[SPARK-3899][Doc]fix wrong links in streaming doc

There are three  [Custom Receiver Guide] links in streaming doc, the first is wrong.

Author: w00228970 <wangfei1@huawei.com>
Author: wangfei <wangfei1@huawei.com>

Closes #2749 from scwf/streaming-doc and squashes the following commits:

0cd76b7 [wangfei] update link tojump to the Akka-specific section
45b0646 [w00228970] wrong link in streaming doc

(cherry picked from commit 92e017f)
Signed-off-by: Josh Rosen <joshrosen@apache.org>

docs/streaming-programming-guide.md

@@ -494,7 +494,7 @@ methods for creating DStreams from files and Akka actors as input sources.
 
 	For simple text files, there is an easier method `streamingContext.textFileStream(dataDirectory)`. And file streams do not require running a receiver, hence does not require allocating cores.
 
-- **Streams based on Custom Actors:** DStreams can be created with data streams received through Akka actors by using `streamingContext.actorStream(actorProps, actor-name)`. See the [Custom Receiver Guide](#implementing-and-using-a-custom-actor-based-receiver) for more details.
+- **Streams based on Custom Actors:** DStreams can be created with data streams received through Akka actors by using `streamingContext.actorStream(actorProps, actor-name)`. See the [Custom Receiver Guide](streaming-custom-receivers.html#implementing-and-using-a-custom-actor-based-receiver) for more details.
 
 - **Queue of RDDs as a Stream:** For testing a Spark Streaming application with test data, one can also create a DStream based on a queue of RDDs, using `streamingContext.queueStream(queueOfRDDs)`. Each RDD pushed into the queue will be treated as a batch of data in the DStream, and processed like a stream.