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Github user mridulm commented on the pull request:
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Are we proposing to introduce hdfs caching tags/idioms directly into
TaskSetManager in this pr ?
That does not look right. We need to generalize this so that any rdd c
Github user sryza commented on the pull request:
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This looks good to me.
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ok to test
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GitHub user scwf opened a pull request:
https://github.com/apache/spark/pull/2505
[SPARK-3481][SQL] removes the evil MINOR HACK
a follow up of https://github.com/apache/spark/pull/2377 and
https://github.com/apache/spark/pull/2352, see detail there.
You can merge this pull request
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SPARK-3172 and SPARK-3577
The posted patch addresses both SPARK-3172 and SPARK-3577. It renames
ShuffleWriteMetrics to WriteMetrics and uses it for tracking all three of
shuffle write, spilling on t
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Github user JoshRosen commented on the pull request:
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I've opened [SPARK-3644](https://issues.apache.org/jira/browse/SPARK-3644)
as a forum for discussing the design of a REST API; sorry for the delay (got
busy with other
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> Understood, this side-effect is bit dangerous. The third-package could
appear in sys.path in any order
Are you worried about a user adding a Python module who
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[SPARK-3649] Remove GraphX custom serializers
As [reported][1] on the mailing list, GraphX throws
```
java.lang.ClassCastException: java.lang.Long cannot be cast to scala.Tuple2
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Github user baishuo commented on the pull request:
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thanks a lot to @liancheng :)
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LGTM
@marmbrus This is finally good to go :)
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GitHub user ceys opened a pull request:
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Merge pull request #1 from apache/master
Update from original
You can merge this pull request into a Git repository by running:
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Alternatively you c
GitHub user marmbrus opened a pull request:
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[WIP][SPARK-3212][SQL] Use logical plan matching instead of temporary
tables for table caching
_Also addresses: SPARK-1379 and SPARK-3641_
This PR introduces a new trait, `CacheManger`, wh
Github user praveenr019 closed the pull request at:
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Closing this pull request since its committed on a old branch.
Thanks @JoshRosen, would be glad to see this feature in Spark.
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+/*
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@@ -48,6 +48,15 @@ by looking for the "Name" tag of the instance in the
Amazon EC2 Console.
key pair, `` is the nu
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retest this please
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Thanks for fixing this @vanzin. I will look at it shortly.
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[SPARK-3653] Respect SPARK_*_MEMORY for cluster mode
`SPARK_DRIVER_MEMORY` was only used to start the `SparkSubmit` JVM, which
becomes the driver only in client mode but not cluster mode. In clus
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[SPARK-3652] [SQL] upgrade spark sql hive version to 0.13.1
Now spark sql hive version is 0.12.0 and do not support 0.13.1 because of
some api level changes in hive new version.
Since hive has bac
Github user rnowling commented on the pull request:
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@Ishiihara Thanks for pointing out the style check -- I found and fixed the
style error in IDF.scala.
Thanks for mentioning options for the mimimumOccurence memb
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> Maybe my JIRA was misleadingly named; my motivation here is allowing
users to specify versions of packages that take precedence over other versions
of that same package
Github user shaneknapp closed the pull request at:
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jenkins, test this please
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WHITESPACE CHANGE DO NOT MERGE
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Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/2497#issuecomment-56462789
Backport of #2469 to branch-1.1. Sending now to speed up the review
process, since the original PR doesn't merge cleanly into this branch.
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GitHub user vanzin opened a pull request:
https://github.com/apache/spark/pull/2497
[SPARK-3606] [yarn] Correctly configure AmIpFilter for Yarn HA (1.1 vers...
...ion).
This is a backport of SPARK-3606 to branch-1.1. Some of the code had to be
duplicated since branch-1.1
Github user Ishiihara commented on a diff in the pull request:
https://github.com/apache/spark/pull/2494#discussion_r17886499
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/feature/IDF.scala ---
@@ -30,9 +30,20 @@ import org.apache.spark.rdd.RDD
* Inverse document frequ
Github user cmccabe commented on a diff in the pull request:
https://github.com/apache/spark/pull/1486#discussion_r17886353
--- Diff: core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala ---
@@ -309,4 +323,42 @@ private[spark] object HadoopRDD {
f(inputSplit, firstPar
Github user sryza commented on the pull request:
https://github.com/apache/spark/pull/2087#issuecomment-56461580
MapReduce doesn't use getPos, but it does look like it might be helpful in
some situations. One caveat is that pos only means # bytes for file input
formats. For example,
Github user Ishiihara commented on the pull request:
https://github.com/apache/spark/pull/2494#issuecomment-56461303
@rnowling Please run sbt/sbt scalastyle on your local machine to clear out
style issues.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/2495#issuecomment-56461187
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/2495#issuecomment-56461185
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/2494#issuecomment-56461090
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Github user cmccabe commented on a diff in the pull request:
https://github.com/apache/spark/pull/1486#discussion_r17886029
--- Diff: core/src/main/scala/org/apache/spark/scheduler/TaskLocation.scala
---
@@ -22,13 +22,35 @@ package org.apache.spark.scheduler
* In the latter c
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/2494#issuecomment-56461087
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/2494#issuecomment-56461020
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Github user cmccabe commented on a diff in the pull request:
https://github.com/apache/spark/pull/1486#discussion_r17886024
--- Diff: core/src/main/scala/org/apache/spark/scheduler/TaskLocation.scala
---
@@ -22,13 +22,35 @@ package org.apache.spark.scheduler
* In the latter c
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