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From gwens...@apache.org
Subject [21/50] [abbrv] kafka git commit: MINOR: Fix small typo in design section
Date Mon, 11 Apr 2016 23:09:37 GMT
MINOR: Fix small typo in design section

Sentence was missing "as", minor grammar clean up.

Author: Paul Cavallaro <paulcavallaro@gmail.com>

Reviewers: Ewen Cheslack-Postava <ewen@confluent.io>

Closes #1151 from paulcavallaro/docs-fix


Project: http://git-wip-us.apache.org/repos/asf/kafka/repo
Commit: http://git-wip-us.apache.org/repos/asf/kafka/commit/3a20ba30
Tree: http://git-wip-us.apache.org/repos/asf/kafka/tree/3a20ba30
Diff: http://git-wip-us.apache.org/repos/asf/kafka/diff/3a20ba30

Branch: refs/heads/0.10.0
Commit: 3a20ba305517ace78ea5f54554bd3b333f0b7d3d
Parents: b94a781
Author: Paul Cavallaro <paulcavallaro@gmail.com>
Authored: Sun Apr 3 18:14:53 2016 -0700
Committer: Ewen Cheslack-Postava <me@ewencp.org>
Committed: Sun Apr 3 18:14:53 2016 -0700

----------------------------------------------------------------------
 docs/design.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/kafka/blob/3a20ba30/docs/design.html
----------------------------------------------------------------------
diff --git a/docs/design.html b/docs/design.html
index ad40431..a97a0ad 100644
--- a/docs/design.html
+++ b/docs/design.html
@@ -300,7 +300,7 @@ Log compaction is a mechanism to give finer-grained per-record retention,
rather
 <p>
 This retention policy can be set per-topic, so a single cluster can have some topics where
retention is enforced by size or time and other topics where retention is enforced by compaction.
 <p>
-This functionality is inspired by one of LinkedIn's oldest and most successful pieces of
infrastructure&mdash;a database changelog caching service called <a href="https://github.com/linkedin/databus">Databus</a>.
Unlike most log-structured storage systems Kafka is built for subscription and organizes data
for fast linear reads and writes. Unlike Databus, Kafka acts a source-of-truth store so it
is useful even in situations where the upstream data source would not otherwise be replayable.
+This functionality is inspired by one of LinkedIn's oldest and most successful pieces of
infrastructure&mdash;a database changelog caching service called <a href="https://github.com/linkedin/databus">Databus</a>.
Unlike most log-structured storage systems Kafka is built for subscription and organizes data
for fast linear reads and writes. Unlike Databus, Kafka acts as a source-of-truth store so
it is useful even in situations where the upstream data source would not otherwise be replayable.
 
 <h4><a id="design_compactionbasics" href="#design_compactionbasics">Log Compaction
Basics</a></h4>
 


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