Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/14567#discussion_r76961377
--- Diff: dev/py-validate.sh ---
@@ -0,0 +1,110 @@
+#!/usr/bin/env bash
--- End diff --
@davies what do you think about including this vs
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/14567#discussion_r76961264
--- Diff: dev/isort.cfg ---
@@ -1,9 +1,9 @@
# Licensed to the Apache Software Foundation (ASF) under one or more
-# contributor license agreements.
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Github user srowen commented on the issue:
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This is bisecting k-means? and the .mllib version? I think that's all this
change could affect. All of the .ml classes have their own higher-level seed
handling mechanism that would randomly pick a
Github user srowen commented on a diff in the pull request:
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--- Diff:
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@@ -126,13 +126,14 @@ private[python] class PythonMLLibAPI extends
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Github user jiangxb1987 commented on the issue:
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@yhuai Could you review this PR please? Thank you!
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala ---
@@ -114,11 +114,9 @@ final class QuantileDiscretizer @Since("1.6.0")
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Github user steveloughran commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/deploy/history/FsHistoryProvider.scala ---
@@ -664,6 +707,116 @@ private[history] class
Github user steveloughran commented on the issue:
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This context is just something passed over IPC to provide a general string
for the audit logs, the main actual access of it is in the HDFS audit log
```
HdfsAuditLogger
Github user steveloughran commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -2418,6 +2418,18 @@ private[spark] object Utils extends Logging {
Github user steveloughran commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -2418,6 +2418,18 @@ private[spark] object Utils extends Logging {
Github user HyukjinKwon commented on the issue:
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It seems okay with minimal version. It seems 3.1+ (if my understanding is
correct, https://github.com/hadley/testthat/blob/v1.0.0/DESCRIPTION#L13). I
will try to look into this deeper.
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Github user cloud-fan commented on the issue:
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thanks for the review, merging to master!
I'll send a new PR for 2.0
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Github user zjffdu commented on a diff in the pull request:
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--- Diff: R/pkg/R/sparkR.R ---
@@ -365,6 +365,10 @@ sparkR.session <- function(
}
overrideEnvs(sparkConfigMap, paramMap)
}
+ if
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[SPARK-17329] [BUILD] Don't build PRs with -Pyarn unless YARN code changed
## What changes were proposed in this pull request?
Only build PRs with -Pyarn if YARN code was modified.
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Github user felixcheung commented on the issue:
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shane knapp manages Jenkins, he should know.
Does the newer testthat have any minimal R version requirement? We are
running R 3.1.1 (the minimal required R version) in Jenkins.
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CC @vanzin
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--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/StatisticsSuite.scala ---
@@ -168,6 +169,81 @@ class StatisticsSuite extends QueryTest with
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--- Diff: R/WINDOWS.md ---
@@ -4,13 +4,23 @@ To build SparkR on Windows, the following steps are
required
1. Install R (>= 3.1) and
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--- Diff:
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@@ -140,7 +145,12 @@ private[hive] case class MetastoreRelation(
Github user srowen commented on the issue:
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No, I'd leave it open for some time for comments in any event, especially
if someone has expressed doubts about it. I'd like to wait some time for more
comments before considering merging it.
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Github user viirya commented on a diff in the pull request:
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--- Diff:
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@@ -50,35 +50,98 @@ private[spark] class DiskBlockManager(conf: SparkConf,
Github user HyukjinKwon commented on the issue:
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@felixcheung It seems due to the differences of `testthat` version..? It
seems this printing is added from `testthat` 1.0.0 (with this
Github user eyalfa commented on the issue:
https://github.com/apache/spark/pull/1
@hvanhovell,can you please have a look at this?
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Github user felixcheung commented on the issue:
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thanks for fixing this. I thought skipped tests are easy to miss so it
would be great (maybe as a separate PR) if there is a way we could detect
what's being skipped from within Jenkins.
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Github user cloud-fan commented on the issue:
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I'll back on it after we unify the `path` option and the `locationUri` for
data source and hive serde tables.
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Github user srowen commented on the issue:
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I think this kind of thing is fine to call out, but we haven't used this
convention, quite, elsewhere. The APIs are all "Scala-specific" unless
otherwise noted. Even then they're callable from Java,
Github user yucai commented on a diff in the pull request:
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--- Diff:
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@@ -50,35 +50,98 @@ private[spark] class DiskBlockManager(conf: SparkConf,
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/r/RWrapperUtils.scala ---
@@ -0,0 +1,47 @@
+/*
+ * Licensed to the Apache Software Foundation
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@@ -0,0 +1,47 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user HyukjinKwon commented on the issue:
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It seems SparkR always runs the tests all? I will check this out.
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Github user HyukjinKwon commented on the issue:
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@felixcheung I remember in case of PySpark/Scala, only fixed and related
modules are tested by tracking the changed/related modules via changed files in
the PR with Jenkins (within
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/WINDOWS.md ---
@@ -4,13 +4,23 @@ To build SparkR on Windows, the following steps are
required
1. Install R (>= 3.1) and
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Github user felixcheung commented on the issue:
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should we have a test against DataFrame with binary column?
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Github user felixcheung commented on the issue:
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LGTM - I guess it would be good to sanity check the test value with Scala.
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Github user felixcheung commented on the issue:
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btw, do you know why the "skipped" message is not in the Jenkins log?
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GitHub user jaceklaskowski opened a pull request:
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[SQL][DOC][MINOR] Add (Scala-specific) and (Java-specific)
## What changes were proposed in this pull request?
Adds (Scala-specific) and (Java-specific) to Scaladoc.
## How
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/14883
It sounds good to me! Will make a change tomorrow. Thanks!
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Github user asfgit closed the pull request at:
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--- Diff:
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@@ -50,35 +50,98 @@ private[spark] class DiskBlockManager(conf: SparkConf,
Github user felixcheung commented on the issue:
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LGTM, thanks!
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Github user cloud-fan commented on the issue:
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ok maybe we should update the document and say that `ADD JAR` is
cross-session, also move the `addJar` method to `SharedState`?
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Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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@@ -58,18 +63,32 @@ case class CreateTableLikeCommand(
Github user srowen commented on the issue:
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I'm not sure I know enough about the APIs and need for this to say I would
review and merge this.
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LGTM thanks!
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https://github.com/apache/spark/pull/9
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14890
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Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/14890#discussion_r76934575
--- Diff: R/WINDOWS.md ---
@@ -4,13 +4,21 @@ To build SparkR on Windows, the following steps are
required
1. Install R (>= 3.1) and
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/14890
Could you please check if this is sensible @shivaram ?
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GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/14890
[MINOR][SPARKR] Verbose the build comment in WINDOWS.md rather than
promoting default build without Hive
## What changes were proposed in this pull request?
This PR fixes `WINDOWS.md`
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