HyukjinKwon commented on a change in pull request #32660:
URL: https://github.com/apache/spark/pull/32660#discussion_r639339008
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File path: docs/sql-data-sources-text.md
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@@ -38,3 +36,35 @@ Spark SQL provides `spark.read().text("file_name")` to read
a file or directory
</div>
</div>
+
+## Data Source Option
+
+Data source options of text can be set via:
+* the `.option`/`.options` methods of
+ * `DataFrameReader`
+ * `DataFrameWriter`
+ * `DataStreamReader`
+ * `DataStreamWriter`
+
+<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>wholetext</code></td>
+ <td>false</td>
+ <td>If true, read each file from input path(s) as a single row.</td>
+ <td>read</td>
+ </tr>
+ <tr>
+ <td><code>lineSep</code></td>
+ <td><code>\r</code>, <code>\r\n</code>, <code>\n</code> for reading,
<code>\\n</code> for writing</td>
+ <td>Defines the line separator that should be used for reading or
writing.</td>
+ <td>read/write</td>
+ </tr>
+ <tr>
+ <td><code>compression</code></td>
+ <td>null</td>
Review comment:
you can use "(none)", see also
https://spark.apache.org/docs/latest/configuration.html#runtime-sql-configuration
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