From 0087b43e9cddc726f661e1e047e63390d5d9b419 Mon Sep 17 00:00:00 2001
From: Jey Kottalam <jey@cs.berkeley.edu>
Date: Wed, 21 Aug 2013 21:15:00 -0700
Subject: Use Hadoop 1.2.1 in application example

---
 README.md | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

(limited to 'README.md')

diff --git a/README.md b/README.md
index 8502410c52..e5f527b84a 100644
--- a/README.md
+++ b/README.md
@@ -71,19 +71,18 @@ described below.
 
 When developing a Spark application, specify the Hadoop version by adding the
 "hadoop-client" artifact to your project's dependencies. For example, if you're
-using Hadoop 1.0.1 and build your application using SBT, add this to
+using Hadoop 1.0.1 and build your application using SBT, add this entry to
 `libraryDependencies`:
 
-    // "force()" is required because "1.0.1" is less than Spark's default of "1.0.4"
-    "org.apache.hadoop" % "hadoop-client" % "1.0.1" force()
+    "org.apache.hadoop" % "hadoop-client" % "1.2.1"
 
 If your project is built with Maven, add this to your POM file's `<dependencies>` section:
 
     <dependency>
       <groupId>org.apache.hadoop</groupId>
       <artifactId>hadoop-client</artifactId>
-      <!-- the brackets are needed to tell Maven that this is a hard dependency on version "1.0.1" exactly -->
-      <version>[1.0.1]</version>
+      <!-- the brackets are needed to tell Maven that this is a hard dependency on version "1.2.1" exactly -->
+      <version>[1.2.1]</version>
     </dependency>
 
 
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