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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/14624
@mvervuurt Could you please double check this one? I am pretty sure I
checked out this PR and then tested this correctly.
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Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/14640
Thanks for making this issue and PR :) The first thing before people are
likely to have the bandwith to review this is we are switching all new ML
development to Spark ML from MLlib so it might be
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/14580
Rebased.
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Github user srowen commented on the issue:
https://github.com/apache/spark/pull/12695
Let's close this PR
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Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/14628
Awesome thanks for taking the time to do this. A few follow up questions:
1) So this is happening with the default tree depth (2) did you try it with
other depths?
2) Have you had a chance
Github user shivaram commented on the issue:
https://github.com/apache/spark/pull/14639
@zjffdu Lets discuss why this was introduced more in the JIRA. Regd. the
code change, on my Mac `$HOME` is set without any custom changes on my side.
Any ideas when this will not be the case ?
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/14524#discussion_r74780485
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala ---
@@ -126,13 +126,15 @@ private[python] class PythonMLLibAPI extends
Github user srowen commented on the issue:
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Jenkins add to whitelist
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GitHub user andreweduffy opened a pull request:
https://github.com/apache/spark/pull/14649
[SPARK-17059][SQL] Allow FileFormat to specify partition pruning strategy
## What changes were proposed in this pull request?
Different FileFormat implementations may be able to make
Github user robert3005 commented on a diff in the pull request:
https://github.com/apache/spark/pull/14615#discussion_r74788858
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/json/JsonFileFormat.scala
---
@@ -84,7 +84,7 @@ class JsonFileFormat
Github user robert3005 commented on a diff in the pull request:
https://github.com/apache/spark/pull/14615#discussion_r74789001
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -2494,16 +2494,18 @@ class Dataset[T] private[sql](
* @since 2.0.0
Github user mvervuurt commented on the issue:
https://github.com/apache/spark/pull/14624
My bad about the other pull request. This one is the correct one ;)
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Github user hvanhovell commented on the issue:
https://github.com/apache/spark/pull/14620
@jiangxb1987 are you also adding tests for the remaining `ParserUtils`
methods?
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Github user tedyu commented on the issue:
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@rxin
Can you take a look at the python API one more time ?
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Github user shivaram commented on the issue:
https://github.com/apache/spark/pull/14392
`spark.gaussianMixture` sounds good to me.
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GitHub user skonto opened a pull request:
https://github.com/apache/spark/pull/14650
[SPARK-17062][MESOS] add conf option to mesos dispatcher
## What changes were proposed in this pull request?
Adds --conf option to set spark configuration properties in mesos
dispacther.
Github user shivaram commented on a diff in the pull request:
https://github.com/apache/spark/pull/14182#discussion_r74798929
--- Diff: R/pkg/R/generics.R ---
@@ -1279,6 +1279,11 @@ setGeneric("spark.naiveBayes", function(data,
formula, ...) { standardGeneric("s
#' @export
Github user yhuai commented on the issue:
https://github.com/apache/spark/pull/14634
Sorry. What's the necessity to make this change?
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Github user davies commented on the issue:
https://github.com/apache/spark/pull/11956
@kiszk I'm sorry that I do not have the bandwidth to review this,
https://github.com/apache/spark/pull/13899/files sounds like an easier approach
(have not looked into the details), how do you think
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/14522
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Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/14580#discussion_r74811155
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
---
@@ -1334,12 +1334,19 @@ object EliminateOuterJoin
Github user tnachen commented on the issue:
https://github.com/apache/spark/pull/14644
@srowen Mesos also supports node labels as well (which is how constraints
is implemented in Spark framework). However GPUs are implemented as a resource
(as we want to account for # of GPUs instead
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Github user frreiss commented on a diff in the pull request:
https://github.com/apache/spark/pull/14151#discussion_r74804217
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ---
@@ -533,6 +533,12 @@ object SQLConf {
Github user shivaram commented on the issue:
https://github.com/apache/spark/pull/14522
Yeah LGTM. Merging this to master, branch-2.0 -- Thanks @junyangq
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Github user vanzin commented on the issue:
https://github.com/apache/spark/pull/14468
Given the overwhelming amount of feedback, merging to master.
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Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/13796#discussion_r74805503
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -945,13 +955,139 @@ class BinaryLogisticRegressionSummary
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/14579#discussion_r74811199
--- Diff: python/pyspark/rdd.py ---
@@ -188,6 +188,12 @@ def __init__(self, jrdd, ctx,
jrdd_deserializer=AutoBatchedSerializer(PickleSeri
Github user SparkQA commented on the issue:
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Github user kiszk commented on the issue:
https://github.com/apache/spark/pull/13758
Thank you for your comment. We are on the same page to address the problem.
In this case, you are right. This is because we finally would like to write
an primitive int array
Github user shivaram commented on the issue:
https://github.com/apache/spark/pull/14626
I had one minor question about partitionBy -- otherwise change LGTM. Thanks
@felixcheung
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Github user frreiss commented on a diff in the pull request:
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--- Diff:
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@@ -39,6 +39,11 @@ class TextSuite extends QueryTest
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Github user kiszk commented on the issue:
https://github.com/apache/spark/pull/11956
@davies, thank you for your comment. I hope that you will have bandwidth
soon since Spark 2.0 was released.
[this PR](https://github.com/apache/spark/pull/13899/files) does the same
thing. In
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Github user markhamstra commented on the issue:
https://github.com/apache/spark/pull/12436
See https://issues.apache.org/jira/browse/SPARK-17064
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Github user asfgit closed the pull request at:
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Github user mgummelt commented on the issue:
https://github.com/apache/spark/pull/11157
woot
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Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/14371#discussion_r74814338
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/util/FileBasedWriteAheadLog.scala
---
@@ -231,13 +232,17 @@ private[streaming] class
Github user hvanhovell commented on the issue:
https://github.com/apache/spark/pull/14580
@gatorsmile I am trying to understand you comment. Why shouldn't we use
`full outer` in combination with `using`? I am under the impression that using
is just a bit of syntactic sugar. For
Github user markhamstra commented on the issue:
https://github.com/apache/spark/pull/14557
There are multiple issues with this PR. Some are at a more stylistic
level, but some include deeper issues -- e.g. see SPARK-17064. Most
fundamentally, this PR is the wrong solution at least
Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/14568#discussion_r74801826
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/MonotonicallyIncreasingID.scala
---
@@ -81,3 +91,12 @@ case class
Github user shivaram commented on a diff in the pull request:
https://github.com/apache/spark/pull/14626#discussion_r74803446
--- Diff: R/pkg/R/generics.R ---
@@ -152,9 +146,9 @@ setGeneric("getNumPartitions", function(x) {
standardGeneric("getNumPartitions")
# @export
Github user hvanhovell commented on the issue:
https://github.com/apache/spark/pull/14568
@tedyu the scala code is shaping up nicely.
I do have a question regarding usage. How will this be used? The thing is
that the `monotonically_increasing_id` returns an id based on the
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/14634
Based on my understanding, after this PR, we will respect the conf values
of `hive.exec.dynamic.partition`, `hive.exec.dynamic.partition.mode` and
`hive.exec.compress.output` that are specified
Github user JoshRosen commented on the issue:
https://github.com/apache/spark/pull/14469
Jenkins, retest this please.
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Github user JoshRosen commented on the issue:
https://github.com/apache/spark/pull/14469
LGTM, so I'll merge this to master. Thanks @davies!
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/14579#discussion_r74813935
--- Diff: python/pyspark/rdd.py ---
@@ -188,6 +188,12 @@ def __init__(self, jrdd, ctx,
jrdd_deserializer=AutoBatchedSerializer(PickleSeri
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Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/14580#discussion_r74808006
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
---
@@ -1334,12 +1334,19 @@ object EliminateOuterJoin
Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/14579#discussion_r74811837
--- Diff: python/pyspark/rdd.py ---
@@ -188,6 +188,12 @@ def __init__(self, jrdd, ctx,
jrdd_deserializer=AutoBatchedSerializer(PickleSeri
Github user kiszk commented on the issue:
https://github.com/apache/spark/pull/13758
You are right. I missed `UnsafeArrayData` is a subclass of `ArrayData`. We
can pass `UnsafeArrayData` to an projection.
I have one question.
When we directly generate `UnsafeArrayData`
Github user junyangq commented on a diff in the pull request:
https://github.com/apache/spark/pull/14558#discussion_r74874081
--- Diff: R/pkg/R/SQLContext.R ---
@@ -181,7 +181,7 @@ getDefaultSqlSource <- function() {
#' @method createDataFrame default
#' @note
GitHub user Sherry302 opened a pull request:
https://github.com/apache/spark/pull/14659
[SPARK-16757] Set up Spark caller context to HDFS
## What changes were proposed in this pull request?
1. Pass `jobId` to Task.
2. Invoke Hadoop APIs.
A new function
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/13796#discussion_r74876946
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/MultinomialLogisticRegression.scala
---
@@ -0,0 +1,626 @@
+/*
+ * Licensed to the
GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/14660
[SPARK-17071][SQL] Fetch Parquet schema without another Spark job when it
is a single file to touch
## What changes were proposed in this pull request?
It seems Spark executes
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ---
@@ -533,6 +533,12 @@ object SQLConf {
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/13796#discussion_r74831972
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -945,13 +955,139 @@ class BinaryLogisticRegressionSummary
Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/13950#discussion_r74839612
--- Diff: core/src/main/scala/org/apache/spark/ui/JettyUtils.scala ---
@@ -332,6 +378,34 @@ private[spark] object JettyUtils extends Logging {
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/13796#discussion_r74840360
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -945,13 +955,139 @@ class BinaryLogisticRegressionSummary
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -945,13 +955,139 @@ class BinaryLogisticRegressionSummary
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/13796#discussion_r74832879
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -930,10 +942,8 @@ class BinaryLogisticRegressionSummary
Github user vanzin commented on the issue:
https://github.com/apache/spark/pull/14542
Ping, I'll push this tomorrow unless someone complains.
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Github user zsxwing commented on the issue:
https://github.com/apache/spark/pull/14651
The motivation here is, e.g., if the h2o library is in classpath, even if I
don't use it (such as, run
`Seq(1).toDS().write.format("parquet").save("foo")`), my code will still fail.
The improved
Github user zsxwing commented on the issue:
https://github.com/apache/spark/pull/14651
An alternative fix is just ignoring broken libraries. However, if the user
does want to use this library, the exception will be `Failed to find data
source: $provider. Please find packages at
Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/13950#discussion_r74836512
--- Diff:
core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala ---
@@ -244,7 +254,12 @@ private[ui] class MasterPage(parent: MasterWebUI)
Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/13950#discussion_r74840528
--- Diff:
core/src/test/scala/org/apache/spark/deploy/master/MasterSuite.scala ---
@@ -157,6 +157,34 @@ class MasterSuite extends SparkFunSuite
}
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/13796
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Github user shivaram commented on the issue:
https://github.com/apache/spark/pull/14182
This looks fine to me - @felixcheung feel free to merge this when you think
its good to go
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