Hi Trystan I am facing the same issue. It only appears with the thrift server, the same call works fine via the spark-sql shell. Do you have any workarounds and have you filed a JIRA/bug for the same?
Regards Deenar On 12 October 2015 at 18:01, Trystan Leftwich <trys...@atscale.com> wrote: > 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 > >
