GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/11658
[SPARK-][SQL] Can't add subquery to an operator with same-name outputs
while generate SQL string
## What changes were proposed in this pull request?
This PR tries to solve a fundamen
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/11656
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Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/11656#issuecomment-195382124
I'm going to merge this to bring MiMA back.
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Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/11318#discussion_r55832602
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1217,29 +1217,38 @@ setMethod("[[", signature(x = "DataFrame", i =
"numericOrcharacter"),
#' @rdname subset
Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/11318#discussion_r55831536
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1271,12 +1280,8 @@ setMethod("[", signature(x = "DataFrame", i =
"Column"),
#' subset(df, select = c(1,2))
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/11500
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Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/11500#issuecomment-195371687
+1
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Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/11512#issuecomment-195370827
Yes its only if they explicitly System.exit. Or someone puts a System.exit
back into Spark but that shouldn't happen except on failure.
ok @jerryshao can yo
Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/11318#discussion_r55830076
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1217,29 +1217,38 @@ setMethod("[[", signature(x = "DataFrame", i =
"numericOrcharacter"),
#' @rdname subset
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Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/11635#discussion_r55822929
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
---
@@ -932,6 +933,33 @@ object PushPredicateThroughGenerat
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Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/11635#discussion_r55822686
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala ---
@@ -268,7 +268,14 @@ package object dsl {
Aggregate
Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/11635#discussion_r55822634
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
---
@@ -932,6 +933,33 @@ object PushPredicateThroughGenerat
GitHub user srowen opened a pull request:
https://github.com/apache/spark/pull/11657
[SPARK-13823] [CORE] [STREAMING] [SQL] Always specify Charset in String <->
byte[] conversions (and remaining Coverity items)
## What changes were proposed in this pull request?
- Fixes cal
Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/11644#issuecomment-195342004
LGTM. (By the way Bjorn fields a lot of support issues for Spark and this
is apparently a frequent source of questions/confusion. Great if a simple
message change can pr
Github user lw-lin closed the pull request at:
https://github.com/apache/spark/pull/11650
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Github user lw-lin commented on the pull request:
https://github.com/apache/spark/pull/11650#issuecomment-195335583
Sure, I'll close this for now. Thanks for your time!
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Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/11656#issuecomment-195334485
Verified that MiMA check had been triggered and passed successfully.
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Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/11178#issuecomment-195323566
@JoshRosen MiMA check is re-enabled in PR #11656.
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Github user kiszk commented on the pull request:
https://github.com/apache/spark/pull/11636#issuecomment-195323234
@nongli , here is another example.
Spark code with two columns
sqlContext.conf.setConfString(SQLConf.PARQUET_VECTORIZED_READER_ENABLED.key,
"tru
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Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/11318#issuecomment-195316072
https://stat.ethz.ch/R-manual/R-devel/library/base/html/Extract.data.frame.html
here for reference
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Github user sarutak commented on the pull request:
https://github.com/apache/spark/pull/11301#issuecomment-195311336
@kiszk O.K, let's focus on `Expression`s in this PR.
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Github user sarutak commented on a diff in the pull request:
https://github.com/apache/spark/pull/11301#discussion_r55813906
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala
---
@@ -60,20 +61,20 @@ object CurrentOrigin {
def res
Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/11650#issuecomment-195308817
@lw-lin it's not worth bothering with a PR for something this trivial.
Consider running a bigger check for misspelling etc if you're going to. This
still costs like an h
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Imputer.scala ---
@@ -0,0 +1,290 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
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Github user steveloughran commented on a diff in the pull request:
https://github.com/apache/spark/pull/11152#discussion_r55810810
--- Diff: docs/monitoring.md ---
@@ -273,8 +309,8 @@ for a running application, at
`http://localhost:4040/api/v1`.
Download the event logs for
Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/11652#issuecomment-195303544
Jenkins, retest this please
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GitHub user liancheng opened a pull request:
https://github.com/apache/spark/pull/11656
[SPARK-13817][BUILD][SQL] Re-enable MiMA and removes object DataFrame
## What changes were proposed in this pull request?
PR #11443 temporarily disabled MiMA check, this PR re-enables it.
Github user steveloughran commented on a diff in the pull request:
https://github.com/apache/spark/pull/11152#discussion_r55810591
--- Diff: docs/monitoring.md ---
@@ -229,10 +229,28 @@ for a running application, at
`http://localhost:4040/api/v1`.
A list of all application
Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/11601#discussion_r55810108
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Imputer.scala ---
@@ -0,0 +1,290 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
Github user viirya commented on the pull request:
https://github.com/apache/spark/pull/11647#issuecomment-195302187
I was measuring the time to finish the code snippet shown in pr
description. But I think I should only measure the time spent on `val actual =
Optimize.execute(plan)`.
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Github user lw-lin commented on the pull request:
https://github.com/apache/spark/pull/11650#issuecomment-195299373
@rxin @zsxwing Would you take a look when you have time? Thanks!
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@@ -0,0 +1,290 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/11655
[SPARK-13816][Graphx] Add parameter checks for algorithms in Graphx
JIRA: https://issues.apache.org/jira/browse/SPARK-13816
## What changes were proposed in this pull request?
Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/10355#discussion_r55806405
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/types/AbstractDataType.scala
---
@@ -151,7 +151,7 @@ abstract class NumericType extends AtomicType
Github user zhengruifeng commented on the pull request:
https://github.com/apache/spark/pull/11651#issuecomment-195265628
@srowen I think so, I have reviewed all python examples.
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/11651#issuecomment-195264239
I think that's fine. Is this all we can find in Python examples?
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Github user srowen commented on the pull request:
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Returning a value by modifying an arg in place is exceptional, but I don't
think it's something that can never happen. This is a case where it should, and
it's done and
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Github user sameeragarwal commented on the pull request:
https://github.com/apache/spark/pull/11618#issuecomment-195254941
@gatorsmile instead of having a special rule for join, we can probably
infer all possible filters based on constraints (... something along the lines
of
https://
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Github user MLnick commented on the pull request:
https://github.com/apache/spark/pull/11654#issuecomment-195254726
Cool - sorry about that, Jenkins had passed for PR #11392 but before PR
#11443 was merged :(
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Jenkins, test this please
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Github user liancheng closed the pull request at:
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Github user liancheng commented on the pull request:
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@MLnick Thanks! Closing this in favor of #11653.
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Github user asfgit closed the pull request at:
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Github user MLnick commented on the pull request:
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@liancheng I'm merging #11653 now, so this PR can be closed.
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Github user zhengruifeng commented on the pull request:
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it sames something wrong in JavaMaxAbsScalerExample...
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Github user MLnick commented on the pull request:
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@liancheng I've opened a PR already for this #11653
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GitHub user liancheng opened a pull request:
https://github.com/apache/spark/pull/11654
[HOTFIX][SQL] Fixes compilation failure caused by conflicts between PR
#11392 and PR #11443
## What changes were proposed in this pull request?
PR #11392 was merged after PR #11443, whic
Github user SparkQA commented on the pull request:
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Github user srowen commented on the pull request:
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I like the principle, but passing around an error message as an arg to
`SparkEnv` makes this tiny aspect leak too much into the API. If it's just to
be able to report wh
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