1239061 - Get 1% longitudinal sample saved to S3 from spark

Status: RESOLVED FIXED

(Cloud Services Graveyard :: Metrics: Pipeline, defect)

Description

[Sam Penrose]

Steps to reproduce:

1) On 16-node Spark cluster
2) https://gist.github.com/SamPenrose/5336db1321d32209dff3
  ** takes 90 minutes to group **
3) mgroup.saveAsSequenceFile('s3n://net-mozaws-prod-us-west-2-pipeline-analysis/spenrose/december-one-percent')

... raises ...

Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.saveAsSequenceFile.
: org.apache.spark.SparkException: Job aborted due to stage failure: Exception while getting task result: java.lang.NullPointerException
	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1283)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270)
	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
	at scala.Option.foreach(Option.scala:236)
	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447)
	at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1837)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1850)
	at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1302)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
	at org.apache.spark.rdd.RDD.take(RDD.scala:1276)
	at org.apache.spark.api.python.SerDeUtil$.pythonToPairRDD(SerDeUtil.scala:232)
	at org.apache.spark.api.python.PythonRDD$.saveAsHadoopFile(PythonRDD.scala:745)
	at org.apache.spark.api.python.PythonRDD$.saveAsSequenceFile(PythonRDD.scala:720)
	at org.apache.spark.api.python.PythonRDD.saveAsSequenceFile(PythonRDD.scala)
	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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
	at py4j.Gateway.invoke(Gateway.java:259)
	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
	at py4j.commands.CallCommand.execute(CallCommand.java:79)
	at py4j.GatewayConnection.run(GatewayConnection.java:207)
	at java.lang.Thread.run(Thread.java:745)

Comment 1

[Sam Penrose]

This was an encoding mistake on my part. I've got the sample saving at 0.1% after fixing the encoding. I'll try 1% next. Leaving open until that works.