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https://issues.apache.org/jira/browse/SPARK-7736?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14952263#comment-14952263
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Shay Rojansky commented on SPARK-7736:
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Have just tested this with Spark 1.5.1 on Yarn 2.7.1 and the
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https://issues.apache.org/jira/browse/SPARK-8119?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14630799#comment-14630799
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Shay Rojansky commented on SPARK-8119:
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Thanks Andrew!
HeartbeatReceiver should not
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Shay Rojansky commented on SPARK-8119:
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Will this really not be fixed before 1.5?
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Shay Rojansky commented on SPARK-7736:
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Neelesh, not sure I understood what you're
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https://issues.apache.org/jira/browse/SPARK-8374?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14605425#comment-14605425
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Shay Rojansky commented on SPARK-8374:
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Thanks for your comment and sure, I can help
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Shay Rojansky commented on SPARK-8374:
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Any chance someone can look at this bug, at
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Shay Rojansky commented on SPARK-7736:
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The problem is simply with the YARN status
Shay Rojansky created SPARK-8374:
Summary: Job frequently hangs after YARN preemption
Key: SPARK-8374
URL: https://issues.apache.org/jira/browse/SPARK-8374
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-7725?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14564421#comment-14564421
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Shay Rojansky commented on SPARK-7725:
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Here you go:
Shay Rojansky created SPARK-7725:
Summary: --py-files doesn't seem to work in YARN cluster mode
Key: SPARK-7725
URL: https://issues.apache.org/jira/browse/SPARK-7725
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-7709?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shay Rojansky closed SPARK-7709.
Resolution: Duplicate
Oops, it seems this was already implemented...
spark-submit option to quit
Shay Rojansky created SPARK-7736:
Summary: Exception not failing Python applications (in yarn
cluster mode)
Key: SPARK-7736
URL: https://issues.apache.org/jira/browse/SPARK-7736
Project: Spark
Shay Rojansky created SPARK-7709:
Summary: spark-submit option to quit after submitting in cluster
mode
Key: SPARK-7709
URL: https://issues.apache.org/jira/browse/SPARK-7709
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-3644?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14547073#comment-14547073
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Shay Rojansky commented on SPARK-3644:
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+1 on this, our main use would be to get
Shay Rojansky created SPARK-3470:
Summary: Have JavaSparkContext implement Closeable/AutoCloseable
Key: SPARK-3470
URL: https://issues.apache.org/jira/browse/SPARK-3470
Project: Spark
Issue
Shay Rojansky created SPARK-3471:
Summary: Automatic resource manager for SparkContext in Scala?
Key: SPARK-3471
URL: https://issues.apache.org/jira/browse/SPARK-3471
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-2972?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shay Rojansky closed SPARK-2972.
Resolution: Won't Fix
APPLICATION_COMPLETE not created in Python unless context explicitly stopped
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Shay Rojansky commented on SPARK-3470:
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Good point about AutoCloseable. Yes, the idea
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Shay Rojansky commented on SPARK-2972:
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you're right! imho, this means your program
Shay Rojansky created SPARK-3457:
Summary: ConcurrentModificationException starting up pyspark
Key: SPARK-3457
URL: https://issues.apache.org/jira/browse/SPARK-3457
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-3457?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shay Rojansky updated SPARK-3457:
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Description:
Just downloaded Spark 1.1.0-rc4. Launching pyspark for the very first time in
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Shay Rojansky commented on SPARK-2972:
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I'd love to help on this, but I know 0 Scala
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Shay Rojansky commented on SPARK-2972:
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Thanks for answering. I guess it's a
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https://issues.apache.org/jira/browse/SPARK-3183?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14114368#comment-14114368
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Shay Rojansky commented on SPARK-3183:
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+1.
As a current workaround for cores, we
Shay Rojansky created SPARK-2971:
Summary: Orphaned YARN ApplicationMaster lingers forever
Key: SPARK-2971
URL: https://issues.apache.org/jira/browse/SPARK-2971
Project: Spark
Issue Type:
Shay Rojansky created SPARK-2972:
Summary: APPLICATION_COMPLETE not created in Python unless context
explicitly stopped
Key: SPARK-2972
URL: https://issues.apache.org/jira/browse/SPARK-2972
Project:
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https://issues.apache.org/jira/browse/SPARK-2945?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14092058#comment-14092058
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Shay Rojansky commented on SPARK-2945:
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I just did a quick test on Spark 1.0.2, and
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https://issues.apache.org/jira/browse/SPARK-2960?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shay Rojansky updated SPARK-2960:
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Priority: Minor (was: Major)
Spark executables fail to start via symlinks
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https://issues.apache.org/jira/browse/SPARK-2960?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shay Rojansky updated SPARK-2960:
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Summary: Spark executables fail to start via symlinks (was: Spark
executables failed to start
Shay Rojansky created SPARK-2960:
Summary: Spark executables failed to start via symlinks
Key: SPARK-2960
URL: https://issues.apache.org/jira/browse/SPARK-2960
Project: Spark
Issue Type: Bug
Shay Rojansky created SPARK-2945:
Summary: Allow specifying num of executors in the context
configuration
Key: SPARK-2945
URL: https://issues.apache.org/jira/browse/SPARK-2945
Project: Spark
Shay Rojansky created SPARK-2946:
Summary: Allow specifying * for --num-executors in YARN
Key: SPARK-2946
URL: https://issues.apache.org/jira/browse/SPARK-2946
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-2880?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14090880#comment-14090880
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Shay Rojansky commented on SPARK-2880:
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It's indeed a duplicate of that bug, great to
Shay Rojansky created SPARK-2880:
Summary: spark-submit processes app cmdline options
Key: SPARK-2880
URL: https://issues.apache.org/jira/browse/SPARK-2880
Project: Spark
Issue Type: Bug
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