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From kpeng1 <kpe...@gmail.com>
Subject Issues reading in Json file with spark sql
Date Mon, 02 Mar 2015 19:28:15 GMT
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)







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