Changed to Hadoop 2.5.0

README.md

@@ -1,12 +1,12 @@
-#Apache Hadoop 2.4.1 Docker image
+#Apache Hadoop 2.5.0 Docker image
 
 A few weeks ago we released an Apache Hadoop 2.3 Docker image - this quickly become the most [popular](https://registry.hub.docker.com/search?q=hadoop&s=downloads) Hadoop image in the Docker [registry](https://registry.hub.docker.com/).
 
 
-Following the success of our Hadoop 2.3 Docker [image](https://registry.hub.docker.com/u/sequenceiq/hadoop-docker/), the feedback and feature requests we received aligned with the Hadoop release cycle, so we have released an Apache Hadoop 2.4.1 Docker image - same as the previous version, it's available as a trusted and automated build on the official Docker [registry](https://registry.hub.docker.com/).
+Following the success of our Hadoop 2.3 Docker [image](https://registry.hub.docker.com/u/sequenceiq/hadoop-docker/), the feedback and feature requests we received aligned with the Hadoop release cycle, so we have released an Apache Hadoop 2.5.0 Docker image - same as the previous version, it's available as a trusted and automated build on the official Docker [registry](https://registry.hub.docker.com/).
 
 
-_FYI:All the former Hadoop releases (2.3, 2.4.0, 2.4.1) are available in the GitHub branches or our [Docker Registry](https://registry.hub.docker.com/u/sequenceiq/hadoop-docker/) - check the tags._
+_FYI:All the former Hadoop releases (2.3, 2.4.0, 2.4.1, 2.5.0) are available in the GitHub branches or our [Docker Registry](https://registry.hub.docker.com/u/sequenceiq/hadoop-docker/) - check the tags._
 
 # Build the image
 
@@ -20,7 +20,7 @@ docker build -t sequenceiq/hadoop-docker .
 The image is also released as an official Docker image from Docker's automated build repository - you can always pull or refer the image when launching containers.
 
 ```
-docker pull sequenceiq/hadoop-docker:2.4.1
+docker pull sequenceiq/hadoop-docker:2.5.0
 ```
 
 # Start a container
@@ -38,15 +38,15 @@ You can run one of the stock examples:
 ```
 cd $HADOOP_PREFIX
 # run the mapreduce
-bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.4.1.jar grep input output 'dfs[a-z.]+'
+bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.5.0.jar grep input output 'dfs[a-z.]+'
 
 # check the output
 bin/hdfs dfs -cat output/*
 ```
 
 ## Hadoop native libraries, build, Bintray, etc
 
-The Hadoop build process is no easy task - requires lots of libraries and their right version, protobuf, etc and takes some time - we have simplified all these, made the build and released a 64b version of Hadoop nativelibs on this [Bintray repo](https://bintray.com/sequenceiq/sequenceiq-bin/hadoop-native-64bit/2.4.1/view/files). Enjoy.
+The Hadoop build process is no easy task - requires lots of libraries and their right version, protobuf, etc and takes some time - we have simplified all these, made the build and released a 64b version of Hadoop nativelibs on this [Bintray repo](https://bintray.com/sequenceiq/sequenceiq-bin/hadoop-native-64bit/2.5.0/view/files). Enjoy.
 
 
 ## Automate everything