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--- Diff: python/pyspark/ml/wrapper.py ---
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retest this please
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--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/RandomDataGeneratorSuite.scala
---
@@ -93,4 +93,12 @@ class RandomDataGeneratorSuite extends Sp
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Can one of the admins verify this patch?
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--- Diff: python/pyspark/ml/util.py ---
@@ -52,3 +71,141 @@ def _randomUID(cls):
concatenates the class name, "_", and 12 random hex chars.
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GitHub user dilipbiswal opened a pull request:
https://github.com/apache/spark/pull/10943
[SPARK-12988] Can't drop columns that contain dots
Neither of theses works:
val df = Seq((1, 1)).toDF("a_b", "a.c")
df.drop("a.c").collect()
df: org.apache.spark.sql.DataFrame =
Github user thomastechs commented on the pull request:
https://github.com/apache/spark/pull/10912#issuecomment-175453302
@yhuai Yes;tested. So, as you mentioned, will create a new PR against
master with the OracleIntegrationSuite.
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/BufferedRowIterator.java
---
@@ -34,7 +36,7 @@
// used when there is no column in out
Github user yhuai commented on a diff in the pull request:
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--- Diff:
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@@ -93,4 +93,12 @@ class RandomDataGeneratorSuite extends SparkF
Github user yhuai commented on the pull request:
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Also, I'd like to get the change in master first. Thanks.
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Github user yhuai commented on the pull request:
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btw, just want to double check. Have you tested your fix with Oracle?
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Github user yhuai commented on the pull request:
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Please create a PR against master. You do not need to create a new jira. In
the title of the new PR, you just use the same JIRA number. For this PR, it is
better to add `
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
---
@@ -445,4 +445,9 @@ class JDBCSuite extends SparkFunSuite with
BeforeAndAfter
Github user thomastechs commented on the pull request:
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@yhuai Added the testcase for 1.4. For the master PR, would it be good
to raise another bug in reference to this and upload the fix as a new PR for
that bug.?
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@@ -97,10 +99,15 @@ private[sql] object DataSou
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GitHub user gatorsmile opened a pull request:
https://github.com/apache/spark/pull/10942
[SPARK-12850] [SQL] Support Bucket Pruning (Predicate Pushdown for Bucketed
Tables)
JIRA: https://issues.apache.org/jira/browse/SPARK-12850
This PR is to support bucket pruning when the
Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/10912#issuecomment-175416015
Can you add a test? Also, can you create a pr for master?
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@yhuai The style check error has been fixed and committed.
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retest this please
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Github user jkbradley commented on the pull request:
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Ping @yinxusen I realized we should at least backport this to 1.6. I made
this PR to make sure tests run. After this is merged, we can backport
[https://github.com/
GitHub user jkbradley opened a pull request:
https://github.com/apache/spark/pull/10941
[ML][PYTHON][SPARK-12834] Change ser/de of JavaArray and JavaList
Backport of SPARK-12834 for branch-1.6
Original PR: https://github.com/apache/spark/pull/10772
Original commit m
Github user asfgit closed the pull request at:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala ---
@@ -309,4 +312,77 @@ final class DataFrameStatFunctions private[sql](df
Github user asfgit closed the pull request at:
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LGTM
I'll merge this with master
Thanks!
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@nishkamravi2 thanks, merging to master
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--- Diff:
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@@ -130,4 +130,49 @@ class MiscFunctionsSuite
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Github user viirya commented on the pull request:
https://github.com/apache/spark/pull/10750#issuecomment-175400704
I think most expressions (such as >, >=, <, <=, ==, string ops, arithmetic
ops) which are commonly used in filters are relatively stable now. Maybe we can
let JDBC datas
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Github user tedyu commented on the pull request:
https://github.com/apache/spark/pull/10931#issuecomment-175400213
I read the thread referenced by SPARK-11615 again.
But there was no clear statement on why shading annotation wouldn't work.
Test suite passed.
I thin
Github user yhuai commented on the pull request:
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test this please
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Jenkins, retest please
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Github user asfgit closed the pull request at:
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Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/10733#issuecomment-175383478
LGTM. Merging to master.
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Github user SparkQA commented on the pull request:
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Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/10911
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/10911#issuecomment-175381894
I'm going to merge this. Thanks.
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GitHub user coderxiang opened a pull request:
https://github.com/apache/spark/pull/10940
[SPARK-13029][ml] fix a logistic regression issue when inputing data has a
column with identical value
This is a bug that appears while fitting a Logistic Regression model with
`.setStandardiza
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