PFA sample file
On Mon, Jul 13, 2015 at 7:37 PM, Arun Verma <arun.verma...@gmail.com> wrote:
> Hi,
>
> Yes it is. To do it follow these steps;
> 1. cd spark/intallation/path/.../conf
> 2. cp spark-env.sh.template spark-env.sh
> 3. vi spark-env.sh
> 4. SPARK_MASTER_PORT=9000(or any other available port)
>
> PFA sample file. I hope this will help.
>
> On Mon, Jul 13, 2015 at 7:24 PM, ashishdutt <ashish.du...@gmail.com>
> wrote:
>
>> Many thanks for your response.
>> Regards,
>> Ashish
>>
>>
>>
>> --
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>>
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>
>
> --
> Thanks and Regards,
> Arun Verma
>
--
Thanks and Regards,
Arun
#!/usr/bin/env bash
# This file is sourced when running various Spark programs.
# Copy it as spark-env.sh and edit that to configure Spark for your site.
# Options read when launching programs locally with
# ./bin/run-example or ./bin/spark-submit
# - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files
# - SPARK_LOCAL_IP, to set the IP address Spark binds to on this node
# - SPARK_PUBLIC_DNS, to set the public dns name of the driver program
# - SPARK_CLASSPATH, default classpath entries to append
# Options read by executors and drivers running inside the cluster
# - SPARK_LOCAL_IP, to set the IP address Spark binds to on this node
# - SPARK_PUBLIC_DNS, to set the public DNS name of the driver program
# - SPARK_CLASSPATH, default classpath entries to append
# - SPARK_LOCAL_DIRS, storage directories to use on this node for shuffle and
RDD data
# - MESOS_NATIVE_JAVA_LIBRARY, to point to your libmesos.so if you use Mesos
# Options read in YARN client mode
# - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files
# - SPARK_EXECUTOR_INSTANCES, Number of workers to start (Default: 2)
# - SPARK_EXECUTOR_CORES, Number of cores for the workers (Default: 1).
# - SPARK_EXECUTOR_MEMORY, Memory per Worker (e.g. 1000M, 2G) (Default: 1G)
# - SPARK_DRIVER_MEMORY, Memory for Master (e.g. 1000M, 2G) (Default: 512 Mb)
# - SPARK_YARN_APP_NAME, The name of your application (Default: Spark)
# - SPARK_YARN_QUEUE, The hadoop queue to use for allocation requests (Default:
‘default’)
# - SPARK_YARN_DIST_FILES, Comma separated list of files to be distributed with
the job.
# - SPARK_YARN_DIST_ARCHIVES, Comma separated list of archives to be
distributed with the job.
# Options for the daemons used in the standalone deploy mode
# - SPARK_MASTER_IP, to bind the master to a different IP address or hostname
SPARK_MASTER_PORT=9000
SPARK_MASTER_WEBUI_PORT=8000 # to use non-default ports for the master
# - SPARK_MASTER_OPTS, to set config properties only for the master (e.g.
"-Dx=y")
# - SPARK_WORKER_CORES, to set the number of cores to use on this machine
# - SPARK_WORKER_MEMORY, to set how much total memory workers have to give
executors (e.g. 1000m, 2g)
# - SPARK_WORKER_PORT / SPARK_WORKER_WEBUI_PORT, to use non-default ports for
the worker
# - SPARK_WORKER_INSTANCES, to set the number of worker processes per node
# - SPARK_WORKER_DIR, to set the working directory of worker processes
# - SPARK_WORKER_OPTS, to set config properties only for the worker (e.g.
"-Dx=y")
# - SPARK_HISTORY_OPTS, to set config properties only for the history server
(e.g. "-Dx=y")
# - SPARK_SHUFFLE_OPTS, to set config properties only for the external shuffle
service (e.g. "-Dx=y")
# - SPARK_DAEMON_JAVA_OPTS, to set config properties for all daemons (e.g.
"-Dx=y")
# - SPARK_PUBLIC_DNS, to set the public dns name of the master or workers
# Generic options for the daemons used in the standalone deploy mode
# - SPARK_CONF_DIR Alternate conf dir. (Default: ${SPARK_HOME}/conf)
# - SPARK_LOG_DIR Where log files are stored. (Default:
${SPARK_HOME}/logs)
# - SPARK_PID_DIR Where the pid file is stored. (Default: /tmp)
# - SPARK_IDENT_STRING A string representing this instance of spark. (Default:
$USER)
# - SPARK_NICENESS The scheduling priority for daemons. (Default: 0)
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