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From guozh...@apache.org
Subject kafka git commit: MINOR: added spacing in streams doc in section 9.2
Date Wed, 01 Jun 2016 15:14:40 GMT
Repository: kafka
Updated Branches:
  refs/heads/trunk fed3f1f88 -> fec24d19c


MINOR: added spacing in streams doc in section 9.2

Author: Kaufman Ng <kaufman@confluent.io>

Reviewers: Guozhang Wang

Closes #1454 from coughman/trunk


Project: http://git-wip-us.apache.org/repos/asf/kafka/repo
Commit: http://git-wip-us.apache.org/repos/asf/kafka/commit/fec24d19
Tree: http://git-wip-us.apache.org/repos/asf/kafka/tree/fec24d19
Diff: http://git-wip-us.apache.org/repos/asf/kafka/diff/fec24d19

Branch: refs/heads/trunk
Commit: fec24d19cc66e4d18cf87f0ff597eecfe5a7e000
Parents: fed3f1f
Author: Kaufman Ng <kaufman@confluent.io>
Authored: Wed Jun 1 08:14:36 2016 -0700
Committer: Guozhang Wang <wangguoz@gmail.com>
Committed: Wed Jun 1 08:14:36 2016 -0700

----------------------------------------------------------------------
 docs/streams.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/kafka/blob/fec24d19/docs/streams.html
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diff --git a/docs/streams.html b/docs/streams.html
index 91fda36..4a3f7aa 100644
--- a/docs/streams.html
+++ b/docs/streams.html
@@ -50,7 +50,7 @@ We first summarize the key concepts of Kafka Streams.
 <h5><a id="streams_topology" href="#streams_topology">Stream Processing Topology</a></h5>
 
 <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</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 stream processing application written in Kafka Streams 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>stream processor</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 producing one or more output records to its downstream processors.</li>
 </ul>


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