Github user WangTaoTheTonic commented on the issue:
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Nah i think we have a misunderstand here. @tgravescs
If understand right, what you mean is that most companies run their server
in UTC timezone. That's OK. Under that condition, His
Github user dongjoon-hyun commented on the issue:
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Retest this please.
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Github user HyukjinKwon commented on the issue:
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@skanjila It seems something gone wrong. Could you please rebase this?
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ok to test.
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Github user gatorsmile commented on the issue:
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Sure, will finish this tomorrow.
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Github user zsxwing commented on a diff in the pull request:
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--- Diff:
common/network-common/src/main/java/org/apache/spark/network/util/ByteArrayReadableChannel.java
---
@@ -0,0 +1,73 @@
+/*
+ * Licensed to t
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--- Diff:
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+/*
+ * Licensed to the Apache
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+/*
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@@ -80,46 +84,74 @@ public void receive(TransportClient
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Github user merlintang commented on the issue:
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Actually, I do not have the unit test, but the code list below (same as we
posted in the JIRA) can reproduce this bug.
The related code would be this way:
val sqlContext = new org.
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Github user cloud-fan commented on the issue:
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Sorry for the delay. After thinking it again, I think it doesn't make sense
to allow users to specify the nullability when reading a data source. How about
we turn schema to nullable in `DataFrame
Github user hayashidac commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/tree/treeParams.scala ---
@@ -85,8 +85,10 @@ private[ml] trait DecisionTreeParams extends
PredictorPara
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@@ -810,13 +825,44 @@ private[spark] class HiveExternalCatalog(c
Github user gatorsmile commented on the issue:
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In [`renamePartition` of
`HiveExternalCatalog`](https://github.com/cloud-fan/spark/blob/56f3073162f0b53e4a3de686bba31c8eb6048123/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatal
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/MinHash.scala ---
@@ -76,7 +72,19 @@ class MinHashModel private[ml] (
@Since("2.1.0")
Github user dongjoon-hyun commented on the issue:
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Hi, @gatorsmile .
Could you review again?
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do you have a unit test to reproduce this bug?
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Github user zhengruifeng commented on the issue:
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@jkbradley There is somewhat misunderstanding. I close this PR because
there is a similar one. Sethah created SPARK-18282 just one day after this one.
And people reviewed that one. So I think
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Github user viirya commented on the issue:
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val ds = Seq(("a", 10), ("a", 20), ("b", 1), ("b", 2), ("c", 1)).toDS()
ds.groupByKey(_._1).agg(typed.sum(_._2), typed.sum(_._2)).collect
Part of Generated codes:
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Jenkins retest this please
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GitHub user viirya opened a pull request:
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[SQL] Evaluate common subexpression like lazy variable with a function
approach
## What changes were proposed in this pull request?
As per the discussion at #15807, we need to change the wa
Github user cloud-fan commented on the issue:
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Some more thoughts: in `ExpressionEncoder` we get the schema of encoder by
```
val schema = ScalaReflection.schemaFor[T] match {
case ScalaReflection.Schema(s: StructType, _) => s
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hi @gatorsmile do you have time to work on it? I'd like to get this into 2.1
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--- Diff:
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@@ -88,6 +88,21 @@ case class AnalyzeCreateTable(sparkSession
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--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala
---
@@ -365,4 +382,66 @@ private[hive] case class HiveUDAFFunction(
val
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thanks for the review, merging to master/2.1
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Github user cjjnjust commented on a diff in the pull request:
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Github user gatorsmile commented on the issue:
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Will carefully review it tonight. Thanks!
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -,6 +2223,9 @@ private[spark] object Utils extends Logging {
isBindColli
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
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