HyukjinKwon commented on a change in pull request #32658:
URL: https://github.com/apache/spark/pull/32658#discussion_r642305065
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File path: docs/sql-data-sources-csv.md
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@@ -38,3 +36,217 @@ 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 for each field and value. This separator can be one
or more characters.</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. For
writing, specifies encoding (charset) of saved CSV files</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. For reading, If you would like to turn off
quotations, you need to set not `null` but an empty string. This behaviour is
different from <code>com.databricks.spark.csv</code>. For writing, If an empty
string is set, it uses <code>u0000</code> (null character).</td>
Review comment:
"For reading, If" -> "For reading, if"
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