Github user asfgit closed the pull request at:
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Github user mengxr commented on the pull request:
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LGTM. Merged into master. Thanks!
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Github user jerryshao commented on the pull request:
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Any further updates on it? CC @sryza about this.
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Github user SparkQA commented on the pull request:
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Had an offline discussion with @dbtsai and @coderxiang . We agreed to keep
the current behavior and have it well documented. I will mark this JIRA as
"won't" and created
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--- Diff:
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def
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Github user jerryshao commented on the pull request:
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@andrewor14 , would you please review this patch again, it is pending here
a long time and I think it is actually a bug here. Thanks a lot.
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Github user mengxr commented on the pull request:
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@oliverpierson I haven't seen this test fails in the master build. If I'm
correct, we control the random seed in the master branch resulting
deterministic behavior. But
Github user jerryshao commented on the pull request:
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For example, if your sliding duration is 1, window duration is 4, and batch
duration is 1, and the down time is 3. If you skip this this 3 batches, IIUC
the result wi
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Github user asfgit closed the pull request at:
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Github user jeanlyn commented on the pull request:
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Thanks @jerryshao for suggestion!
> Jobs generated in the down time can be used for WAL replay, did you test
when these down jobs are removed, the behavior of WAL re
Github user mengxr commented on the pull request:
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Merged into master. Thanks!
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ok to test
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@srowen It would be nice to have example code in the user guide for every
algorithm. And this PR helps.
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ok to test
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ok to test
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add to whitelist
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/BufferedRowIterator.java
---
@@ -35,6 +35,8 @@
// used when there is no column in out
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Github user dongjoon-hyun commented on the pull request:
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Rebased to trigger the Jenkins test.
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Github user jerryshao closed the pull request at:
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
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@@ -445,4 +445,9 @@ class JDBCSuite extends SparkFunSuite with
BeforeAnd
Github user davies commented on a diff in the pull request:
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--- Diff:
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// used when there is no column in out
Github user davies commented on a diff in the pull request:
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--- Diff:
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// used when there is no column in out
Github user xguo27 commented on the pull request:
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Using these two functionally equavalent code snippets:
Scala
```
val data = Seq((1, "1"), (2, "2"), (3, "2"), (1, "3")).toDF("a","b")
val my_filter =
Github user mengxr commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala
---
@@ -0,0 +1,577 @@
+/*
+ * Licensed to the Apache
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/10940#issuecomment-190553302
@coderxiang @dbtsai Sorry for late response! I actually thought this PR
already got merged ... Anyway, I tested `glmnet` and found that `glmnet`
outputs zero coefficient
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala ---
@@ -1427,30 +1427,6 @@ class DataFrame private[sql](
def transform[U](t: D
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@steveloughran , here "1" is the number of attempts
[here](https://github.com/apache/spark/blob/master/core/src/main/resources/org/apache/spark/ui/static/historypage.j
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/Sort.scala
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sortedIterator
}
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It seems that Jenkins fails due to irrelevant things like the following.
```
Error instrumenting
class:org.apache.spark.mllib.regression.IsotonicRegressio
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+/*
+ * Licensed to th
Github user jerryshao commented on the pull request:
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Also for some windowing operations, I think this removal of down time jobs
may possibly lead to the inconsistent result of windowing aggregation.
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Jobs generated in the down time can be used for WAL replay, did you test
when these down jobs are removed, the behavior of WAL replay is still correct?
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Jenkins, test this please.
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Github user AmplabJenkins commented on the pull request:
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Github user sun-rui commented on the pull request:
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@olarayej, I am not sure if it is conceptually correct to associate a
Column to only one DF. Conceptually, a Column could be depend on 0, 1, 2 or
more DataFrames. For e
Github user SparkQA commented on the pull request:
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Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/11136#discussion_r54519291
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/GeneralizedLinearRegressionSuite.scala
---
@@ -0,0 +1,499 @@
+/*
+ * Licensed to th
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Github user yanboliang commented on the pull request:
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Jenkins, test this please.
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Github user yanboliang commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,499 @@
+/*
+ * Licensed to th
Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/11436#discussion_r54518895
--- Diff: core/src/main/scala/org/apache/spark/storage/BlockManager.scala
---
@@ -852,18 +878,20 @@ private[spark] class BlockManager(
Awa
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Can one of the admins verify this patch?
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