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--- Diff: core/src/main/scala/org/apache/spark/storage/StorageUtils.scala
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/** Helper
Github user mccheah commented on the issue:
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I'm curious as to how much specific K8s guidance we should be giving in
Spark documentation. There is such a thing as over-documenting; though we
should certainly bias towards writing more
Github user cloud-fan commented on the issue:
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thanks, merging to 2.4!
Since we have more violates in the master branch, I did not forward port
it, and I'll cherry-pick it in another PR.
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
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--- Diff: common/unsafe/src/main/java/org/apache/spark/unsafe/Platform.java
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unaligned = _unaligned;
}
+ //
Github user imatiach-msft commented on the issue:
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@srowen , @drdarshan mentioned that it may be better to fix livy instead of
spark. The problem is that when using the %%configure magic
spark.jars.packages does not add the python files in
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FYI
This is unused code Iâm going to remove it
https://github.com/apache/spark/blob/master/R/pkg/src-native/string_hash_code.c
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> The reason is that each bucket file is too big
Can you elaborate please? Is it because we don't chunk each file into
multiple splits when we read bucketed table?
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unaligned = _unaligned;
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Github user cloud-fan commented on the issue:
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I'd like to merge this simple PR first, to address the performance problem
(unnecessary subquery execution).
Let's create a new ticket for subquery filter pushing to data source, and
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In this way, we could postpone R upgrade after Spark 3.0.0 release in
Jenkins, and could still test the deprecated R version 3.1.
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--- Diff: core/src/main/scala/org/apache/spark/storage/StorageUtils.scala
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--- Diff: core/src/main/scala/org/apache/spark/storage/StorageUtils.scala
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/** Helper
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--- Diff:
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--- Diff: docs/index.md ---
@@ -31,7 +31,8 @@ Spark runs on both Windows and UNIX-like systems (e.g.
Linux, Mac OS). It's easy
locally on one
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--- Diff: R/pkg/R/sparkR.R ---
@@ -283,6 +283,10 @@ sparkR.session <- function(
enableHiveSupport = TRUE,
...) {
+ if
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--- Diff: docs/index.md ---
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Linux, Mac OS). It's easy
locally on one
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--- Diff: R/WINDOWS.md ---
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To build SparkR on Windows, the following steps are required
1. Install R (>= 3.1) and
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merged to master/2.4
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--- Diff: R/pkg/R/SQLContext.R ---
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createDataFrame <- function(data, schema = NULL,
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--- Diff:
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
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unaligned = _unaligned;
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/** Helper
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--- Diff: docs/structured-streaming-programming-guide.md ---
@@ -530,6 +530,8 @@ Here are the details of all the sources in Spark.
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--- Diff: project/MimaExcludes.scala ---
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BTW can you include a simple benchmark to show this problem? e.g. just run
a query in spark-shell, and post the result before and after this PR.
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Yes. The `filePartitions` are the same as the bucket number when
`BucketedRead`:
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thanks, merging to master!
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since this PR only touches mima, and the jenkins already passed the mima
check, I'm going to merge it to master, thanks!
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@imatiach-msft I think this is a Spark bug not Livy's. Livy just calls
SparkSubmit with "spark-internal" type of resource, with "spark.jars.pacakges"
setting. SparkSubmit module is the one who
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Nice. Thanks!. BTW Felix, are you maybe worrying about that we happen to
upgrade R version in Jenkins to 3.4 and .. we could break lower deprecated R
version support in Spark 3.0 I guess?
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thx, but DO NOT MERGE - there's some nasty bug I'm still investigating..
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Looks fine to me. adding @cloud-fan and @hvanhovell
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@srowen Great thanks for your guidance, address all your suggestion in
ff234d3 and update the record table in
https://github.com/apache/spark/pull/22989#issuecomment-437939830.
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