How to make Write Ahead Logs to work with S3? Any pointers welcome!
It seems as a known issue: https://issues.apache.org/jira/browse/SPARK-9215
I am getting this exception when reading write ahead log:
Exception in thread "main" org.apache.spark.SparkException: Job aborted due
to stage failure: Task 0 in stage 5.0 failed 1 times, most recent failure:
Lost task 0.0 in stage 5.0 (TID 14, localhost):
org.apache.spark.SparkException: Could not read data from write ahead log
record
FileBasedWriteAheadLogSegment(s3ax://test/test/0/log-1442512871968-1442512931968,0,1721)
at org.apache.spark.streaming.rdd.WriteAheadLogBackedBlockRDD.org
$apache$spark$streaming$rdd$WriteAheadLogBackedBlockRDD$$getBlockFromWriteAheadLog$1(WriteAheadLogBackedBlockRDD.scala:144)
at
org.apache.spark.streaming.rdd.WriteAheadLogBackedBlockRDD.compute(WriteAheadLogBackedBlockRDD.scala:170)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:70)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:70)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.NullPointerException
at
org.apache.spark.streaming.util.FileBasedWriteAheadLog.read(FileBasedWriteAheadLog.scala:106)
at org.apache.spark.streaming.rdd.WriteAheadLogBackedBlockRDD.org
$apache$spark$streaming$rdd$WriteAheadLogBackedBlockRDD$$getBlockFromWriteAheadLog$1(WriteAheadLogBackedBlockRDD.scala:141)
... 13 more
