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Would you mind rebasing this off of the upstream master branch? I'm having
trouble running the tests for this PR locally.
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Anymore comments on this? @hvanhovell @cloud-fan @kiszk @maropu @ueshin
@mgaido91
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> I think we have a general problem with passing configs to code
generators. For this PR, let's make it simple and only use the conf in tests.
We are fine in tests because tests create these code
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retest this please.
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--- Diff: python/pyspark/worker.py ---
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[SPARK-24198][SparkR][SQL] Adding slice function to SparkR
## What changes were proposed in this pull request?
The PR adds the `slice` function to SparkR. The function returns a subset
of
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -208,6 +208,7 @@ NULL
#' head(select(tmp, array_contains(tmp$v1, 21), size(tmp$v1)))
#' head(select(tmp,
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--- Diff: R/pkg/R/client.R ---
@@ -60,13 +60,48 @@ generateSparkSubmitArgs <- function(args, sparkHome,
jars, sparkSubmitOpts, pack
combinedArgs
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--- Diff: R/pkg/R/client.R ---
@@ -60,13 +60,48 @@ generateSparkSubmitArgs <- function(args, sparkHome,
jars, sparkSubmitOpts, pack
combinedArgs
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--- Diff: R/pkg/DESCRIPTION ---
@@ -13,6 +13,7 @@ Authors@R: c(person("Shivaram", "Venkataraman", role =
c("aut", "cre"),
License: Apache License
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@Victsm you can close this PR now.
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LGTM. Merging to master / 2.3.
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[SPARK-24217][ML]Power Iteration Clustering is not displaying cluster
indices corresponding to some vertices
## What changes were proposed in this pull request?
1) Currently PIC in
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@@ -1,46 +0,0 @@
-/*
- * Licensed to the
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@cloud-fan, @jose-torres, I think this is ready for final review. I've
rebased on top of the rename to `InputPartition`.
I've also added a projection when this produces a physical plan to
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LGTM. Merging to master / 2.3.
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def
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[SPARK-24246][SQL]Improve AnalysisException by setting the cause when it's
available
## What changes were proposed in this pull request?
If there is an exception, it's better to set it as
Github user koeninger commented on the issue:
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@sansagara sounds reasonable to me
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Based on the comments in the JIRA, (
https://issues.apache.org/jira/browse/SPARK-24217), I am closing the issue.
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>> CSV parser now parses quoted values ~30% faster
> Could we add a micro-benmark suite for this?
@gatorsmile In this PR or in a separate one?
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I managed to fix the code path that is executed when the wholestage codegen
is turned off. Now both code paths give the same results and have the
optimization implemented. I also changed the tests
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Github user liyinan926 commented on the issue:
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Makes sense to me.
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Test PASSed.
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Github user foxish commented on the issue:
https://github.com/apache/spark/pull/21238
SG. @liyinan926, let's revisit this if we hear from 2.3 users.
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