Github user viirya commented on the issue:
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ping @yhuai I've addressed the comments. Please take a look again. Thanks!
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Github user viirya commented on the issue:
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Don't know who is best person to review this... cc @rxin
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cc @rxin
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I rewrote the patch as suggested by @cloud-fan (based on
https://github.com/apache/spark/pull/13269/files#diff-585631b931d2b881e65c585dec11cadbR36).
Also, I added a test case to reproduce the er
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[SPARK-15750][MLLib][PYSPARK] Constructing FPGrowth fails when no
numPartitions specified in pyspark
## What changes were proposed in this pull request?
Change FPGrowth from private to priv
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Can one of the admins verify this patch?
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GitHub user huaxingao opened a pull request:
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[SPARK-15749][SQL]make the error message more meaningful
## What changes were proposed in this pull request?
For table test1 (C1 varchar (10), C2 varchar (10)), when I insert a row
using
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Github user liancheng commented on the issue:
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Let's wait for #13269 first.
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@srowen Thanks!
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Let's wait for #13269 first.
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Github user asfgit closed the pull request at:
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LGTM, merging to master and branch-2.0. Thanks for fixing this!
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GitHub user JoshRosen opened a pull request:
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[SPARK-15748][SQL] Replace inefficient foldLeft() call with flatMap() in
PartitionStatistics
`PartitionStatistics` uses `foldLeft` and list concatenation (`++`) to
flatten an iterator of lists,
Github user JoshRosen commented on the issue:
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@ericl also observed this same perf. bottleneck in his profiling.
I'll update the benchmark numbers tomorrrow.
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Merging to master and branch-2.0.
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Just rebased this branch.
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--- Diff: R/pkg/R/generics.R ---
@@ -695,10 +695,6 @@ setGeneric("desc", function(x) {
standardGeneric("desc") })
#' @rdname column
#' @e
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--- Diff: R/pkg/R/generics.R ---
@@ -695,10 +695,6 @@ setGeneric("desc", function(x) {
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#' @rdname column
#' @
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -1069,6 +1079,8 @@ setMethod("first",
#'
#' @param x A SparkDataFrame
#'
+#' @family SparkDataFram
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Github user gatorsmile commented on the issue:
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LGTM except a few comments in test cases. : )
@cloud-fan @yhuai Could you please review this PR? Thanks!
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LGTM
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--- Diff: R/pkg/R/generics.R ---
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#' @rdname column
#' @e
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Github user felixcheung commented on the issue:
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please remove the workaround in test_context.R
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--- Diff: R/pkg/R/column.R ---
@@ -151,6 +151,40 @@ setMethod("substr", signature(x = "Column"),
column(jc)
})
+
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--- Diff: R/pkg/R/column.R ---
@@ -151,6 +151,40 @@ setMethod("substr", signature(x = "Column"),
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@gatorsmile added comments and also updated the PR description.
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--- Diff:
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---
@@ -140,6 +170,32 @@ case class CatalogTable(
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@@ -48,7 +49,26 @@ case class CatalogStorageFormat(
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--- Diff:
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@@ -65,8 +85,18 @@ case class CatalogColumn(
//
Github user JoshRosen commented on the issue:
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Want to do more benchmarking to investigate something so don't merge yet.
On Thu, Jun 2, 2016 at 7:27 PM UCB AMPLab wrote:
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Github user vanzin commented on the issue:
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retest this please
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Github user gatorsmile commented on the issue:
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@cloud-fan @andrewor14 In this scenario, we do not have the case
sensitivity issues. All the catalog columns are converted to lower case by
https://github.com/apache/spark/blob/d109a1beeef5bca1e6
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--- Diff:
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@@ -46,7 +46,18 @@ class RelationalGroupedDataset protected[sql
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Github user dhruve commented on the issue:
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Cool. Thanks for reviewing the changes. Once this gets merged, I will file
a JIRA for the refactoring.
This one's been open for quite some time now.
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Github user BryanCutler commented on the issue:
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Thanks @MLnick , I made those changes. The string representation for the
RFormulaModel is really ugly - it has lots of `WrappedArray` types. I took all
that out of the doc test, so let me know
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Github user JoshRosen commented on the issue:
https://github.com/apache/spark/pull/13456
LGTM. I'm going to merge this in for now so that we can divide-and-conquer
on perf. improvement work. Let's deal with any additional feedback in followups.
I'm also going to merge this int
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Github user tedyu commented on a diff in the pull request:
https://github.com/apache/spark/pull/13473#discussion_r65649617
--- Diff: core/src/main/scala/org/apache/spark/storage/BlockManager.scala
---
@@ -403,6 +403,17 @@ private[spark] class BlockManager(
}
/**
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Github user zzcclp commented on the issue:
https://github.com/apache/spark/pull/12105
@rajeshbalamohan , Is there any progress yet? We meet the same performance
issues when formatting date or operating string-to-date .
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