To configure Spark, edit the following configuration files on all nodes that will run Spark jobs. These configuration files reside in the Spark client conf directory /usr/hdp/current/spark-client/conf on each node.

	Note
	Note: the following instructions are for a non-Kerberized cluster.

java-opts

Create a java-opts file in the Spark client /conf directory. Add the following line to the file.

-Dhdp.version=<HDP-version>

For example:

-Dhdp.version=2.3.0.0-2800

hive-site.xml

If you plan to use Hive with Spark, create a hive-site.xml file in the Spark client /conf directory. (Note: if you installed the Spark tech preview you can skip this step.)

In this file, add the hive.metastore.uris property and specify the Hive metastore as its value:

<property>
     <name>hive.metastore.uris</name>
     <value>thrift://c6401.ambari.apache.org:9083</value>
</property>

spark-env.sh

Create a spark-env.sh file in the Spark client /conf directory, and make sure the file has the following entries:

# Location where log files are stored (default: ${SPARK_HOME}/logs)
# This can be any directory where the spark user has R/W access
export SPARK_LOG_DIR=/var/log/spark

# Location of the pid file (default: /tmp)
# This can be any directory where the spark user has R/W access
export SPARK_PID_DIR=/var/run/spark

These settings are required for starting Spark services (for example, the History Service and the Thrift server). The user who starts Spark services needs to have read and write permissions to the log file and PID directory. By default these files are in the $SPARK_HOME directory, typically owned by root in RMP installation.

We recommend that you set HADOOP_CONF_DIR to the appropriate directory; for example:

set HADOOP_CONF_DIR=/etc/hadoop/conf

This will minimize the amount of work you need to do to set up environment variables before running Spark applications.

spark-defaults.conf

Edit the spark-defaults.conf file in the Spark client /conf directory. Make sure the following values are specified, including hostname and port. (Note: if you installed the tech preview, these will already be in the file.) For example:

spark.yarn.historyServer.address c6401.ambari.apache.org:18080
spark.history.ui.port 18080
spark.yarn.services org.apache.spark.deploy.yarn.history.YarnHistoryService
spark.driver.extraJavaOptions -Dhdp.version=2.3.0.0-2800
spark.yarn.am.extraJavaOptions -Dhdp.version=2.3.0.0-2800

Create a Spark user

To use the Spark History Service, run Hive queries as the Spark user, or run Spark jobs; the associated user must have sufficient HDFS access. One way of ensuring this is to add the user to the hdfs group.

The following example creates a spark user: