Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/12817#discussion_r61679234
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala ---
@@ -393,6 +393,45 @@ class DataFrameReader private[sql](sparkSession:
SparkSession) extends Logging {
* This function goes through the input once to determine the input
schema. To avoid going
* through the entire data once, specify the schema explicitly using
[[schema]].
*
+ * You can set the following CSV-specific options to deal with CSV files:
+ * <li>`sep` or `delimiter` (default `,`): sets the single character as
a delimiter for each
+ * field and value.</li>
+ * <li>`encoding` or `charset` (default `UTF-8`): decodes the CSV files
by the given encoding
+ * type.</li>
+ * <li>`quote` (default `"`): sets the single character used for
escaping quoted values where
+ * the delimiter can be part of the value.</li>
+ * <li>`escape` (default `\`): sets the single character used for
escaping quotes inside
+ * an already quoted value.</li>
+ * <li>`comment` (default empty string): sets the single character used
for skipping lines beginning
--- End diff --
I am less sure of `empty string` is okay.
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