It is fixed in 1.5.3 https://issues.apache.org/jira/browse/SPARK-11191
On Wed, Dec 9, 2015 at 12:58 AM, Deenar Toraskar <deenar.toras...@gmail.com> wrote: > 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 >> >> > -- Best Regards Jeff Zhang
