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author | Reynold Xin <rxin@apache.org> | 2013-11-02 14:36:37 -0700 |
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committer | Reynold Xin <rxin@apache.org> | 2013-11-02 14:36:37 -0700 |
commit | d407c0732aa7855a3b150975931425fe9ba30519 (patch) | |
tree | a43175e26510a202d57cede1aad0c735b0633bd4 | |
parent | e7c7b804b529342d6de1c86ee02bc78da81279bc (diff) | |
parent | 895747bb055ed1b4d0b5db8baf8b416d8c1683ca (diff) | |
download | spark-d407c0732aa7855a3b150975931425fe9ba30519.tar.gz spark-d407c0732aa7855a3b150975931425fe9ba30519.tar.bz2 spark-d407c0732aa7855a3b150975931425fe9ba30519.zip |
Merge pull request #134 from rxin/readme
Fixed a typo in Hadoop version in README.
-rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -69,7 +69,7 @@ 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 entry to +using Hadoop 1.2.1 and build your application using SBT, add this entry to `libraryDependencies`: "org.apache.hadoop" % "hadoop-client" % "1.2.1" |