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Xinming Wang commented on SPARK-21733:
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The problem occurs to me too. In my case, I use default
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Rajesh Chandramohan commented on SPARK-21733:
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Its based on symptom from the actual issue.
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lishuming commented on SPARK-21733:
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[~1028344...@qq.com] Maybe you should check the executor's log to
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Jepson commented on SPARK-21733:
I add this parameter of "spark.network.timeout=42". And I test this,
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Jepson commented on SPARK-21733:
[~jerryshao] Sorry, I'll pay attention next time.
I check the log
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Saisai Shao commented on SPARK-21733:
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[~1028344...@qq.com], I'm really not sure what are you trying
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Jepson commented on SPARK-21733:
[~jerryshao] the spark streaming with kafka scala code :
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Saisai Shao commented on SPARK-21733:
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I'm going to close this issue again because the behavior is
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Saisai Shao commented on SPARK-21733:
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This is because executor is killed by NM with SIGTERM, this is
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Jepson commented on SPARK-21733:
*The nodemanager log detail:*
{code:java}
2017-08-22 11:20:07,984
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Jepson commented on SPARK-21733:
[~sowen], thank you for correcting me, I will notice it at the next
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Saisai Shao commented on SPARK-21733:
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Should the resolution of this JIRA be "invalid" or else?
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Jepson commented on SPARK-21733:
I have resolve this issue.Thanks for [~jerryshao] and [~srowen]
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Saisai Shao commented on SPARK-21733:
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Is there any issue here?
> ERROR
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