Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/3820#issuecomment-70450284
I've tested this PR but the result seems to be off.
Parquet generated from Hive with timestamp values set by
'from_utc_timestamp('1970-01-01 08:00:00','PST
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/3820#issuecomment-70904105
Good to hear. Here's how I create my test data, I run this in Hive and then
take the data from HDFS directly and Spark is able to read/parse the data file
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/3820#discussion_r23256480
--- Diff: docs/sql-programming-guide.md ---
@@ -581,6 +581,15 @@ Configuration of Parquet can be done using the
`setConf` method on SQLContext
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/5096#issuecomment-85816756
@redbaron, @oscaroboto The same applies to memory consumption I'm afraid.
There isn't a way to constraint how much
[R](https://stat.ethz.ch/R-manual/R-devel/library
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/6759#discussion_r32299296
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetConverter.scala ---
@@ -498,69 +493,21 @@ private[parquet] object
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/6743#discussion_r33654496
--- Diff: core/src/main/scala/org/apache/spark/api/r/RUtils.scala ---
@@ -0,0 +1,55 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/8360#issuecomment-133523560
From what I can infer from the original JIRA is that we are trying to match
R data.frame behavior.
I think it is handy, though it is easy to think of several
GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/8360
[SPARK-9317] [SPARKR] Change `show` to print DataFrame entries
Small update to DataFrame API in SparkR
@shivaram
You can merge this pull request into a Git repository by running
GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/8394
[SPARK-9316] [SPARKR] Add support for filtering using `[` (synonym for
filter / select)
Add support for
```
df[df$name == Smith, c(1,2)]
df[df$age %in% c(19, 30), 1:2
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/7742#discussion_r35783192
--- Diff: core/src/main/scala/org/apache/spark/api/r/RBackendHandler.scala
---
@@ -69,8 +69,11 @@ private[r] class RBackendHandler(server: RBackend
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/7742#discussion_r35783283
--- Diff: core/src/main/scala/org/apache/spark/api/r/RBackendHandler.scala
---
@@ -148,6 +151,9 @@ private[r] class RBackendHandler(server: RBackend
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/7742#issuecomment-126209438
looks good! thanks
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Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/7742#discussion_r35901689
--- Diff: core/src/main/scala/org/apache/spark/api/r/RBackendHandler.scala
---
@@ -148,6 +151,9 @@ private[r] class RBackendHandler(server: RBackend
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9179#issuecomment-150311495
+1 on `spark.r.driver.command` and `spark.r.command`
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Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9185#issuecomment-150318041
I vote for simplicity for SparkR and not have multiple session.
In fact I observe it is already messy to handle DataFrame created by a
different SparkContext
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9218#discussion_r42899259
--- Diff: R/pkg/R/DataFrame.R ---
@@ -276,6 +276,57 @@ setMethod("names<-",
}
})
+#' @r
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9192#discussion_r42716848
--- Diff: R/pkg/R/SQLContext.R ---
@@ -17,6 +17,34 @@
# SQLcontext.R: SQLContext-driven functions
+#' Temporary function to reroute
GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/9218
[SPARK-9319][SPARKR] Add support for setting column names, types
Add support for for colnames, colnames<-, coltypes<-
I will merge with PR 8984 (coltypes) once it is in, po
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9218#discussion_r42786136
--- Diff: R/pkg/R/DataFrame.R ---
@@ -276,6 +276,57 @@ setMethod("names<-",
}
})
+#' @r
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9218#issuecomment-150311963
@sun-rui `names` and `names<-` are already there, this is to add `colnames`.
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Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9192#discussion_r42664614
--- Diff: R/pkg/R/SQLContext.R ---
@@ -17,6 +17,34 @@
# SQLcontext.R: SQLContext-driven functions
+#' Temporary function to reroute
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9192#discussion_r42662379
--- Diff: R/pkg/R/SQLContext.R ---
@@ -17,6 +17,34 @@
# SQLcontext.R: SQLContext-driven functions
+#' Temporary function to reroute
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9192#discussion_r42659643
--- Diff: R/pkg/R/SQLContext.R ---
@@ -17,6 +17,34 @@
# SQLcontext.R: SQLContext-driven functions
+#' Temporary function to reroute
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9192#discussion_r42659746
--- Diff: R/pkg/R/SQLContext.R ---
@@ -17,6 +17,34 @@
# SQLcontext.R: SQLContext-driven functions
+#' Temporary function to reroute
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9218#discussion_r42801664
--- Diff: R/pkg/R/DataFrame.R ---
@@ -276,6 +276,57 @@ setMethod("names<-",
}
})
+#' @r
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9222#issuecomment-150382796
Do you have benchmark numbers for this change?
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Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9234#issuecomment-150382185
Hi thanks for the contribution, you might want to check out the ongoing
work in https://github.com/apache/spark/pull/9099
and SPARK-11086
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GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/9290
[SPARK-11340][SPARKR] Support setting driver properties when starting Spark
from R programmatically or from RStudio
Mapping spark.driver.memory from sparkEnvir to spark-submit commandline
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9290#issuecomment-151377437
Manual testing with:
```
library(SparkR, lib.loc='/opt/spark-1.6.0-bin-hadoop2.6/R/lib')
sc <- sparkR.init(master = "local[*]", spark
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9196#issuecomment-151381136
looks good!
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Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9290#issuecomment-151378899
I checked, the user could also set SPARK_DRIVER_MEMORY before running
`sparkR.init()`
https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9218#issuecomment-151379530
@sun-rui That's a great point, `coltypes()` as its signature is defined,
would only return a list of simple types.
But how would one create a DataFrame
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9290#discussion_r43430720
--- Diff: R/pkg/R/sparkR.R ---
@@ -93,7 +93,7 @@ sparkR.stop <- function() {
#' sc <- sparkR.init("local[2]", "
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/6557#issuecomment-152292218
This is updated by #9179
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GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/9363
[SPARK-11409][SPARKR] Enable url link in R doc for Persist
Quick one line doc fix
link is not clickable
could probably handle complex type (JVM -> R) by mapping "map<string,int>&quo
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9296#discussion_r43195310
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/evaluation/RegressionEvaluator.scala
---
@@ -72,10 +73,13 @@ final class RegressionEvaluator @Since
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/8984#issuecomment-151654117
The error looks different, possibly related but not exactly same cause
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Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9183#discussion_r43221520
--- Diff: R/pkg/inst/tests/test_mllib.R ---
@@ -56,14 +56,3 @@ test_that("feature interaction vs native glm", {
rVals <- predict(gl
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/8984#issuecomment-152069034
I'm concerned with the lack of "reversibility" as in `coltypes(x) <-
coltypes(x)`
Could I propose expanding on your suggestion to return `na` f
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9343#discussion_r43342070
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/namedExpressions.scala
---
@@ -146,7 +146,11 @@ case class Alias(child
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9290#discussion_r43346365
--- Diff: R/pkg/R/sparkR.R ---
@@ -93,7 +93,7 @@ sparkR.stop <- function() {
#' sc <- sparkR.init("local[2]", "
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9196#issuecomment-150021663
This is merging 2 PR/JIRA?
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Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9252#issuecomment-150700335
Shouldn't this be fixed/casted in the `RegressionEvaluator` instead?
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Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9463#issuecomment-155598069
@shivaram ?
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Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9489#discussion_r44482198
--- Diff: R/pkg/R/functions.R ---
@@ -974,6 +1006,54 @@ setMethod("soundex",
column(jc)
})
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9489#discussion_r44482223
--- Diff: R/pkg/R/functions.R ---
@@ -1168,6 +1248,54 @@ setMethod("upper",
column(jc)
})
+#
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9536#issuecomment-155597890
@davis?
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Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9579#issuecomment-155258819
doc comment, looks good to me otherwise.
@sun-rui @shivaram
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Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9579#discussion_r44361878
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2152,3 +2152,47 @@ setMethod("with",
newEnv <- assignNewEnv(data)
ev
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9549#issuecomment-154880937
@shivaram @adrian555
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GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/9549
Flaky SparkR test: test_sparkSQL.R: sample on a DataFrame
Make sample test less flaky by setting the seed
Tested with
```
repeat { if (count(sample(df, FALSE, 0.1)) == 3
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9380#issuecomment-155970380
These SparkR support has just been added so this change breaks tests
```
1. Failure (at test_sparkSQL.R#1010): group by, agg functions
Github user felixcheung closed the pull request at:
https://github.com/apache/spark/pull/9218
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GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/9654
[SPARK-9319][SPARKR] Add support for setting column names, types
Add support for for colnames, colnames<-, coltypes<-
Also added tests for names, names<- which have no test p
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9390#issuecomment-156024874
I don't fully understand the issue, but why we have to use `.libPaths` and
not `library(... lib.loc= )`?
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Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9380#issuecomment-156024999
@JihongMA yap that should fix them
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Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9613#discussion_r44734240
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2200,4 +2200,107 @@ setMethod("coltypes",
rTypes[naIndices] <- ty
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9613#discussion_r44734873
--- Diff: R/pkg/inst/tests/test_sparkSQL.R ---
@@ -1525,6 +1525,22 @@ test_that("Method coltypes() to get R's data types
of a Data
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9613#discussion_r44734936
--- Diff: R/pkg/R/generics.R ---
@@ -1050,4 +1049,7 @@ setGeneric("with")
#' @rdname coltypes
#' @export
-setGeneric
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9613#discussion_r44735202
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2200,4 +2200,107 @@ setMethod("coltypes",
rTypes[naIndices] <- ty
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9463#issuecomment-156289622
thanks for catching that, I did some test I suspect they are caused by
generics.R, so removing those.
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GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/9680
[SPARK-11715][SPARKR] Add R support corr for Column Aggregration
Need to match existing method signature
You can merge this pull request into a Git repository by running:
$ git pull https
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9613#discussion_r44734132
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2200,4 +2200,107 @@ setMethod("coltypes",
rTypes[naIndices] <- ty
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9613#discussion_r44734047
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2200,4 +2200,107 @@ setMethod("coltypes",
rTypes[naIndices] <- ty
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9680#issuecomment-156331258
I think 9366 is about computing corr or cov matrix whereas this is
computing corr between two columns. They seem to be useful in their own ways.
Also
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9680#issuecomment-156484659
So #9366 is for all columns in DataFrame x=y or different x, y DataFrames
And this #9680 is for 2 columns in one DataFrame.
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Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9613#discussion_r44867038
--- Diff: R/pkg/R/generics.R ---
@@ -971,6 +986,9 @@ setGeneric("size", function(x) {
standardGeneric("size") })
#' @export
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9613#discussion_r44867045
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2200,4 +2200,101 @@ setMethod("coltypes",
rTypes[naIndices] <- ty
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9613#discussion_r44867068
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2200,4 +2200,101 @@ setMethod("coltypes",
rTypes[naIndices] <- ty
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9613#discussion_r44867029
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2200,4 +2200,101 @@ setMethod("coltypes",
rTypes[naIndices] <- ty
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9613#discussion_r44867049
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2200,4 +2200,101 @@ setMethod("coltypes",
rTypes[naIndices] <- ty
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9613#discussion_r44867056
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2200,4 +2200,101 @@ setMethod("coltypes",
rTypes[naIndices] <- ty
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9613#discussion_r44867054
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2200,4 +2200,101 @@ setMethod("coltypes",
rTypes[naIndices] <- ty
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9727#issuecomment-157179595
looks good @shivaram
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Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9680#discussion_r44974143
--- Diff: R/pkg/R/functions.R ---
@@ -259,6 +259,20 @@ setMethod("column",
function(x) {
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9680#discussion_r44973809
--- Diff: R/pkg/R/functions.R ---
@@ -259,6 +259,20 @@ setMethod("column",
function(x) {
GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/9750
[SPARK-11756][SPARKR] Fix use of aliases - SparkR can not output help
information for SparkR:::summary correctly
Fix use of aliases and changes uses of @rdname and @seealso
`@aliases
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9680#discussion_r45019825
--- Diff: R/pkg/R/functions.R ---
@@ -259,6 +259,20 @@ setMethod("column",
function(x) {
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9680#issuecomment-157268953
@sun-rui I updated it. I think it's a bit not as strongly typed as I'd like
but if I add `col2 = "Column"` to signature I get this error:
```
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9489#issuecomment-155244366
@mengxr possibly.. though there are usage difference with SparkR
DataFrame/Column as compared to R data.frame (eg. `agg` vs
[`aggregate`](https://stat.ethz.ch/R
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9579#discussion_r44359782
--- Diff: R/pkg/R/schema.R ---
@@ -115,20 +115,7 @@ structField.jobj <- function(x) {
}
checkType <- function(type) {
- primtiv
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9394#issuecomment-153241163
it should be `@seealso \link{createDataFrame}`
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Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9218#discussion_r43718136
--- Diff: R/pkg/R/DataFrame.R ---
@@ -276,6 +276,75 @@ setMethod("names<-",
}
})
+#' @r
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9218#discussion_r43718270
--- Diff: R/pkg/R/DataFrame.R ---
@@ -276,6 +276,75 @@ setMethod("names<-",
}
})
+#' @r
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9401#issuecomment-152870335
And generally people blog about using `.libPath` but this could cause all
packages to be installed to SparkR location as it becomes the default
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9394#issuecomment-152870465
why don't we point to http://spark.apache.org/docs/latest/sparkr.html for
now instead?
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GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/9401
[SPARK-11407][SPARKR] Add doc for running from RStudio
(This is without css
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9218#issuecomment-152862908
```
Error :
/home/jenkins/workspace/SparkPullRequestBuilder/R/pkg/man/colnames.Rd: Sections
\title, and \name must exist and be unique in Rd files
ERROR
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/8984#issuecomment-153870143
I'm a bit confused - I thought `map` `array` `struct` should return NA?
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Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9443#discussion_r43940871
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2045,3 +2045,34 @@ setMethod("attach",
}
attach(newEnv, pos = pos, n
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/8984#issuecomment-153904230
looks good. thanks
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Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/8984#discussion_r43976192
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1914,3 +1914,46 @@ setMethod("attach",
}
attach(newEnv, pos = pos, n
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9099#issuecomment-153938620
@zero323 you could add the test code to SPARK-11283 so that they could be
added back then.
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Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9463#issuecomment-153942273
@yu-iskw btw, these are two other false positives that you might want to
follow up with lintr:
```
R/pkg/inst/tests/test_sparkSQL.R:907:53: style
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/9463#issuecomment-153938433
Done. they won't do anything because of `@noRd`
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GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/9489
[SPARK-11468][SPARKR] add stddev/variance agg functions for Column
Checked names, none of them should conflict with anything in base
@shivaram @davies @rxin
You can merge this pull
GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/9536
[SPARK-11567][PYTHON] Add Python API for corr in group
like `df.agg(corr("col1", "col2")`
@davies
You can merge this pull request into a Git repository by runn
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/8984#discussion_r43797767
--- Diff: R/pkg/R/types.R ---
@@ -0,0 +1,41 @@
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license
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