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Tomer Kaftan commented on SPARK-17110:
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Thanks all who helped out with this!
> Pyspark with
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Apache Spark commented on SPARK-17110:
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User 'JoshRosen' has created a pull request for this issue:
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Tomer Kaftan commented on SPARK-17110:
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Hi Miao, all that is needed using the fully default
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Gen TANG commented on SPARK-17110:
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Hi,
I tried the similar code in python, scala, java and with
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Miao Wang commented on SPARK-17110:
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Can you post a sample configuration? It could be simpler to
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Tomer Kaftan commented on SPARK-17110:
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Hi Miao,
That setup wouldn't cause this bug to appear
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Miao Wang commented on SPARK-17110:
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I set up a two-node cluster, one master, one worker, 48 cores. 1G
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Gen TANG commented on SPARK-17110:
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[~radost...@gmail.com], It seems spark scala doesn't have this bug
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Tomer Kaftan commented on SPARK-17110:
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[~radost...@gmail.com] Unfortunately we haven't been able to
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Jonathan Alvarado commented on SPARK-17110:
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Is there a workaround for this issue? I'm
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Miao Wang commented on SPARK-17110:
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The network layer of Spark must have some change for dealing with
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Tomer Kaftan commented on SPARK-17110:
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It is with the default configuration settings, and this
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Miao Wang commented on SPARK-17110:
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It seems that it is a network I/O timeout, because there is one
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