Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/12817#discussion_r61678681
--- 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
--- End diff --
Aliases were added for `codec`, `charset` and `delimiter` as `compression`,
`charset` and `sep`.
I remember It was decided that`codec` is not documented but supported for
backword compatibility because it looks not a good name.
As I thought both `sep` and `delimiter` or `encoding` or `charset` are good
names, I just added but I am happy to get rid of them if any thinks not.
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