation: Error running hive
> query:
> org.apache.hive.service.cli.HiveSQLException:
> org.apache.spark.sql.AnalysisException: No handler for Hive UDF
> 'com.foo.MyUdtf': java.lang.NullPointerException; line 1 pos 7
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:266)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:174)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:171)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:184)
> at
> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> {noformat}
> Any help appreciated, thanks.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
