kafka git commit: MINOR: Doc individual partition must fit on the server that host it

[gu...@apache.org]

Repository: kafka
Updated Branches:
  refs/heads/trunk 157227458 -> 8abcece40


MINOR: Doc individual partition must fit on the server that host it

Author: sahil kharb <sa...@iitj.ac.in>

Reviewers: Ismael Juma, Guozhang Wang

Closes #1709 from bitfurry/trunk


Project: http://git-wip-us.apache.org/repos/asf/kafka/repo
Commit: http://git-wip-us.apache.org/repos/asf/kafka/commit/8abcece4
Tree: http://git-wip-us.apache.org/repos/asf/kafka/tree/8abcece4
Diff: http://git-wip-us.apache.org/repos/asf/kafka/diff/8abcece4

Branch: refs/heads/trunk
Commit: 8abcece40aea8860bd0c2feb25d2a91db529cc29
Parents: 1572274
Author: sahil kharb <sa...@iitj.ac.in>
Authored: Tue Aug 9 11:27:57 2016 -0700
Committer: Guozhang Wang <wa...@gmail.com>
Committed: Tue Aug 9 11:27:57 2016 -0700

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


http://git-wip-us.apache.org/repos/asf/kafka/blob/8abcece4/docs/introduction.html
----------------------------------------------------------------------
diff --git a/docs/introduction.html b/docs/introduction.html
index c2e3554..3fbf7a3 100644
--- a/docs/introduction.html
+++ b/docs/introduction.html
@@ -50,7 +50,7 @@ In fact the only metadata retained on a per-consumer basis is the position of th
 <p>
 This combination of features means that Kafka consumers are very cheap&mdash;they can come and go without much impact on the cluster or on other consumers. For example, you can use our command line tools to "tail" the contents of any topic without changing what is consumed by any existing consumers.
 <p>
-The partitions in the log serve several purposes. First, they allow the log to scale beyond a size that will fit on a single server. Each individual partition must fit on the servers that host it, but a topic may have many partitions so it can handle an arbitrary amount of data. Second they act as the unit of parallelism&mdash;more on that in a bit.
+The partitions in the log serve several purposes. First, they allow the log to scale beyond a size that will fit on a single server. Each individual partition must fit on the server that hosts it, but a topic may have many partitions so it can handle an arbitrary amount of data. Second they act as the unit of parallelism&mdash;more on that in a bit.
 
 <h4><a id="intro_distribution" href="#intro_distribution">Distribution</a></h4>