zero323 commented on a change in pull request #27359:
[SPARK-23435][SPARKR][TESTS] Update testthat to >= 2.0.0
URL: https://github.com/apache/spark/pull/27359#discussion_r370964207
##########
File path: R/pkg/tests/fulltests/test_sparkSQL.R
##########
@@ -848,24 +848,31 @@ test_that("collect() and take() on a DataFrame return
the same number of rows an
})
test_that("collect() support Unicode characters", {
- lines <- c("{\"name\":\"안녕하세요\"}",
- "{\"name\":\"您好\", \"age\":30}",
- "{\"name\":\"こんにちは\", \"age\":19}",
- "{\"name\":\"Xin chào\"}")
+ jsonPath <- file.path(
+ Sys.getenv("SPARK_HOME"),
+ "R", "pkg", "tests", "fulltests", "data",
+ "test_utils_utf.json"
+ )
+
+ lines <- readLines(jsonPath, encoding = "UTF-8")
- jsonPath <- tempfile(pattern = "sparkr-test", fileext = ".tmp")
- writeLines(lines, jsonPath)
+ expected <- regmatches(lines, gregexpr('(?<="name": ").*?(?=")', lines, perl
= TRUE))
df <- read.df(jsonPath, "json")
rdf <- collect(df)
expect_true(is.data.frame(rdf))
- expect_equal(rdf$name[1], markUtf8("안녕하세요"))
Review comment:
@dongjoon-hyun This fails on Windows due to encoding issues, irrespective
of testthat version. Similar to recursive call test case, failure is easy to
reproduce (Windows, English locale, CP1252 encoding) outside tests, but
somehow is ignored in testthat 1.x.
The alternative to this is to write bytes explicitly, i.e.
```r
test_that("collect() support Unicode characters", {
lines <- markUtf8(c(
'{"name": "안녕하세요"}',
'{"name": "您好", "age": 30}',
'{"name": "こんにちは", "age": 19}',
'{"name": "Xin ch\xc3\xa0o"}'
))
jsonPath <- tempfile(pattern = "sparkr-test", fileext = ".tmp")
writeLines(lines, jsonPath, useBytes = TRUE)
expected <- regmatches(lines, regexec('(?<="name": ").*?(?=")', lines,
perl = TRUE))
df <- read.df(jsonPath, "json")
rdf <- collect(df)
expect_true(is.data.frame(rdf))
rdf$name <- markUtf8(rdf$name)
expect_equal(rdf$name[1], expected[[1]])
expect_equal(rdf$name[2], expected[[2]])
expect_equal(rdf$name[3], expected[[3]])
expect_equal(rdf$name[4], expected[[4]])
df1 <- createDataFrame(rdf)
expect_equal(
collect(
where(df1, df1$name == expected[[2]])
)$name,
expected[[2]]
)
})
```
or skip test case on Windows, but as-is, this will and should fail on
AppVeyor.
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