GitHub user nishkamravi2 opened a pull request:
https://github.com/apache/spark/pull/1095
Fix for Spark-2151
int format expected for input memory parameter when spark-submit is invoked
in standalone cluster mode. Make it consistent with rest of Spark.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/nishkamravi2/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/1095.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #1095
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commit 681b36f5fb63e14dc89e17813894227be9e2324f
Author: nravi <[email protected]>
Date: 2014-05-08T07:05:33Z
Fix for SPARK-1758: failing test
org.apache.spark.JavaAPISuite.wholeTextFiles
The prefix "file:" is missing in the string inserted as key in HashMap
commit 5108700230fd70b995e76598f49bdf328c971e77
Author: nravi <[email protected]>
Date: 2014-06-03T22:25:22Z
Fix in Spark for the Concurrent thread modification issue (SPARK-1097,
HADOOP-10456)
commit 6b840f017870207d23e75de224710971ada0b3d0
Author: nravi <[email protected]>
Date: 2014-06-03T22:34:02Z
Undo the fix for SPARK-1758 (the problem is fixed)
commit df2aeb179fca4fc893803c72a657317f5b5539d7
Author: nravi <[email protected]>
Date: 2014-06-09T19:02:59Z
Improved fix for ConcurrentModificationIssue (Spark-1097, Hadoop-10456)
commit eb663ca20c73f9c467192c95fc528c6f55f202be
Author: nravi <[email protected]>
Date: 2014-06-09T19:04:39Z
Merge branch 'master' of https://github.com/apache/spark
commit 5423a03ddf4d747db7261d08a64e32f44e8be95e
Author: nravi <[email protected]>
Date: 2014-06-10T20:06:07Z
Merge branch 'master' of https://github.com/apache/spark
commit 3bf8fad85813037504189cf1323d381fefb6dfbe
Author: nravi <[email protected]>
Date: 2014-06-16T05:47:00Z
Merge branch 'master' of https://github.com/apache/spark
commit 2b630f94079b82df3ebae2b26a3743112afcd526
Author: nravi <[email protected]>
Date: 2014-06-16T06:00:31Z
Accept memory input as "30g", "512M" instead of an int value, to be
consistent with rest of Spark
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