Additional File source options for spark 2.2 appeared under File sink

Author: assafmendelson

docs/structured-streaming-programming-guide.md

@@ -515,6 +515,14 @@ Here are the details of all the sources in Spark.
         <br/>
         <code>latestFirst</code>: whether to processs the latest new files first, useful when there is a large backlog of files (default: false)
         <br/>
+        <code>fileNameOnly</code>: whether to check new files based on only the filename instead of on the full path (default: false). With this set to `true`, the following files would be considered as the same file, because their filenames, "dataset.txt", are the same:
+        <br/>
+        · "file:///dataset.txt"<br/>
+        · "s3://a/dataset.txt"<br/>
+        · "s3n://a/b/dataset.txt"<br/>
+        · "s3a://a/b/c/dataset.txt"<br/>
+        <br/>
+
         <br/>
         For file-format-specific options, see the related methods in <code>DataStreamReader</code>
         (<a href="api/scala/index.html#org.apache.spark.sql.streaming.DataStreamReader">Scala</a>/<a href="api/java/org/apache/spark/sql/streaming/DataStreamReader.html">Java</a>/<a href="api/python/pyspark.sql.html#pyspark.sql.streaming.DataStreamReader">Python</a>/<a
@@ -1239,14 +1247,7 @@ Here are the details of all the sinks in Spark.
     <td>Append</td>
     <td>
         <code>path</code>: path to the output directory, must be specified.
-        <br/>
-        <code>fileNameOnly</code>: whether to check new files based on only the filename instead of on the full path (default: false). With this set to `true`, the following files would be considered as the same file, because their filenames, "dataset.txt", are the same:
-        <br/>
-        · "file:///dataset.txt"<br/>
-        · "s3://a/dataset.txt"<br/>
-        · "s3n://a/b/dataset.txt"<br/>
-        · "s3a://a/b/c/dataset.txt"<br/>
-        <br/>
+        <br/><br/>
         For file-format-specific options, see the related methods in DataFrameWriter
         (<a href="api/scala/index.html#org.apache.spark.sql.DataFrameWriter">Scala</a>/<a href="api/java/org/apache/spark/sql/DataFrameWriter.html">Java</a>/<a href="api/python/pyspark.sql.html#pyspark.sql.DataFrameWriter">Python</a>/<a
         href="api/R/write.stream.html">R</a>).