Github user rxin commented on the pull request:
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Merging in master. Thanks!
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--- Diff:
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@@ -43,9 +46,34 @@ trait RandomSampler[T, U] extends Pseudorandom with
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@@ -53,56 +81,237 @@ trait RandomSampler[T, U] extends Pseudorandom with
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Github user rxin commented on the pull request:
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Actually I looked at it again. I don't think it would block the scheduler
because we compute partitions outside the scheduler thread. This approach looks
good to me!
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--- Diff: core/src/main/scala/org/apache/spark/Partitioner.scala ---
@@ -222,7 +228,8 @@ class RangePartitioner[K : Ordering : ClassTag, V](
}
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--- Diff: core/src/main/scala/org/apache/spark/Partitioner.scala ---
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private var
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@erikerlandson i'm going to merge this first. Maybe we can do the cleanup
later.
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Github user rxin commented on the pull request:
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BTW one thing that would be great to add is a test that makes sure we don't
block the main dag scheduler thread. The reason I think we don't block is that
we call
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Github user markhamstra commented on the pull request:
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Have either of you thought about how to coordinate this with Josh's work on
SPARK-3626? https://github.com/apache/spark/pull/2482
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Github user ash211 commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,34 @@
+/*
+ * Licensed to the Apache Software
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@@ -0,0 +1,34 @@
+/*
+ * Licensed to the Apache
Github user CrazyJvm commented on the pull request:
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@andrewor14 already modified title according to your suggestion. Thx
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--- Diff: python/pyspark/mllib/Word2Vec.py ---
@@ -0,0 +1,124 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+#
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--- Diff: python/pyspark/mllib/Word2Vec.py ---
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@mengxr Repartition is very slow when caching at Python side. It takes 9
minutes to do the repartition where as caching in Java only takes 5s.
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Github user liancheng commented on a diff in the pull request:
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--- Diff: sbin/stop-thriftserver.sh ---
@@ -0,0 +1,25 @@
+#!/usr/bin/env bash
--- End diff --
This file should be executable, please `chmod
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--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
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} catch {
case e:
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--- Diff: sbin/spark-daemon.sh ---
@@ -142,8 +142,12 @@ case $startStop in
spark_rotate_log $log
echo starting $command, logging to
Github user liancheng commented on the pull request:
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Thanks for working on this! I tested this PR locally and it works fine. But
there are still some minor issues pending to be resolved, please refer to the
comments for
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GitHub user yangl opened a pull request:
https://github.com/apache/spark/pull/2558
fix the Building Spark url
the Building Spark url now should
http://spark.apache.org/docs/latest/building-with-maven.html
You can merge this pull request into a Git repository by running:
$ git
Github user AmplabJenkins commented on the pull request:
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Can one of the admins verify this patch?
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/2558#issuecomment-57053829
No, `building-spark.html` is the new URL of the page. This should not be
changed. The project site however does need to be rebuilt soon.
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GitHub user chenghao-intel opened a pull request:
https://github.com/apache/spark/pull/2559
[SPARK-3707] [SQL] Fix bug of type coercion in DIV
Calling `BinaryArithmetic.dataType` will throws exception until it's
resolved, but in type coercion rule `Division`, seems doesn't follow
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Github user BigCrunsh commented on the pull request:
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@jkbradley: yes, sounds great! I will give feedback to the design sheet
asap.
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Github user sjbrunst commented on the pull request:
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@ezhulenev I've pulled in your changes and fixed a small scalastyle error.
I agree that we should avoid having too many methods for all the parameter
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Github user liancheng commented on the pull request:
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@cloud-fan Sorry, made a mistake in the snippet I used, it should be:
```sql
CREATE TABLE t1(x INT);
CREATE TABLE t2(a STRUCTx: INT, k INT);
SELECT
Github user adrian-wang commented on the pull request:
https://github.com/apache/spark/pull/2344#issuecomment-57057116
@marmbrus , just in case it will be out of date soon...
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Github user srowen commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/util/random/RandomSampler.scala ---
@@ -53,56 +81,237 @@ trait RandomSampler[T, U] extends Pseudorandom with
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Github user erikerlandson commented on the pull request:
https://github.com/apache/spark/pull/2455#issuecomment-57057948
@srowen, regarding the testing for iterator types, inside of 'dd', that was
the only way I found (so far) that scala would accept. The best solution (imo)
would
Github user erikerlandson commented on the pull request:
https://github.com/apache/spark/pull/2455#issuecomment-57058031
Actually, the *other* best solution would be the patch for SI-8835, which
would make the whole thing go away.
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Github user erikerlandson commented on the pull request:
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@srowen I'll look into using `Math.log1p(-f)` in my next push.
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Github user andrewor14 commented on the pull request:
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Ok great, I'm merging this.
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Github user ezhulenev commented on the pull request:
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@sjbrunst you need to rollback your changes in TwitterAlgebirdCMD
TwitterAlgebirdHLL (remove Nil for locations), and after that project will
compile and I should
Github user sjbrunst commented on the pull request:
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@ezhulenev I've rolled back those changes now. Thanks!
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/2216#issuecomment-57060715
Ah I see - I thought this was an abstract class instead of a trait being
modified in this patch.
This is not an error with the compatibility checker - it's a
Github user pwendell commented on the pull request:
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Yeah so I looked into it a bit more and since `JavaDStream` extends
`JavaDStreamLike` this will break user code with custom DStream's. The issue is
that under the hood
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/2559#issuecomment-57062261
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Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/2344#discussion_r18125250
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/HiveTypeCoercion.scala
---
@@ -220,20 +220,52 @@ trait HiveTypeCoercion {
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