HyukjinKwon commented on a change in pull request #32797:
URL: https://github.com/apache/spark/pull/32797#discussion_r646294136
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File path: R/pkg/R/SQLContext.R
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@@ -378,6 +378,9 @@ setMethod("toDF", signature(x = "RDD"),
#' ) is supported. For JSON (one record per file), set a named property
\code{multiLine} to
#' \code{TRUE}.
#' It goes through the entire dataset once to determine the schema.
+#' You can find the JSON-specific options for reading 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:
can you move this to `@param ...`
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File path: R/pkg/R/SQLContext.R
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@@ -406,6 +409,9 @@ read.json <- function(path, ...) {
#' Create a SparkDataFrame from an ORC file.
#'
#' Loads an ORC file, returning the result as a SparkDataFrame.
+#' You can find the ORC-specific options for reading ORC files in
Review comment:
ditto
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File path: R/pkg/R/SQLContext.R
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@@ -427,6 +433,9 @@ read.orc <- function(path, ...) {
#' Create a SparkDataFrame from a Parquet file.
#'
#' Loads a Parquet file, returning the result as a SparkDataFrame.
+#' You can find the Parquet-specific options for reading 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:
ditto
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File path: R/pkg/R/SQLContext.R
##########
@@ -450,6 +459,9 @@ read.parquet <- function(path, ...) {
#' Loads text files and returns a SparkDataFrame whose schema starts with
#' a string column named "value", and followed by partitioned columns if
#' there are any. The text files must be encoded as UTF-8.
+#' You can find the text-specific options for reading text files in
Review comment:
ditto
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