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POIs there any way for a fully distributed Hadoop/MapReduce program to have its individual nodes be reading local input files?
 

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  1. POIs there any way for a fully distributed Hadoop/MapReduce program to have its individual nodes be reading local input files?
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    <p>I am trying to set up a fully-distributed Hadoop/MapReduce instance where each node will be running a series of C++ Hadoop Streaming task on some input. However I don't want to move all the input tasks onto HDFS - instead I want to see if there is a way to read input data from the local folders of each node.</p> <p>Is there anyway to do this?</p> <p><strong>EDIT:</strong> An example of a hadoop command I would like to run is something similar to:</p> <pre><code>hadoop jar $HADOOP_STREAM/hadoop-streaming-0.20.203.0.jar \ -mapper map_example \ -input file:///data/ \ -output /output/ \ -reducer reducer_example \ -file map_example \ -file reducer_example </code></pre> <p>In this case, the data stored in each of my nodes is in the /data/ directory, and I want the output to go to the /output/ directory of each individual node. The map_example and reducer_example files are locally available in all nodes.</p> <p>How would I be able to implement a Hadoop command which if it is run on the master node, then all the slave nodes will essentially run the same task on an x number of nodes, resulting in a local output file in each node (based on the local input files)?</p> <p>Thanks</p>
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