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Github user MLnick commented on a diff in the pull request:
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--- Diff: docs/ml-features.md ---
@@ -151,7 +151,7 @@ for more details on the API.
term frequency across the corpus. An optional parameter `minDF` also
Github user rxin commented on the pull request:
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BTW don'r forget to update the title too.
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--- Diff: docs/ml-features.md ---
@@ -1100,7 +1100,7 @@ for more details on the API.
categorical features. The number of bins is set by the `numBuckets`
Github user MLnick commented on a diff in the pull request:
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--- Diff: docs/ml-features.md ---
@@ -1098,9 +1098,9 @@ for more details on the API.
`QuantileDiscretizer` takes a column with continuous features a
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@@ -1443,6 +1445,32 @@ class Analyzer(
}
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -787,6 +787,9 @@ def csv(self, path, mode=None, compression=None,
sep=None, quote=None, escape=No
Github user rxin commented on a diff in the pull request:
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--- Diff: sql/core/pom.xml ---
@@ -39,7 +39,7 @@
com.univocity
univocity-parsers
- 2.1.0
+ 2.1.1
--- End di
Github user wangmiao1981 commented on the pull request:
https://github.com/apache/spark/pull/13284#issuecomment-221487340
@vectorijk please run conflicts(detail = TRUE) and check the
$package:SparkR with test_context.R, namesOfMasked.
3.2.0 should have more methods than 3.1.0.
-
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Github user vectorijk commented on the pull request:
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> @shivaram I will make the change with R version check.
@wangmiao1981 FYI, I have switched to R 3.1.3 before on Mac. It seems fail
too. Do you mind try it
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Github user jurriaan commented on the pull request:
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@rxin Done :)
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@vectorijk As we discussed above, R version is different on local and
Jenkins. We installed R 3.3.0 in local while Jenkins still uses the old version.
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jenkins retest this please
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We may also investigate why unit test run differently on Jenkins and local.
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Github user yhuai commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -1443,6 +1445,32 @@ class Analyzer(
}
/
Github user wangmiao1981 commented on a diff in the pull request:
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--- Diff: R/pkg/inst/tests/testthat/test_context.R ---
@@ -24,10 +24,18 @@ test_that("Check masked functions", {
func <- lapply(masked, function(x
Github user shivaram commented on the pull request:
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Ok - lets just fix the masking and the subset ones in this PR. Once we
understand what is the problem with `pipeRDD` we can fix it in a separate PR.
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--- Diff: R/pkg/inst/tests/testthat/test_context.R ---
@@ -24,10 +24,18 @@ test_that("Check masked functions", {
func <- lapply(masked, function(x) {
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GitHub user yhuai opened a pull request:
https://github.com/apache/spark/pull/13290
[SQL] Prevent illegal NULL propagation when filtering outer-join results
## What changes were proposed in this pull request?
This is another approach for addressing SPARK-13484 (the first approach
Github user wangmiao1981 commented on the pull request:
https://github.com/apache/spark/pull/13284#issuecomment-221483353
@shivaram @felixcheung For the failure pipedRDD test case, if I copy &
paste it in the SparkR, it works fine.
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Github user mengxr commented on the pull request:
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It is more correct and it is a private API. So this LGTM pending Jenkins.
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Github user mengxr commented on the pull request:
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test this please
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/13219#issuecomment-221480232
@viirya I think we need a test for the picklers. See
https://github.com/apache/spark/blob/master/mllib/src/test/scala/org/apache/spark/mllib/api/python/PythonMLLibAPISuit
Github user shivaram commented on the pull request:
https://github.com/apache/spark/pull/12836#issuecomment-221478783
Lets keep it as `dapply` - The specific choice of applying on a partition
as a data frame is built into its semantics. If we do build a single row UDF
then we can make
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Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/13284#issuecomment-221477942
as for subset - maybe tighter signature matching checks in R 3.3.0? I
couldn't find any reference on that though.
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Github user felixcheung commented on the pull request:
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so startsWith endsWith were definitely added in 3.3.0.
I think we should be able to change the generic to match the signature to
get it to work (have not tried i
Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/12836#issuecomment-221477758
@NarineK, mapply does not apply here, but we can later add something like
lapply, which applies a function to each row in a DataFrame. I suddenly
realized that it could
Github user shivaram commented on the pull request:
https://github.com/apache/spark/pull/13284#issuecomment-221477450
Ok - so that explains one of the problems. Does anybody know what the
problem in `subset` is ?
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Github user wangmiao1981 commented on the pull request:
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@shivaram I will make the change with R version check.
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Github user shivaram commented on the pull request:
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Continuing from my previous message, we can't add or remove `endsWith` and
`startsWith` as we want to support all R versions from 3.1.0 onwards. We could
get the R ver
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/13107#issuecomment-221476424
TimSort require a temporary buffer to store the shorter part, which could
be half of the size of pointer array in worst case. This depends on the
original order of rows,
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/13287#issuecomment-221476178
Thanks for the pull request. Can you format the description better?
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Github user shivaram commented on the pull request:
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Hmm looks like `startsWith` and `endsWith` were added in R 3.3.0 - See
http://www.r-statistics.com/2016/05/r-3-3-0-is-released/
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Github user wangmiao1981 commented on the pull request:
https://github.com/apache/spark/pull/13284#issuecomment-221476011
@shivaram The pipedRDD one seems working when using sudo in Linux. My mac
does not work though.
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https://github.com/apache/spark/pull/13284#issuecomment-221475769
@felixcheung
> conflicts(detail = TRUE)
$.GlobalEnv
[1] "df"
$`package:SparkR`
[1] "alias" "cov" "filter""fitte
Github user shivaram commented on the pull request:
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LGTM. Merging this to master and branch-2.0
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LGTM. Merging this to master and branch-2.0
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R version 3.3.0 (2016-05-03) -- "Supposedly Educational"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin13.4.0 (6
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Thanks for reviewing. Merging to master / 2.0.
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Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/12772#issuecomment-221470057
Sorry, I am unable to reproduce it. Without the fix, the following test
case works well.
```scala
val data = Seq(("A\tB\tC\tD\t\t"), ("E\tF\tD\tE\t"
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13284#discussion_r64513464
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1445,7 +1445,11 @@ setMethod("[", signature(x = "SparkDataFrame"),
#' }
setMethod("subset", signature(x =
Github user asfgit closed the pull request at:
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -1445,7 +1445,11 @@ setMethod("[", signature(x = "SparkDataFrame"),
#' }
setMethod("subset", signature(x =
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13284#discussion_r64513429
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1445,7 +1445,11 @@ setMethod("[", signature(x = "SparkDataFrame"),
#' }
setMethod("subset", signature(x =
Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/13273#issuecomment-221469762
Merging to master and branch-2.0.
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Github user felixcheung commented on the pull request:
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I'm seeing the error with `subset` as well.
As for "endsWith", "startsWith" - could you check what you have in your
environment - you could run `conflicts(detail
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/13267#issuecomment-221469255
Yea I agree with escapeQuotes.
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@jurriaan want to do the change?
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Github user falaki commented on the pull request:
https://github.com/apache/spark/pull/13267#issuecomment-221468338
@rxin and @jurriaan I agree to keep it set by default. However, I think it
is better to leave it configurable. In two cases before, I assumed a reasonable
default value
Github user asfgit closed the pull request at:
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Merging in master/2.0.
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@Parth-Brahmbhatt you should add the email address you used in your commit
to your github profile, so the commit is associated with your account. Thanks.
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Thanks - merging in master/2.0.
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Thanks - look forward to it.
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- [ ] fix failed tests (hiveContext related)
- [ ] check on roxygen2 generated doc
- [ ] update code examples in doc to remove sqlContext (I'd like
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