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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/03/11 12:49:12 UTC
[jira] [Resolved] (SPARK-13818) the spark streaming job will be
always processing status when restart elasticsearch
[ https://issues.apache.org/jira/browse/SPARK-13818?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-13818.
-------------------------------
Resolution: Invalid
> the spark streaming job will be always processing status when restart elasticsearch
> ------------------------------------------------------------------------------------
>
> Key: SPARK-13818
> URL: https://issues.apache.org/jira/browse/SPARK-13818
> Project: Spark
> Issue Type: Bug
> Components: Streaming
> Affects Versions: 1.3.0, 1.4.0, 1.5.0
> Reporter: yuemeng
>
> Using spark streaming to write data into elasticsearch-hadoop system ,when we restart elasticsearch system,tasks in some job at this time will be get follow error:
> Job aborted due to stage failure: Task 0 in stage 4.0 failed 4 times, most recent failure: Lost task 0.3 in stage 4.0 (TID 75, CIS-store02): org.elasticsearch.hadoop.EsHadoopIllegalStateException: Cluster state volatile; cannot find node backing shards - please check whether your cluster is stable
> at org.elasticsearch.hadoop.rest.RestRepository.getWriteTargetPrimaryShards(RestRepository.java:370)
> at org.elasticsearch.hadoop.rest.RestService.initSingleIndex(RestService.java:425)
> at org.elasticsearch.hadoop.rest.RestService.createWriter(RestService.java:393)
> at org.elasticsearch.spark.rdd.EsRDDWriter.write(EsRDDWriter.scala:40)
> at org.elasticsearch.spark.rdd.EsSpark$$anonfun$saveToEs$1.apply(EsSpark.scala:67)
> at org.elasticsearch.spark.rdd.EsSpark$$anonfun$saveToEs$1.apply(EsSpark.scala:67)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> at org.apache.spark.scheduler.Task.run(Task.scala:70)
> at org.apache.spark.executor.Executor$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:
> and this batch will be always in the status of processing,Never failed or finished,it maybe cause resources for this batch never release.
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