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This passed tests, though jenkins did not seem to report back.
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Github user tdas commented on the pull request:
https://github.com/apache/spark/pull/8373#issuecomment-134329040
Alright. I am going to merge this to master and branch 1.5. Thanks @srowen,
@vanzin and @jerryshao for taking a look.
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Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8166#discussion_r37781102
--- Diff: python/pyspark/mllib/linalg/__init__.py ---
@@ -841,6 +930,41 @@ def parse(s):
def zeros(size):
return
Github user feynmanliang commented on a diff in the pull request:
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--- Diff: python/pyspark/mllib/linalg/__init__.py ---
@@ -841,6 +930,41 @@ def parse(s):
def zeros(size):
return
GitHub user zhuoliu opened a pull request:
https://github.com/apache/spark/pull/8398
Spark-4223 Support * in acls.
SPARK-4223.
Currently we support setting view and modify acls but you have to specify a
list of users. It would be nice to support * meaning all
Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/8382#discussion_r37783232
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/CommonOperatorGenerator.scala
---
@@ -0,0 +1,128 @@
+/*
+ * Licensed to the Apache
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Github user SlavikBaranov commented on the pull request:
https://github.com/apache/spark/pull/8395#issuecomment-134327407
@srowen I think, intermediate data is cached because it significantly
improves performance if the number of features is high (since `appendBias`
method performs
Github user tdas commented on the pull request:
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Jenkins, test this please.
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Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/8395#discussion_r37788602
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/regression/GeneralizedLinearAlgorithm.scala
---
@@ -287,7 +282,7 @@ abstract class
Github user marmbrus commented on the pull request:
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LGTM
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GitHub user davies opened a pull request:
https://github.com/apache/spark/pull/8400
[SPARK-10177] [SQL] fix reading Timestamp in parquet from Hive
We misunderstood the Julian days and nanoseconds of the day in parquet (as
TimestampType) from Hive/Impala, they are overlapped, so
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Github user marmbrus commented on the pull request:
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LGTM
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/8392#issuecomment-134337091
LGTM, merging this into master and 1.5 to unblock SPARK-10177.
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Github user feynmanliang commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -645,3 +666,179 @@ private class LeastSquaresCostFun(
Github user squito commented on a diff in the pull request:
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--- Diff:
core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala ---
@@ -990,6 +999,110 @@ class DAGSchedulerSuite
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--- Diff:
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@@ -65,6 +65,10 @@ private[shared] object
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GitHub user noel-smith opened a pull request:
https://github.com/apache/spark/pull/8399
[SPARK-10188] [Pyspark] Pyspark CrossValidator with RMSE selects incorrect
model
* Added isLargerBetter() method to Pyspark Evaluator to match the Scala
version.
* JavaEvaluator delegates
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/functions.scala
---
@@ -236,15 +234,13 @@ case class
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Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/8276#discussion_r37723615
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/api/r/SQLUtils.scala
---
@@ -98,27 +98,17 @@ private[r] object SQLUtils {
val bos = new
Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/8276#issuecomment-134066063
@shivaram , test cases for SerDe added. Now the SerDe does not support
transferring a list of different element types from R side to JVM side. Let's
leave it for
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GitHub user liancheng opened a pull request:
https://github.com/apache/spark/pull/8392
[SPARK-8580] [SQL] Refactors ParquetHiveCompatibilitySuite and adds more
test cases
This PR refactors `ParquetHiveCompatibilitySuite` so that it's easier to
add new test cases.
Hit two
GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/8394
[SPARK-9316] [SPARKR] Add support for filtering using `[` (synonym for
filter / select)
Add support for
```
df[df$name == Smith, c(1,2)]
df[df$age %in% c(19, 30), 1:2]
```
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/7976#discussion_r37726435
--- Diff: python/pyspark/ml/feature.py ---
@@ -817,6 +822,64 @@ class StringIndexerModel(JavaModel):
Model fitted by StringIndexer.
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GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/8391
[SPARK-10180] [SQL] JDBCRDD does not process EqualNullSafe filter.
https://issues.apache.org/jira/browse/SPARK-10180
You can merge this pull request into a Git repository by running:
$ git
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GitHub user sureshthalamati opened a pull request:
https://github.com/apache/spark/pull/8393
[SPARK-10170] [SQL] Writing from data frame into db2 database using jdbc
data source api fails with error for string, and boolean column types.
Data frame write to DB2 database is failing
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Github user adrian-wang commented on the pull request:
https://github.com/apache/spark/pull/8298#issuecomment-134054452
I doubt that whether your decision tree is better. But GreaterThan/LessThan
should be a little better than Least/Greatest, I think.
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GitHub user navis opened a pull request:
https://github.com/apache/spark/pull/8390
[SPARK-9685] [SQL] Unspported dataType: char(X) in Hive
I'm getting the following error when I try to read a Hive table with
char(X) fields:
{code}
15/08/06 11:38:51 INFO
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Github user adrian-wang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8383#discussion_r37722489
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala ---
@@ -142,6 +142,12 @@ private[sql] abstract class
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