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MapReduce Tutorial : Running multiple Hadoop jobs in one source file

The Java API offers possibility to submit multiple Hadoop job in one source file. A job can be submitted either using

Exercise 1

Improve the sorting exercise to handle nonuniform keys distribution. As in the Perl solution, run two Hadoop jobs (using one Java source file) – first samples the input and creates separator, second does the real sorting.

Exercise 2

Implement the K-means clustering exercise in Java. Instead of an controlling script, use the Java class itself to execute the Hadoop job as many times as necessary.

Step 26: Compression and job configuration. Overview Step 28: Custom data types.

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