yuemeng created SPARK-13818:
-------------------------------
Summary: 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: 1.5.0, 1.4.0, 1.3.0
Reporter: yuemeng
Priority: Blocker
Fix For: 1.4.2, 1.5.3
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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