Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/11457#discussion_r54726090
--- Diff: R/pkg/inst/tests/testthat/test_context.R ---
@@ -26,7 +26,7 @@ test_that("Check masked functions", {
maskedBySparkR <- masked[funcSparkROrEmpty]
namesOfMasked <- c("describe", "cov", "filter", "lag", "na.omit",
"predict", "sd", "var",
"colnames", "colnames<-", "intersect", "rank",
"rbind", "sample", "subset",
- "summary", "transform", "drop")
+ "summary", "transform", "drop", "read.csv",
"write.csv")
--- End diff --
There are existing read.csv()/csv2() and write.csv()/csv2() in the R base
package. It would be great that we can implement these functions in SparkR with
the same signature in the R base package. Thus users can use these function in
both SparkR and base package. It seems that the supported option in the
signatures of these functions in the R base package are also supported in
spark-csv.
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