Linking custom receiver guide

1 files changed, 3 insertions, 0 deletions

diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md
index 8cd1b0cd66..a74c17bdb7 100644
--- a/docs/streaming-programming-guide.md
+++ b/docs/streaming-programming-guide.md
@@ -301,6 +301,9 @@ dstream.checkpoint(checkpointInterval) // checkpointInterval must be a multiple
 For DStreams that must be checkpointed (that is, DStreams created by `updateStateByKey` and `reduceByKeyAndWindow` with inverse function), the checkpoint interval of the DStream is by default set to a multiple of the DStream's sliding interval such that its at least 10 seconds.
 
 
+## Customizing Receiver
+Spark comes with a built in support for most common usage scenarios where input stream source can be either a network socket stream to support for a few message queues. Apart from that it is also possible to supply your own custom receiver via a convenient API. Find more details at [Custom Receiver Guide](streaming-custom-receivers.html)
+
 # Performance Tuning
 Getting the best performance of a Spark Streaming application on a cluster requires a bit of tuning. This section explains a number of the parameters and configurations that can tuned to improve the performance of you application. At a high level, you need to consider two things:
 <ol>