[jira] [Commented] (SPARK-11191) [1.5] Can't create UDF's using hive thrift service
[
https://issues.apache.org/jira/browse/SPARK-11191?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14984377#comment-14984377
]
Study Hsueh commented on SPARK-11191:
-
This should be caused by builtin FunctionRegistry in 1.5.1
https://github.com/apache/spark/blob/v1.5.1/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala#L413
The FunctionRegistry in 1.4.1
https://github.com/apache/spark/blob/v1.4.1/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala#L377
> [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: 1.5.0, 1.5.1
>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
>
[jira] [Commented] (SPARK-11191) [1.5] Can't create UDF's using hive thrift service
[
https://issues.apache.org/jira/browse/SPARK-11191?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14984879#comment-14984879
]
Study Hsueh commented on SPARK-11191:
-
Ok, it looks like `FunctionRegistry.getFunctionInfo` does not contain permanent
and temporary functions information.
The SELECT clause lookups functions in the order:
1. underlying.lookupFunction (built-in FunctionRegistry)
2. FunctionRegistry.getFunctionInfo
> [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: 1.5.0, 1.5.1
>Reporter: David Ross
>Priority: Blocker
>
> 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.ThreadPool
[jira] [Commented] (SPARK-11191) [1.5] Can't create UDF's using hive thrift service
[
https://issues.apache.org/jira/browse/SPARK-11191?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15001809#comment-15001809
]
Study Hsueh commented on SPARK-11191:
-
I have wrote a workaround patch for this issue, but the patch doesn't work for
embedded metastore.
https://github.com/phstudy/spark/commit/b2e618863b733f9fe5dfc69fdb7bd9ab5379df07
> [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: 1.5.0, 1.5.1
>Reporter: David Ross
>Priority: Blocker
>
> 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.concu
[jira] [Commented] (SPARK-11191) [1.5] Can't create UDF's using hive thrift service
[
https://issues.apache.org/jira/browse/SPARK-11191?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15002208#comment-15002208
]
Study Hsueh commented on SPARK-11191:
-
I think you also need to lookup permanent user-defined functions in metadata
Hive for local/remote metastore service. This is a common use case for
hiveserver.
> [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: 1.5.0, 1.5.1
>Reporter: David Ross
>Priority: Blocker
>
> 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.ThreadPoolExec
[jira] [Commented] (SPARK-11191) [1.5] Can't create UDF's using hive thrift service
[
https://issues.apache.org/jira/browse/SPARK-11191?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15002462#comment-15002462
]
Study Hsueh commented on SPARK-11191:
-
I think this is a Spark ThriftServer issue, not spark SQL.
Currently, by default Spark ThriftServer will create an embedded metastore in
execution path, and you can also setup local/remote metastore service. For this
case, Spark ThriftServer should support accessing permanent user-defined
functions in the metastore.
And the Spark SQL document also says "In addition to the basic SQLContext, you
can also create a HiveContext, which provides a superset of the functionality
provided by the basic SQLContext. Additional features include the ability to
write queries using the more complete HiveQL parser, access to Hive UDFs, and
the ability to read data from Hive tables"
http://spark.apache.org/docs/latest/sql-programming-guide.html#starting-point-sqlcontext
> [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: 1.5.0, 1.5.1
>Reporter: David Ross
>Priority: Blocker
>
> 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$$anon$2.run(SparkExecuteStatementOperation.scala:171)
> at java.security.AccessController.doPrivileged(Native Method
[jira] [Commented] (SPARK-11191) [1.5] Can't create UDF's using hive thrift service
[
https://issues.apache.org/jira/browse/SPARK-11191?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15003574#comment-15003574
]
Study Hsueh commented on SPARK-11191:
-
I have implemented Hive persisted function lookup in this patch:
https://github.com/phstudy/spark/commit/b2e618863b733f9fe5dfc69fdb7bd9ab5379df07.
But I found it does not work for embedded metastore, embedded metastore only
allows single connection. Do you have any ideas?
> [1.5] Can't create UDF's using hive thrift service
> --
>
> Key: SPARK-11191
> URL: https://issues.apache.org/jira/browse/SPARK-11191
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.5.0, 1.5.1
>Reporter: David Ross
>Assignee: Cheng Lian
>Priority: Blocker
> Fix For: 1.6.0
>
>
> Since upgrading to spark 1.5 we've been unable to create and use UDF's when
> we run in thrift server mode.
> Our setup:
> We start the thrift-server running against yarn in client mode, (we've also
> built our own spark from github branch-1.5 with the following args: {{-Pyarn
> -Phive -Phive-thrifeserver}}
> If i run the following after connecting via JDBC (in this case via beeline):
> {{add jar 'hdfs://path/to/jar"}}
> (this command succeeds with no errors)
> {{CREATE TEMPORARY FUNCTION testUDF AS 'com.foo.class.UDF';}}
> (this command succeeds with no errors)
> {{select testUDF(col1) from table1;}}
> I get the following error in the logs:
> {code}
> org.apache.spark.sql.AnalysisException: undefined function testUDF; line 1
> pos 8
> at
> org.apache.spark.sql.hive.HiveFunctionRegistry$$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$$anon$1.run(SparkExecuteStatementOperation.scala:182)
> at
> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.Futu
[jira] [Commented] (SPARK-11191) [1.5] Can't create UDF's using hive thrift service
[
https://issues.apache.org/jira/browse/SPARK-11191?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15003586#comment-15003586
]
Study Hsueh commented on SPARK-11191:
-
This is my exception stacktrace.
{code}
13:34:49,728 ERROR Schema:125 - Failed initialising database.
Unable to open a test connection to the given database. JDBC url =
jdbc:derby:;databaseName=metastore_db;create=true, username = APP. Terminating
connection pool (set lazyInit to true if you expect to start your database
after your app). Original Exception: --
java.sql.SQLException: Failed to start database 'metastore_db' with class
loader org.apache.spark.sql.hive.client.IsolatedClientLoader$$anon$1@4c8d45cf,
see the next exception for details.
at
org.apache.derby.impl.jdbc.SQLExceptionFactory40.getSQLException(Unknown Source)
at org.apache.derby.impl.jdbc.Util.newEmbedSQLException(Unknown Source)
at org.apache.derby.impl.jdbc.Util.seeNextException(Unknown Source)
at org.apache.derby.impl.jdbc.EmbedConnection.bootDatabase(Unknown
Source)
at org.apache.derby.impl.jdbc.EmbedConnection.(Unknown Source)
at org.apache.derby.impl.jdbc.EmbedConnection40.(Unknown Source)
at org.apache.derby.jdbc.Driver40.getNewEmbedConnection(Unknown Source)
at org.apache.derby.jdbc.InternalDriver.connect(Unknown Source)
at org.apache.derby.jdbc.Driver20.connect(Unknown Source)
at org.apache.derby.jdbc.AutoloadedDriver.connect(Unknown Source)
at java.sql.DriverManager.getConnection(DriverManager.java:664)
at java.sql.DriverManager.getConnection(DriverManager.java:208)
at com.jolbox.bonecp.BoneCP.obtainRawInternalConnection(BoneCP.java:361)
at com.jolbox.bonecp.BoneCP.(BoneCP.java:416)
at
com.jolbox.bonecp.BoneCPDataSource.getConnection(BoneCPDataSource.java:120)
at
org.datanucleus.store.rdbms.ConnectionFactoryImpl$ManagedConnectionImpl.getConnection(ConnectionFactoryImpl.java:501)
at
org.datanucleus.store.rdbms.RDBMSStoreManager.(RDBMSStoreManager.java:298)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at
sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at
sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:422)
at
org.datanucleus.plugin.NonManagedPluginRegistry.createExecutableExtension(NonManagedPluginRegistry.java:631)
at
org.datanucleus.plugin.PluginManager.createExecutableExtension(PluginManager.java:301)
at
org.datanucleus.NucleusContext.createStoreManagerForProperties(NucleusContext.java:1187)
at org.datanucleus.NucleusContext.initialise(NucleusContext.java:356)
at
org.datanucleus.api.jdo.JDOPersistenceManagerFactory.freezeConfiguration(JDOPersistenceManagerFactory.java:775)
at
org.datanucleus.api.jdo.JDOPersistenceManagerFactory.createPersistenceManagerFactory(JDOPersistenceManagerFactory.java:333)
at
org.datanucleus.api.jdo.JDOPersistenceManagerFactory.getPersistenceManagerFactory(JDOPersistenceManagerFactory.java:202)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at javax.jdo.JDOHelper$16.run(JDOHelper.java:1965)
at java.security.AccessController.doPrivileged(Native Method)
at javax.jdo.JDOHelper.invoke(JDOHelper.java:1960)
at
javax.jdo.JDOHelper.invokeGetPersistenceManagerFactoryOnImplementation(JDOHelper.java:1166)
at javax.jdo.JDOHelper.getPersistenceManagerFactory(JDOHelper.java:808)
at javax.jdo.JDOHelper.getPersistenceManagerFactory(JDOHelper.java:701)
at
org.apache.hadoop.hive.metastore.ObjectStore.getPMF(ObjectStore.java:365)
at
org.apache.hadoop.hive.metastore.ObjectStore.getPersistenceManager(ObjectStore.java:394)
at
org.apache.hadoop.hive.metastore.ObjectStore.initialize(ObjectStore.java:291)
at
org.apache.hadoop.hive.metastore.ObjectStore.setConf(ObjectStore.java:258)
at
org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:73)
at
org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:133)
at
org.apache.hadoop.hive.metastore.RawStoreProxy.(RawStoreProxy.java:57)
at
org.apache.hadoop.hive.metastore.RawStoreProxy.getProxy(RawStoreProxy.java:66)
at
org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.newRawStore(HiveMetaStore.java:593)
at
org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.getMS(H
