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@rxin Yeah, I think it's better to move histograms into ColumnStats than to
maintain two members like BasicColStats and Histograms. Let me rename
`BasicColStats` as `ColumnStats` so that all the colum
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What's "basic" about? Are we going to have something that's not basic in
the future (e.g. histogram)? If yes, should those go into a separate class or
just in ColumnStats?
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Github user rxin commented on the issue:
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hard coding output seems like a good idea.
additionally, if you want to be super safe, you could also create a
randomized test in sql/hive.
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[SPARK-5484][GraphX] Periodically do checkpoint in Pregel
## What changes were proposed in this pull request?
Pregel-based iterative algorithms with more than ~50 iterations begin to
slow down
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[SPARK-17559][MLLIB]persist edges if their storage level is non in
PeriodicGraphCheckpointer
## What changes were proposed in this pull request?
When use PeriodicGraphCheckpointer to persist gra
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Close the pr since it mix with another unrelated commit
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--- Diff:
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@@ -0,0 +1,159 @@
+/*
+ * Licensed to the Apac
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This is based on https://github.com/apache/spark/pull/15107 but cleaned up
a little bit.
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[SPARK-17551][SQL] Add DataFrame API for null ordering
## What changes were proposed in this pull request?
This pull request adds Scala/Java DataFrame API for null ordering (NULLS
FIRST | L
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Github user keypointt commented on the issue:
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I just noticed, that at http://spark.apache.org/research.html
> Spark offers an abstraction called resilient distributed datasets (RDDs)
to support these applications efficiently.
Github user keypointt commented on the issue:
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Just to be consistent with the url at http://spark.apache.org/research.html
> Resilient Distributed Datasets: A Fault-Tolerant Abstraction for
In-Memory Cluster Computing. Matei Zaharia, M
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https://github.com/apache/spark/pull/15122
also cc @cloud-fan
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Github user SparkQA commented on the issue:
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Github user brkyvz commented on the issue:
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cc @zsxwing @yhuai
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Github user skambha commented on a diff in the pull request:
https://github.com/apache/spark/pull/13822#discussion_r79265065
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/tables.scala ---
@@ -660,6 +662,10 @@ case class ShowPartitionsCommand(
overr
GitHub user brkyvz opened a pull request:
https://github.com/apache/spark/pull/15122
[SPARK-17569] Make StructuredStreaming FileStreamSource batch generation
faster
## What changes were proposed in this pull request?
While getting the batch for a `FileStreamSource` in Struc
Github user skambha commented on a diff in the pull request:
https://github.com/apache/spark/pull/13822#discussion_r79265007
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
---
@@ -595,6 +595,19 @@ class HiveDDLSuite
}
}
Github user SparkQA commented on the issue:
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GitHub user keypointt opened a pull request:
https://github.com/apache/spark/pull/15121
[SPARK-17567] Use valid url to Spark RDD paper
https://issues.apache.org/jira/browse/SPARK-17567
## What changes were proposed in this pull request?
Documentation
(http://spark.
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Github user skambha commented on a diff in the pull request:
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--- Diff:
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@@ -595,6 +595,19 @@ class HiveDDLSuite
}
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Github user skambha commented on the issue:
https://github.com/apache/spark/pull/13822
Thank you so much Andrew for reviewing. I appreciate it.
I have taken care of your comments and also rebased. Please take a look.
Thanks.
My changes were doing two things:
1) R
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