Github user amitdev commented on the pull request:
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Thanks @srowen. I've mentioned dependencies on Ruby, Python and cleaned up
the doc a little.
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@@ -105,75 +107,129 @@ case class BroadcastHashJoin(
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--- Diff:
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@@ -105,6 +105,18 @@ class LogicalPlanToSQLSuite extends SQLBuilder
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@@ -105,6 +105,18 @@ class LogicalPlanToSQLSuite extends SQLBuilder
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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@@ -216,6 +216,8 @@ class Analyzer(
Grouping
Github user gatorsmile commented on the pull request:
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Thanks for your reviews! @rxin
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--- Diff:
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+/*
+ * Licensed to the Apache Software Fo
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Github user asfgit closed the pull request at:
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Github user rxin commented on the pull request:
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I've merged this in master.
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I've merged this.
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Github user yinxusen commented on the pull request:
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@keypointt I recommend adding the following code to the example, too. Then
delete previous code from line 55-67. Meanwhile, we should move the line 53
ahead and rephra
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Can one of the admins verify this patch?
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GitHub user JeremyNixon opened a pull request:
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SPARK-13312 [MLlib]
Response to JIRA https://issues.apache.org/jira/browse/SPARK-13312.
This contribution is my original work and I license the work to this
project.
You can merge thi
Github user adrian-wang commented on the pull request:
https://github.com/apache/spark/pull/9589#issuecomment-183811059
@marmbrus We have instantiated and started a instance of `CliSessionState`,
and when we init `SparkSQLEnv`, we will create a `SessionState`.
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Looks like this hung in `BlockManagerReplicationSuite`. I'll investigate.
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+ * Licensed to the Apache
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Github user carsonwang commented on the pull request:
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@srowen The 20 seconds improvements is the difference of the stage time.
i.e. before the patch, the stage runs 1.6 min. With this path it runs 1.2 min.
It takes abou
Github user davies commented on a diff in the pull request:
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--- Diff:
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@@ -118,6 +120,30 @@ private[sql] case class PhysicalRDD(
val
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Github user yinxusen commented on the pull request:
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retest it please
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cc @zsxwing
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Github user mwws commented on the pull request:
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@zsxwing, we have real use case that data integrity is important, but at
the same time, we can not afford extra time cost of WAL with limited data
processing power/host. (
Github user davies commented on the pull request:
https://github.com/apache/spark/pull/11181#issuecomment-183796248
BTW, these movement will make us harder to find out the history of the
changes, i'd like to not do that if it's not too bad.
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Github user davies commented on the pull request:
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LGTM
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Github user asfgit closed the pull request at:
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Github user rxin commented on the pull request:
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We could consider adding a partition local limit or some hint at some point
in the parser.
cc @hvanhovell
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Github user viirya commented on the pull request:
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@mengxr ok. I will do the backports.
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Github user yinxusen commented on the pull request:
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test it please
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Github user aramesh117 commented on the pull request:
https://github.com/apache/spark/pull/11122#issuecomment-183791928
@zsxwing Any more issues that you can see?
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Github user yinxusen commented on the pull request:
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@mengxr I add two summary variables `cluster` and `size` in `KMeansModel`
to resemble counterparts in R's kmeans. IMHO even though
`summary(kmeans.model)` looks incomp
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/11181#issuecomment-183791464
@davies this did pass tests - just some lingering thing that made the
timeout.
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Github user rxin commented on the pull request:
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Looks more robust this way. I will let @liancheng do the final reviews and
merge.
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Github user adrian-wang commented on the pull request:
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@srowen you are right.
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Github user sun-rui commented on a diff in the pull request:
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--- Diff: R/pkg/inst/tests/testthat/test_mllib.R ---
@@ -113,3 +113,18 @@ test_that("summary works on base GLM models", {
baseSummary <- summary(baseMo
Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/10527#discussion_r52836278
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -1931,6 +1931,40 @@ object functions extends LegacyFunctions {
new Murmu
Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/10527#discussion_r52836274
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -1931,6 +1931,40 @@ object functions extends LegacyFunctions {
new Murmu
Github user davies commented on the pull request:
https://github.com/apache/spark/pull/11100#issuecomment-183790347
@gatorsmile I think you can check `GROUPING__ID` in
ResolveGroupingAnalytics, then raise an error
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--- Diff:
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@@ -125,7 +125,7 @@ class HiveQuerySuite extends HiveCompariso
Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/11100#discussion_r52836219
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -216,6 +216,8 @@ class Analyzer(
GroupingSets
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Github user SparkQA commented on the pull request:
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Github user SparkQA commented on the pull request:
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GitHub user gatorsmile opened a pull request:
https://github.com/apache/spark/pull/11198
[SPARK-13310] [SQL] Resolve Missing Sorting Columns in Generate
```scala
// case 1: missing sort columns are resolvable if join is true
sql("SELECT explode(a) AS val, b FROM data WHERE b
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/10152#discussion_r52835896
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala ---
@@ -289,24 +301,20 @@ class Word2Vec extends Serializable with Logging {
Github user SparkQA commented on the pull request:
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Github user JoshRosen commented on the pull request:
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Jenkins retest this please
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Github user SparkQA commented on the pull request:
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/10539#issuecomment-183776074
@viirya If it doesn't take you much time, could you prepare backports for
branch-1.4 and branch-1.3? I guess we only need to remove the Python changes.
This is not high-
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