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--- Diff: R/pkg/inst/tests/testthat/jarTest.R ---
@@ -16,7 +16,7 @@
#
library(SparkR)
-sc <- sparkR.session()
+sc <-
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--- Diff: R/pkg/DESCRIPTION ---
@@ -13,6 +13,7 @@ Authors@R: c(person("Shivaram", "Venkataraman", role =
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License: Apache License
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--- Diff: R/pkg/inst/tests/testthat/jarTest.R ---
@@ -16,7 +16,7 @@
#
library(SparkR)
-sc <- sparkR.session()
+sc <-
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--- Diff: R/pkg/inst/tests/testthat/test_Serde.R ---
@@ -17,7 +17,7 @@
context("SerDe functionality")
-sparkSession <-
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--- Diff: R/pkg/DESCRIPTION ---
@@ -13,6 +13,7 @@ Authors@R: c(person("Shivaram", "Venkataraman", role =
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License: Apache License (==
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@barrybecker4 `withColumns` API is first introduced in this PR. So you
won't see it in Spark 2.1.1 or current codebase. Thanks for letting me know
SPARK-12225. Yes, it is related.
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[SPARK-20704][SPARKR] change CRAN test to run single thread
## What changes were proposed in this pull request?
also target unix only
- [ ] need to test devtools
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Github user maropu commented on the issue:
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Sure, I'd love to do tough, I probably missed your point. What's the
scenario of the conflict you described? [The current logic in
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FYI we added `numPartitions` in R - but that's primarily because we don't
have `sc.parallelize`
https://github.com/apache/spark/blob/master/R/pkg/R/SQLContext.R#L190
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LinearSVC.scala ---
@@ -51,6 +51,7 @@ private[classification] trait LinearSVCParams
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Github user felixcheung commented on the issue:
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ok I saw #17867
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/tree/treeParams.scala ---
@@ -109,24 +109,80 @@ private[ml] trait DecisionTreeParams extends
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@brkyvz @zsxwing
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Github user yanboliang commented on the issue:
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I'm OK to revert this change and change the deprecation comments to say the
items will be removed in ```3.0.0``` instead of ```2.x```. Will do them in two
follow-up PRs. Thanks.
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GitHub user yanboliang opened a pull request:
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Revert "[SPARK-20606][ML] ML 2.2 QA: Remove deprecated methods for ML"
This reverts commit b8733e0ad9f5a700f385e210450fd2c10137293e.
Revert SPARK-20606.
## How was this patch
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Github user zhengruifeng commented on a diff in the pull request:
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--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/LogisticRegressionSuite.scala
---
@@ -2318,8 +2319,8 @@ class
Github user 10110346 commented on the issue:
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I have updated it , and test passed
please review it again,thanks @srowen @rxin @HyukjinKwon
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -96,14 +96,17 @@ def schema(self, schema):
By specifying the schema here, the underlying data
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--- Diff:
sql/core/src/test/resources/sql-tests/inputs/table-valued-functions.sql ---
@@ -24,3 +24,7 @@ select * from RaNgE(2);
-- Explain
Github user felixcheung commented on the issue:
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actually, it was intentional that we didn't add it in R since there's
always one session only.
Could you elaborate how global view helps with cross language?
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Github user zuotingbing commented on a diff in the pull request:
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--- Diff:
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---
@@ -494,4 +494,34 @@ class InsertIntoHiveTableSuite
Github user uncleGen commented on the issue:
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@zsxwing Great! Close this pr then.
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Github user dongjoon-hyun commented on the issue:
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Hi, All.
For further discussion and easy comparision, I made another PR (#17943)
except `ColumnarBatch`.
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[SPARK-20682][SQL] Implement new ORC data source based on Apache ORC
## What changes were proposed in this pull request?
Since
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Github user tejasapatil commented on a diff in the pull request:
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--- Diff: docs/sql-programming-guide.md ---
@@ -581,6 +581,46 @@ Starting from Spark 2.1, persistent datasource tables
have per-partition metadat
Github user mpjlu commented on the issue:
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F2Jblas is faster than MKL blas. The following test is based on F2jBLAS.
Method 1: BLAS 3 + quickselect on each row and select top k.
Method 2: this PR
BLOCK size: 256 512 1024 2048
Github user fjh100456 commented on the issue:
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The description of @pwendell 's jira looks as if it only because the
number of tasks completed will exceed the total number of tasks. But I think
this excess can remind the user that the
Github user ConeyLiu commented on the issue:
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thanks a lot.
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Github user map222 commented on the issue:
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Most recent commit reverts the "if" to "iff", changes all the backticks for
column names to single backtick, and tried new `:param:` option for angle
columns.
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--- Diff: python/pyspark/sql/functions.py ---
@@ -153,7 +173,7 @@ def _():
# math functions that take two arguments as input
_binary_mathfunctions
Github user tejasapatil commented on a diff in the pull request:
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--- Diff: docs/sql-programming-guide.md ---
@@ -581,6 +581,46 @@ Starting from Spark 2.1, persistent datasource tables
have per-partition metadat
Github user tejasapatil commented on a diff in the pull request:
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--- Diff: docs/sql-programming-guide.md ---
@@ -1766,12 +1806,6 @@ Spark SQL supports the vast majority of Hive
features, such as:
Below is a list
Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/17925#discussion_r115887910
--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
---
@@ -1054,15 +1053,17 @@ class DAGScheduler(
return
}
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