Github user gatorsmile commented on the issue:
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The problem also exists in the other APIs:
like parquet, json and others.
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--- Diff:
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---
@@ -0,0 +1,171 @@
+/*
+ * Licensed to the Apache
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Let me check which code portion inserts ```Cast``` in this tree.
> And we do have a chance to optimize it: if the target array type's
element type is primitive and the input array type's
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+/*
+ * Licensed to the Apache
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--- Diff:
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@@ -45,6 +45,7 @@ case class
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Some more thoughts about it: Currently we only execute `Project` locally if
the underlying relation is `LocalRelation`. Is it possible that we can also
execute `Aggregate` locally? If it's too
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/NaiveBayes.scala ---
@@ -28,8 +28,9 @@ import org.apache.spark.ml.util._
import
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This seems pretty weird use case -- and can get into a lot of problems
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--- Diff:
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@@ -349,11 +349,12 @@ object MapObjects {
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--- Diff:
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@@ -259,6 +264,43 @@ private[spark] class SaveExecutorInfo extends
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Shall we change the logic in the Python wrapper and set `numPartitions`
correctly if it is `-1`? Please also update the PR description to add more
details to the changes.
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Merged into master and branch-2.0. Thanks!
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ok to test
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[SPARK-16095][YARN][WIP] Yarn cluster mode should return correct state for
SparkLauncher
## What changes were proposed in this pull request?
Yarn cluster mode should return correct state for
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LGTM pending Jenkins.
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--- Diff: python/pyspark/sql/streaming.py ---
@@ -224,6 +226,494 @@ def _to_java_trigger(self, sqlContext):
self.interval)
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Merging in master/2.0.
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--- Diff: docs/running-on-yarn.md ---
@@ -472,6 +472,29 @@ To use a custom metrics.properties for the application
master and executors, upd
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@zsxwing Let me try to fix it. Thanks!
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@rxin @hvanhovell Available to review this? Or wait for after 2.0 release?
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--- Diff: python/pyspark/sql/streaming.py ---
@@ -224,6 +226,494 @@ def _to_java_trigger(self, sqlContext):
self.interval)
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> the `Cast` performs conversion from `UnsafeArrayData` to
`GenericArrayData`.
`Cast` is used to cast one type to another, not cast one kind of data
representation to another, so I don't
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Jenkins, add to whitelist.
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Can one of the admins verify this patch?
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GitHub user petermaxlee opened a pull request:
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[SPARK-16271][SQL] Implement Hive's UDFXPathUtil
## What changes were proposed in this pull request?
This patch ports Hive's UDFXPathUtil over to Spark, which can be used to
implement
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JIRA will be added after server is up. cc @davies @sameeragarwal @rxin
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[SQL] Support null handling for vectorized hashmap during hash aggregate
## What changes were proposed in this pull request?
The current impl of vectorized hashmap does not support null keys.
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My patch #13955 has the partial fix, but I realized that there are no tests
so my patch did not actually fix this. Let merge this and then update my patch.
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--- Diff:
sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/codegen/BufferHolder.java
---
@@ -45,7 +45,13 @@ public
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--- Diff:
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@@ -45,7 +45,13 @@ public
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4 ---
@@ -45,11 +45,11 @@ statement
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https://github.com/apache/spark/pull/13517
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/13959
Merged build finished. Test FAILed.
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/13959
Test FAILed.
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