Stack trace for my second case:
2014-10-20 23:00:36,903 ERROR [Executor task launch worker-0] executor.Executor (Logging.scala:logError(96)) - Exception in task 0.0 in stage 0.0 (TID 0) scala.MatchError: TimestampType (of class org.apache.spark.sql.catalyst.types.TimestampType$) at org.apache.spark.sql.json.JsonRDD$.enforceCorrectType(JsonRDD.scala:348) at org.apache.spark.sql.json.JsonRDD$$anonfun$org$apache$spark$sql$json$JsonRDD$$asRow$1$$anonfun$apply$12.apply(JsonRDD.scala:381) at scala.Option.map(Option.scala:145) at org.apache.spark.sql.json.JsonRDD$$anonfun$org$apache$spark$sql$json$JsonRDD$$asRow$1.apply(JsonRDD.scala:380) at org.apache.spark.sql.json.JsonRDD$$anonfun$org$apache$spark$sql$json$JsonRDD$$asRow$1.apply(JsonRDD.scala:365) at scala.collection.mutable.ArraySeq.foreach(ArraySeq.scala:73) at org.apache.spark.sql.json.JsonRDD$.org$apache$spark$sql$json$JsonRDD$$asRow(JsonRDD.scala:365) at org.apache.spark.sql.json.JsonRDD$$anonfun$jsonStringToRow$1.apply(JsonRDD.scala:38) at org.apache.spark.sql.json.JsonRDD$$anonfun$jsonStringToRow$1.apply(JsonRDD.scala:38) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) 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$class.to(TraversableOnce.scala:273) at scala.collection.AbstractIterator.to(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) at org.apache.spark.rdd.RDD$$anonfun$16.apply(RDD.scala:774) at org.apache.spark.rdd.RDD$$anonfun$16.apply(RDD.scala:774) at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121) at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62) at org.apache.spark.scheduler.Task.run(Task.scala:54) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:180) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) 2014-10-20 23:00:36,933 WARN [Result resolver thread-1] scheduler.TaskSetManager (Logging.scala:logWarning(71)) - Lost task 0.0 in stage 0.0 (TID 0, localhost): scala.MatchError: TimestampType (of class org.apache.spark.sql.catalyst.types.TimestampType$) org.apache.spark.sql.json.JsonRDD$.enforceCorrectType(JsonRDD.scala:348) org.apache.spark.sql.json.JsonRDD$$anonfun$org$apache$spark$sql$json$JsonRDD$$asRow$1$$anonfun$apply$12.apply(JsonRDD.scala:381) scala.Option.map(Option.scala:145) org.apache.spark.sql.json.JsonRDD$$anonfun$org$apache$spark$sql$json$JsonRDD$$asRow$1.apply(JsonRDD.scala:380) org.apache.spark.sql.json.JsonRDD$$anonfun$org$apache$spark$sql$json$JsonRDD$$asRow$1.apply(JsonRDD.scala:365) scala.collection.mutable.ArraySeq.foreach(ArraySeq.scala:73) org.apache.spark.sql.json.JsonRDD$.org$apache$spark$sql$json$JsonRDD$$asRow(JsonRDD.scala:365) org.apache.spark.sql.json.JsonRDD$$anonfun$jsonStringToRow$1.apply(JsonRDD.scala:38) org.apache.spark.sql.json.JsonRDD$$anonfun$jsonStringToRow$1.apply(JsonRDD.scala:38) scala.collection.Iterator$$anon$11.next(Iterator.scala:328) scala.collection.Iterator$$anon$11.next(Iterator.scala:328) scala.collection.Iterator$class.foreach(Iterator.scala:727) scala.collection.AbstractIterator.foreach(Iterator.scala:1157) scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) scala.collection.AbstractIterator.to(Iterator.scala:1157) scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) scala.collection.AbstractIterator.toArray(Iterator.scala:1157) org.apache.spark.rdd.RDD$$anonfun$16.apply(RDD.scala:774) org.apache.spark.rdd.RDD$$anonfun$16.apply(RDD.scala:774) org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121) org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121) org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62) org.apache.spark.scheduler.Task.run(Task.scala:54) org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:180) java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) java.lang.Thread.run(Thread.java:745) 2014-10-20 23:00:36,935 ERROR [Result resolver thread-1] scheduler.TaskSetManager (Logging.scala:logError(75)) - Task 0 in stage 0.0 failed 1 times; aborting job -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/spark-sql-timestamp-in-json-fails-tp16864p16884.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