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[SPARK-16137][SPARKR] randomForest for R
## What changes were proposed in this pull request?
Random Forest Regression and Classification for R
Clean-up/reordering generics.R
Github user cloud-fan commented on the issue:
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@zsxwing shall we backport
[this](https://github.com/apache/spark/pull/14803) first? Seems in 2.0 we don't
support partitioned file source.
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cc @gatorsmile @yhuai
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[SPARK-18070][SQL] binary operator should not consider nullability when
comparing input types
## What changes were proposed in this pull request?
Binary operator requires its inputs to
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Jenkins, test this please
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Github user jiangxb1987 commented on the issue:
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@rxin @hvanhovell Thanks for your advice, I'll address them ASAP!
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@jiangxb1987 can you add some test cases based on Herman's comment?
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Github user zhzhan commented on a diff in the pull request:
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--- Diff:
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Github user viirya commented on a diff in the pull request:
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--- Diff:
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protected int partitionIndex = -1;
Github user viirya commented on the issue:
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One concern I have is the cluster of machines with different codes. It is
possibly if you construct your cluster with solution like ec2 and buy different
kinds of nodes. In this case, the balance
Github user viirya commented on the issue:
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LGTM. I have a question for the legacy code, but not related to this change.
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cc @hvanhovell
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[WIP] [SPARK-18067] [SQL] SortMergeJoin adds shuffle if join predicates
have non partitioned columns
## What changes were proposed in this pull request?
See
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Github user mpjlu commented on the issue:
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Hi @yanboliang and @srowen , could you please review whether this PR
includes all your comments. Thanks.
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Github user zhzhan commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/TaskAssigner.scala
---
@@ -0,0 +1,229 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user HyukjinKwon commented on the issue:
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Could I please hear your thoughts @rxin, @srowen and @jodersky about
changing the format to
https://github.com/apache/spark/pull/15513#issuecomment-255594355 or
Github user viirya commented on a diff in the pull request:
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+/*
+ * Licensed to the Apache Software Foundation
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/15513
https://github.com/apache/spark/pull/15513#issuecomment-255632253 I
initially wanted to propose that idea but I didn't becuase I was worried of
ignoring existing name rules in each expression.
Github user Astralidea commented on the issue:
https://github.com/apache/spark/pull/15588
@lw-lin
spark.scheduler.minRegisteredResourcesRatio does not work.
The reason it may could be I use mesos and it run executor not through
driver.
but I still need to make sure it
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Github user gatorsmile commented on the issue:
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LGTM except a few minor comments. Could @rxin do the final check?
Thank you for your work! @zhzhan
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--- Diff: docs/configuration.md ---
@@ -1350,6 +1350,20 @@ Apart from these, the following properties are also
available, and may be useful
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+/*
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Github user HyukjinKwon commented on the issue:
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@gatorsmile Oh, they should be `literal` because in most cases users will
give the input as `literal` for those cases. I though I used a word `literal`
for those foldable expressions.
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Github user gatorsmile commented on the issue:
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I have another question. I found this PR also use `expressions` in the
description when the function only accepts foldable expressions. This is also
unclear to the users.
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--- Diff:
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@@ -43,11 +43,20 @@ import
Github user gatorsmile commented on the issue:
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To differentiate literals from expressions, the simplest way is to add
`expr` or `expression` into the function name. For the arguments whose names do
not contain `expr`, they are treated as
Github user sheepduke commented on the issue:
https://github.com/apache/spark/pull/15579
@srowen Hi, at first we wanted to add support for numactl only, but later
we thought that it is rather better to make it possible for adding the prefix
command. It is not only for NUMA, but also
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Github user HyukjinKwon commented on the issue:
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IMHO, I would like to leave it and prefer to differentiate literal from
expression as it throws an exception, for example, when a column is given as an
argument for literal, the exception
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/15604
Can one of the admins verify this patch?
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cc @kayousterhout @markhamstra
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GitHub user erenavsarogullari opened a pull request:
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Add Pool usage policies test coverage for FIFO & FAIR Schedulers
## What changes were proposed in this pull request?
The following FIFO & FAIR Schedulers Pool usage cases need to have
Github user HyukjinKwon commented on the issue:
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Thanks @gatorsmile. I will double-check if there is any instance more that
misses default value.
For the format, I asked @rxin initially to avoid change a lot repeatedly.
Could I
Github user ajbozarth commented on the issue:
https://github.com/apache/spark/pull/15441
@srowen Addressed the try-finally, this look good to go now?
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/ApproximatePercentile.scala
---
@@ -49,21 +49,29 @@ import
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/15513#discussion_r84604598
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/xml/xpath.scala
---
@@ -150,8 +206,16 @@ case class XPathString(xml:
Github user mridulm commented on the issue:
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@srowen This is explicitly supports maven.test.skip=true - the rationale
for using it can be project specific (generating clean builds for various
profile combinations, internal release builds from
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Github user CodingCat closed the pull request at:
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Github user hvanhovell commented on the issue:
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Merging to branch-2.0. Thanks! Can you close this PR?
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