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[SPARK-12158] [SparkR] [SQL] Fix 'sample' functions that break R unit test cases #10160

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[SPARK-12158] [SparkR] [SQL] Fix 'sample' functions that break R unit test cases #10160

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ec77010
add sample functions with seeds
gatorsmile Dec 5, 2015
2ab89e8
combine two variants
gatorsmile Dec 6, 2015
34d0118
added a test case
gatorsmile Dec 7, 2015
4337c35
simplified the impl of sample_frac
gatorsmile Dec 7, 2015
a78109e
simplified the impl of sample_frac.
gatorsmile Dec 7, 2015
ad3ea31
Merge remote-tracking branch 'upstream/master' into sampleR
gatorsmile Dec 7, 2015
493b368
added a new parm into the comment
gatorsmile Dec 7, 2015
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17 changes: 11 additions & 6 deletions R/pkg/R/DataFrame.R
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Original file line number Diff line number Diff line change
Expand Up @@ -662,6 +662,7 @@ setMethod("unique",
#' @param x A SparkSQL DataFrame
#' @param withReplacement Sampling with replacement or not
#' @param fraction The (rough) sample target fraction
#' @param seed Randomness seed value
#'
#' @family DataFrame functions
#' @rdname sample
Expand All @@ -677,13 +678,17 @@ setMethod("unique",
#' collect(sample(df, TRUE, 0.5))
#'}
setMethod("sample",
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don't delete this comment. move it close to as.integer(seed). This is a known limitation of serde now.

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True. Added it back.

# TODO : Figure out how to send integer as java.lang.Long to JVM so
# we can send seed as an argument through callJMethod
signature(x = "DataFrame", withReplacement = "logical",
fraction = "numeric"),
function(x, withReplacement, fraction) {
function(x, withReplacement, fraction, seed) {
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@felixcheung Shouldn't we document this param in the roxygen doc above ? Otherwise how would anybody know we support a seed ?

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yes we should add a @param seed above, thanks for catching it

if (fraction < 0.0) stop(cat("Negative fraction value:", fraction))
sdf <- callJMethod(x@sdf, "sample", withReplacement, fraction)
if (!missing(seed)) {
# TODO : Figure out how to send integer as java.lang.Long to JVM so
# we can send seed as an argument through callJMethod
sdf <- callJMethod(x@sdf, "sample", withReplacement, fraction, as.integer(seed))
} else {
sdf <- callJMethod(x@sdf, "sample", withReplacement, fraction)
}
dataFrame(sdf)
})

Expand All @@ -692,8 +697,8 @@ setMethod("sample",
setMethod("sample_frac",
signature(x = "DataFrame", withReplacement = "logical",
fraction = "numeric"),
function(x, withReplacement, fraction) {
sample(x, withReplacement, fraction)
function(x, withReplacement, fraction, seed) {
sample(x, withReplacement, fraction, seed)
})

#' nrow
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4 changes: 4 additions & 0 deletions R/pkg/inst/tests/testthat/test_sparkSQL.R
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Expand Up @@ -712,6 +712,10 @@ test_that("sample on a DataFrame", {
sampled2 <- sample(df, FALSE, 0.1, 0) # set seed for predictable result
expect_true(count(sampled2) < 3)

count1 <- count(sample(df, FALSE, 0.1, 0))
count2 <- count(sample(df, FALSE, 0.1, 0))
expect_equal(count1, count2)

# Also test sample_frac
sampled3 <- sample_frac(df, FALSE, 0.1, 0) # set seed for predictable result
expect_true(count(sampled3) < 3)
Expand Down