[jira] [Comment Edited] (SPARK-5137) subtract does not take the spark.default.parallelism into account
[ https://issues.apache.org/jira/browse/SPARK-5137?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14269263#comment-14269263 ] Al M edited comment on SPARK-5137 at 1/8/15 12:30 PM: -- That's right. a has 11 partitions and b has a lot more. I can see why you wouldn't want to force a shuffle on a since that's unnecessary processing. Thanks for your detailed explanation and quick response. I'll close this since I agree that it behaves correctly. was (Author: alrocks47): That's right. _emphasis_a_emphasis_ has 11 partitions and _emphasis_b_emphasis_ has a lot more. I can see why you wouldn't want to force a shuffle on _emphasis_a_emphasis_ since that's unnecessary processing. Thanks for your detailed explanation and quick response. I'll close this since I agree that it behaves correctly. subtract does not take the spark.default.parallelism into account - Key: SPARK-5137 URL: https://issues.apache.org/jira/browse/SPARK-5137 Project: Spark Issue Type: Bug Affects Versions: 1.2.0 Environment: CENTOS 6; scala Reporter: Al M Priority: Trivial The 'subtract' function (PairRDDFunctions.scala) in scala does not use the default parallelism value set in the config (spark.default.parallelism). This is easy enough to work around. I can just load the property and pass it in as an argument. It would be great if subtract used the default value, just like all the other PairRDDFunctions. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Comment Edited] (SPARK-5137) subtract does not take the spark.default.parallelism into account
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https://issues.apache.org/jira/browse/SPARK-5137?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14269263#comment-14269263
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Al M edited comment on SPARK-5137 at 1/8/15 12:30 PM:
--
That's right. _emphasis_a_emphasis_ has 11 partitions and
_emphasis_b_emphasis_ has a lot more. I can see why you wouldn't want to force
a shuffle on _emphasis_a_emphasis_ since that's unnecessary processing.
Thanks for your detailed explanation and quick response. I'll close this since
I agree that it behaves correctly.
was (Author: alrocks47):
That's right. {code}a{code} has 11 partitions and {code}b{code} has a lot
more. I can see why you wouldn't want to force a shuffle on {code}a{code}
since that's unnecessary processing.
Thanks for your detailed explanation and quick response. I'll close this since
I agree that it behaves correctly.
subtract does not take the spark.default.parallelism into account
-
Key: SPARK-5137
URL: https://issues.apache.org/jira/browse/SPARK-5137
Project: Spark
Issue Type: Bug
Affects Versions: 1.2.0
Environment: CENTOS 6; scala
Reporter: Al M
Priority: Trivial
The 'subtract' function (PairRDDFunctions.scala) in scala does not use the
default parallelism value set in the config (spark.default.parallelism).
This is easy enough to work around. I can just load the property and pass it
in as an argument.
It would be great if subtract used the default value, just like all the other
PairRDDFunctions.
--
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