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Thanks! Merging!
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--- Diff:
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---
@@ -291,28 +278,27 @@ class
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--- Diff:
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---
@@ -58,14 +58,46 @@ class
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@@ -87,6 +89,12 @@ private[sql] object
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/9383#issuecomment-153434983
> Currently, the old one is broken, I'd to remove that one.
@davies, are you referring to the old Aggregate1 interface or the old
implementation of sort
Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/8995#issuecomment-153439396
I've opened #9439 to take this over. @a-roberts, do you mind closing this
one for now?
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Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/8669#discussion_r43784748
--- Diff: sbin/start-slaves.sh ---
@@ -52,11 +51,11 @@ if [ "$SPARK_MASTER_IP" = "" ]; then
fi
if [ "$START_TACHYON" == "true" ]; then
-
Github user dusenberrymw commented on the pull request:
https://github.com/apache/spark/pull/9441#issuecomment-153454390
@holdenk Could you review this and provide any thoughts you may have?
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--- Diff:
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@@ -258,7 +258,9 @@ public void testSampleBy() {
DataFrame df
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Github user shivaram commented on the pull request:
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Thanks @Lewuathe -- LGTM. This is good to go if you can revert the change
to the `DESCRIPTION` file.
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Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/9399#issuecomment-153440296
Let's also have some test cases that having a column that is used in
handled filters as well as in unhandled/unconvertible filters.
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Github user asfgit closed the pull request at:
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Github user JoshRosen commented on a diff in the pull request:
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/9432#issuecomment-153452389
This LGTM being basically a copy of the existing approach in
`start-thriftserver.sh` et al. It does not appear to interfere with any
existing usage of the scripts since
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Github user vanzin commented on the pull request:
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@steveloughran you have to choose the right target branch when submitting
the PR. Can you close this one and open a new one with the correct target
branch?
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Github user brkyvz commented on the pull request:
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@tdas @zsxwing This is ready for another pass
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Github user rxin commented on the pull request:
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OK great. @viirya can you submit a followup pr to address @yhuai's feedback.
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Github user shivaram commented on a diff in the pull request:
https://github.com/apache/spark/pull/9394#discussion_r43780243
--- Diff: R/pkg/DESCRIPTION ---
@@ -35,3 +35,4 @@ Collate:
'sparkR.R'
'stats.R'
'utils.R'
+RoxygenNote: 5.0.0
--- End diff
Github user darabos commented on the pull request:
https://github.com/apache/spark/pull/9355#issuecomment-153429008
I've done an artificial test with Spark 1.5.1 and got the `#
-XX:OnOutOfMemoryError="kill %p"` message on stderr. Maybe I just missed this
originally, or in fact
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Github user yhuai commented on the pull request:
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I will merge it once it passes jenkins. Let's have a test to make sure
those handled filters will not show up in the Filter operator.
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GitHub user JoshRosen opened a pull request:
https://github.com/apache/spark/pull/9439
[SPARK-10949] Update Snappy version to 1.1.2
This is an updated version of #8995 by @a-roberts. Original description
follows:
Snappy now supports concatenation of serialized streams,
Github user rxin closed the pull request at:
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Github user markhamstra commented on the pull request:
https://github.com/apache/spark/pull/8923#issuecomment-153438669
@squito I guess the only issue with that is whether we will ever have need
in the future to get the ancestor shuffle dependencies without registering
them. I doubt
Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/9383#discussion_r43784097
--- Diff:
core/src/main/java/org/apache/spark/util/collection/unsafe/sort/UnsafeExternalSorter.java
---
@@ -386,6 +386,18 @@ public void
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Github user davies commented on the pull request:
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@JoshRosen I meant the old implementation of switching, it's broken in
master (not 1.5 branch), had not figured out the root cause.
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@wzhfy The first part change is good (remove dialectClassName). But other
one may introduce regression, when you have `spark.sql.dialect sql` in
conf/spark-default.conf,
Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/9383#discussion_r43787218
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@@ -291,28 +278,27 @@ class
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Github user JoshRosen commented on the pull request:
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@davies: in the stacktrace that you posted, it looks like it's failing when
trying to update a string column when extracting a partial aggregate result
from an input
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Github user JihongMA commented on the pull request:
https://github.com/apache/spark/pull/9380#issuecomment-153453307
I propose to return null for all cases which currently Double.NaN is
returned. and change getStatistics() to return Any instead of Double.
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GitHub user nongli opened a pull request:
https://github.com/apache/spark/pull/9442
[SPARK-11483] [SQL] Cleanup from spark-11329 fix.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/nongli/spark spark-11483
Alternatively you
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Github user squito commented on the pull request:
https://github.com/apache/spark/pull/8314#issuecomment-153419725
I think I've fixed the easy stuff (though I was lazy on
`DataFrameStatSuite`, I kept it to just checking the values that happen to come
out, rather than using a bound,
Github user markhamstra commented on the pull request:
https://github.com/apache/spark/pull/8923#issuecomment-153423715
@suyanNone Yes, do check uniqueness, and if that looks fine, then there
isn't really a reason to use a Stack instead of Set for `parents`.
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Github user srowen commented on the pull request:
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OK np thanks for checking that.
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/TungstenAggregationIterator.scala
---
@@ -762,15 +679,7 @@ class
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--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -1611,8 +1611,14 @@ class SparkContext(config: SparkConf) extends
Logging with
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--- Diff:
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@@ -0,0 +1,146 @@
+/*
+ * Licensed to the Apache
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Github user squito commented on the pull request:
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I see, so this comes from a "diamond" dependency. I'm not seeing that in
your "after" image though -- am I just missing it with too many criss-crossing
lines? I'm
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Github user JihongMA commented on the pull request:
https://github.com/apache/spark/pull/9380#issuecomment-153451606
so for skewness and kurtosis in case of count =1, we want to return null
instead of 0. I can address it, but instead of returning Double.NaN, should we
return null
Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/9419#issuecomment-153451771
@chenghao-intel @hvanhovell Unit test cases are added. Will finish the code
for resolving the comments by @holdenk @rick-ibm
@rxin @marmbrus @liancheng
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+/*
+ * Licensed to the Apache
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Changed it to ./sbin/start-worker.sh and ./sbin/start-master.sh
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Github user squito commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala ---
@@ -83,8 +74,6 @@ private[spark] class TaskSetManager(
val
Github user davies commented on a diff in the pull request:
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--- Diff:
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@@ -762,15 +679,7 @@ class
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Github user yu-iskw commented on the pull request:
https://github.com/apache/spark/pull/9380#issuecomment-153462689
@JihongMA I'm not sure about that. I don't think we should return `null`,
instead of `Double.NaN`. Why do we need to change the return type?
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/9442#issuecomment-153462638
Dumb question, but why wasn't this part of SPARK-11329? or attached to it?
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Github user aray commented on a diff in the pull request:
https://github.com/apache/spark/pull/9429#discussion_r43810369
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -205,45 +205,30 @@ class Analyzer(
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