spark-instrumented-optimizer/R/pkg/inst/tests/test_Serde.R
Sun Rui 71a138cd0e [SPARK-10048] [SPARKR] Support arbitrary nested Java array in serde.
This PR:
1. supports transferring arbitrary nested array from JVM to R side in SerDe;
2. based on 1, collect() implemenation is improved. Now it can support collecting data of complex types
   from a DataFrame.

Author: Sun Rui <rui.sun@intel.com>

Closes #8276 from sun-rui/SPARK-10048.
2015-08-25 13:14:10 -07:00

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2.3 KiB
R

#
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context("SerDe functionality")
sc <- sparkR.init()
test_that("SerDe of primitive types", {
x <- callJStatic("SparkRHandler", "echo", 1L)
expect_equal(x, 1L)
expect_equal(class(x), "integer")
x <- callJStatic("SparkRHandler", "echo", 1)
expect_equal(x, 1)
expect_equal(class(x), "numeric")
x <- callJStatic("SparkRHandler", "echo", TRUE)
expect_true(x)
expect_equal(class(x), "logical")
x <- callJStatic("SparkRHandler", "echo", "abc")
expect_equal(x, "abc")
expect_equal(class(x), "character")
})
test_that("SerDe of list of primitive types", {
x <- list(1L, 2L, 3L)
y <- callJStatic("SparkRHandler", "echo", x)
expect_equal(x, y)
expect_equal(class(y[[1]]), "integer")
x <- list(1, 2, 3)
y <- callJStatic("SparkRHandler", "echo", x)
expect_equal(x, y)
expect_equal(class(y[[1]]), "numeric")
x <- list(TRUE, FALSE)
y <- callJStatic("SparkRHandler", "echo", x)
expect_equal(x, y)
expect_equal(class(y[[1]]), "logical")
x <- list("a", "b", "c")
y <- callJStatic("SparkRHandler", "echo", x)
expect_equal(x, y)
expect_equal(class(y[[1]]), "character")
# Empty list
x <- list()
y <- callJStatic("SparkRHandler", "echo", x)
expect_equal(x, y)
})
test_that("SerDe of list of lists", {
x <- list(list(1L, 2L, 3L), list(1, 2, 3),
list(TRUE, FALSE), list("a", "b", "c"))
y <- callJStatic("SparkRHandler", "echo", x)
expect_equal(x, y)
# List of empty lists
x <- list(list(), list())
y <- callJStatic("SparkRHandler", "echo", x)
expect_equal(x, y)
})