Github user adrian-wang commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SQLConf.scala ---
@@ -144,6 +145,12 @@ private[sql] class SQLConf extends Serializable {
Github user srowen commented on the pull request:
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Any other comments? I'd like to merge today.
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--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala
---
@@ -93,6 +91,9 @@ class SparkHadoopUtil extends Logging {
if
Github user tsudukim commented on the pull request:
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oops, forgot to include fixed test code.
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Github user Sephiroth-Lin commented on the pull request:
https://github.com/apache/spark/pull/5305#issuecomment-88838919
@srowen unit tests failed at run Python app on yarn-cluster mode, I think
this didn't cause by this PR, please ask jenkins to retest, thank you.
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Github user rxin commented on the pull request:
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Thanks. Merging in master.
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Github user maropu commented on the pull request:
https://github.com/apache/spark/pull/3247#issuecomment-88771801
Is it not possible to create that simple patch that removes DISTINCT
aggregation expressions?
We only add `distinct` as a field value in `AggregateExpresion`, and then
Github user asfgit closed the pull request at:
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Github user adrian-wang commented on a diff in the pull request:
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala ---
@@ -75,9 +76,9 @@ class JoinSuite extends QueryTest with BeforeAndAfterEach
{
Github user chenghao-intel commented on the pull request:
https://github.com/apache/spark/pull/5208#issuecomment-88772266
@adrian-wang I leave some comments, but I need some more time in review the
code of `SortMergeJoin`, will keep add more comments later. BTW, can you double
check
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Github user srowen commented on the pull request:
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Please update the title according to
https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark
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Github user srowen commented on a diff in the pull request:
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--- Diff: launcher/src/main/java/org/apache/spark/launcher/Main.java ---
@@ -101,12 +101,9 @@ public static void main(String[] argsArray) throws
Exception {
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Can one of the admins verify this patch?
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Github user srowen commented on a diff in the pull request:
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--- Diff:
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@@ -125,6 +125,7 @@ private[spark] class
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Github user srowen commented on the pull request:
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CC @vanzin; I tend to trust your judgment about this and it does seem like
Windows should have the same script. Does this only affect `master` / 1.4?
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--- Diff:
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Github user srowen commented on the pull request:
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The `streaming` failure may be transient, but tests in `repl`, `mllib` and
`core` are failing consistently, 3 times now, while other test runs for other
PRs do not show
Github user srowen commented on the pull request:
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Jenkins, retest this please.
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ping @jkbradley
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GitHub user MechCoder opened a pull request:
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[SPARK-5972] [MLlib] Cache residuals and gradient in GBT during training
and validation
The previous PR https://github.com/apache/spark/pull/4906 helped to extract
the learning curve giving the
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Github user chenghao-intel commented on a diff in the pull request:
https://github.com/apache/spark/pull/5208#discussion_r27634669
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SQLConf.scala ---
@@ -144,6 +145,12 @@ private[sql] class SQLConf extends Serializable {
Github user chenghao-intel commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/joins/SortMergeJoin.scala
---
@@ -0,0 +1,164 @@
+/*
+ * Licensed to the
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/5319#issuecomment-88779113
@vanzin do you mind making a PR for 1.2 branch for this fix?
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GitHub user tsudukim opened a pull request:
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[SPARK-6673] spark-shell.cmd can't start in Windows even when spark was
built
added equivalent script to load-spark-env.sh
You can merge this pull request into a Git repository by running:
$
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Jenkins, retest this please.
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Github user tanyinyan commented on the pull request:
https://github.com/apache/spark/pull/5055#issuecomment-88834566
If featureScaling is false, then we scale features internally but also
adjust regularization. This will improve optimization behavior but will not
change the optimal
GitHub user liyezhang556520 opened a pull request:
https://github.com/apache/spark/pull/5331
[SPARK-6676][BUILD] add more hadoop version support for maven profile
support `-Phadoop-2.5` and `-Phadoop-2.6` when building and testing Spark
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Github user tsudukim commented on the pull request:
https://github.com/apache/spark/pull/5227#issuecomment-88761331
Ah @vanzin, I didn't understand your suggestion. `CommandBuilderUtils`
needs modified to escape comma.
But I think we still need to modify `spark-class2.cmd` as
GitHub user chenghao-intel opened a pull request:
https://github.com/apache/spark/pull/5326
[SPARK-3862] [SQL] [WIP] MultiWayBroadcastJoin for LeftSemi Inner JOIN
Assume we have table `x`, `y`, `z`, and the `x` is the fact table with
large mount of data, and `y`, `z` are
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GitHub user pchanumolu opened a pull request:
https://github.com/apache/spark/pull/5327
Add status command to spark-daemon
SPARK-6671
Currently using the spark-daemon.sh script we can start and stop the spark
demons. But we cannot get the status of the daemons. It will be nice
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/joins/SortMergeJoin.scala
---
@@ -0,0 +1,164 @@
+/*
+ * Licensed to the Apache
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Github user tsudukim commented on the pull request:
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This problem is introduced by
https://github.com/apache/spark/commit/e3eb393961051a48ed1cac756ac1928156aa161f
https://issues.apache.org/jira/browse/SPARK-6406
So
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Github user adrian-wang commented on the pull request:
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Since the behavior is undefined in Scala, I think it is ok to return
anything, as I stated in comment.
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GitHub user mengxr opened a pull request:
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[SPARK-6672][SQL] convert row to catalyst in createDataFrame(RDD[Row], ...)
We assume that `RDD[Row]` contains Scala types. So we need to convert them
into catalyst types in createDataFrame.
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Github user chenghao-intel commented on the pull request:
https://github.com/apache/spark/pull/3247#issuecomment-88792541
OK, I got your mean, as I put into the description of this PR, we want to
make a unified UDAF interface in this PR, `DISTINCT` is quite critical for this
purpose,
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--- Diff:
launcher/src/main/java/org/apache/spark/launcher/CommandBuilderUtils.java ---
@@ -260,15 +260,14 @@ static String quoteForBatchScript(String arg) {
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--- Diff:
yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnClientSchedulerBackend.scala
---
@@ -125,6 +125,7 @@ private[spark] class
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala ---
@@ -75,9 +76,9 @@ class JoinSuite extends QueryTest with BeforeAndAfterEach
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Github user zsxwing commented on the pull request:
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:+1:
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Github user srowen commented on a diff in the pull request:
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--- Diff: sbin/spark-daemon.sh ---
@@ -195,6 +195,23 @@ case $option in
fi
;;
+ (status)
+
+if [ -f $pid ]; then
+
Github user Sephiroth-Lin commented on a diff in the pull request:
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--- Diff:
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@@ -125,6 +125,7 @@ private[spark] class
Github user kretes commented on the pull request:
https://github.com/apache/spark/pull/5246#issuecomment-89025763
I've expressed my opinion in that JIRA - what can I say.. I think it's
worth it, you think its' not. Stalemate
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--- Diff: yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala ---
@@ -609,6 +593,26 @@ private[spark] class Client(
throw new
Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/5256#issuecomment-89049353
There was some previous discussion of localhost vs 127.0.0.1 at #3425 and I
think the conclusion there was against this change. @davies, do your comments
there about
GitHub user vanzin opened a pull request:
https://github.com/apache/spark/pull/5335
[SPARK-4194] [core] Make SparkContext initialization exception-safe.
SparkContext has a very long constructor, where multiple things are
initialized, multiple threads are spawned, and multiple
Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/5236#issuecomment-89052524
Thanks for working on this @ilganeli. I will take a look at this in the
next day or two.
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