Difference between revisions of "Apache Spark"

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[[Category:Distributed computing]]
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Revision as of 14:34, 5 November 2015

Apache Spark is an open-source cluster computing framework originally developed in the AMPLab at UC Berkeley. In contrast to Hadoop's two-stage disk-based MapReduce paradigm, Spark's in-memory primitives provide performance up to 100 times faster for certain applications. By allowing user programs to load data into a cluster's memory and query it repeatedly, Spark is well-suited to machine learning algorithms.


Install the apache_sparkAUR package.


Some environment variables are set in /etc/profile.d/apache_spark.sh.

ENV Value Description
PATH $PATH:/usr/lib/apache_spark/bin Spark binaries

You may need to adjust your PATH environment variable if your shell inhibits /etc/profile.d:

export PATH=$PATH:/usr/lib/apache_spark/bin