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LGTM. Merging.
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--- Diff:
sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeArrayData.java
---
@@ -0,0 +1,354 @@
+/*
+ * Licensed to the Apache
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Github user mengxr commented on the pull request:
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Okay. Let's merge this first. I will submit a PR for `PrefixSpanModel`.
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+/*
+ * Licensed to the Apac
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Github user andrewor14 commented on the pull request:
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@zsxwing This looks great. One high level question: why are there so few
dataframe operations with `withNewExecutionId`? Are you wrapping only those
that will trigger
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/ui/SQLSparkListener.scala ---
@@ -0,0 +1,281 @@
+/*
+ * Licensed to the Apache Software Foun
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--- Diff:
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@@ -0,0 +1,281 @@
+/*
+ * Licensed to the Apache Software Foun
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--- Diff:
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@@ -0,0 +1,281 @@
+/*
+ * Licensed to the Apache Software Foun
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--- Diff:
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@@ -0,0 +1,281 @@
+/*
+ * Licensed to the Apache Software Foun
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/ui/AllExecutionsPage.scala ---
@@ -0,0 +1,230 @@
+/*
+ * Licensed to the Apache Software Fou
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--- Diff:
core/src/test/java/org/apache/spark/util/collection/unsafe/sort/UnsafeExternalSorterSuite.java
---
@@ -82,6 +82,8 @@ public int compare(
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--- Diff:
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---
@@ -82,6 +82,8 @@ public int compare(
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashJoin.scala
---
@@ -58,13 +58,26 @@ case class BroadcastHashJoin(
Github user andrewor14 commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSQLExecution.scala
---
@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Softw
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSQLExecution.scala
---
@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Softw
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashOuterJoin.scala
---
@@ -57,13 +57,26 @@ case class BroadcastHashOuterJoin(
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--- Diff:
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@@ -0,0 +1,281 @@
+/*
+ * Licensed to the Apache Software Foun
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/ui/SQLSparkListener.scala ---
@@ -0,0 +1,281 @@
+/*
+ * Licensed to the Apache Software Foun
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/ui/ExecutionPage.scala ---
@@ -0,0 +1,154 @@
+/*
+ * Licensed to the Apache Software Foundat
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSQLExecution.scala
---
@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Softw
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashOuterJoin.scala
---
@@ -57,13 +57,26 @@ case class BroadcastHashOuterJ
Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/7191#issuecomment-126992068
I'm looking into the failures caused by Parquet dependency. Hive shades
Parquet classes into its own private namespace. I think we miss a shading
somewhere in the upda
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@@ -0,0 +1,84 @@
+/*
+ * Licensed to the Apache Softw
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@@ -58,13 +58,26 @@ case class BroadcastHashJoin(
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/LocalTableScan.scala ---
@@ -34,9 +34,16 @@ private[sql] case class LocalTableScan(
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--- Diff:
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---
@@ -35,3 +37,62 @@ case class Size(child: Expre
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---
@@ -35,3 +37,62 @@ case class Size(child: Expre
Github user feynmanliang commented on the pull request:
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Is it still called logistic regression when there's multiple classes (I've
always called the multi class version softmax)?
In any case, I think this pr i
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@@ -35,3 +37,62 @@ case class Size(child: Expre
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala ---
@@ -75,6 +76,13 @@ class SQLContext(@transient val sparkContext:
SparkContext)
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--- Diff:
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@@ -0,0 +1,330 @@
+/*
+ * Licensed to the Apache Software Foundation (A
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OK, I fixed the concern with the local `doCheckpoint()`. That was a good
catch.
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--- Diff: python/pyspark/sql/functions.py ---
@@ -850,6 +851,22 @@ def size(col):
return Column(sc._jvm.functions.size(_to_java_column(col)))
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--- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala ---
@@ -1448,33 +1468,92 @@ abstract class RDD[T: ClassTag](
/**
* Mark this RDD
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@mengxr Java compatibility might require API changes since `Item` type
parameter will not be inferred in Java's call to:
```scala
def run[Item, Basket
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@@ -0,0 +1,83 @@
+/*
+ * Licensed to the Apache Software Founda
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--- Diff: core/src/test/scala/org/apache/spark/ContextCleanerSuite.scala ---
@@ -52,6 +51,7 @@ abstract class ContextCleanerSuiteBase(val
shuffleManager: C
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--- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala ---
@@ -1448,33 +1468,92 @@ abstract class RDD[T: ClassTag](
/**
* Mark th
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/**
* Mark th
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private final LinkedList
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Github user davies commented on the pull request:
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I'm going to merge this to unblock others (unsafe array and map).
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I'm going to merge this, if there is something we could improve, could do
it later.
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Github user tdas commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/rdd/LocalRDDCheckpointData.scala ---
@@ -0,0 +1,83 @@
+/*
+ * Licensed to the Apache Software Foundation (
Github user tdas commented on the pull request:
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I did a pass. And there is one critical question that is not clear to me --
how does the LocalCheckpointRDDData.doCheckpoint() work in a distributed
manner.
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