HyukjinKwon commented on a change in pull request #32797:
URL: https://github.com/apache/spark/pull/32797#discussion_r646267283
##########
File path: R/pkg/R/DataFrame.R
##########
@@ -883,6 +883,9 @@ setMethod("toJSON",
#' Save the contents of a SparkDataFrame as a JSON file
(\href{https://jsonlines.org/}{
#' JSON Lines text format or newline-delimited JSON}). Files written out
#' with this method can be read back in as a SparkDataFrame using read.json().
+#' You can find the JSON-specific options for writing JSON files in
+#'
\href{https://spark.apache.org/docs/latest/sql-data-sources-json.html#data-source-option}{
+#' Data Source Option} in the version you use.
Review comment:
I think this should go to `@param ... additional argument(s) passed to
the method.` below
##########
File path: R/pkg/R/DataFrame.R
##########
@@ -914,6 +917,9 @@ setMethod("write.json",
#'
#' Save the contents of a SparkDataFrame as an ORC file, preserving the
schema. Files written out
#' with this method can be read back in as a SparkDataFrame using read.orc().
+#' You can find the ORC-specific options for writing ORC files in
+#'
\href{https://spark.apache.org/docs/latest/sql-data-sources-orc.html#data-source-option}{
+#' Data Source Option} in the version you use.
Review comment:
this too
##########
File path: R/pkg/R/DataFrame.R
##########
@@ -945,6 +951,9 @@ setMethod("write.orc",
#'
#' Save the contents of a SparkDataFrame as a Parquet file, preserving the
schema. Files written out
#' with this method can be read back in as a SparkDataFrame using
read.parquet().
+#' You can find the Parquet-specific options for writing Parquet files in
+#'
\href{https://spark.apache.org/docs/latest/sql-data-sources-parquet.html#data-source-option}{
+#' Data Source Option} in the version you use.
Review comment:
this too
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