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Build the image

If you'd like to try directly from the Dockerfile you can build the image as:

docker build -t ward07/hadoop-ubuntu .

Pull the image

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 ward07/hadoop-ubuntu

Create a container

In order to use the Docker image you have just build or pulled use:

docker run -i -t ward07/hadoop-ubuntu /etc/ -bash

or use...

docker run -it  --name  hadoop -p 2122:2122 -p 8030-8033:8030-8033 -p 8040:8040 -p 8042:8042 -p 8088:8088 -p 19888:19888 -p 49707:49707 -p 50010:50010 -p 50020:50020 -p 50070:50070 -p 50075:50075 -p 50090:50090  -p 50030:50030 -p 9001:9001 -p 9000:9000  -d ward07/hadoop-ubuntu /etc/ -bash

Start a container

docker exec -it hadoop /bin/bash


docker cp <name>.txt hadoop:/usr/local/hadoop/bin

docker cp <name>.jar hadoop:/usr/local/hadoop/bin

./hadoop fs -put <name>.txt  input

./hadoop jar <name>.jar <pakage.classProgram> input/<name>.txt <output name>

./hadoop fs -ls <output name>
./hadoop fs -cat <output name>/part-r-00000


You can run one of the stock examples:

# run the mapreduce
bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar grep input output 'dfs[a-z.]+'

# check the output
bin/hdfs dfs -cat output/*
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