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GitHub user CodingCat opened a pull request:
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Partition level pruning 2
## What changes were proposed in this pull request?
In the current implementation of Spark, InMemoryTableExec read all data in
a cached table, filter
Github user mgaido91 commented on the issue:
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@kiszk I meant that `janinoc` creates a slightly different constant pool
from `javac`. I am not sure about performances, but the number of constant pool
entries is definitely different. For
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ping @cloud-fan
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[SPARK-17920][SQL] [FOLLOWUP] Backport PR 19779 to branch-2.2
## What changes were proposed in this pull request?
A followup of
> https://github.com/apache/spark/pull/19795
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retest this please
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Github user maropu commented on the issue:
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I like the latest @kiszk hybrid idea in terms of performance and
readability. Also, this is a corner case, so I don't want affect most regular
small queries.
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@@ -211,8 +211,8 @@ private[spark] class
Github user jerryshao commented on the issue:
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Do we have to put this in Spark, is it a necessary part of k8s? I think if
we pull in that PR(https://github.com/apache/spark/pull/11994), then this can
be stayed out of Spark as a package. Even
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Github user jerryshao commented on the issue:
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Can you please explain more, and how to reproduce this issue? Spark's RPC
is not designed for version compatible.
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@@ -812,10 +812,13 @@ private[spark] object MapOutputTracker extends
Logging {
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--- Diff: bin/find-spark-home.cmd ---
@@ -32,7 +32,7 @@ if not "x%PYSPARK_PYTHON%"=="x" (
)
rem If there is python installed, trying to
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--- Diff: bin/spark-sql.cmd ---
@@ -0,0 +1,25 @@
+@echo off
+
+rem
+rem Licensed to the Apache Software Foundation (ASF) under one or
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cc @cloud-fan, @felixcheung, @jsnowacki and @srowen who I could think are
probably interested in this.
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[SPARK-22597][SQL] Add spark-sql cmd script for Windows users
## What changes were proposed in this pull request?
This PR proposes to add cmd scripts so that Windows users can also run
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Github user kiszk commented on the issue:
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@mgaido91 Thank you for your questions.
1. I am using `javac` as shown. I am sorry that I cannot understand what
you are pointing out. In this benchmark, what are differences between `javac`
and
Github user kiszk commented on the issue:
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Based on performance results and usage of constant pool entry, I would like
to use hybrid approach with flat global variable and array.
For example, first 500 variables are stored into flat
Github user kiszk commented on the issue:
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I created and ran another synthetic benchmark program for comparing flat
global variables, inner global variables, and array. In summary, the
followings are performance results (**small number is
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Two comments, LGTM otherwise.
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LGTM pending AppVeyor tests.
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Thanks! Merged to master.
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ok to test
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