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
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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
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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 |
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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.
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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,
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also cc @cloud-fan
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cc @zsxwing @yhuai
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--- Diff:
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@@ -660,6 +662,10 @@ case class ShowPartitionsCommand(
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[SPARK-17569] Make StructuredStreaming FileStreamSource batch generation
faster
## What changes were proposed in this pull request?
While getting the batch for a `FileStreamSource` in
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}
}
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[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
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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)
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[SPARK-4563][core] Allow driver to advertise a different network address.
The goal of this feature is to allow the Spark driver to run in an
isolated environment, such as a docker container, and
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GitHub user BryanCutler opened a pull request:
https://github.com/apache/spark/pull/15119
[SPARK-17568][CORE][DEPLOY] Add spark-submit option to override ivy
settings used to resolve packages/artifacts
## What changes were proposed in this pull request?
Adding option in
Github user darabos commented on the issue:
https://github.com/apache/spark/pull/14975
> +1. There are other occurrences of "FetchSize" or "fetchSize" in the
code, though none will matter for users (i.e. test names). But feel free to fix
them.
Done.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/15089
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