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| author | Sun Rui <sunrui2016@gmail.com> | 2016-07-14 09:38:42 -0700 |
|---|---|---|
| committer | Shivaram Venkataraman <shivaram@cs.berkeley.edu> | 2016-07-14 09:38:42 -0700 |
| commit | 093ebbc628699b40f091b5b7083c119fffa9314b (patch) | |
| tree | 9cff696fa8f7de20c67a28b9e0087ece85a634b7 /R/pkg/inst/tests/testthat/test_sparkSQL.R | |
| parent | 56183b84fb64ea13977d89ec55a9dd3997b4dacf (diff) | |
| download | spark-093ebbc628699b40f091b5b7083c119fffa9314b.tar.gz spark-093ebbc628699b40f091b5b7083c119fffa9314b.tar.bz2 spark-093ebbc628699b40f091b5b7083c119fffa9314b.zip | |
[SPARK-16509][SPARKR] Rename window.partitionBy and window.orderBy to windowPartitionBy and windowOrderBy.
## What changes were proposed in this pull request?
Rename window.partitionBy and window.orderBy to windowPartitionBy and windowOrderBy to pass CRAN package check.
## How was this patch tested?
SparkR unit tests.
Author: Sun Rui <sunrui2016@gmail.com>
Closes #14192 from sun-rui/SPARK-16509.
Diffstat (limited to 'R/pkg/inst/tests/testthat/test_sparkSQL.R')
| -rw-r--r-- | R/pkg/inst/tests/testthat/test_sparkSQL.R | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/R/pkg/inst/tests/testthat/test_sparkSQL.R b/R/pkg/inst/tests/testthat/test_sparkSQL.R index e61fa41cdd..87868230eb 100644 --- a/R/pkg/inst/tests/testthat/test_sparkSQL.R +++ b/R/pkg/inst/tests/testthat/test_sparkSQL.R @@ -2376,7 +2376,7 @@ test_that("gapply() and gapplyCollect() on a DataFrame", { test_that("Window functions on a DataFrame", { df <- createDataFrame(list(list(1L, "1"), list(2L, "2"), list(1L, "1"), list(2L, "2")), schema = c("key", "value")) - ws <- orderBy(window.partitionBy("key"), "value") + ws <- orderBy(windowPartitionBy("key"), "value") result <- collect(select(df, over(lead("key", 1), ws), over(lead("value", 1), ws))) names(result) <- c("key", "value") expected <- data.frame(key = c(1L, NA, 2L, NA), @@ -2384,17 +2384,17 @@ test_that("Window functions on a DataFrame", { stringsAsFactors = FALSE) expect_equal(result, expected) - ws <- orderBy(window.partitionBy(df$key), df$value) + ws <- orderBy(windowPartitionBy(df$key), df$value) result <- collect(select(df, over(lead("key", 1), ws), over(lead("value", 1), ws))) names(result) <- c("key", "value") expect_equal(result, expected) - ws <- partitionBy(window.orderBy("value"), "key") + ws <- partitionBy(windowOrderBy("value"), "key") result <- collect(select(df, over(lead("key", 1), ws), over(lead("value", 1), ws))) names(result) <- c("key", "value") expect_equal(result, expected) - ws <- partitionBy(window.orderBy(df$value), df$key) + ws <- partitionBy(windowOrderBy(df$value), df$key) result <- collect(select(df, over(lead("key", 1), ws), over(lead("value", 1), ws))) names(result) <- c("key", "value") expect_equal(result, expected) |