Repository: spark
Updated Branches:
  refs/heads/master bd88b7185 -> cdccc263b


Fixed typos in streaming-kafka-integration.md

Changed projrect to project :)

Author: Akhil Das <ak...@darktech.ca>

Closes #3876 from akhld/patch-1 and squashes the following commits:

e0cf9ef [Akhil Das] Fixed typos in streaming-kafka-integration.md


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/cdccc263
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/cdccc263
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/cdccc263

Branch: refs/heads/master
Commit: cdccc263b20c1bb27b864411c82cfad7daca1f47
Parents: bd88b71
Author: Akhil Das <ak...@darktech.ca>
Authored: Fri Jan 2 15:12:27 2015 -0800
Committer: Tathagata Das <tathagata.das1...@gmail.com>
Committed: Fri Jan 2 15:12:27 2015 -0800

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 docs/streaming-kafka-integration.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/cdccc263/docs/streaming-kafka-integration.md
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diff --git a/docs/streaming-kafka-integration.md 
b/docs/streaming-kafka-integration.md
index 1c956fc..4378521 100644
--- a/docs/streaming-kafka-integration.md
+++ b/docs/streaming-kafka-integration.md
@@ -4,7 +4,7 @@ title: Spark Streaming + Kafka Integration Guide
 ---
 [Apache Kafka](http://kafka.apache.org/) is publish-subscribe messaging 
rethought as a distributed, partitioned, replicated commit log service.  Here 
we explain how to configure Spark Streaming to receive data from Kafka.
 
-1. **Linking:** In your SBT/Maven projrect definition, link your streaming 
application against the following artifact (see [Linking 
section](streaming-programming-guide.html#linking) in the main programming 
guide for further information).
+1. **Linking:** In your SBT/Maven project definition, link your streaming 
application against the following artifact (see [Linking 
section](streaming-programming-guide.html#linking) in the main programming 
guide for further information).
 
                groupId = org.apache.spark
                artifactId = spark-streaming-kafka_{{site.SCALA_BINARY_VERSION}}


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