Github user inouehrs commented on the issue:
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TItle changed. Thanks
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@liancheng @tdas @zsxwing would you mind taking a look? Thanks!
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--- Diff:
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Github user rxin commented on the issue:
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Can you try to write a design doc on this? Would be great to discuss the
reasons why we might want this, the kind of queries that can be answered,
corner cases, and how it should be implemented. Thanks
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Github user rxin commented on the issue:
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hm probably shouldn't happen in this pr but i'm wondering if it'd make
sense to generalize AttributeSeq and use it everywhere, rather than
Seq[Attribute].
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/**
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Thanks - merging in master/2.0.
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GitHub user wangmiao1981 opened a pull request:
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[SPARK-15766][SparkR]:R should export is.nan
## What changes were proposed in this pull request?
When reviewing SPARK-15545, we found that is.nan is not exported, which
should be expo
Github user rxin commented on the issue:
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LGTM other than that small comment.
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va
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--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
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Logging with Executor
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[SPARK-15765][SQL][Streaming] Make continuous Parquet writing consistent
with non-consistent Parquet writing
## What changes were proposed in this pull request?
Currently there are some cod
Github user maropu commented on the issue:
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@rxin plz check this.
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
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LGTM
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@yhuai ping
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@falaki ping
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Here's a flame graph of bindReferences dominating the CPU used for a 10k
column query:
[profile](https://github.com/apache/spark/files/298644/slow-bind-refs.svg.zip)
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[hash code
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@rxin I have updated PR description. Thanks.
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@rxin, @ericl has some new benchmarks which operate on even wider schemas
and which uncovered this bottleneck. Adding the caching of the map here
resulted in a huge scalability improvement. Maybe
Github user JoshRosen commented on the issue:
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@rxin, I don't have the specific performance numbers handy but in an
optimizer stress-test benchmark run by @ericl, these hashCode calls accounted
for roughly 40% of the total CPU time and this bo
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Thanks @vanzin for review and merging.
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Qu
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Github user MechCoder commented on the issue:
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@praveendareddy21 Just made a first pass. Also please run PEP8 on your code
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cc @cloud-fan @yhuai
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Qu
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--- Diff: python/pyspark/ml/stat/distribution.py ---
@@ -0,0 +1,267 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13248#discussion_r65793951
--- Diff: python/pyspark/ml/stat/distribution.py ---
@@ -0,0 +1,267 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/13506
Can one of the admins verify this patch?
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GitHub user kevinyu98 opened a pull request:
https://github.com/apache/spark/pull/13506
[SPARK-15763][SQL] Support DELETE FILE command natively
## What changes were proposed in this pull request?
Hive supports these cli commands to manage the resource [Hive
Doc](https://cwiki.a
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13248#discussion_r65793865
--- Diff: python/pyspark/ml/stat/distribution.py ---
@@ -0,0 +1,267 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/13505
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Github user SparkQA commented on the issue:
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Github user SparkQA commented on the issue:
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Github user SparkQA commented on the issue:
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Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/13505#discussion_r65793015
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/BoundAttribute.scala
---
@@ -84,17 +84,27 @@ object BindReferences extends
Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/12938#discussion_r65792982
--- Diff: python/pyspark/ml/classification.py ---
@@ -183,7 +191,7 @@ def getThresholds(self):
If :py:attr:`thresholds` is set, return its value.
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