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Thanks ! Looking forward to learn lot's more
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GitHub user yhuai opened a pull request:
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[SPARK-4903][SQL]Backport the bug fix for SPARK-4903
The original fix was a part of
https://issues.apache.org/jira/browse/SPARK-4912 (commit
https://github.com/apache/spark/commit/6463e0b9e8067cce706
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cc @rxin
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[Minor] [SQL] Cleans up DataFrame variable names and toDF() calls
Although we've migrated to the DataFrame API, lots of code still uses `rdd`
or `srdd` as local variable names. This PR tries to ad
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[SPARK-5880][SQL] Change log level of pruned batch's statistics string
Change log level of pruned batch's statistics string in Spark SQL in-memory
columnar store
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Github user yhuai commented on the pull request:
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@chenghao-intel After another look of the code, I think it may be better to
remove aliases from the `generator`. Then, `MultiAlias` can be used to assign
the names to the o
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Github user dbtsai commented on the pull request:
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Sorry for the late reply since I'm traveling recently. My concern is that
will this cause "caching twice" in the new ML api? For example, in
ml/classification/LogisticRegr
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/GaussianMixture.scala ---
@@ -168,16 +182,26 @@ class GaussianMixture private (
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Thank you @yhuai , I am closing this PR. :)
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/cc @marmbrus @rxin @yhuai I noticed that we have added the
`dataFrameEagerAnalysis` in `SQLConf`, probably we also need to update the `def
table` code for using `
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/cc @marmbrus @yhuai Any comment on this?
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Thank you @srowen , I've updated the script, seems much simpler.
Appreciated if you can confirm the change under OS X, sorry, I don't have
machine with OS X.
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@davies THANKS!
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Github user asfgit closed the pull request at:
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Github user CodingCat commented on the pull request:
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Hi, @squito , thanks for the further comments
I have addressed them and also replied under some of them
The snapshots was uploaded,
I will not
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GitHub user tmyklebu opened a pull request:
https://github.com/apache/spark/pull/4668
Avoid deprecation warnings in JDBCSuite.
This pull request replaces calls to deprecated methods from
`java.util.Date` with near-equivalents in `java.util.Calendar`.
You can merge this pull request
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Github user JoshRosen commented on the pull request:
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I pushed a a51fc7ef9adb6a41c4857918217f800858fced2c hotfix to roll back a
bit of code cleanup that I did which added a `getOrElseUpdate` call, since this
might have a p
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Github user sarutak commented on the pull request:
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@srowen Thank you for picking up this PR. I've changed the
`shutdownCallback` to be a simple volatile variable.
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This LGTM Josh - thanks for giving this such a thorough look.
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Hey @brkyvz thanks for this, I'm going to merge it. I might remove Spark
Packages-specific comments. While it's great that this will work well with
Spark packages, I thi
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Github user asfgit closed the pull request at:
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Thanks for adding the test.
LGTM, so I'm going to merge this into `master` (1.4.0) and `branch-1.3`
(1.3.0). Thanks!
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@chenghao-intel can you close it? It is has been fixed by #4655.
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GitHub user davies opened a pull request:
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[SPARK-5878] fix DataFrame.repartition() in Python
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/davies/spark repartition
Alternatively you ca
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/4521#issuecomment-74788155
@dondrake Because we need to cut 1.3-RC1 now, I create another PR for
master and 1.3, see #4666
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[SPARK-5722] [SQL] [PySpark] infer int as LongType
The `int` is 64-bit on 64-bit machine (very common now), we should infer it
as LongType for it in Spark SQL.
Also, LongType in SQL will com
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Github user ilganeli commented on the pull request:
https://github.com/apache/spark/pull/4021#issuecomment-74782086
Hi @JoshRosen - could I please get a review of this? Thank you!
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GitHub user ilganeli opened a pull request:
https://github.com/apache/spark/pull/4665
SPARK-5570: No docs stating that `new
SparkConf().set("spark.driver.memory", ...) will not work
I've updated documentation to reflect true behavior of this setting in
client vs. cluster mode.
Yo
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4664#issuecomment-74781824
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Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/4639#discussion_r24867218
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/commands.scala ---
@@ -165,8 +165,10 @@ case class CreateMetastoreDataSourceAsSelect(
GitHub user brkyvz opened a pull request:
https://github.com/apache/spark/pull/4664
[SPARK-5507] Added documentation for BlockMatrix
Docs for BlockMatrix. @mengxr
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Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/4639#discussion_r24867128
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala ---
@@ -499,24 +499,69 @@ private[hive] class HiveMetastoreCatalog(hiv
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/4655
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Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/4639#discussion_r24867096
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala ---
@@ -61,6 +61,21 @@ class HiveContext(sc: SparkContext) extends
SQLContext(
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/4659
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4663#issuecomment-74779809
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GitHub user yhuai opened a pull request:
https://github.com/apache/spark/pull/4663
[SPARK-5875][SQL]logical.Project should not be resolved if it contains
aggregates or generators
https://issues.apache.org/jira/browse/SPARK-5875 has a case to reproduce
the bug and explain the root c
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/4629#issuecomment-74776721
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4629#issuecomment-74776715
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