5c265ccde0
These descriptions are from the header of spark-daemon.sh Author: Andrew Ash <andrew@andrewash.com> Closes #2518 from ash211/SPARK-3663 and squashes the following commits: 058b257 [Andrew Ash] Complete hanging clause in SPARK_PID_DIR description a17cb4b [Andrew Ash] Update docs for default locations per SPARK-4110 af89096 [Andrew Ash] SPARK-3663 Document SPARK_LOG_DIR and SPARK_PID_DIR
51 lines
3.1 KiB
Bash
Executable file
51 lines
3.1 KiB
Bash
Executable file
#!/usr/bin/env bash
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# This file is sourced when running various Spark programs.
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# Copy it as spark-env.sh and edit that to configure Spark for your site.
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# Options read when launching programs locally with
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# ./bin/run-example or ./bin/spark-submit
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# - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files
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# - SPARK_LOCAL_IP, to set the IP address Spark binds to on this node
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# - SPARK_PUBLIC_DNS, to set the public dns name of the driver program
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# - SPARK_CLASSPATH, default classpath entries to append
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# Options read by executors and drivers running inside the cluster
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# - SPARK_LOCAL_IP, to set the IP address Spark binds to on this node
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# - SPARK_PUBLIC_DNS, to set the public DNS name of the driver program
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# - SPARK_CLASSPATH, default classpath entries to append
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# - SPARK_LOCAL_DIRS, storage directories to use on this node for shuffle and RDD data
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# - MESOS_NATIVE_LIBRARY, to point to your libmesos.so if you use Mesos
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# Options read in YARN client mode
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# - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files
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# - SPARK_EXECUTOR_INSTANCES, Number of workers to start (Default: 2)
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# - SPARK_EXECUTOR_CORES, Number of cores for the workers (Default: 1).
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# - SPARK_EXECUTOR_MEMORY, Memory per Worker (e.g. 1000M, 2G) (Default: 1G)
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# - SPARK_DRIVER_MEMORY, Memory for Master (e.g. 1000M, 2G) (Default: 512 Mb)
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# - SPARK_YARN_APP_NAME, The name of your application (Default: Spark)
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# - SPARK_YARN_QUEUE, The hadoop queue to use for allocation requests (Default: ‘default’)
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# - SPARK_YARN_DIST_FILES, Comma separated list of files to be distributed with the job.
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# - SPARK_YARN_DIST_ARCHIVES, Comma separated list of archives to be distributed with the job.
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# Options for the daemons used in the standalone deploy mode
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# - SPARK_MASTER_IP, to bind the master to a different IP address or hostname
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# - SPARK_MASTER_PORT / SPARK_MASTER_WEBUI_PORT, to use non-default ports for the master
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# - SPARK_MASTER_OPTS, to set config properties only for the master (e.g. "-Dx=y")
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# - SPARK_WORKER_CORES, to set the number of cores to use on this machine
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# - SPARK_WORKER_MEMORY, to set how much total memory workers have to give executors (e.g. 1000m, 2g)
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# - SPARK_WORKER_PORT / SPARK_WORKER_WEBUI_PORT, to use non-default ports for the worker
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# - SPARK_WORKER_INSTANCES, to set the number of worker processes per node
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# - SPARK_WORKER_DIR, to set the working directory of worker processes
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# - SPARK_WORKER_OPTS, to set config properties only for the worker (e.g. "-Dx=y")
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# - SPARK_HISTORY_OPTS, to set config properties only for the history server (e.g. "-Dx=y")
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# - SPARK_DAEMON_JAVA_OPTS, to set config properties for all daemons (e.g. "-Dx=y")
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# - SPARK_PUBLIC_DNS, to set the public dns name of the master or workers
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# Generic options for the daemons used in the standalone deploy mode
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# - SPARK_CONF_DIR Alternate conf dir. (Default: ${SPARK_HOME}/conf)
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# - SPARK_LOG_DIR Where log files are stored. (Default: ${SPARK_HOME}/logs)
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# - SPARK_PID_DIR Where the pid file is stored. (Default: /tmp)
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# - SPARK_IDENT_STRING A string representing this instance of spark. (Default: $USER)
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# - SPARK_NICENESS The scheduling priority for daemons. (Default: 0)
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