You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2016/10/09 02:06:21 UTC

[jira] [Closed] (SPARK-11523) spark_partition_id() considered invalid function

     [ https://issues.apache.org/jira/browse/SPARK-11523?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiao Li closed SPARK-11523.
---------------------------
    Resolution: Not A Problem

> spark_partition_id() considered invalid function
> ------------------------------------------------
>
>                 Key: SPARK-11523
>                 URL: https://issues.apache.org/jira/browse/SPARK-11523
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.1
>            Reporter: Simeon Simeonov
>              Labels: hive, sql, views
>
> {{spark_partition_id()}} works correctly in top-level {{SELECT}} statements but is not recognized in {{SELECT}} statements that define views. It seems DDL processing vs. execution in Spark SQL use two different parsers and/or environments.
> In the following examples, instead of the {{test_data}} table you can use any defined table name.
> A top-level statement works:
> {code}
> scala> ctx.sql("select spark_partition_id() as partition_id from test_data").show
> +------------+
> |partition_id|
> +------------+
> |           0|
> ...
> |           0|
> +------------+
> only showing top 20 rows
> {code}
> The same query in a view definition fails with {{Invalid function 'spark_partition_id'}}.
> {code}
> scala> ctx.sql("create view test_view as select spark_partition_id() as partition_id from test_data")
> 15/11/05 01:05:38 INFO ParseDriver: Parsing command: create view test_view as select spark_partition_id() as partition_id from test_data
> 15/11/05 01:05:38 INFO ParseDriver: Parse Completed
> 15/11/05 01:05:38 INFO PerfLogger: <PERFLOG method=Driver.run from=org.apache.hadoop.hive.ql.Driver>
> 15/11/05 01:05:38 INFO PerfLogger: <PERFLOG method=TimeToSubmit from=org.apache.hadoop.hive.ql.Driver>
> 15/11/05 01:05:38 INFO PerfLogger: <PERFLOG method=compile from=org.apache.hadoop.hive.ql.Driver>
> 15/11/05 01:05:38 INFO PerfLogger: <PERFLOG method=parse from=org.apache.hadoop.hive.ql.Driver>
> 15/11/05 01:05:38 INFO ParseDriver: Parsing command: create view test_view as select spark_partition_id() as partition_id from test_data
> 15/11/05 01:05:38 INFO ParseDriver: Parse Completed
> 15/11/05 01:05:38 INFO PerfLogger: </PERFLOG method=parse start=1446703538518 end=1446703538519 duration=1 from=org.apache.hadoop.hive.ql.Driver>
> 15/11/05 01:05:38 INFO PerfLogger: <PERFLOG method=semanticAnalyze from=org.apache.hadoop.hive.ql.Driver>
> 15/11/05 01:05:38 INFO CalcitePlanner: Starting Semantic Analysis
> 15/11/05 01:05:38 INFO CalcitePlanner: Creating view default.test_view position=12
> 15/11/05 01:05:38 INFO HiveMetaStore: 0: get_database: default
> 15/11/05 01:05:38 INFO audit: ugi=sim	ip=unknown-ip-addr	cmd=get_database: default
> 15/11/05 01:05:38 INFO CalcitePlanner: Completed phase 1 of Semantic Analysis
> 15/11/05 01:05:38 INFO CalcitePlanner: Get metadata for source tables
> 15/11/05 01:05:38 INFO HiveMetaStore: 0: get_table : db=default tbl=test_data
> 15/11/05 01:05:38 INFO audit: ugi=sim	ip=unknown-ip-addr	cmd=get_table : db=default tbl=test_data
> 15/11/05 01:05:38 INFO CalcitePlanner: Get metadata for subqueries
> 15/11/05 01:05:38 INFO CalcitePlanner: Get metadata for destination tables
> 15/11/05 01:05:38 INFO Context: New scratch dir is hdfs://localhost:9000/tmp/hive/sim/3fce9b7e-011f-4632-b673-e29067779fa0/hive_2015-11-05_01-05-38_518_4526721093949438849-1
> 15/11/05 01:05:38 INFO CalcitePlanner: Completed getting MetaData in Semantic Analysis
> 15/11/05 01:05:38 INFO BaseSemanticAnalyzer: Not invoking CBO because the statement doesn't have QUERY or EXPLAIN as root and not a CTAS; has create view
> 15/11/05 01:05:38 ERROR Driver: FAILED: SemanticException [Error 10011]: Line 1:32 Invalid function 'spark_partition_id'
> org.apache.hadoop.hive.ql.parse.SemanticException: Line 1:32 Invalid function 'spark_partition_id'
> 	at org.apache.hadoop.hive.ql.parse.TypeCheckProcFactory$DefaultExprProcessor.getXpathOrFuncExprNodeDesc(TypeCheckProcFactory.java:925)
> 	at org.apache.hadoop.hive.ql.parse.TypeCheckProcFactory$DefaultExprProcessor.process(TypeCheckProcFactory.java:1265)
> 	at org.apache.hadoop.hive.ql.lib.DefaultRuleDispatcher.dispatch(DefaultRuleDispatcher.java:90)
> 	at org.apache.hadoop.hive.ql.lib.DefaultGraphWalker.dispatchAndReturn(DefaultGraphWalker.java:95)
> 	at org.apache.hadoop.hive.ql.lib.DefaultGraphWalker.dispatch(DefaultGraphWalker.java:79)
> 	at org.apache.hadoop.hive.ql.lib.DefaultGraphWalker.walk(DefaultGraphWalker.java:133)
> 	at org.apache.hadoop.hive.ql.lib.DefaultGraphWalker.startWalking(DefaultGraphWalker.java:110)
> 	at org.apache.hadoop.hive.ql.parse.TypeCheckProcFactory.genExprNode(TypeCheckProcFactory.java:205)
> 	at org.apache.hadoop.hive.ql.parse.TypeCheckProcFactory.genExprNode(TypeCheckProcFactory.java:149)
> 	at org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.genAllExprNodeDesc(SemanticAnalyzer.java:10512)
> 	at org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.genExprNodeDesc(SemanticAnalyzer.java:10468)
> 	at org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.genSelectPlan(SemanticAnalyzer.java:3840)
> 	at org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.genSelectPlan(SemanticAnalyzer.java:3619)
> 	at org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.genPostGroupByBodyPlan(SemanticAnalyzer.java:8956)
> 	at org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.genBodyPlan(SemanticAnalyzer.java:8911)
> 	at org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.genPlan(SemanticAnalyzer.java:9756)
> 	at org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.genPlan(SemanticAnalyzer.java:9649)
> 	at org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.genOPTree(SemanticAnalyzer.java:10122)
> 	at org.apache.hadoop.hive.ql.parse.CalcitePlanner.genOPTree(CalcitePlanner.java:325)
> 	at org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.analyzeInternal(SemanticAnalyzer.java:10133)
> 	at org.apache.hadoop.hive.ql.parse.CalcitePlanner.analyzeInternal(CalcitePlanner.java:209)
> 	at org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.analyze(BaseSemanticAnalyzer.java:227)
> 	at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:424)
> 	at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:308)
> 	at org.apache.hadoop.hive.ql.Driver.compileInternal(Driver.java:1122)
> 	at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1170)
> 	at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1059)
> 	at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1049)
> 	at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:429)
> 	at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:418)
> 	at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$withHiveState$1.apply(ClientWrapper.scala:256)
> 	at org.apache.spark.sql.hive.client.ClientWrapper.retryLocked(ClientWrapper.scala:211)
> 	at org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:248)
> 	at org.apache.spark.sql.hive.client.ClientWrapper.runHive(ClientWrapper.scala:418)
> 	at org.apache.spark.sql.hive.client.ClientWrapper.runSqlHive(ClientWrapper.scala:408)
> 	at org.apache.spark.sql.hive.HiveContext.runSqlHive(HiveContext.scala:557)
> 	at org.apache.spark.sql.hive.execution.HiveNativeCommand.run(HiveNativeCommand.scala:33)
> 	at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57)
> 	at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57)
> 	at org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:69)
> 	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:140)
> 	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:138)
> 	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
> 	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138)
> 	at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:933)
> 	at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:933)
> 	at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:144)
> 	at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:129)
> 	at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:51)
> 	at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:725)
> 	at $line27.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:39)
> 	at $line27.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:44)
> 	at $line27.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:46)
> 	at $line27.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:48)
> 	at $line27.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:50)
> 	at $line27.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:52)
> 	at $line27.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:54)
> 	at $line27.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:56)
> 	at $line27.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:58)
> 	at $line27.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:60)
> 	at $line27.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:62)
> 	at $line27.$read$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:64)
> 	at $line27.$read$$iwC$$iwC$$iwC$$iwC.<init>(<console>:66)
> 	at $line27.$read$$iwC$$iwC$$iwC.<init>(<console>:68)
> 	at $line27.$read$$iwC$$iwC.<init>(<console>:70)
> 	at $line27.$read$$iwC.<init>(<console>:72)
> 	at $line27.$read.<init>(<console>:74)
> 	at $line27.$read$.<init>(<console>:78)
> 	at $line27.$read$.<clinit>(<console>)
> 	at $line27.$eval$.<init>(<console>:7)
> 	at $line27.$eval$.<clinit>(<console>)
> 	at $line27.$eval.$print(<console>)
> 	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> 	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> 	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> 	at java.lang.reflect.Method.invoke(Method.java:606)
> 	at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
> 	at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
> 	at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
> 	at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
> 	at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
> 	at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
> 	at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
> 	at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
> 	at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
> 	at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
> 	at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
> 	at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
> 	at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> 	at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> 	at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
> 	at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
> 	at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
> 	at org.apache.spark.repl.Main$.main(Main.scala:31)
> 	at org.apache.spark.repl.Main.main(Main.scala)
> 	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> 	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> 	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> 	at java.lang.reflect.Method.invoke(Method.java:606)
> 	at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
> 	at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
> 	at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
> 	at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
> 	at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> 15/11/05 01:05:38 INFO PerfLogger: </PERFLOG method=compile start=1446703538518 end=1446703538603 duration=85 from=org.apache.hadoop.hive.ql.Driver>
> 15/11/05 01:05:38 INFO PerfLogger: <PERFLOG method=releaseLocks from=org.apache.hadoop.hive.ql.Driver>
> 15/11/05 01:05:38 INFO PerfLogger: </PERFLOG method=releaseLocks start=1446703538603 end=1446703538603 duration=0 from=org.apache.hadoop.hive.ql.Driver>
> 15/11/05 01:05:38 ERROR ClientWrapper:
> ======================
> HIVE FAILURE OUTPUT
> ======================
> SET hive.support.sql11.reserved.keywords=false
> FAILED: SemanticException [Error 10011]: Line 5:7 Invalid function 'spark_partition_id'
> FAILED: SemanticException [Error 10011]: Line 1:32 Invalid function 'spark_partition_id'
> ======================
> END HIVE FAILURE OUTPUT
> ======================
> org.apache.spark.sql.execution.QueryExecutionException: FAILED: SemanticException [Error 10011]: Line 1:32 Invalid function 'spark_partition_id'
> 	at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:433)
> 	at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:418)
> 	at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$withHiveState$1.apply(ClientWrapper.scala:256)
> 	at org.apache.spark.sql.hive.client.ClientWrapper.retryLocked(ClientWrapper.scala:211)
> 	at org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:248)
> 	at org.apache.spark.sql.hive.client.ClientWrapper.runHive(ClientWrapper.scala:418)
> 	at org.apache.spark.sql.hive.client.ClientWrapper.runSqlHive(ClientWrapper.scala:408)
> 	at org.apache.spark.sql.hive.HiveContext.runSqlHive(HiveContext.scala:557)
> 	at org.apache.spark.sql.hive.execution.HiveNativeCommand.run(HiveNativeCommand.scala:33)
> 	at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57)
> 	at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57)
> 	at org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:69)
> 	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:140)
> 	at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:138)
> 	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
> 	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138)
> 	at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:933)
> 	at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:933)
> 	at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:144)
> 	at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:129)
> 	at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:51)
> 	at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:725)
> 	at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:39)
> 	at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:44)
> 	at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:46)
> 	at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:48)
> 	at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:50)
> 	at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:52)
> 	at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:54)
> 	at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:56)
> 	at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:58)
> 	at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:60)
> 	at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:62)
> 	at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:64)
> 	at $iwC$$iwC$$iwC$$iwC.<init>(<console>:66)
> 	at $iwC$$iwC$$iwC.<init>(<console>:68)
> 	at $iwC$$iwC.<init>(<console>:70)
> 	at $iwC.<init>(<console>:72)
> 	at <init>(<console>:74)
> 	at .<init>(<console>:78)
> 	at .<clinit>(<console>)
> 	at .<init>(<console>:7)
> 	at .<clinit>(<console>)
> 	at $print(<console>)
> 	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> 	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> 	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> 	at java.lang.reflect.Method.invoke(Method.java:606)
> 	at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
> 	at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
> 	at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
> 	at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
> 	at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
> 	at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
> 	at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
> 	at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
> 	at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
> 	at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
> 	at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
> 	at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
> 	at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> 	at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> 	at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
> 	at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
> 	at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
> 	at org.apache.spark.repl.Main$.main(Main.scala:31)
> 	at org.apache.spark.repl.Main.main(Main.scala)
> 	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> 	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> 	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> 	at java.lang.reflect.Method.invoke(Method.java:606)
> 	at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
> 	at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
> 	at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
> 	at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
> 	at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org