[ https://issues.apache.org/jira/browse/SPARK-13024?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Shixiong Zhu updated SPARK-13024: --------------------------------- Component/s: (was: Streaming) (was: SQL) PySpark > Streaming RDD cannot work with SQLContext > ----------------------------------------- > > Key: SPARK-13024 > URL: https://issues.apache.org/jira/browse/SPARK-13024 > Project: Spark > Issue Type: Bug > Components: PySpark > Reporter: Shixiong Zhu > Attachments: bug.py > > > Run the attach codes will throw the following exception > {code} > java.lang.IllegalArgumentException: requirement failed > at scala.Predef$.require(Predef.scala:221) > at > org.apache.spark.sql.catalyst.analysis.UnresolvedStar.expand(unresolved.scala:200) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$10$$anonfun$applyOrElse$16.apply(Analyzer.scala:354) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$10$$anonfun$applyOrElse$16.apply(Analyzer.scala:353) > at > scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251) > at > scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251) > at scala.collection.immutable.List.foreach(List.scala:318) > at > scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251) > at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$10.applyOrElse(Analyzer.scala:353) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$10.applyOrElse(Analyzer.scala:347) > at > org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:57) > at > org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:57) > at > org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70) > at > org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:56) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.apply(Analyzer.scala:347) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.apply(Analyzer.scala:328) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:83) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:80) > at > scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:111) > at scala.collection.immutable.List.foldLeft(List.scala:84) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:80) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:72) > at scala.collection.immutable.List.foreach(List.scala:318) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:72) > at > org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:36) > at > org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:36) > at > org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:34) > at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:129) > at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:48) > at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:802) > 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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) > at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381) > at py4j.Gateway.invoke(Gateway.java:290) > at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133) > at py4j.commands.CallCommand.execute(CallCommand.java:79) > at py4j.GatewayConnection.run(GatewayConnection.java:209) > at java.lang.Thread.run(Thread.java:745) > {code} > I manually added try-catch in `SQLContext.sql` and log the error to get the > above stack trace. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org