HyukjinKwon commented on a change in pull request #32658: URL: https://github.com/apache/spark/pull/32658#discussion_r640509062
########## File path: docs/sql-data-sources-csv.md ########## @@ -38,3 +36,223 @@ Spark SQL provides `spark.read().csv("file_name")` to read a file or directory o </div> </div> + +## Data Source Option + +Data source options of CSV can be set via: +* the `.option`/`.options` methods of + * `DataFrameReader` + * `DataFrameWriter` + * `DataStreamReader` + * `DataStreamWriter` +* the built-in functions below + * `from_csv` + * `to_csv` + * `schema_of_csv` +* `OPTIONS` clause at [CREATE TABLE USING DATA_SOURCE](sql-ref-syntax-ddl-create-table-datasource.html) + + +<table class="table"> + <tr><th><b>Property Name</b></th><th><b>Default</b></th><th><b>Meaning</b></th><th><b>Scope</b></th></tr> + <tr> + <td><code>sep</code></td> + <td>,</td> + <td>Sets a separator (one or more characters) for each field and value.</td> + <td>read/write</td> + </tr> + <tr> + <td><code>encoding</code></td> + <td><code>UTF-8</code> for reading, not set for writing</td> + <td>For reading, decodes the CSV files by the given encoding type.</td> + <td>read/write</td> + </tr> + <tr> + <td><code>quote</code></td> + <td>"</td> + <td>Sets a single character used for escaping quoted values where the separator can be part of the value. If you would like to turn off quotations, you need to set an empty string. If an empty string is set, it uses <code>u0000</code> (null character).</td> Review comment: > If an empty string is set, it uses <code>u0000</code> This is only for writing. For reading, it disables the quotation handling. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org