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The following commit(s) were added to refs/heads/trunk by this push:
     new b6f0420  Kafka-6792: Fix wrong pointer in the link for stream dsl 
(#4876)
b6f0420 is described below

commit b6f04203501bddd355b5663861b559b4bbc90d8f
Author: ro7m <robin.mun...@gmail.com>
AuthorDate: Mon Apr 16 23:19:41 2018 +0530

    Kafka-6792: Fix wrong pointer in the link for stream dsl (#4876)
    
    Reviewers: Guozhang Wang <wangg...@gmail.com>
---
 docs/streams/core-concepts.html | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/streams/core-concepts.html b/docs/streams/core-concepts.html
index 1650287..3f9eab5 100644
--- a/docs/streams/core-concepts.html
+++ b/docs/streams/core-concepts.html
@@ -63,7 +63,7 @@
     <ul>
         <li>A <b>stream</b> is the most important abstraction provided by 
Kafka Streams: it represents an unbounded, continuously updating data set. A 
stream is an ordered, replayable, and fault-tolerant sequence of immutable data 
records, where a <b>data record</b> is defined as a key-value pair.</li>
         <li>A <b>stream processing application</b> is any program that makes 
use of the Kafka Streams library. It defines its computational logic through 
one or more <b>processor topologies</b>, where a processor topology is a graph 
of stream processors (nodes) that are connected by streams (edges).</li>
-        <li>A <b><a href="#streams_processor_node">stream processor</a></b> is 
a node in the processor topology; it represents a processing step to transform 
data in streams by receiving one input record at a time from its upstream 
processors in the topology, applying its operation to it, and may subsequently 
produce one or more output records to its downstream processors. </li>
+        <li>A <b><a id="streams_processor_node" 
href="#streams_processor_node">stream processor</a></b> is a node in the 
processor topology; it represents a processing step to transform data in 
streams by receiving one input record at a time from its upstream processors in 
the topology, applying its operation to it, and may subsequently produce one or 
more output records to its downstream processors. </li>
     </ul>
 
     There are two special processors in the topology:
@@ -78,14 +78,14 @@
     <img class="centered" 
src="/{{version}}/images/streams-architecture-topology.jpg" style="width:400px">
 
     <p>
-        Kafka Streams offers two ways to define the stream processing 
topology: the <a 
href="/{{version}}/documentation/streams/developer-guide#streams_dsl"><b>Kafka 
Streams DSL</b></a> provides
-        the most common data transformation operations such as 
<code>map</code>, <code>filter</code>, <code>join</code> and 
<code>aggregations</code> out of the box; the lower-level <a 
href="/{{version}}/documentation/streams/developer-guide#streams_processor"><b>Processor
 API</b></a> allows
+        Kafka Streams offers two ways to define the stream processing 
topology: the <a 
href="/{{version}}/documentation/streams/developer-guide/dsl-api.html"><b>Kafka 
Streams DSL</b></a> provides
+        the most common data transformation operations such as 
<code>map</code>, <code>filter</code>, <code>join</code> and 
<code>aggregations</code> out of the box; the lower-level <a 
href="/{{version}}/documentation/streams/developer-guide/processor-api.html"><b>Processor
 API</b></a> allows
         developers define and connect custom processors as well as to interact 
with <a href="#streams_state">state stores</a>.
     </p>
 
     <p>
         A processor topology is merely a logical abstraction for your stream 
processing code.
-        At runtime, the logical topology is instantiated and replicated inside 
the application for parallel processing (see <a 
href="#streams_architecture_tasks"><b>Stream Partitions and Tasks</b></a> for 
details).
+        At runtime, the logical topology is instantiated and replicated inside 
the application for parallel processing (see <a 
href="/{{version}}/documentation/streams/architecture#streams_architecture_tasks"><b>Stream
 Partitions and Tasks</b></a> for details).
     </p>
 
     <h3><a id="streams_time" href="#streams_time">Time</a></h3>

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