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How does the performance look like before / after this patch?
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Ping @mengxr @feynmanliang @yanboliang
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I think that one is ok since we have to scan the full table anyways. If it
becomes a performance issue we can also add this optimization.
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.booleanConf
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Github user hvanhovell commented on the issue:
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@windpiger I have taken a quick look at your PR. I think your approach has
merit, however I was wondering if it is easier not to extract/move the foldable
expressions at all?
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@rxin
Documents updated for every methods.
and still keep var name `preservesPartitioning` to keep consistent with
other places in code base.
thanks!
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I thought we had fixed this in 2.0 to make it consistent that anytime
--files is specified with yarn it goes through distributed cache. It shouldn't
be using the spark addFiles method to distribu
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@@ -598,8 +598,12 @@ private[spark] class Client(
).foreach { case (fli
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I have updated this PR according to these rules:
1. outside of `ExternalCatalog`, data source and hive tables should both
use `locationUri` to store table location.
2. inside `HiveExte
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`mvn compile` takes about 5 minutes on my laptop, and `mvn compile
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development, because incremental compiles are tens of second
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I will be back after testing/looking into other databases soon.
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Github user HyukjinKwon commented on the issue:
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https://github.com/apache/spark/pull/14788#issuecomment-242906410 here is
my observation. It seems usually option 1 ir option 3. I can take a look deeper
if we want to follow this or be very sur
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--- Diff: docs/configuration.md ---
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available, and may be useful
false
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available, and may be useful
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@vanzin @JoshRosen @yanboliang @brkyvz Please help review.
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What do other databases do? Does date_add in other databases support
timestamps?
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Could I then go for option 1.?
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[SPARK-18148][SQL] Misleading Error Message for Aggregation Without
Window/GroupBy
## What changes were proposed in this pull request?
Aggregation Without Window/GroupBy expressions wi
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--- Diff: pom.xml ---
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org.apache.spark
spark-parent_2.11
+
--- End diff --
So during the binary rel
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# We increment the Zinc port each time to avoi
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https://github.com/apache/spark/pull/15659#discussion_r85507910
--- Diff: bin/spark-shell ---
@@ -29,7 +29,7 @@ esac
set -o posix
if [ -z "${SPARK_HOME}" ]; then
- export SPARK_HOME="$(cd "`dirname "$0
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/15659#discussion_r85507670
--- Diff: dev/run-tests.py ---
@@ -583,6 +589,7 @@ def main():
modules_with_python_tests = [m for m in test_modules if
m.python_test_goals]
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/15659#discussion_r85507586
--- Diff: docs/building-spark.md ---
@@ -259,6 +259,12 @@ or
Java 8 tests are automatically enabled when a Java 8 JDK is detected.
If you have JDK 8
Github user SparkQA commented on the issue:
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GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/15671
[SPARK-14567][ML]Add instrumentation logs to MLlib training algorithms
## What changes were proposed in this pull request?
1, add instrumentation for MLP,NB,LDA,AFT,GLM,Isotonic,LiR,Ov
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