This is the documentation for Cloudera 5.5.x. Documentation for other versions is available at Cloudera Documentation.

Managing Spark Standalone Using the Command Line

  Important: This item is deprecated and will be removed in a future release. Cloudera supports items that are deprecated until they are removed. For more information about deprecated and removed items, see Deprecated Items.

This section describes how to configure and start Spark Standalone services.

For information on installing Spark using the command line, see Spark Installation. For information on configuring and starting the Spark History Server, see Configuring and Running the Spark History Server Using the Command Line.

For information on Spark applications, see Spark Applications.

Configuring Spark Standalone

Before running Spark Standalone, do the following on every host in the cluster:
  • Edit /etc/spark/conf/ and change hostname in the last line to the name of the host where the Spark Master will run:
    ### === IMPORTANT ===
    ### Change the following to specify the Master host
    export STANDALONE_SPARK_MASTER_HOST=`hostname`
  • Optionally, edit other configuration options:
    • SPARK_WORKER_CORES, to set the number of cores to use on this machine
    • SPARK_WORKER_MEMORY, to set how much memory to use (for example: 1000 MB, 2 GB)
    • SPARK_WORKER_INSTANCE, to set the number of worker processes per node
    • SPARK_WORKER_DIR, to set the working directory of worker processes

Starting and Stopping Spark Standalone Clusters

To start Spark Standalone clusters:
  1. On one host in the cluster, start the Spark Master:
    $ sudo service spark-master start

    You can access the Spark Master UI at spark_master:18080.

  2. On all the other hosts, start the workers:
    $ sudo service spark-worker start
To stop Spark, use the following commands on the appropriate hosts:
$ sudo service spark-worker stop
$ sudo service spark-master stop

Service logs are stored in /var/log/spark.

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