Hands-on Hadoop for cluster computing


 
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Old 10-22-2008
Hands-on Hadoop for cluster computing

10-22-2008 01:00 AM
Hadoop is a distributed computing platform that provides a framework for storing and processing petabytes of data. Because it is Java-based, Hadoop runs on Linux, Windows, Solaris, BSD, and Mac OS X. Hadoop is widely used in organizations that demand a scalable, economical (read commodity hardware), efficent, and reliable platform for processing vast amounts of data.



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4S-BACKEND_SETUP(1J)						      4store						      4S-BACKEND_SETUP(1J)

NAME
4s-backend-setup -- Create a new 4store KB SYNOPSIS
4s-backend-setup kbname [--node node-number] [--cluster cluster-size] [--segments segment-count] kb-name --node Number of this node in the cluster, values range from 0 to cluster-size - 1. The default is 0. --cluster The number of nodes in the cluster. The default is 1. --segments The number of segments in the cluster. The default is 2. We recommend one for each CPU core in the cluster as a good starting point. Higher numbers tend to consume more resources, but may result in increased performance. NOTES
Once crated with 4s-backend-setup KBs should be started with 4s-backend(1) SEE ALSO
4s-query(1), 4s-size(1), 4s-httpd(1), 4s-backend(1), 4s-delete-model(1) EXAMPLES
$ 4s-backend-setup --node 0 --cluster 1 --segments 4 demo Creates the indexes for a single-machine KB with four segments, named "demo". 4store May 31, 2019 4store