GitHub user vanzin opened a pull request:
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[SPARK-23601][build][follow-up] Keep md5 checksums for nexus artifacts.
The repository.apache.org server still requires md5 checksums or
it won't publish the staging repo.
You can merge this
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Github user ash211 commented on the issue:
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Hi @rubenfiszel thanks for the contribution! Can you please take a glance
through http://spark.apache.org/contributing.html to see the best way to get
your change merged into Apache Spark?
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Github user DylanGuedes commented on a diff in the pull request:
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--- Diff:
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@@ -90,6 +90,88 @@ case class
Github user DylanGuedes commented on a diff in the pull request:
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Github user DylanGuedes commented on the issue:
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@mn-mikke thank you! Any idea on how to access elements of individual
arrays? In the old version I written a 'getValue' that uses
`CodeGenerator.getValue`, but since now it is a 2d data
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+/*
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--- Diff:
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+/*
+ * Licensed to the Apache
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@HeartSaVioR @arunmahadevan @xuanyuanking
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[SPARK-24234][SS] Reader for continuous processing shuffle
## What changes were proposed in this pull request?
Read RDD for continuous processing shuffle, as well as the initial
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[SPARK-24286][Documentation] DataFrameReader.csv - Add missing aliasâ¦
## What changes were proposed in this pull request?
Documentation misses out on an alias option available for
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Github user jose-torres commented on the issue:
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We're definitely agreed on the broad idea of having a
ContinuousShuffleExchangeExec which reuses most of the existing
ShuffleExchangeExec.
As discussed in the other PR, I'm not sure
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@cloud-fan I added the above-mentioned check for `isBroadcast` and only
release resources if it's a broadcast ID. This will affect the MapOutputTracker
as well, but I think it's a pretty
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[SPARK-24231][PYSPARK][ML] Provide Python API for evaluateEachIteration
for spark.ml GBTs
## What changes were proposed in this pull request?
Add evaluateEachIteration for
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Merging to master
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That's fine, but I'm not going to wait indefinitely for their feedback.
They've already been pinged multiple times here and on jira to comment on this
issue.
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Github user gatorsmile commented on the issue:
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I would like to hear more inputs from the reviewers of the original PR. cc
@onursatici @ash211 @hvanhovell @jiangxb1987
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Github user mengxr commented on the issue:
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@maropu Thanks for the update! I saw some test failures, no sure if they
are relevant. Looking at the changes, I feel we don't need to handle the
streaming scenarios in the same PR. We just add a
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lgtm except one comment
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--- Diff:
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@@ -42,9 +43,9 @@
*
* Note that if a
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*
* Note that if a
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Improve ParseError stop location when offending symbol is a token
In the case where the offending symbol is a CommonToken, this PR increases
the accuracy of the start and stop origin by
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cc @hvanhovell
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@cloud-fan So your suggestion makes sense - it seems like the best path
forward is to check the `isBroadcast` flag on the BlockId passed in to
`MemoryStore.remove` and release resources only if
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--- Diff:
core/src/main/scala/org/apache/spark/storage/memory/MemoryStore.scala ---
@@ -384,15 +385,36 @@ private[spark] class MemoryStore(
}
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/21333
Test PASSed.
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