# Apache Spark

From ArchWiki
Jump to navigation Jump to search
The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.

Related articles

- Hadoop

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.

## Installation

Install the apache-sparkAUR package.

## Configuration

Some environment variables are set in `/etc/profile.d/apache-spark.sh`.

ENV | Value | Description
--- | --- | ---
PATH | `$PATH:/opt/apache-spark/bin` | Spark binaries

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

    export PATH=$PATH:/opt/apache-spark/bin

## Enable R support

The R package sparkR is distributed with the package but not built during installation. To connect to Spark from R you must first build the package by running

    # $SPARK_HOME/R/install-dev.sh

as described in `$SPARK_HOME/R/README.md`. You may also wish to build the package documentation following the instructions in `$SPARK_HOME/R/DOCUMENTATION.md`.

Once the sparkR R package has been built you can connect using `/usr/bin/sparkR`.

Category:

- Distributed computing