Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/17938
@zero323 We already support it for data source tables. Below is just an
example.
```SQL
CREATE TABLE tbl(a INT, b INT) USING parquet CLUSTERED BY (a) SORTED BY (b)
INTO 5 BUCKETS")
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/17222#discussion_r116351461
--- Diff: python/pyspark/sql/context.py ---
@@ -232,6 +232,23 @@ def registerJavaFunction(self, name, javaClassName,
returnType=None):
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17971
@peterpi0915 it looks mistakenly open. Could you close this please?
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Github user arman1371 commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -2603,6 +2603,21 @@ class Dataset[T] private[sql](
def
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Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/17966
So I'd propose this
```
is_cran <- function() { !identical(Sys.getenv("NOT_CRAN"), "true") }
is_windows <- function() { .Platform$OS.type == "windows" }
hadoop_home_set <-
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/17965#discussion_r116350427
--- Diff: R/pkg/R/context.R ---
@@ -258,15 +258,15 @@ includePackage <- function(sc, pkg) {
#'
#' # Large Matrix object that we want to
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/17965#discussion_r116350400
--- Diff: R/pkg/R/generics.R ---
@@ -799,6 +799,10 @@ setGeneric("write.df", function(df, path = NULL, ...)
{ standardGeneric("write.d
#' @export
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/17965#discussion_r116350359
--- Diff: R/pkg/R/DataFrame.R ---
@@ -3769,3 +3769,33 @@ setMethod("alias",
sdf <- callJMethod(object@sdf, "alias", data)
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/17965#discussion_r116350178
--- Diff: R/pkg/R/DataFrame.R ---
@@ -3769,3 +3769,33 @@ setMethod("alias",
sdf <- callJMethod(object@sdf, "alias", data)
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/17965#discussion_r116350368
--- Diff: R/pkg/R/context.R ---
@@ -258,15 +258,15 @@ includePackage <- function(sc, pkg) {
#'
#' # Large Matrix object that we want to
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/17965#discussion_r116350189
--- Diff: R/pkg/R/DataFrame.R ---
@@ -3769,3 +3769,33 @@ setMethod("alias",
sdf <- callJMethod(object@sdf, "alias", data)
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/17965#discussion_r116350376
--- Diff: R/pkg/R/generics.R ---
@@ -799,6 +799,10 @@ setGeneric("write.df", function(df, path = NULL, ...)
{ standardGeneric("write.d
#' @export
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/17969#discussion_r116350163
--- Diff: R/pkg/R/mllib_wrapper.R ---
@@ -0,0 +1,61 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+#
Github user AmplabJenkins commented on the issue:
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Can one of the admins verify this patch?
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GitHub user peterpi0915 opened a pull request:
https://github.com/apache/spark/pull/17971
Branch 0.5
## 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 maropu commented on the issue:
https://github.com/apache/spark/pull/17758
@gatorsmile Could you check this and give me advise on this? Thanks!
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GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/17970
[SPARK-20730][SQL] Add an optimizer rule to combine nested Concat
## What changes were proposed in this pull request?
This pr added a new Optimizer rule to combine nested Concat. The master
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Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/17966
Probably - but how to check for Hadoop? See if HADOOP_HOME is set?
We don't need to set that on *nix though, I think
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17966
Just FYI, closing and opening a PR is a workaround to re-trigger the build
in AppVeyor as (I assume) we all don't currently have the permission via
AppVeyor Web UI.
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Github user zero323 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17969#discussion_r116346161
--- Diff: R/pkg/R/generics.R ---
@@ -1535,9 +1535,7 @@ setGeneric("spark.freqItemsets", function(object) {
standardGeneric("spark.freqI
#' @export
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17966
Thank you for cc'ing me. I think primarily it is because single AppVeyor
account is shared across several Apache projects but the number of concurrent
jobs is single up to my knowledge. So, it
Github user zero323 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17969#discussion_r116346059
--- Diff: R/pkg/R/mllib_wrapper.R ---
@@ -0,0 +1,61 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor
Github user zero323 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17969#discussion_r116345958
--- Diff: R/pkg/DESCRIPTION ---
@@ -42,6 +42,7 @@ Collate:
'functions.R'
'install.R'
'jvm.R'
+'mllib_wrapper.R'
---
Github user tejasapatil commented on a diff in the pull request:
https://github.com/apache/spark/pull/16985#discussion_r116345617
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/joins/ReorderJoinPredicates.scala
---
@@ -0,0 +1,93 @@
+/*
+ * Licensed to
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17969#discussion_r116345383
--- Diff: R/pkg/DESCRIPTION ---
@@ -42,6 +42,7 @@ Collate:
'functions.R'
'install.R'
'jvm.R'
+'mllib_wrapper.R'
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17969#discussion_r116345166
--- Diff: R/pkg/R/mllib_regression.R ---
@@ -360,6 +338,7 @@ setMethod("spark.isoreg", signature(data =
"SparkDataFrame", formula = "formula"
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17969#discussion_r116345323
--- Diff: R/pkg/R/mllib_wrapper.R ---
@@ -0,0 +1,61 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+#
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17969#discussion_r116345209
--- Diff: R/pkg/R/mllib_wrapper.R ---
@@ -0,0 +1,61 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+#
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17969#discussion_r116345283
--- Diff: R/pkg/R/mllib_wrapper.R ---
@@ -0,0 +1,61 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+#
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17969#discussion_r116344992
--- Diff: R/pkg/R/mllib_classification.R ---
@@ -22,29 +22,36 @@
#'
#' @param jobj a Java object reference to the backing Scala
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17969#discussion_r116344933
--- Diff: R/pkg/R/generics.R ---
@@ -1535,9 +1535,7 @@ setGeneric("spark.freqItemsets", function(object) {
standardGeneric("spark.freqI
#'
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17956
1. It is not good to hold off PRs. If a PR looks good and coherent, I think
we could merge.
2. "How many JSON writers write a float "INF" as a string?", if it is your
worry, I will
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Github user vanzin commented on the issue:
https://github.com/apache/spark/pull/16743
This PR has been silent for months, so unless the owner of the PR replies
it should be closed. If you want to pick up the work, you'll have to open a new
PR anyway.
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Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/17955#discussion_r116344085
--- Diff: core/src/main/scala/org/apache/spark/MapOutputTracker.scala ---
@@ -495,106 +532,153 @@ private[spark] class MapOutputTrackerMaster(conf:
GitHub user zero323 reopened a pull request:
https://github.com/apache/spark/pull/17965
[SPARK-20726][SPARKR] wrapper for SQL broadcast
## What changes were proposed in this pull request?
- Adds R wrapper for `o.a.s.sql.functions.broadcast`.
- Renames `broadcast` to
Github user zero323 closed the pull request at:
https://github.com/apache/spark/pull/17965
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Github user adamstatdna commented on the issue:
https://github.com/apache/spark/pull/16743
Yes, I believe it is still active. The solution stated by Marcelo of
detecting the exit code in local mode would be a solution for my purposes
of testing where you want to do end-to-end
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GitHub user zero323 opened a pull request:
https://github.com/apache/spark/pull/17969
[SPARK-20729][SPARKR][ML] Reduce boilerplate in Spark ML models
## What changes were proposed in this pull request?
- Add `JavaModel` and `JavaMLWritable` S4 classes and mix them with
Github user tejasapatil commented on a diff in the pull request:
https://github.com/apache/spark/pull/17644#discussion_r116342178
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala ---
@@ -171,8 +172,7 @@ private[hive] class
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@yanboliang @MLnick @HyukjinKwon @jkbradley @sethah
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Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/17222#discussion_r116340261
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/AggregationQuerySuite.scala
---
@@ -20,16 +20,19 @@ package
Github user marmbrus commented on the issue:
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LGTM
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Github user asfgit closed the pull request at:
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Github user hvanhovell commented on the issue:
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LGTM - merging to master. Thanks!
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Github user shivaram commented on the issue:
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@HyukjinKwon Do we know why things sometime queue for a long time on
AppVeyor ? Like this PR has been queued for around 5 hours right now.
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Github user JoshRosen commented on the issue:
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The `MapOutputTrackerSuite` `remote fetch` test case failed as of that last
commit because I didn't faithfully replicate the behavior of `clearEpoch()` /
`incrementEpoch()`.
In the old
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/UDFRegistration.scala ---
@@ -491,20 +491,42 @@ class UDFRegistration private[sql] (functionRegistry:
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Github user gglanzani commented on a diff in the pull request:
https://github.com/apache/spark/pull/15074#discussion_r116317288
--- Diff: python/pyspark/mllib/linalg/__init__.py ---
@@ -1296,9 +1296,19 @@ def asML(self):
return newlinalg.SparseMatrix(self.numRows,
Github user gglanzani closed the pull request at:
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Github user gglanzani commented on the issue:
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@HyukjinKwon So I think I will close this one. The issue is that there is
never a shorter path.
Take for example this code
```python
C = SparseMatrix(2, 2, [0, 0, 2], [1],
Github user AmplabJenkins commented on the issue:
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Can one of the admins verify this patch?
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GitHub user gglanzani opened a pull request:
https://github.com/apache/spark/pull/17968
[SPARK-9792] Make DenseMatrix equality semantical
Before, you could have this code
```
A = SparseMatrix(2, 2, [0, 2, 3], [0], [2])
B = DenseMatrix(2, 2, [2, 0, 0, 0])
B
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17960
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Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/17964#discussion_r116306324
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala
---
@@ -429,17 +429,13 @@ object QueryPlan {
* with
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/17967
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17967
**[Test build #76878 has
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Github user gglanzani commented on a diff in the pull request:
https://github.com/apache/spark/pull/15074#discussion_r116302904
--- Diff: python/pyspark/mllib/linalg/__init__.py ---
@@ -1296,9 +1296,19 @@ def asML(self):
return newlinalg.SparseMatrix(self.numRows,
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