Github user uncleGen commented on the issue:
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@HyukjinKwon Sorry for the long absence. I will keep online for next period
of time. Please give me some time.
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Github user uncleGen commented on the issue:
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cc @zsxwing and @tdas
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GitHub user uncleGen opened a pull request:
https://github.com/apache/spark/pull/17896
[SPARK-20373][SQL][SS] Batch queries with
'Dataset/DataFrame.withWatermark()` does not execute
## What changes were proposed in this pull request?
Any Dataset/DataFrame batch query with
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Github user Mobe91 commented on the issue:
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When is this going the be merged? Would be really useful.
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Github user viirya commented on the issue:
https://github.com/apache/spark/pull/17874
Maybe another point of view is, we can split `df.select("y").where("x=1")`
to two different DataFrames:
val onlyY = df.select("y") // The schema of onlyY is just "y" attribute
Github user HyukjinKwon commented on the issue:
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Test results are fine. I think my question is why this happens and how the
current change solves the issue above. Another question is, does second run of
the test cases fail due to this?
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Github user viirya commented on the issue:
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`select a from t where b > 0` works. However, it can be seen logically as:
Project [a]
Filter [b > 0]
Relation t [a, b]
It seems to me Spark also parses the
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Github user asfgit closed the pull request at:
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Github user cloud-fan commented on the issue:
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in postgres, `select a from t where b > 0` can work, I think it's
reasonable if `df.select("y").where("x=1")` works in spark.
```
Seq(1).toDF("c1").createOrReplaceTempView("onerow")
Github user ueshin commented on the issue:
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Thanks! Merging to master.
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17222#discussion_r115166927
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/UDFRegistration.scala ---
@@ -475,20 +475,42 @@ class UDFRegistration private[sql]
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Github user cloud-fan commented on the issue:
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thanks, merging to master!
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Can one of the admins verify this patch?
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GitHub user fjh100456 opened a pull request:
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Branch 2.0
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was this patch tested?
(Please explain how this
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GitHub user VinceShieh opened a pull request:
https://github.com/apache/spark/pull/17894
[SPARK-17134][ML] Use level 2 BLAS operations in LogisticAggregator
## What changes were proposed in this pull request?
Multinomial logistic regression uses LogisticAggregator class for
Github user heary-cao commented on the issue:
https://github.com/apache/spark/pull/17869
@HyukjinKwon
this changes before and after deleting files log information:
**Before changes**
> Run the unit test: SortShuffleManager properly cleans up files for
shuffles that
Github user viirya commented on the issue:
https://github.com/apache/spark/pull/17770
I've removed the path of `resolveOperators`. After ran the same benchmark,
I didn't find obvious performance regression. @hvanhovell @marmbrus @cloud-fan
@rxin @srinathshankar
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Github user mridulm commented on the issue:
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This is not required anymore - post @squito's change.
Though it cant hurt I guess.
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Github user lshmouse commented on the issue:
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Pending. I am formatting the pull name~
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GitHub user lshmouse opened a pull request:
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FileFormatWriter wrap the FetchFailedException which breaks job's failover
## What changes were proposed in this pull request?
Handle the fetch failed exception separately in FileFormatWriter.
Github user xuanyuanking commented on the issue:
https://github.com/apache/spark/pull/17702
@gatorsmile @cloud-fan, do we need other performance test?
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Github user viirya commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ---
@@ -196,6 +196,14 @@ object SQLConf {
.booleanConf
Github user viirya commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ---
@@ -196,6 +196,14 @@ object SQLConf {
.booleanConf
Github user viirya commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/ParserUtils.scala
---
@@ -68,6 +68,11 @@ object ParserUtils {
/** Convert
Github user HyukjinKwon commented on the issue:
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LGTM too.
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Github user ueshin commented on the issue:
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LGTM, pending Jenkins.
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GitHub user felixcheung reopened a pull request:
https://github.com/apache/spark/pull/17892
[SPARK-20626][SPARKR] address date test warning with timezone on windows
## What changes were proposed in this pull request?
set timezone on windows
## How was this patch
Github user felixcheung closed the pull request at:
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Github user felixcheung commented on the issue:
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similar flaky test around ml, with this in the log
```
Exception in thread "SparkListenerBus" java.lang.IllegalAccessError:
Attempted to access garbage collected accumulator 50693
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Github user ueshin commented on the issue:
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Jenkins, retest this please.
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--- Diff: R/pkg/vignettes/sparkr-vignettes.Rmd ---
@@ -1079,19 +1079,19 @@ There are three main object classes in SparkR you
may be working with.
Github user asfgit closed the pull request at:
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merged to master.
thank you for working on this and hopefully we could really improve a lot
of the things we have discussed. ð
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Github user actuaryzhang commented on a diff in the pull request:
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--- Diff: R/pkg/vignettes/sparkr-vignettes.Rmd ---
@@ -405,7 +405,7 @@ result <- gapply(
head(arrange(result, "max_mpg", decreasing = TRUE))
Github user actuaryzhang commented on a diff in the pull request:
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--- Diff: R/pkg/vignettes/sparkr-vignettes.Rmd ---
@@ -1079,19 +1079,19 @@ There are three main object classes in SparkR you
may be working with.
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GitHub user felixcheung opened a pull request:
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[SPARK-20626][SPARKR] address date test warning with timezone on windows
## What changes were proposed in this pull request?
set timezone on windows
## How was this patch
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/17887
Generally, it looks reasonable to me. Also cc @jodersky who hit this issue
before.
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--- Diff:
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@@ -196,6 +196,14 @@ object SQLConf {
.booleanConf
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Github user danielyli commented on the issue:
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Thanks all.
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/**
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Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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@@ -196,6 +196,14 @@ object SQLConf {
.booleanConf
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/predicates.scala
---
@@ -137,32 +137,46 @@ case class In(value:
Github user dilipbiswal commented on a diff in the pull request:
https://github.com/apache/spark/pull/17713#discussion_r115154718
--- Diff:
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@@ -386,16 +386,12 @@ trait CheckAnalysis extends
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retest this please
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Github user gatorsmile commented on the issue:
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LGTM except minor comments.
cc @hvanhovell
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--- Diff:
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@@ -137,32 +137,46 @@ case class In(value:
Github user asfgit closed the pull request at:
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Github user gatorsmile commented on the issue:
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Thanks! Merging to master.
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Github user gatorsmile commented on the issue:
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The SQL document update can be a separate PR. Thanks for your work!
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Github user gatorsmile commented on the issue:
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LGTM
`[SPARK-16931][PYTHON][SQL] Add Python wrapper for bucketBy` ->
`[SPARK-16931][PYTHON][SQL] Add Python wrapper for bucketBy and sortBy`
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Github user gatorsmile commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -563,6 +563,63 @@ def partitionBy(self, *cols):
self._jwrite =
Github user gatorsmile commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -563,6 +563,63 @@ def partitionBy(self, *cols):
self._jwrite =
Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/17825
could you keep the description and return type in the same order in this
https://github.com/apache/spark/pull/17825#discussion_r115113331
it's not great, but it's the best we can do
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/17825#discussion_r115152814
--- Diff: R/pkg/R/DataFrame.R ---
@@ -3745,3 +3745,26 @@ setMethod("hint",
jdf <- callJMethod(x@sdf, "hint", name, parameters)
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/17891
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https://github.com/apache/spark/pull/17891
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