Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/2765#discussion_r25066003
--- Diff: docs/streaming-programming-guide.md ---
@@ -641,17 +641,17 @@ methods for creating DStreams from files and Akka
actors as input sources.
<div class="codetabs">
<div data-lang="scala" markdown="1">
- streamingContext.fileStream[KeyClass, ValueClass,
InputFormatClass](dataDirectory)
+ streamingContext.fileStream[KeyClass, ValueClass,
InputFormatClass](dataDirectory, depth)
</div>
<div data-lang="java" markdown="1">
- streamingContext.fileStream<KeyClass, ValueClass,
InputFormatClass>(dataDirectory);
+ streamingContext.fileStream<KeyClass, ValueClass,
InputFormatClass>(dataDirectory, depth);
</div>
<div data-lang="python" markdown="1">
- streamingContext.textFileStream(dataDirectory)
+ streamingContext.textFileStream(dataDirectory, depth)
</div>
</div>
- Spark Streaming will monitor the directory `dataDirectory` and process
any files created in that directory (files written in nested directories not
supported). Note that
+ Spark Streaming will monitor the directory `dataDirectory`, the `depth`
is default 1 and process any files created in that directory. If supported
files written in nested directories, set the `depth` is greater than 1. Note
that
--- End diff --
I think this needs to be rewritten, perhaps like:
```
Spark Streaming will monitor the directory `dataDirectory` and process any
files created in that directory (files written in nested directories not
supported). It can also monitor files in subdirectories by setting the optional
`depth` parameter to a value greater than 1.
```
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