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authorJey Kottalam <jey@cs.berkeley.edu>2013-08-21 14:56:25 -0700
committerJey Kottalam <jey@cs.berkeley.edu>2013-08-21 15:03:37 -0700
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treeea98f6dfb37ecab66222fd2ff840a5843618e8af /README.md
parent6585f49841ada637b0811e0aadcf93132fff7001 (diff)
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@@ -71,19 +71,19 @@ 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 0.23.9 and build your application using SBT, add this to
+using Hadoop 1.0.1 and build your application using SBT, add this to
`libraryDependencies`:
- // "force()" is required because "0.23.9" is less than Spark's default of "1.0.4"
- "org.apache.hadoop" % "hadoop-client" % "0.23.9" force()
+ // "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()
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 "0.23.9" exactly -->
- <version>[0.23.9]</version>
+ <!-- the brackets are needed to tell Maven that this is a hard dependency on version "1.0.1" exactly -->
+ <version>[1.0.1]</version>
</dependency>