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diff --git a/docs/hadoop-provided.md b/docs/hadoop-provided.md new file mode 100644 index 0000000000..0ba5a58051 --- /dev/null +++ b/docs/hadoop-provided.md @@ -0,0 +1,26 @@ +--- +layout: global +displayTitle: Using Spark's "Hadoop Free" Build +title: Using Spark's "Hadoop Free" Build +--- + +Spark uses Hadoop client libraries for HDFS and YARN. Starting in version Spark 1.4, the project packages "Hadoop free" builds that lets you more easily connect a single Spark binary to any Hadoop version. To use these builds, you need to modify `SPARK_DIST_CLASSPATH` to include Hadoop's package jars. The most convenient place to do this is by adding an entry in `conf/spark-env.sh`. + +This page describes how to connect Spark to Hadoop for different types of distributions. + +# Apache Hadoop +For Apache distributions, you can use Hadoop's 'classpath' command. For instance: + +{% highlight bash %} +### in conf/spark-env.sh ### + +# If 'hadoop' binary is on your PATH +export SPARK_DIST_CLASSPATH=$(hadoop classpath) + +# With explicit path to 'hadoop' binary +export SPARK_DIST_CLASSPATH=$(/path/to/hadoop/bin/hadoop classpath) + +# Passing a Hadoop configuration directory +export SPARK_DIST_CLASSPATH=$(hadoop classpath --config /path/to/configs) + +{% endhighlight %} |