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--- Diff:
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+/*
+ * Licensed to the Apache Software Foun
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@rxin, I've updated this API to use `Filter` instead of `Expression`. I'd
ideally like to get it in soon if you guys have a chance to review it. It's
pretty small.
cc @cloud-fan
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[WIP][SPARK-23243][Core] Fix RDD.repartition() data correctness issue
## What changes were proposed in this pull request?
An alternative fix for https://github.com/apache/spark/pull/21698
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I tried a prototype to fix the handling of fetch failure, seems not that
hard: https://github.com/apache/spark/pull/22112
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3367,6 +3367,35 @@ def test_ignore_column_of_all_nulls(self):
finally:
shutil.
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haven't look at code yet, does it just fail with ResultTask then?
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LGTM. Merged into master. Thanks!
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@HyukjinKwon Thanks for the feedback! We will replace the py4j route by a
special implementation that can only trigger "context.barrier()" in JVM.
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[SPARK-25126] Lazily create Reader for orc files
## What changes were proposed in this pull request?
Currently Reader is created for every orc file under the directory and then
the first one
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thanks for the follow up. i will rebase this patch to latest master
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I am fine to not revert it since it is too late. So many related PRs have
been merged, but we need to seriously consider writing and reviewing the design
docs before changing the code generation
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@rxin, I've updated this to use a new interface, `PartitionTransform`,
instead of `Expression`. This is used to pass well-known transformations when
creating tables, like `Filter` is used to pass a s
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nevermind see you have an abortStage in there for ResultTask
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Github user tgravescs commented on the issue:
https://github.com/apache/spark/pull/22112
need to look at in more detail but if its straight forward could at least
do this short term for the repartition case.
I guess I question whether we really want to do it for zip and other
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Github user vanzin commented on the issue:
https://github.com/apache/spark/pull/21661
Even though there's talk of EOLing 2.1, I think this can still be helpful
later since there's also talk of removing the hadoop-2.6 build from 2.4, and
the code here makes it easy to make those adjust
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