Github user rxin commented on the pull request:
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We might as well do it. (Any downside?)
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--- Diff:
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+/*
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Github user tijoparacka commented on the pull request:
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Sorry to be late . I was held up in some other urgent work.
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Thanks @felixcheung @yu-iskw -- Merging this to master and branch-1.5
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Can one of the admins verify this patch?
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GitHub user ihainan reopened a pull request:
https://github.com/apache/spark/pull/8480
[CORE][MINOR] Whitespace fixes in RangePartitioner
Just a trivial change so I didn't create a corresponding JIRA issue.
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Github user vanzin commented on the pull request:
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@zsxwing will you have time to update this sometime soon? it would be good
to get this in early in the 1.6 cycle, so that we can test it thoroughly and
iron out any
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Github user mengxr commented on the pull request:
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@zapletal-martin Do you have time to update this time? It would be nice to
merge this first before I make a pass to the whole user guide to avoid merge
conflicts. Or I
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Github user shivaram commented on the pull request:
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lint-r looks fine, Merging this.
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--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/test/SharedSQLContext.scala ---
@@ -17,7 +17,7 @@
package org.apache.spark.sql.test
Github user yhuai commented on a diff in the pull request:
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Github user vanzin commented on the pull request:
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retest this please
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GitHub user liancheng opened a pull request:
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[SPARK-10301] [SQL] Fixes schema merging for nested structs
This PR can be quite challenging to review. I'm trying to give a detailed
description of the problem as well as its solution here.
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Github user JoshRosen commented on the pull request:
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Backported to 1.4.2.
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cc @sun-rui , @yu-iskw (especially for the rdname changes)
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Github user zapletal-martin commented on the pull request:
https://github.com/apache/spark/pull/8377#issuecomment-135837710
@mengxr, I am planning to work on this in around 5 hours. Unfortunately I
won't be able to progress it before that.
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@rxin Considering this is a pretty major change and SPARK-10301 isn't a
blocker, I'm not quite sure whether we should include this into 1.5 at this
moment. Another
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@mengxr WRT 1, completely agree and created SPARK-10333
WRT 2, I agree we should be consistent throughout the code examples.
However, I've felt awkward
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@vanzin, @srowen, does the lack of reflection in the existing code imply
that builds created using the `hadoop-provided` profile will have broken data
sources
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/cc @pwendell also.
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--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala ---
@@ -382,15 +378,13 @@ class DataFrameFunctionsSuite extends QueryTest
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Github user feynmanliang commented on a diff in the pull request:
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--- Diff: docs/mllib-guide.md ---
@@ -56,71 +63,63 @@ This lists functionality included in `spark.mllib`, the
main MLlib API.
* [limited-memory
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--- Diff: docs/ml-guide.md ---
@@ -868,34 +859,4 @@ jsc.stop();
/div
-# Dependencies
-
-Spark ML currently depends on MLlib
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--- Diff: docs/mllib-guide.md ---
@@ -56,71 +63,63 @@ This lists functionality included in `spark.mllib`, the
main MLlib API.
* [limited-memory
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--- Diff:
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---
@@ -0,0 +1,189 @@
+/*
+* Licensed to the Apache
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My understanding is that this would not work at runtime with Hadoop 1.x,
yes, without reflection. At least, that was what prompted the original change.
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+1 to follow postgres.
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Github user rxin commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/Dependency.scala ---
@@ -76,6 +78,18 @@ class ShuffleDependency[K, V, C](
override def rdd:
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Thanks, I'm going to merge this into master and 1.5
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--- Diff: docs/ml-guide.md ---
@@ -21,19 +21,10 @@ title: Spark ML Programming Guide
\]`
-Spark 1.2 introduced a new package called
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/8503#issuecomment-135861985
Hmm, I'm guessing the generic is breaking signature matching somehow, with
`result - transform(Ozone, logOzone = log(Ozone))`
I was running run-tests.sh
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https://github.com/apache/spark/pull/8498#discussion_r38233348
--- Diff: docs/mllib-guide.md ---
@@ -56,71 +63,63 @@ This lists functionality included in `spark.mllib`, the
main MLlib API.
* [limited-memory
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--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala ---
@@ -179,3 +180,46 @@ private[sql] trait SQLTestUtils
GitHub user yhuai opened a pull request:
https://github.com/apache/spark/pull/8515
[SPARK-10339] [SPARK-10334] [SQL]Partitioned table scan
This fixes the problem that scanning partitioned table causes driver have a
high memory pressure and takes down the cluster. Also, with this
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https://github.com/apache/spark/pull/8515#issuecomment-135906726
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Github user AmplabJenkins commented on the pull request:
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Github user AmplabJenkins commented on the pull request:
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