Hi everyone,
Since upgrading to spark 1.5 I'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$$anonfun$4.apply(TreeNode.scala:249)
.
. (cutting the bulk for ease of email, more than happy to send the full
output)
.
15/10/12 14:34:37 ERROR SparkExecuteStatementOperation: Error running hive
query:
org.apache.hive.service.cli.HiveSQLException:
org.apache.spark.sql.AnalysisException: undefined function testUDF; line 1
pos 100
at
org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.runInternal(SparkExecuteStatementOperation.scala:259)
at
org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$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.
Any suggestions?
Thanks,
Trystan
