[
https://issues.apache.org/jira/browse/SPARK-28990?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
fengchaoge updated SPARK-28990:
-------------------------------
Description:
h6. SparkSQL create table as select from one table which may not exists throw
exception like "org.apache.spark.sql.catalyst.analysis.UnresolvedException:
Invalid call to toAttribute on unresolved object, tree: *" ,this is not
friendly,spark user may have no idea about what's wrong.
h6. Simple sql can reproduce it，like this：
^create table default.spark as select * from default.dual;^
~spark-sql (default)> create table default.spark as select * from default.dual;~
~2019-09-05 16:27:24,127 INFO (main) [Logging.scala:logInfo(54)] - Parsing
command: create table default.spark as select * from default.dual~
~2019-09-05 16:27:24,772 ERROR (main) [Logging.scala:logError(91)] - Failed in
[create table default.spark as select * from default.dual]~
~org.apache.spark.sql.catalyst.analysis.UnresolvedException: Invalid call to
toAttribute on unresolved object, tree: *~
~at
org.apache.spark.sql.catalyst.analysis.Star.toAttribute(unresolved.scala:245)~
~at
org.apache.spark.sql.catalyst.plans.logical.Project$$anonfun$output$1.apply(basicLogicalOperators.scala:52)~
~at
org.apache.spark.sql.catalyst.plans.logical.Project$$anonfun$output$1.apply(basicLogicalOperators.scala:52)~
~at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)~
~at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)~
~at scala.collection.immutable.List.foreach(List.scala:392)~
~at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)~
~at scala.collection.immutable.List.map(List.scala:296)~
~at
org.apache.spark.sql.catalyst.plans.logical.Project.output(basicLogicalOperators.scala:52)~
~at
org.apache.spark.sql.hive.HiveAnalysis$$anonfun$apply$3.applyOrElse(HiveStrategies.scala:160)~
~at
org.apache.spark.sql.hive.HiveAnalysis$$anonfun$apply$3.applyOrElse(HiveStrategies.scala:148)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1$$anonfun$2.apply(AnalysisHelper.scala:108)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1$$anonfun$2.apply(AnalysisHelper.scala:108)~
~at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1.apply(AnalysisHelper.scala:107)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1.apply(AnalysisHelper.scala:106)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:194)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.resolveOperatorsDown(AnalysisHelper.scala:106)~
~at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsDown(LogicalPlan.scala:29)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.resolveOperators(AnalysisHelper.scala:73)~
~at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:29)~
~at org.apache.spark.sql.hive.HiveAnalysis$.apply(HiveStrategies.scala:148)~
~at org.apache.spark.sql.hive.HiveAnalysis$.apply(HiveStrategies.scala:147)~
~at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:87)~
~at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:84)~
~at
scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:57)~
~at
scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqOptimized.scala:66)~
~at scala.collection.mutable.ArrayBuffer.foldLeft(ArrayBuffer.scala:48)~
~at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:84)~
~at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:76)~
~at scala.collection.immutable.List.foreach(List.scala:392)~
~at
org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:76)~
~at
org.apache.spark.sql.catalyst.analysis.Analyzer.org$apache$spark$sql$catalyst$analysis$Analyzer$$executeSameContext(Analyzer.scala:127)~
~at
org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:121)~
~at
org.apache.spark.sql.catalyst.analysis.Analyzer$$anonfun$executeAndCheck$1.apply(Analyzer.scala:106)~
~at
org.apache.spark.sql.catalyst.analysis.Analyzer$$anonfun$executeAndCheck$1.apply(Analyzer.scala:105)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:201)~
~at
org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:105)~
~at
org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:57)~
~at
org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:55)~
~at
org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:47)~
~at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:78)~
~at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:642)~
~at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694)~
~at
org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:70)~
~at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:371)~
~at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376)~
~at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:274)~
~at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)~
~at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)~
~at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)~
~at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)~
~at java.lang.reflect.Method.invoke(Method.java:498)~
~at
org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)~
~at
org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:849)~
~at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:167)~
~at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:195)~
~at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)~
~at
org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:924)~
~at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:933)~
~at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)~
was:
SparkSQL create table as select from one table which may not exists throw
exception like "org.apache.spark.sql.catalyst.analysis.UnresolvedException:
Invalid call to toAttribute on unresolved object, tree: *" ,this is not
friendly,spark user may have no idea about what's wrong.
Simple sql can reproduce it，like this：
create table default.spark as select * from default.dual;
~spark-sql (default)> create table default.spark as select * from default.dual;~
~2019-09-05 16:27:24,127 INFO (main) [Logging.scala:logInfo(54)] - Parsing
command: create table default.spark as select * from default.dual~
~2019-09-05 16:27:24,772 ERROR (main) [Logging.scala:logError(91)] - Failed in
[create table default.spark as select * from default.dual]~
~org.apache.spark.sql.catalyst.analysis.UnresolvedException: Invalid call to
toAttribute on unresolved object, tree: *~
~at
org.apache.spark.sql.catalyst.analysis.Star.toAttribute(unresolved.scala:245)~
~at
org.apache.spark.sql.catalyst.plans.logical.Project$$anonfun$output$1.apply(basicLogicalOperators.scala:52)~
~at
org.apache.spark.sql.catalyst.plans.logical.Project$$anonfun$output$1.apply(basicLogicalOperators.scala:52)~
~at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)~
~at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)~
~at scala.collection.immutable.List.foreach(List.scala:392)~
~at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)~
~at scala.collection.immutable.List.map(List.scala:296)~
~at
org.apache.spark.sql.catalyst.plans.logical.Project.output(basicLogicalOperators.scala:52)~
~at
org.apache.spark.sql.hive.HiveAnalysis$$anonfun$apply$3.applyOrElse(HiveStrategies.scala:160)~
~at
org.apache.spark.sql.hive.HiveAnalysis$$anonfun$apply$3.applyOrElse(HiveStrategies.scala:148)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1$$anonfun$2.apply(AnalysisHelper.scala:108)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1$$anonfun$2.apply(AnalysisHelper.scala:108)~
~at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1.apply(AnalysisHelper.scala:107)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1.apply(AnalysisHelper.scala:106)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:194)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.resolveOperatorsDown(AnalysisHelper.scala:106)~
~at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsDown(LogicalPlan.scala:29)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.resolveOperators(AnalysisHelper.scala:73)~
~at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:29)~
~at org.apache.spark.sql.hive.HiveAnalysis$.apply(HiveStrategies.scala:148)~
~at org.apache.spark.sql.hive.HiveAnalysis$.apply(HiveStrategies.scala:147)~
~at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:87)~
~at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:84)~
~at
scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:57)~
~at
scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqOptimized.scala:66)~
~at scala.collection.mutable.ArrayBuffer.foldLeft(ArrayBuffer.scala:48)~
~at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:84)~
~at
org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:76)~
~at scala.collection.immutable.List.foreach(List.scala:392)~
~at
org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:76)~
~at
org.apache.spark.sql.catalyst.analysis.Analyzer.org$apache$spark$sql$catalyst$analysis$Analyzer$$executeSameContext(Analyzer.scala:127)~
~at
org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:121)~
~at
org.apache.spark.sql.catalyst.analysis.Analyzer$$anonfun$executeAndCheck$1.apply(Analyzer.scala:106)~
~at
org.apache.spark.sql.catalyst.analysis.Analyzer$$anonfun$executeAndCheck$1.apply(Analyzer.scala:105)~
~at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:201)~
~at
org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:105)~
~at
org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:57)~
~at
org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:55)~
~at
org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:47)~
~at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:78)~
~at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:642)~
~at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694)~
~at
org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:70)~
~at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:371)~
~at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376)~
~at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:274)~
~at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)~
~at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)~
~at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)~
~at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)~
~at java.lang.reflect.Method.invoke(Method.java:498)~
~at
org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)~
~at
org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:849)~
~at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:167)~
~at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:195)~
~at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)~
~at
org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:924)~
~at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:933)~
~at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)~
> SparkSQL invalid call to toAttribute on unresolved object, tree: *
> ------------------------------------------------------------------
>
> Key: SPARK-28990
> URL: https://issues.apache.org/jira/browse/SPARK-28990
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.3
> Environment: Any
> Reporter: fengchaoge
> Priority: Major
> Fix For: 2.4.4
>
>
> h6. SparkSQL create table as select from one table which may not exists throw
> exception like "org.apache.spark.sql.catalyst.analysis.UnresolvedException:
> Invalid call to toAttribute on unresolved object, tree: *" ,this is not
> friendly,spark user may have no idea about what's wrong.
> h6. Simple sql can reproduce it，like this：
> ^create table default.spark as select * from default.dual;^
> ~spark-sql (default)> create table default.spark as select * from
> default.dual;~
> ~2019-09-05 16:27:24,127 INFO (main) [Logging.scala:logInfo(54)] - Parsing
> command: create table default.spark as select * from default.dual~
> ~2019-09-05 16:27:24,772 ERROR (main) [Logging.scala:logError(91)] - Failed
> in [create table default.spark as select * from default.dual]~
> ~org.apache.spark.sql.catalyst.analysis.UnresolvedException: Invalid call to
> toAttribute on unresolved object, tree: *~
> ~at
> org.apache.spark.sql.catalyst.analysis.Star.toAttribute(unresolved.scala:245)~
> ~at
> org.apache.spark.sql.catalyst.plans.logical.Project$$anonfun$output$1.apply(basicLogicalOperators.scala:52)~
> ~at
> org.apache.spark.sql.catalyst.plans.logical.Project$$anonfun$output$1.apply(basicLogicalOperators.scala:52)~
> ~at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)~
> ~at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)~
> ~at scala.collection.immutable.List.foreach(List.scala:392)~
> ~at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)~
> ~at scala.collection.immutable.List.map(List.scala:296)~
> ~at
> org.apache.spark.sql.catalyst.plans.logical.Project.output(basicLogicalOperators.scala:52)~
> ~at
> org.apache.spark.sql.hive.HiveAnalysis$$anonfun$apply$3.applyOrElse(HiveStrategies.scala:160)~
> ~at
> org.apache.spark.sql.hive.HiveAnalysis$$anonfun$apply$3.applyOrElse(HiveStrategies.scala:148)~
> ~at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1$$anonfun$2.apply(AnalysisHelper.scala:108)~
> ~at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1$$anonfun$2.apply(AnalysisHelper.scala:108)~
> ~at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)~
> ~at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1.apply(AnalysisHelper.scala:107)~
> ~at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsDown$1.apply(AnalysisHelper.scala:106)~
> ~at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:194)~
> ~at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.resolveOperatorsDown(AnalysisHelper.scala:106)~
> ~at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsDown(LogicalPlan.scala:29)~
> ~at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.resolveOperators(AnalysisHelper.scala:73)~
> ~at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:29)~
> ~at org.apache.spark.sql.hive.HiveAnalysis$.apply(HiveStrategies.scala:148)~
> ~at org.apache.spark.sql.hive.HiveAnalysis$.apply(HiveStrategies.scala:147)~
> ~at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:87)~
> ~at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:84)~
> ~at
> scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:57)~
> ~at
> scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqOptimized.scala:66)~
> ~at scala.collection.mutable.ArrayBuffer.foldLeft(ArrayBuffer.scala:48)~
> ~at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:84)~
> ~at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:76)~
> ~at scala.collection.immutable.List.foreach(List.scala:392)~
> ~at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:76)~
> ~at
> org.apache.spark.sql.catalyst.analysis.Analyzer.org$apache$spark$sql$catalyst$analysis$Analyzer$$executeSameContext(Analyzer.scala:127)~
> ~at
> org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:121)~
> ~at
> org.apache.spark.sql.catalyst.analysis.Analyzer$$anonfun$executeAndCheck$1.apply(Analyzer.scala:106)~
> ~at
> org.apache.spark.sql.catalyst.analysis.Analyzer$$anonfun$executeAndCheck$1.apply(Analyzer.scala:105)~
> ~at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:201)~
> ~at
> org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:105)~
> ~at
> org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:57)~
> ~at
> org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:55)~
> ~at
> org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:47)~
> ~at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:78)~
> ~at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:642)~
> ~at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694)~
> ~at
> org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:70)~
> ~at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:371)~
> ~at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376)~
> ~at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:274)~
> ~at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)~
> ~at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)~
> ~at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)~
> ~at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)~
> ~at java.lang.reflect.Method.invoke(Method.java:498)~
> ~at
> org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)~
> ~at
> org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:849)~
> ~at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:167)~
> ~at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:195)~
> ~at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)~
> ~at
> org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:924)~
> ~at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:933)~
> ~at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)~
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