Running Windows 8.1, Python 2.7.x, Scala 2.10.5, Spark 1.4.1. I'm trying to read in a large quantity of json data in a couple of files and I receive a scala.MatchError when I do so. Json, Python and stack trace all shown below.
Json: { "dataunit": { "page_view": { "nonce": 438058072, "person": { "user_id": 5846 }, "page": { "url": "http://mysite.com/blog" } } }, "pedigree": { "true_as_of_secs": 1438627992 } } Python: import pyspark sc = pyspark.SparkContext() sqlContext = pyspark.SQLContext(sc) pageviews = sqlContext.read.json("[Path to folder containing file with above json]") pageviews.collect() Stack Trace: Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 32.0 failed 1 times, most recent failure: Lost task 1.0 in stage 32.0 (TID 133, localhost): scala.MatchError: (VALUE_STRING,ArrayType(StructType(),true)) (of class scala.Tuple2) at org.apache.spark.sql.json.JacksonParser$.convertField(JacksonParser.scala:49) at org.apache.spark.sql.json.JacksonParser$$anonfun$parseJson$1$$anonfun$apply$1.apply(JacksonParser.scala:201) at org.apache.spark.sql.json.JacksonParser$$anonfun$parseJson$1$$anonfun$apply$1.apply(JacksonParser.scala:193) at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) at org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.hasNext(SerDeUtil.scala:116) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.foreach(SerDeUtil.scala:111) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) at org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.to(SerDeUtil.scala:111) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) at org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.toBuffer(SerDeUtil.scala:111) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) at org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.toArray(SerDeUtil.scala:111) at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:885) at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:885) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63) at org.apache.spark.scheduler.Task.run(Task.scala:70) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1273) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1264) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1263) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1263) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1457) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1418) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) It seems like this issue has been resolved in scala per SPARK-3390 <https://issues.apache.org/jira/browse/SPARK-3390> ; any thoughts on the root cause of this in pyspark? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Reading-JSON-in-Pyspark-throws-scala-MatchError-tp24911.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