Big data configuration

This commit is contained in:
Filippo Berto 2022-02-12 09:35:54 +01:00
parent 43f698a329
commit 72df315b4d
10 changed files with 634 additions and 2 deletions

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@ -3,6 +3,46 @@
# and in the NixOS manual (accessible by running nixos-help). # and in the NixOS manual (accessible by running nixos-help).
{ config, pkgs, lib, ... }: { config, pkgs, lib, ... }:
let sparkConfDir = pkgs.stdenv.mkDerivation {
name = "spark-config";
dontUnpack = true;
installPhase = ''
# source standard environment
. $stdenv/setup
# shorthands
base_conf=${pkgs.spark}/lib/${pkgs.spark.untarDir}/conf/
# create output dirs for new derivation
mkdir -p $out/
# link unchanged files from the original gnome-session
for f in $base_conf/*.template ; do
ln -sf $f $out/
done
# change selected files
cp $out/log4j.properties{.template,}
cat > $out/spark-env.sh <<- STOP
export JAVA_HOME="${pkgs.jdk8}"
export SPARK_HOME="${pkgs.spark}/lib/${pkgs.spark.untarDir}"
export SPARK_DIST_CLASSPATH=$(${pkgs.hadoop}/bin/hadoop classpath)
export PYSPARK_PYTHON="${pkgs.python3Packages.python}/bin/${pkgs.python3Packages.python.executable}"
export PYTHONPATH="\$PYTHONPATH:$PYTHONPATH"
export SPARKR_R_SHELL="${pkgs.R}/bin/R"
export PATH="\$PATH:${pkgs.R}/bin"
STOP
cat > $out/spark-defaults.conf <<- STOP
spark.eventLog.enabled true
spark.eventLog.dir hdfs://localhost:/logs/spark
spark.history.fs.logDirectory hdfs://localhost:/logs/spark
STOP
'';
};
in
{ {
imports = [ imports = [
<nixos-hardware/common/cpu/amd> <nixos-hardware/common/cpu/amd>
@ -102,7 +142,7 @@
}; };
}; };
clamav = { daemon.enable = true; updater.enable = true; }; clamav = { daemon.enable = true; updater.enable = true; };
dbus.packages = with pkgs; [ gnome.dconf ]; dbus.packages = with pkgs; [ pkgs.dconf ];
gnome.gnome-keyring.enable = true; gnome.gnome-keyring.enable = true;
gvfs = { enable = true; package = pkgs.gnome3.gvfs; }; gvfs = { enable = true; package = pkgs.gnome3.gvfs; };
fwupd.enable = true; fwupd.enable = true;
@ -154,11 +194,104 @@
}; };
# gnome.gnome-remote-desktop.enable = true; # gnome.gnome-remote-desktop.enable = true;
zerotierone = { enable = true; joinNetworks = [ "8056c2e21cf9c753" ]; }; zerotierone = { enable = true; joinNetworks = [ "8056c2e21cf9c753" ]; };
spark = {
master = {
enable = true;
restartIfChanged = true;
};
worker = {
enable = true;
restartIfChanged = true;
};
confDir = sparkConfDir;
};
hadoop = {
coreSite = {
"fs.defaultFS" = "hdfs://localhost:8020";
};
hdfsSite = {
"dfs.namenode.rpc-bind-host" = "0.0.0.0";
"dfs.permissions" = "false";
};
hdfs = {
namenode = {
enable = true;
formatOnInit = true;
restartIfChanged = true;
};
datanode = {
enable = true;
restartIfChanged = true;
};
journalnode = {
enable = true;
restartIfChanged = true;
};
zkfc = {
enable = true;
restartIfChanged = true;
};
httpfs = {
enable = true;
restartIfChanged = true;
};
};
yarn = {
resourcemanager.enable = true;
nodemanager.enable = true;
};
};
ethminer = {
enable = false;
wallet = "0x73b788882e1C182123333f42FFf275B7dd7f51bb";
toolkit = "opencl";
rig = "thor";
pool = "eth-eu1.nanopool.org";
stratumPort = 9999;
registerMail = "";
};
# teamviewer.enable = true;
};
systemd.services.spark-history = {
path = with pkgs; [ procps openssh nettools ];
description = "spark history service.";
after = [ "network.target" ];
wantedBy = [ "multi-user.target" ];
restartIfChanged = true;
environment = {
SPARK_CONF_DIR = sparkConfDir;
SPARK_LOG_DIR = "/var/log/spark";
};
serviceConfig = {
Type = "forking";
User = "spark";
Group = "spark";
WorkingDirectory = "${pkgs.spark}/lib/${pkgs.spark.untarDir}";
ExecStart = "${pkgs.spark}/lib/${pkgs.spark.untarDir}/sbin/start-history-server.sh";
ExecStop = "${pkgs.spark}/lib/${pkgs.spark.untarDir}/sbin/stop-history-server.sh";
TimeoutSec = 300;
StartLimitBurst = 10;
Restart = "always";
};
}; };
services.teamviewer.enable = true; services.teamviewer.enable = true;
security = { security = {
pam.services."kde" = {
enableKwallet = true;
};
rtkit.enable = true; rtkit.enable = true;
sudo.extraConfig = '' sudo.extraConfig = ''
Defaults pwfeedback Defaults pwfeedback
@ -187,7 +320,8 @@
allowUnfree = true; allowUnfree = true;
packageOverrides = pkgs: { packageOverrides = pkgs: {
steam = pkgs.steam.override { steam = pkgs.steam.override {
extraPkgs = pkgs: with pkgs; [ icu ]; extraPkgs = pkgs: with pkgs; [ ];
extraLibraries = pkgs: with pkgs; [ fontconfig.lib icu freetype ];
}; };
}; };
# cudaSupport = true; # cudaSupport = true;

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<?xml version="1.0"?>
<!--
Licensed to the Apache Software Foundation (ASF) under one or more
contributor license agreements. See the NOTICE file distributed with
this work for additional information regarding copyright ownership.
The ASF licenses this file to You under the Apache License, Version 2.0
(the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
-->
<allocations>
<pool name="production">
<schedulingMode>FAIR</schedulingMode>
<weight>1</weight>
<minShare>2</minShare>
</pool>
<pool name="test">
<schedulingMode>FIFO</schedulingMode>
<weight>2</weight>
<minShare>3</minShare>
</pool>
</allocations>

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#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Set everything to be logged to the console
log4j.rootCategory=INFO, console
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n
# Set the default spark-shell log level to WARN. When running the spark-shell, the
# log level for this class is used to overwrite the root logger's log level, so that
# the user can have different defaults for the shell and regular Spark apps.
log4j.logger.org.apache.spark.repl.Main=WARN
# Settings to quiet third party logs that are too verbose
log4j.logger.org.sparkproject.jetty=WARN
log4j.logger.org.sparkproject.jetty.util.component.AbstractLifeCycle=ERROR
log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=INFO
log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=INFO
log4j.logger.org.apache.parquet=ERROR
log4j.logger.parquet=ERROR
# SPARK-9183: Settings to avoid annoying messages when looking up nonexistent UDFs in SparkSQL with Hive support
log4j.logger.org.apache.hadoop.hive.metastore.RetryingHMSHandler=FATAL
log4j.logger.org.apache.hadoop.hive.ql.exec.FunctionRegistry=ERROR
# For deploying Spark ThriftServer
# SPARK-34128Suppress undesirable TTransportException warnings involved in THRIFT-4805
log4j.appender.console.filter.1=org.apache.log4j.varia.StringMatchFilter
log4j.appender.console.filter.1.StringToMatch=Thrift error occurred during processing of message
log4j.appender.console.filter.1.AcceptOnMatch=false

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#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Set everything to be logged to the console
log4j.rootCategory=INFO, console
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n
# Set the default spark-shell log level to WARN. When running the spark-shell, the
# log level for this class is used to overwrite the root logger's log level, so that
# the user can have different defaults for the shell and regular Spark apps.
log4j.logger.org.apache.spark.repl.Main=WARN
# Settings to quiet third party logs that are too verbose
log4j.logger.org.sparkproject.jetty=WARN
log4j.logger.org.sparkproject.jetty.util.component.AbstractLifeCycle=ERROR
log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=INFO
log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=INFO
log4j.logger.org.apache.parquet=ERROR
log4j.logger.parquet=ERROR
# SPARK-9183: Settings to avoid annoying messages when looking up nonexistent UDFs in SparkSQL with Hive support
log4j.logger.org.apache.hadoop.hive.metastore.RetryingHMSHandler=FATAL
log4j.logger.org.apache.hadoop.hive.ql.exec.FunctionRegistry=ERROR
# For deploying Spark ThriftServer
# SPARK-34128Suppress undesirable TTransportException warnings involved in THRIFT-4805
log4j.appender.console.filter.1=org.apache.log4j.varia.StringMatchFilter
log4j.appender.console.filter.1.StringToMatch=Thrift error occurred during processing of message
log4j.appender.console.filter.1.AcceptOnMatch=false

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#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# syntax: [instance].sink|source.[name].[options]=[value]
# This file configures Spark's internal metrics system. The metrics system is
# divided into instances which correspond to internal components.
# Each instance can be configured to report its metrics to one or more sinks.
# Accepted values for [instance] are "master", "worker", "executor", "driver",
# and "applications". A wildcard "*" can be used as an instance name, in
# which case all instances will inherit the supplied property.
#
# Within an instance, a "source" specifies a particular set of grouped metrics.
# there are two kinds of sources:
# 1. Spark internal sources, like MasterSource, WorkerSource, etc, which will
# collect a Spark component's internal state. Each instance is paired with a
# Spark source that is added automatically.
# 2. Common sources, like JvmSource, which will collect low level state.
# These can be added through configuration options and are then loaded
# using reflection.
#
# A "sink" specifies where metrics are delivered to. Each instance can be
# assigned one or more sinks.
#
# The sink|source field specifies whether the property relates to a sink or
# source.
#
# The [name] field specifies the name of source or sink.
#
# The [options] field is the specific property of this source or sink. The
# source or sink is responsible for parsing this property.
#
# Notes:
# 1. To add a new sink, set the "class" option to a fully qualified class
# name (see examples below).
# 2. Some sinks involve a polling period. The minimum allowed polling period
# is 1 second.
# 3. Wildcard properties can be overridden by more specific properties.
# For example, master.sink.console.period takes precedence over
# *.sink.console.period.
# 4. A metrics specific configuration
# "spark.metrics.conf=${SPARK_HOME}/conf/metrics.properties" should be
# added to Java properties using -Dspark.metrics.conf=xxx if you want to
# customize metrics system. You can also put the file in ${SPARK_HOME}/conf
# and it will be loaded automatically.
# 5. The MetricsServlet sink is added by default as a sink in the master,
# worker and driver, and you can send HTTP requests to the "/metrics/json"
# endpoint to get a snapshot of all the registered metrics in JSON format.
# For master, requests to the "/metrics/master/json" and
# "/metrics/applications/json" endpoints can be sent separately to get
# metrics snapshots of the master instance and applications. This
# MetricsServlet does not have to be configured.
# 6. The metrics system can also be configured using Spark configuration
# parameters. The relevant parameter names are formed by adding the
# prefix "spark.metrics.conf." to the configuration entries detailed in
# this file (see examples below).
## List of available common sources and their properties.
# org.apache.spark.metrics.source.JvmSource
# Note: Currently, JvmSource is the only available common source.
# It can be added to an instance by setting the "class" option to its
# fully qualified class name (see examples below).
## List of available sinks and their properties.
# org.apache.spark.metrics.sink.ConsoleSink
# Name: Default: Description:
# period 10 Poll period
# unit seconds Unit of the poll period
# org.apache.spark.metrics.sink.CSVSink
# Name: Default: Description:
# period 10 Poll period
# unit seconds Unit of the poll period
# directory /tmp Where to store CSV files
# org.apache.spark.metrics.sink.GangliaSink
# Name: Default: Description:
# host NONE Hostname or multicast group of the Ganglia server,
# must be set
# port NONE Port of the Ganglia server(s), must be set
# period 10 Poll period
# unit seconds Unit of the poll period
# ttl 1 TTL of messages sent by Ganglia
# dmax 0 Lifetime in seconds of metrics (0 never expired)
# mode multicast Ganglia network mode ('unicast' or 'multicast')
# org.apache.spark.metrics.sink.JmxSink
# org.apache.spark.metrics.sink.MetricsServlet
# Name: Default: Description:
# path VARIES* Path prefix from the web server root
# sample false Whether to show entire set of samples for histograms
# ('false' or 'true')
#
# * Default path is /metrics/json for all instances except the master. The
# master has two paths:
# /metrics/applications/json # App information
# /metrics/master/json # Master information
# org.apache.spark.metrics.sink.PrometheusServlet
# Name: Default: Description:
# path VARIES* Path prefix from the web server root
#
# * Default path is /metrics/prometheus for all instances except the master. The
# master has two paths:
# /metrics/applications/prometheus # App information
# /metrics/master/prometheus # Master information
# org.apache.spark.metrics.sink.GraphiteSink
# Name: Default: Description:
# host NONE Hostname of the Graphite server, must be set
# port NONE Port of the Graphite server, must be set
# period 10 Poll period
# unit seconds Unit of the poll period
# prefix EMPTY STRING Prefix to prepend to every metric's name
# protocol tcp Protocol ("tcp" or "udp") to use
# regex NONE Optional filter to send only metrics matching this regex string
# org.apache.spark.metrics.sink.StatsdSink
# Name: Default: Description:
# host 127.0.0.1 Hostname or IP of StatsD server
# port 8125 Port of StatsD server
# period 10 Poll period
# unit seconds Units of poll period
# prefix EMPTY STRING Prefix to prepend to metric name
## Examples
# Enable JmxSink for all instances by class name
#*.sink.jmx.class=org.apache.spark.metrics.sink.JmxSink
# Enable ConsoleSink for all instances by class name
#*.sink.console.class=org.apache.spark.metrics.sink.ConsoleSink
# Enable StatsdSink for all instances by class name
#*.sink.statsd.class=org.apache.spark.metrics.sink.StatsdSink
#*.sink.statsd.prefix=spark
# Polling period for the ConsoleSink
#*.sink.console.period=10
# Unit of the polling period for the ConsoleSink
#*.sink.console.unit=seconds
# Polling period for the ConsoleSink specific for the master instance
#master.sink.console.period=15
# Unit of the polling period for the ConsoleSink specific for the master
# instance
#master.sink.console.unit=seconds
# Enable CsvSink for all instances by class name
#*.sink.csv.class=org.apache.spark.metrics.sink.CsvSink
# Polling period for the CsvSink
#*.sink.csv.period=1
# Unit of the polling period for the CsvSink
#*.sink.csv.unit=minutes
# Polling directory for CsvSink
#*.sink.csv.directory=/tmp/
# Polling period for the CsvSink specific for the worker instance
#worker.sink.csv.period=10
# Unit of the polling period for the CsvSink specific for the worker instance
#worker.sink.csv.unit=minutes
# Enable Slf4jSink for all instances by class name
#*.sink.slf4j.class=org.apache.spark.metrics.sink.Slf4jSink
# Polling period for the Slf4JSink
#*.sink.slf4j.period=1
# Unit of the polling period for the Slf4jSink
#*.sink.slf4j.unit=minutes
# Example configuration for Graphite sink
#*.sink.graphite.class=org.apache.spark.metrics.sink.GraphiteSink
#*.sink.graphite.host=<graphiteEndPoint_hostName>
#*.sink.graphite.port=<listening_port>
#*.sink.graphite.period=10
#*.sink.graphite.unit=seconds
#*.sink.graphite.prefix=<optional_value>
# Enable JvmSource for instance master, worker, driver and executor
#master.source.jvm.class=org.apache.spark.metrics.source.JvmSource
#worker.source.jvm.class=org.apache.spark.metrics.source.JvmSource
#driver.source.jvm.class=org.apache.spark.metrics.source.JvmSource
#executor.source.jvm.class=org.apache.spark.metrics.source.JvmSource
# Example configuration for PrometheusServlet
#*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet
#*.sink.prometheusServlet.path=/metrics/prometheus
#master.sink.prometheusServlet.path=/metrics/master/prometheus
#applications.sink.prometheusServlet.path=/metrics/applications/prometheus

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#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# 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
# spark.serializer org.apache.spark.serializer.KryoSerializer
# spark.driver.memory 5g
# spark.executor.extraJavaOptions -XX:+PrintGCDetails -Dkey=value -Dnumbers="one two three"
# spark.io.compression.codec lzf
# spark.io.compression.codec org.apache.spark.io.SnappyCompressionCodec
# spark.eventLog.compress false
spark.eventLog.enabled true
spark.eventLog.dir hdfs://localhost:/logs/spark
spark.history.fs.logDirectory hdfs://localhost:/logs/spark
#
#

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#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# 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
# spark.serializer org.apache.spark.serializer.KryoSerializer
# spark.driver.memory 5g
# spark.executor.extraJavaOptions -XX:+PrintGCDetails -Dkey=value -Dnumbers="one two three"

7
spark_conf/spark-env.sh Normal file
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export JAVA_HOME="/nix/store/d0akdmr675jrlabv7n8syg8yrg1zlyxz-openjdk-8u272-b10"
export SPARK_HOME="/nix/store/zhj5q1pi0bs2lpc0lbkw8qkg03ywx9b8-spark-3.1.2/lib/spark-3.1.2"
export SPARK_DIST_CLASSPATH=/nix/store/2b608nzvrsw1b8jd14vc77dc5j32q498-hadoop-3.3.1/lib/hadoop-3.3.1/share/hadoop/common/lib/*:/nix/store/2b608nzvrsw1b8jd14vc77dc5j32q498-hadoop-3.3.1/lib/hadoop-3.3.1/share/hadoop/common/*:/nix/store/2b608nzvrsw1b8jd14vc77dc5j32q498-hadoop-3.3.1/lib/hadoop-3.3.1/share/hadoop/hdfs:/nix/store/2b608nzvrsw1b8jd14vc77dc5j32q498-hadoop-3.3.1/lib/hadoop-3.3.1/share/hadoop/hdfs/lib/*:/nix/store/2b608nzvrsw1b8jd14vc77dc5j32q498-hadoop-3.3.1/lib/hadoop-3.3.1/share/hadoop/hdfs/*:/nix/store/2b608nzvrsw1b8jd14vc77dc5j32q498-hadoop-3.3.1/lib/hadoop-3.3.1/share/hadoop/mapreduce/*:/nix/store/2b608nzvrsw1b8jd14vc77dc5j32q498-hadoop-3.3.1/lib/hadoop-3.3.1/share/hadoop/yarn:/nix/store/2b608nzvrsw1b8jd14vc77dc5j32q498-hadoop-3.3.1/lib/hadoop-3.3.1/share/hadoop/yarn/lib/*:/nix/store/2b608nzvrsw1b8jd14vc77dc5j32q498-hadoop-3.3.1/lib/hadoop-3.3.1/share/hadoop/yarn/*
export PYSPARK_PYTHON="/nix/store/2c9w4p2x6x0l64fdvcmc11app7x4xran-python3-3.9.6/bin/python3.9"
export PYTHONPATH="$PYTHONPATH:/nix/store/2c9w4p2x6x0l64fdvcmc11app7x4xran-python3-3.9.6/lib/python3.9/site-packages"
export SPARKR_R_SHELL="/nix/store/h1s3y5jjrwdm5gd2qyxp2ldsnykippcb-R-4.1.2/bin/R"
export PATH="$PATH:/nix/store/h1s3y5jjrwdm5gd2qyxp2ldsnykippcb-R-4.1.2/bin"

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#!/nix/store/vfai0jim0db67nk9rd7ziq29jxb5n79n-bash-5.1-p8/bin/bash
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# 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
# 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_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/cluster mode
# - SPARK_CONF_DIR, Alternate conf dir. (Default: ${SPARK_HOME}/conf)
# - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files
# - YARN_CONF_DIR, to point Spark towards YARN configuration files when you use YARN
# - SPARK_EXECUTOR_CORES, Number of cores for the executors (Default: 1).
# - SPARK_EXECUTOR_MEMORY, Memory per Executor (e.g. 1000M, 2G) (Default: 1G)
# - SPARK_DRIVER_MEMORY, Memory for Driver (e.g. 1000M, 2G) (Default: 1G)
# Options for the daemons used in the standalone deploy mode
# - SPARK_MASTER_HOST, to bind the master to a different IP address or hostname
# - SPARK_MASTER_PORT / SPARK_MASTER_WEBUI_PORT, 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_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_DAEMON_MEMORY, to allocate to the master, worker and history server themselves (default: 1g).
# - 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_DAEMON_CLASSPATH, to set the classpath for all daemons
# - SPARK_PUBLIC_DNS, to set the public dns name of the master or workers
# Options for launcher
# - SPARK_LAUNCHER_OPTS, to set config properties and Java options for the launcher (e.g. "-Dx=y")
# 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_LOG_MAX_FILES Max log files of Spark daemons can rotate to. Default is 5.
# - 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)
# - SPARK_NO_DAEMONIZE Run the proposed command in the foreground. It will not output a PID file.
# Options for native BLAS, like Intel MKL, OpenBLAS, and so on.
# You might get better performance to enable these options if using native BLAS (see SPARK-21305).
# - MKL_NUM_THREADS=1 Disable multi-threading of Intel MKL
# - OPENBLAS_NUM_THREADS=1 Disable multi-threading of OpenBLAS

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#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
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# See the License for the specific language governing permissions and
# limitations under the License.
#
# A Spark Worker will be started on each of the machines listed below.
localhost