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Y
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -2083,22 +2083,57 @@ class Dataset[T] private[sql](
* @group untypedrel
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* @group untypedre
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* @group untypedre
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cc @thunterdb @cloud-fan @gatorsmile
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[SPARK-22179] percentile_approx should choose the first element for small
percentage
## What changes were proposed in this pull request?
percentile_approx should choose the first element for
Github user holdenk commented on the issue:
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Sounds good :)
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ok to remove the option in this pr?
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passed
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Yeah, please remove it.
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IMHO we could drop the option safely. cc: @eatoncys
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--- Diff: sql/core/src/test/resources/sql-tests/inputs/group-by.sql ---
@@ -30,8 +30,15 @@ SELECT a + 2, COUNT(b) FROM testData GROUP BY a + 1;
SELECT a
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Do we still need `spark.sql.codegen.maxLinesPerFunction`?
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@@ -2102,25 +2102,31 @@ class SQLQuerySuite extends QueryTest with
Shared
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@@ -30,8 +30,15 @@ SELECT a + 2, COUNT(b) FROM testData GROUP BY a + 1;
SELEC
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retest this please.
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It seems jenkins gets sleep
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retest this please.
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[SPARK-22178] [SQL] Refresh Persistent Views by REFRESH TABLE Command
## What changes were proposed in this pull request?
The underlying tables of persistent views are not refreshed when user
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Seems to be apache spark git/jenkins issue.Please retest after a
while.thanks
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retest this please.
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retest this please.
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retest this please
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@@ -585,10 +586,22 @@ object SQLConf {
.doc("The maximum lines
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@@ -585,10 +586,22 @@ object SQLConf {
.doc("The maximum lines
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@@ -238,7 +238,7 @@ class Dataset[T] private[sql](
private[sql] def showString
GitHub user rekhajoshm opened a pull request:
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[SPARK-21760] [Streaming] Fix for Structured streaming terminates with
Exception
## What changes were proposed in this pull request?
Updated serialize call for flush and FSDataOutputStream h
Github user felixcheung commented on the issue:
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building your change here #19403
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first build
https://ci.appveyor.com/project/ApacheSoftwareFoundation/spark/build/1803-master
second build
https://ci.appveyor.com/project/ApacheSoftwareFoundation/spark/build/1804-master
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hmm, it looks like it is working perhaps the github.com indicator is broken
https://ci.appveyor.com/project/ApacheSoftwareFoundation/spark
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[R][BUILD][WIP] test
## What changes were proposed in this pull request?
test appveyor
You can merge this pull request into a Git repository by running:
$ git pull https://github
Github user felixcheung commented on the issue:
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I'm not sure why appveyor is not triggered...
but I thought this is more of a java/scala change. since jenkins passes and
if you have verified release-build.sh works with this with zinc on th
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.doc("The maximum l
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Github user holdenk commented on the issue:
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@felixcheung can you trigger the R tests for this?
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@@ -238,7 +238,7 @@ class Dataset[T] private[sql](
private[sql] def showSt
Github user pgandhi999 commented on the issue:
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No problem, @ajbozarth , and thank you for your valuable feedback. I really
appreciate it.
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Github user holdenk commented on the issue:
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That _should_ work more simply, thanks. I'll try that later on tonight.
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Github user rxin commented on the issue:
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What's the difference between this one and the transform function you also
proposed? I'm trying to see if all the naming makes sense when considered
together.
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Github user adrian-ionescu commented on the issue:
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At least part of the issue was solved by #19201.
Unless we have a repro case, let's not pursue this.
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Github user shaneknapp commented on the issue:
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@felixcheung -- yes, this is the system default lintr, meaning all calls
to lintr will be against this version.
as for other branches, i think it could possibly break them.
@sh
Github user felixcheung commented on a diff in the pull request:
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--- Diff: core/pom.xml ---
@@ -499,7 +499,7 @@
-
..${file.separator}R${file.sep
Github user felixcheung commented on the issue:
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btw, lintr once upgraded will run on all builds on all branches right?
wouldn't the upgrade break other branches?
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Github user steveloughran commented on the issue:
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One other thing that would be good now and invaluable in future is for the
`DataWriter.commit()` call to return a `Map[String,Long]` of statistics
alongside the message sent to the committer.
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Github user icexelloss commented on the issue:
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@rxin This is similar to flatMapGroups since the return value of the user
function is a list of rows (pd.DataFrame) rather than a single row.
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Github user holdenk commented on the issue:
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Github user holdenk commented on the issue:
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GitHub user holdenk opened a pull request:
https://github.com/apache/spark/pull/19402
[SPARK-22167][R][BUILD] sparkr packaging issue allow zinc
## What changes were proposed in this pull request?
When zinc is running the pwd might be in the root of the project. A
quick
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/19401
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Github user mgaido91 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19340#discussion_r142006352
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala ---
@@ -546,10 +574,88 @@ object KMeans {
.run(data)
}
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/19401#discussion_r142006295
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -238,9 +238,15 @@ class Dataset[T] private[sql](
private[sql] def showStrin
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