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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/09/24 06:50:04 UTC
[jira] [Assigned] (SPARK-10709) When loading a json dataset as a
data frame, if the input path is wrong, the error message is very confusing
[ https://issues.apache.org/jira/browse/SPARK-10709?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-10709:
------------------------------------
Assignee: (was: Apache Spark)
> When loading a json dataset as a data frame, if the input path is wrong, the error message is very confusing
> ------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-10709
> URL: https://issues.apache.org/jira/browse/SPARK-10709
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Yin Huai
>
> If you do something like {{sqlContext.read.json("a wrong path")}}, when we actually read data, the error message is
> {code}
> java.io.IOException: No input paths specified in job
> at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:198)
> at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:270)
> at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:207)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.ShuffleDependency.<init>(Dependency.scala:91)
> at org.apache.spark.sql.execution.ShuffledRowRDD.getDependencies(ShuffledRowRDD.scala:59)
> at org.apache.spark.rdd.RDD$$anonfun$dependencies$2.apply(RDD.scala:226)
> at org.apache.spark.rdd.RDD$$anonfun$dependencies$2.apply(RDD.scala:224)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.dependencies(RDD.scala:224)
> at org.apache.spark.scheduler.DAGScheduler.visit$2(DAGScheduler.scala:427)
> at org.apache.spark.scheduler.DAGScheduler.getAncestorShuffleDependencies(DAGScheduler.scala:442)
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$getShuffleMapStage(DAGScheduler.scala:301)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$visit$1$1.apply(DAGScheduler.scala:403)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$visit$1$1.apply(DAGScheduler.scala:400)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at org.apache.spark.scheduler.DAGScheduler.visit$1(DAGScheduler.scala:400)
> at org.apache.spark.scheduler.DAGScheduler.getParentStages(DAGScheduler.scala:412)
> at org.apache.spark.scheduler.DAGScheduler.getParentStagesAndId(DAGScheduler.scala:315)
> at org.apache.spark.scheduler.DAGScheduler.newResultStage(DAGScheduler.scala:350)
> at org.apache.spark.scheduler.DAGScheduler.handleJobSubmitted(DAGScheduler.scala:846)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1637)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1629)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> java.io.IOException: No input paths specified in job
> at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:198)
> at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:270)
> at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:207)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.ShuffleDependency.<init>(Dependency.scala:91)
> at org.apache.spark.sql.execution.ShuffledRowRDD.getDependencies(ShuffledRowRDD.scala:59)
> at org.apache.spark.rdd.RDD$$anonfun$dependencies$2.apply(RDD.scala:226)
> at org.apache.spark.rdd.RDD$$anonfun$dependencies$2.apply(RDD.scala:224)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.dependencies(RDD.scala:224)
> at org.apache.spark.scheduler.DAGScheduler.visit$2(DAGScheduler.scala:427)
> at org.apache.spark.scheduler.DAGScheduler.getAncestorShuffleDependencies(DAGScheduler.scala:442)
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$getShuffleMapStage(DAGScheduler.scala:301)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$visit$1$1.apply(DAGScheduler.scala:403)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$visit$1$1.apply(DAGScheduler.scala:400)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at org.apache.spark.scheduler.DAGScheduler.visit$1(DAGScheduler.scala:400)
> at org.apache.spark.scheduler.DAGScheduler.getParentStages(DAGScheduler.scala:412)
> at org.apache.spark.scheduler.DAGScheduler.getParentStagesAndId(DAGScheduler.scala:315)
> at org.apache.spark.scheduler.DAGScheduler.newResultStage(DAGScheduler.scala:350)
> at org.apache.spark.scheduler.DAGScheduler.handleJobSubmitted(DAGScheduler.scala:846)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1637)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1629)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1823)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1943)
> at org.apache.spark.rdd.RDD$$anonfun$reduce$1.apply(RDD.scala:997)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:306)
> at org.apache.spark.rdd.RDD.reduce(RDD.scala:979)
> at org.apache.spark.rdd.RDD$$anonfun$takeOrdered$1.apply(RDD.scala:1360)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:306)
> at org.apache.spark.rdd.RDD.takeOrdered(RDD.scala:1347)
> at org.apache.spark.sql.execution.TakeOrderedAndProject.collectData(basicOperators.scala:257)
> at org.apache.spark.sql.execution.TakeOrderedAndProject.executeCollect(basicOperators.scala:263)
> at org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1399)
> at org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1399)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
> at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:1917)
> at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1398)
> at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1328)
> at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1391)
> at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:178)
> at org.apache.spark.sql.DataFrame.show(DataFrame.scala:402)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:37)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:42)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:44)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:46)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:48)
> at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:50)
> at $iwC$$iwC$$iwC$$iwC.<init>(<console>:52)
> at $iwC$$iwC$$iwC.<init>(<console>:54)
> at $iwC$$iwC.<init>(<console>:56)
> at $iwC.<init>(<console>:58)
> at <init>(<console>:60)
> at .<init>(<console>:64)
> at .<clinit>(<console>)
> at .<init>(<console>:7)
> at .<clinit>(<console>)
> at $print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
> at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
> at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
> at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
> at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
> at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
> at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
> at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$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)
> {code}
> This message is very confusing.
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