[SPARK-11191] [1.5] Can't create UDF's using hive thrift service - ASF JIRA

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Details

Type: Bug
Status: Resolved
Priority: Blocker
Resolution: Fixed
Affects Version/s: 1.5.0, 1.5.1
Fix Version/s: 1.5.3, 1.6.0
Component/s: SQL
Labels:
None

Target Version/s:

1.5.2, 1.5.3

Description

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:

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)

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

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)

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.