spark-instrumented-optimizer/R/pkg/tests/run-all.R
Felix Cheung 36b48ee6e9 [SPARK-21801][SPARKR][TEST] set random seed for predictable test
## What changes were proposed in this pull request?

set.seed() before running tests

## How was this patch tested?

jenkins, appveyor

Author: Felix Cheung <felixcheung_m@hotmail.com>

Closes #19111 from felixcheung/rranseed.
2017-09-06 09:53:55 -07:00

54 lines
1.9 KiB
R

#
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library(testthat)
library(SparkR)
# Turn all warnings into errors
options("warn" = 2)
if (.Platform$OS.type == "windows") {
Sys.setenv(TZ = "GMT")
}
# Setup global test environment
# Install Spark first to set SPARK_HOME
install.spark()
sparkRDir <- file.path(Sys.getenv("SPARK_HOME"), "R")
sparkRWhitelistSQLDirs <- c("spark-warehouse", "metastore_db")
invisible(lapply(sparkRWhitelistSQLDirs,
function(x) { unlink(file.path(sparkRDir, x), recursive = TRUE, force = TRUE)}))
sparkRFilesBefore <- list.files(path = sparkRDir, all.files = TRUE)
sparkRTestMaster <- "local[1]"
if (identical(Sys.getenv("NOT_CRAN"), "true")) {
sparkRTestMaster <- ""
}
test_package("SparkR")
if (identical(Sys.getenv("NOT_CRAN"), "true")) {
# set random seed for predictable results. mostly for base's sample() in tree and classification
set.seed(42)
# for testthat 1.0.2 later, change reporter from "summary" to default_reporter()
testthat:::run_tests("SparkR",
file.path(sparkRDir, "pkg", "tests", "fulltests"),
NULL,
"summary")
}