diff options
Diffstat (limited to 'conf')
| -rw-r--r-- | conf/spark-defaults.conf.template | 7 | ||||
| -rwxr-xr-x | conf/spark-env.sh.template | 43 |
2 files changed, 38 insertions, 12 deletions
diff --git a/conf/spark-defaults.conf.template b/conf/spark-defaults.conf.template new file mode 100644 index 0000000000..f840ff681d --- /dev/null +++ b/conf/spark-defaults.conf.template @@ -0,0 +1,7 @@ +# Default system properties included when running spark-submit. +# This is useful for setting default environmental settings. + +# Example: +# spark.master spark://master:7077 +# spark.eventLog.enabled true +# spark.eventLog.dir hdfs://namenode:8021/directory diff --git a/conf/spark-env.sh.template b/conf/spark-env.sh.template index 6432a56608..177a21cc03 100755 --- a/conf/spark-env.sh.template +++ b/conf/spark-env.sh.template @@ -1,22 +1,41 @@ #!/usr/bin/env bash -# This file contains environment variables required to run Spark. Copy it as -# spark-env.sh and edit that to configure Spark for your site. -# -# The following variables can be set in this file: +# 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 +# - 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_LIBRARY, to point to your libmesos.so if you use Mesos -# - SPARK_JAVA_OPTS, to set node-specific JVM options for Spark. Note that -# we recommend setting app-wide options in the application's driver program. -# Examples of node-specific options : -Dspark.local.dir, GC options -# Examples of app-wide options : -Dspark.serializer -# -# If using the standalone deploy mode, you can also set variables for it here: + +# Options read in YARN client mode +# - 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 / SPARK_MASTER_WEBUI_PORT, to use non-default ports +# - 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 memory to use (e.g. 1000m, 2g) +# - 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 # - SPARK_WORKER_INSTANCES, to set the number of worker processes per node # - SPARK_WORKER_DIR, to set the working directory of worker processes -# - SPARK_PUBLIC_DNS, to set the public dns name of the master +# - 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_DAEMON_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 |