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Github user MLnick commented on the pull request:
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LGTM, merged to master and branch-2.0. Thanks!
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Merged to master and branch-2.0
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LGTM
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Github user gatorsmile commented on the pull request:
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uh,,, my understanding is wrong. We still allow data source tables. Then, I
need to reduce the scope.
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Github user HyukjinKwon commented on the pull request:
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@WeichenXu123 I tried that with `ignoreLeadingWhiteSpace` and
`ignoreTrailingWhiteSpace` and it seems working fine. I am careful of saying
this because I am not a c
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--- Diff:
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@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Fou
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Github user wangmiao1981 commented on the pull request:
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cc @zhengruifeng @yanboliang
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LGTM
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Merging this into master and 2.0, thanks!
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--- Diff: repl/scala-2.11/src/main/scala/org/apache/spark/repl/Main.scala
---
@@ -88,7 +88,8 @@ object Main extends Logging {
}
val b
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+/*
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Merging to master and branch 2.0.
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LGTM
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@@ -0,0 +1,67 @@
+/*
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@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Foundation
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@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Foundation
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+/*
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@@ -222,6 +222,33 @@ trait Unevaluable extends Expression
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--- Diff: repl/scala-2.11/src/main/scala/org/apache/spark/repl/Main.scala
---
@@ -88,7 +88,8 @@ object Main extends Logging {
}
val buil
Github user rxin commented on the pull request:
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It's better to do this once we have a 2.0 maven artifact published I think.
Otherwise Mima is going to have duplicates and as we do api tweaks during qa
period we will hav
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GitHub user gatorsmile opened a pull request:
https://github.com/apache/spark/pull/13093
[SPARK-15311] [SQL] Disallow DML on Non-temporary Tables when Using
In-Memory Catalog
What changes were proposed in this pull request?
So far, when using In-Memory Catalog, we allow DDL
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LGTM
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cc @davies can you review this?
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@srowen Please review.
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[SPARK-15309] Bump master to version 2.1.0-SNAPSHOT
## What changes were proposed in this pull request?
Update pom artifact version to 2.1.0-SNAPSHOT to avoid any conflicts with
2.0.0-SNA
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/13086#issuecomment-218950905
Maybe we should add () to the builder function instead? In that case this
code will work in Java too.
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cc @yhuai for review; talked with @marmbrus offline already.
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[SPARK-15310][SQL] Rename HiveTypeCoercion -> TypeCoercion
## What changes were proposed in this pull request?
We originally designed the type coercion rules to match Hive, but over time
we have d
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Github user dongjoon-hyun commented on the pull request:
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Rebase to resolve conflicts.
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--- Diff:
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@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Foundation
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cc @hvanhovell wanna review this?
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Merging in master/2.0.
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GitHub user ueshin opened a pull request:
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[SPARK-15308][SQL] RowEncoder should preserve nested column name.
## What changes were proposed in this pull request?
The following code generates wrong schema:
```
val schema =
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Github user dbtsai commented on the pull request:
https://github.com/apache/spark/pull/12627#issuecomment-218949085
@viirya Can you try to merge my code with yours, and see if the python
tests pass? Thanks.
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Github user dongjoon-hyun commented on the pull request:
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Hi, @liancheng and @cloud-fan .
This PR is similar with your commit, `[SPARK-13473][SQL] Don't push
predicate through project with nondeterministic field(s)`.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/12268#issuecomment-218948489
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Github user dongjoon-hyun commented on the pull request:
https://github.com/apache/spark/pull/13087#issuecomment-218948335
The reported error scenario is the following.
```scala
scala> val df = sc.parallelize(Seq(("a", "b"), ("a1",
"b1"))).toDF("old","old1")
scala> val udfF
Github user zzcclp commented on the pull request:
https://github.com/apache/spark/pull/12060#issuecomment-218947787
@markhamstra , thanks for your explaintion.
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Github user HyukjinKwon commented on the pull request:
https://github.com/apache/spark/pull/11724#issuecomment-218946776
@rxin Do you mind if I ask a quick look again?
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Github user HyukjinKwon commented on the pull request:
https://github.com/apache/spark/pull/12855#issuecomment-218946730
ping @marmbrus
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Github user HyukjinKwon commented on the pull request:
https://github.com/apache/spark/pull/12972#issuecomment-218946661
Please excuse my ping, @liancheng
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Github user markhamstra commented on the pull request:
https://github.com/apache/spark/pull/12060#issuecomment-218945792
@zzcclp Not likely. This PR shouldn't produce any different results, but
rather produces the same results faster. We're typically very conservative
with patch-lev
Github user HyukjinKwon commented on the pull request:
https://github.com/apache/spark/pull/12921#issuecomment-218945091
Please excuse my ping @rxin @falaki
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/13048#issuecomment-218943216
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Github user AmplabJenkins commented on the pull request:
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Merged build finished. Test PASSed.
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Github user SparkQA commented on the pull request:
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Github user SparkQA commented on the pull request:
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