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APACHE KARAF COOKBOOK

You're reading from   APACHE KARAF COOKBOOK Over 60 recipes to help you get the most out of your Apache Karaf deployments

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Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781783985081
Length 260 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (12) Chapters Close

Preface 1. Apache Karaf for System Builders FREE CHAPTER 2. Making Smart Routers with Apache Camel 3. Deploying a Message Broker with Apache ActiveMQ 4. Hosting a Web Server with Pax Web 5. Hosting Web Services with Apache CXF 6. Distributing a Clustered Container with Apache Karaf Cellar 7. Providing a Persistence Layer with Apache Aries and OpenJPA 8. Providing a Big Data Integration Layer with Apache Cassandra 9. Providing a Big Data Integration Layer with Apache Hadoop 10. Testing Apache Karaf with Pax Exam Index

Accessing Apache Hadoop from Karaf


In Hadoop, the core of a cluster is the distributed and replicated filesystem. We have HDFS running and can access it from our command line window as a regular user. Actually, getting to it from an OSGi container will prove to be slightly more complicated than just writing the Java components.

Hadoop requires us to provide configuration metadata for our cluster that can be looked up as file or classpath resources. In this recipe, we will simply copy the HDFS site-specific files we created earlier in the chapter to our src/main/resources folder.

We will also include the default metadata definitions into our resources by copying them from a dependency, and finally, we'll allow our bundle classloader to perform fully dynamic class loading. To sum it up, we have to copy the core-site.xml, hdfs-site.xml, and mapred-site.xml files into our classpath. These files together describe to our client how to access HDFS.

As we get to the code, there is also a step we'll...

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