Hi,

I am testing kafka-spark streaming application which throws below error
after few seconds and below configuration is used for spark streaming test
environment.

kafka version- 0.8.1
spark version- 1.0.1

SPARK_MASTER_MEMORY="1G"
SPARK_DRIVER_MEMORY="1G"
SPARK_WORKER_INSTANCES="1"
SPARK_EXECUTOR_INSTANCES="1"
SPARK_WORKER_MEMORY="1G"
SPARK_EXECUTOR_MEMORY="1G"
SPARK_WORKER_CORES="2"
SPARK_EXECUTOR_CORES="1"

*ERROR:*

14/09/12 17:30:23 WARN TaskSetManager: Loss was due to java.lang.Exception
java.lang.Exception: *Could not compute split, block*
*input-4-1410542878200 not found*
        at org.apache.spark.rdd.BlockRDD.compute(BlockRDD.scala:51)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
        at org.apache.spark.rdd.UnionPartition.iterator(UnionRDD.scala:33)
        at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:74)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
        at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:77)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(
MapPartitionsRDD.scala:35)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(
ShuffleMapTask.scala:158)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(
ShuffleMapTask.scala:99)
        at org.apache.spark.scheduler.Task.run(Task.scala:51)
        at org.apache.spark.executor.Executor$TaskRunner.run(
Executor.scala:187)
        at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)

Please suggest your answer

Regards,

Rafeeq S
*(“What you do is what matters, not what you think or say or plan.” )*

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