Is the string of the above JSON object in the same line? jsonFile requires
that every line is a JSON object or an array of JSON objects.
On Mon, Mar 2, 2015 at 11:28 AM, kpeng1 <kpe...@gmail.com> wrote:
> Hi All,
>
> I am currently having issues reading in a json file using spark sql's api.
> Here is what the json file looks like:
> {
> "namespace": "spacey",
> "name": "namer",
> "type": "record",
> "fields": [
> {"name":"f1","type":["null","string"]},
> {"name":"f2","type":["null","string"]},
> {"name":"f3","type":["null","string"]},
> {"name":"f4","type":["null","string"]},
> {"name":"f5","type":["null","string"]},
> {"name":"f6","type":["null","string"]},
> {"name":"f7","type":["null","string"]},
> {"name":"f8","type":["null","string"]},
> {"name":"f9","type":["null","string"]},
> {"name":"f10","type":["null","string"]},
> {"name":"f11","type":["null","string"]},
> {"name":"f12","type":["null","string"]},
> {"name":"f13","type":["null","string"]},
> {"name":"f14","type":["null","string"]},
> {"name":"f15","type":["null","string"]}
> ]
> }
>
> This is what I am doing to read in the json file(using spark sql in the
> spark shell on CDH5.3):
>
> val sqlsc = new org.apache.spark.sql.SQLContext(sc)
> val j = sqlsc.jsonFile("/tmp/try.avsc")
>
>
> This is what I am getting as an error:
>
> 15/03/02 11:23:45 WARN TaskSetManager: Lost task 0.0 in stage 3.0 (TID 12,
> 10.0.2.15): scala.MatchError: namespace (of class java.lang.String)
> at
>
> org.apache.spark.sql.json.JsonRDD$$anonfun$parseJson$1$$anonfun$apply$2.apply(JsonRDD.scala:305)
> at
>
> org.apache.spark.sql.json.JsonRDD$$anonfun$parseJson$1$$anonfun$apply$2.apply(JsonRDD.scala:303)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at
>
> scala.collection.TraversableOnce$class.reduceLeft(TraversableOnce.scala:172)
> at
> scala.collection.AbstractIterator.reduceLeft(Iterator.scala:1157)
> at org.apache.spark.rdd.RDD$$anonfun$18.apply(RDD.scala:853)
> at org.apache.spark.rdd.RDD$$anonfun$18.apply(RDD.scala:851)
> at
> org.apache.spark.SparkContext$$anonfun$29.apply(SparkContext.scala:1350)
> at
> org.apache.spark.SparkContext$$anonfun$29.apply(SparkContext.scala:1350)
> at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
> at org.apache.spark.scheduler.Task.run(Task.scala:56)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
> at
>
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
>
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
>
> 15/03/02 11:23:45 INFO TaskSetManager: Starting task 0.1 in stage 3.0 (TID
> 14, 10.0.2.15, ANY, 1308 bytes)
> 15/03/02 11:23:45 INFO TaskSetManager: Finished task 1.0 in stage 3.0 (TID
> 13) in 128 ms on 10.0.2.15 (1/2)
> 15/03/02 11:23:45 INFO TaskSetManager: Lost task 0.1 in stage 3.0 (TID 14)
> on executor 10.0.2.15: scala.MatchError (namespace (of class
> java.lang.String)) [duplicate 1]
> 15/03/02 11:23:45 INFO TaskSetManager: Starting task 0.2 in stage 3.0 (TID
> 15, 10.0.2.15, ANY, 1308 bytes)
> 15/03/02 11:23:45 INFO TaskSetManager: Lost task 0.2 in stage 3.0 (TID 15)
> on executor 10.0.2.15: scala.MatchError (namespace (of class
> java.lang.String)) [duplicate 2]
> 15/03/02 11:23:45 INFO TaskSetManager: Starting task 0.3 in stage 3.0 (TID
> 16, 10.0.2.15, ANY, 1308 bytes)
> 15/03/02 11:23:45 INFO TaskSetManager: Lost task 0.3 in stage 3.0 (TID 16)
> on executor 10.0.2.15: scala.MatchError (namespace (of class
> java.lang.String)) [duplicate 3]
> 15/03/02 11:23:45 ERROR TaskSetManager: Task 0 in stage 3.0 failed 4 times;
> aborting job
> 15/03/02 11:23:45 INFO TaskSchedulerImpl: Removed TaskSet 3.0, whose tasks
> have all completed, from pool
> 15/03/02 11:23:45 INFO TaskSchedulerImpl: Cancelling stage 3
> 15/03/02 11:23:45 INFO DAGScheduler: Job 3 failed: reduce at
> JsonRDD.scala:57, took 0.210707 s
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
> in
> stage 3.0 failed 4 times, most recent failure: Lost task 0.3 in stage 3.0
> (TID 16, 10.0.2.15): scala.MatchError: namespace (of class
> java.lang.String)
> at
>
> org.apache.spark.sql.json.JsonRDD$$anonfun$parseJson$1$$anonfun$apply$2.apply(JsonRDD.scala:305)
> at
>
> org.apache.spark.sql.json.JsonRDD$$anonfun$parseJson$1$$anonfun$apply$2.apply(JsonRDD.scala:303)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at
>
> scala.collection.TraversableOnce$class.reduceLeft(TraversableOnce.scala:172)
> at
> scala.collection.AbstractIterator.reduceLeft(Iterator.scala:1157)
> at org.apache.spark.rdd.RDD$$anonfun$18.apply(RDD.scala:853)
> at org.apache.spark.rdd.RDD$$anonfun$18.apply(RDD.scala:851)
> at
> org.apache.spark.SparkContext$$anonfun$29.apply(SparkContext.scala:1350)
> at
> org.apache.spark.SparkContext$$anonfun$29.apply(SparkContext.scala:1350)
> at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
> at org.apache.spark.scheduler.Task.run(Task.scala:56)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
> at
>
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
>
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
>
> Driver stacktrace:
> at
> org.apache.spark.scheduler.DAGScheduler.org
> $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1214)
> at
>
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1203)
> at
>
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1202)
> at
>
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at
> scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1202)
> at
>
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
> at
>
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
> at scala.Option.foreach(Option.scala:236)
> at
>
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:696)
> at
>
> org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1420)
> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
> at akka.actor.ActorCell.invoke(ActorCell.scala:456)
> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
> at akka.dispatch.Mailbox.run(Mailbox.scala:219)
> at
>
> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
> at
> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> at
>
> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
> at
> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
> at
>
> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>
>
>
>
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Issues-reading-in-Json-file-with-spark-sql-tp21879.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
> For additional commands, e-mail: user-h...@spark.apache.org
>
>
