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Major changes in the most recent commits:
- Combine the `Union`s during the construction (i.e., in the `DataFrame`
and `Dataset` APIs)
- Use tail
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LGTM
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Github user holdenk commented on the pull request:
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I'd chatted some with @mateiz about having some public testing API
(although not necessarily this approach). @rxin do you think not just so much
this approach or not a
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@viirya @yhuai @srowen @marmbrus @concretevitamin:
SHUFFLE_TARGET_POSTSHUFFLE_INPUT_SIZE was added by spark-9850, PR#9276, I am
including Yin ,
Michael set the
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--- Diff:
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@@ -153,32 +154,45 @@ object SetOperationPushDown
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -608,7 +609,9 @@ class Dataset[T] private[sql](
* duplicate items. As such,
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--- Diff: core/src/main/scala/org/apache/spark/api/java/JavaPairRDD.scala
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@@ -17,8 +17,8 @@
package org.apache.spark.api.java
+import
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--- Diff: core/src/main/scala/org/apache/spark/api/java/JavaPairRDD.scala
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@@ -288,17 +288,18 @@ class JavaPairRDD[K, V](val rdd: RDD[(K, V)])
*
GitHub user falaki opened a pull request:
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[SPARK-12420][SQL] Have a built-in CSV data source implementation
CSV is the most common data format in the "small data" world. It is often
the first format people want to try when they see Spark
Github user rxin commented on the pull request:
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It might be useful to have some public testing of some form, but I don't
think depending on junit or scalatest is going to fly. I also don't want to
just in an ad-hoc way
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--- Diff:
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+/*
+ * Licensed to the Apache Software
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test this please
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--- Diff:
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@@ -235,6 +261,11 @@ object HiveTypeCoercion {
Github user shivaram commented on the pull request:
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@NarineK FYI #10584 has been merged. If you rebase / merge with master you
should be able to see the changes.
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@jkbradley Get it and close it.
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SQLConf.scala ---
@@ -451,6 +452,19 @@ private[spark] object SQLConf {
doc = "When true, we
Github user davies commented on the pull request:
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@hvanhovell Here is the result after having a fast path for small partition:
```
+-++--+---+-+
| Size|
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+/*
+ * Licensed to the Apache Software
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@maropu Let me explain. The case sensitivity in spark sql is actually
configurable. For HiveContext, we use case insensitive resolution.
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Yeah, my own fault most probably.
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I have the same question as @marmbrus, do we need two methods for int and
long? Looks like they are very similar.
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Merged build finished. Test FAILed.
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**[Test build #48828 has
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