David Ross created SPARK-11191:
----------------------------------

             Summary: [1.5] Can't create UDF's using hive thrift service
                 Key: SPARK-11191
                 URL: https://issues.apache.org/jira/browse/SPARK-11191
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.5.1, 1.5.0
            Reporter: David Ross


Since upgrading to spark 1.5 we've been unable to create and use UDF's when we 
run in thrift server mode.

Our setup:
We start the thrift-server running against yarn in client mode, (we've also 
built our own spark from github branch-1.5 with the following args: {{-Pyarn 
-Phive -Phive-thrifeserver}}

If i run the following after connecting via JDBC (in this case via beeline):

{{add jar 'hdfs://path/to/jar"}}
(this command succeeds with no errors)

{{CREATE TEMPORARY FUNCTION testUDF AS 'com.foo.class.UDF';}}
(this command succeeds with no errors)

{{select testUDF(col1) from table1;}}

I get the following error in the logs:

{code}
org.apache.spark.sql.AnalysisException: undefined function testUDF; line 1 pos 8
        at 
org.apache.spark.sql.hive.HiveFunctionRegistry$$anonfun$lookupFunction$2$$anonfun$1.apply(hiveUDFs.scala:58)
        at 
org.apache.spark.sql.hive.HiveFunctionRegistry$$anonfun$lookupFunction$2$$anonfun$1.apply(hiveUDFs.scala:58)
        at scala.Option.getOrElse(Option.scala:120)
        at 
org.apache.spark.sql.hive.HiveFunctionRegistry$$anonfun$lookupFunction$2.apply(hiveUDFs.scala:57)
        at 
org.apache.spark.sql.hive.HiveFunctionRegistry$$anonfun$lookupFunction$2.apply(hiveUDFs.scala:53)
        at scala.util.Try.getOrElse(Try.scala:77)
        at 
org.apache.spark.sql.hive.HiveFunctionRegistry.lookupFunction(hiveUDFs.scala:53)
        at 
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$10$$anonfun$applyOrElse$5$$anonfun$applyOrElse$24.apply(Analyzer.scala:506)
        at 
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$10$$anonfun$applyOrElse$5$$anonfun$applyOrElse$24.apply(Analyzer.scala:506)
        at 
org.apache.spark.sql.catalyst.analysis.package$.withPosition(package.scala:48)
        at 
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$10$$anonfun$applyOrElse$5.applyOrElse(Analyzer.scala:505)
        at 
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$10$$anonfun$applyOrElse$5.applyOrElse(Analyzer.scala:502)
        at 
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:227)
        at 
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:227)
        at 
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:51)
        at 
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:226)
        at 
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:232)
        at 
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:232)
        at 
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:249)
{code}


(cutting the bulk for ease of report, more than happy to send the full output)

{code}
15/10/12 14:34:37 ERROR SparkExecuteStatementOperation: Error running hive 
query:
org.apache.hive.service.cli.HiveSQLException: 
org.apache.spark.sql.AnalysisException: undefined function testUDF; line 1 pos 
100
        at 
org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.runInternal(SparkExecuteStatementOperation.scala:259)
        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:1628)
        at 
org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:182)
        at 
java.util.concurrent.Executors$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)
{code}


When I ran the same against 1.4 it worked.

I've also changed the {{spark.sql.hive.metastore.version}} version to be 0.13 
(similar to what it was in 1.4) and 0.14 but I still get the same errors.

Also, in 1.5, when you run it against the {{spark-sql}} shell, it works.



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