Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes #6766 from vanzin/SPARK-6511 and squashes the following commits:
49f0f67 [Marcelo Vanzin] [SPARK-6511] [docs] Fix example command in hadoop-provided docs.
(cherry picked from commit 9cbdf31ec1
)
Signed-off-by: Reynold Xin <rxin@databricks.com>
1 KiB
layout | displayTitle | title |
---|---|---|
global | Using Spark's "Hadoop Free" Build | 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 --config /path/to/configs classpath)
{% endhighlight %}