## What changes were proposed in this pull request?
Fix warnings and a failure in SparkR test cases with testthat version 1.0.1
## How was this patch tested?
SparkR unit test cases.
Author: Sun Rui <sunrui2016@gmail.com>
Closes#12867 from sun-rui/SPARK-15091.
## What changes were proposed in this pull request?
This PR adds a new function in SparkR called `sparkLapply(list, function)`. This function implements a distributed version of `lapply` using Spark as a backend.
TODO:
- [x] check documentation
- [ ] check tests
Trivial example in SparkR:
```R
sparkLapply(1:5, function(x) { 2 * x })
```
Output:
```
[[1]]
[1] 2
[[2]]
[1] 4
[[3]]
[1] 6
[[4]]
[1] 8
[[5]]
[1] 10
```
Here is a slightly more complex example to perform distributed training of multiple models. Under the hood, Spark broadcasts the dataset.
```R
library("MASS")
data(menarche)
families <- c("gaussian", "poisson")
train <- function(family){glm(Menarche ~ Age , family=family, data=menarche)}
results <- sparkLapply(families, train)
```
## How was this patch tested?
This PR was tested in SparkR. I am unfamiliar with R and SparkR, so any feedback on style, testing, etc. will be much appreciated.
cc falaki davies
Author: Timothy Hunter <timhunter@databricks.com>
Closes#12426 from thunterdb/7264.
## What changes were proposed in this pull request?
This PR aims to add `setLogLevel` function to SparkR shell.
**Spark Shell**
```scala
scala> sc.setLogLevel("ERROR")
```
**PySpark**
```python
>>> sc.setLogLevel("ERROR")
```
**SparkR (this PR)**
```r
> setLogLevel(sc, "ERROR")
NULL
```
## How was this patch tested?
Pass the Jenkins tests including a new R testcase.
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes#12547 from dongjoon-hyun/SPARK-14780.
## What changes were proposed in this pull request?
Change the signature of as.data.frame() to be consistent with that in the R base package to meet R user's convention.
## How was this patch tested?
dev/lint-r
SparkR unit tests
Author: Sun Rui <rui.sun@intel.com>
Closes#11811 from sun-rui/SPARK-13905.
## What changes were proposed in this pull request?
The `window` function was added to Dataset with [this PR](https://github.com/apache/spark/pull/12008).
This PR adds the R API for this function.
With this PR, SQL, Java, and Scala will share the same APIs as in users can use:
- `window(timeColumn, windowDuration)`
- `window(timeColumn, windowDuration, slideDuration)`
- `window(timeColumn, windowDuration, slideDuration, startTime)`
In Python and R, users can access all APIs above, but in addition they can do
- In R:
`window(timeColumn, windowDuration, startTime=...)`
that is, they can provide the startTime without providing the `slideDuration`. In this case, we will generate tumbling windows.
## How was this patch tested?
Unit tests + manual tests
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#12141 from brkyvz/R-windows.
shivaram sorry it took longer to fix some conflicts, this is the change to add an alias for `table`
Author: felixcheung <felixcheung_m@hotmail.com>
Closes#10406 from felixcheung/readtable.
Currently this is reported when loading the SparkR package in R (probably would add is.nan)
```
Loading required package: methods
Attaching package: ‘SparkR’
The following objects are masked from ‘package:stats’:
cov, filter, lag, na.omit, predict, sd, var
The following objects are masked from ‘package:base’:
colnames, colnames<-, intersect, rank, rbind, sample, subset,
summary, table, transform
```
Adding this test adds an automated way to track changes to masked method.
Also, the second part of this test check for those functions that would not be accessible without namespace/package prefix.
Incidentally, this might point to how we would fix those inaccessible functions in base or stats.
Looking for feedback for adding this test.
Author: felixcheung <felixcheung_m@hotmail.com>
Closes#10171 from felixcheung/rmaskedtest.
This PR:
1. Suppress all known warnings.
2. Cleanup test cases and fix some errors in test cases.
3. Fix errors in HiveContext related test cases. These test cases are actually not run previously due to a bug of creating TestHiveContext.
4. Support 'testthat' package version 0.11.0 which prefers that test cases be under 'tests/testthat'
5. Make sure the default Hadoop file system is local when running test cases.
6. Turn on warnings into errors.
Author: Sun Rui <rui.sun@intel.com>
Closes#10030 from sun-rui/SPARK-12034.
2015-12-07 10:38:17 -08:00
Renamed from R/pkg/inst/tests/test_context.R (Browse further)
