Big data configuration
This commit is contained in:
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43f698a329
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10 changed files with 634 additions and 2 deletions
138
nixos/thor.nix
138
nixos/thor.nix
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@ -3,6 +3,46 @@
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# and in the NixOS manual (accessible by running ‘nixos-help’).
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{ config, pkgs, lib, ... }:
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let sparkConfDir = pkgs.stdenv.mkDerivation {
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name = "spark-config";
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dontUnpack = true;
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installPhase = ''
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# source standard environment
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. $stdenv/setup
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# shorthands
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base_conf=${pkgs.spark}/lib/${pkgs.spark.untarDir}/conf/
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# create output dirs for new derivation
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mkdir -p $out/
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# link unchanged files from the original gnome-session
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for f in $base_conf/*.template ; do
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ln -sf $f $out/
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done
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# change selected files
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cp $out/log4j.properties{.template,}
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cat > $out/spark-env.sh <<- STOP
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export JAVA_HOME="${pkgs.jdk8}"
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export SPARK_HOME="${pkgs.spark}/lib/${pkgs.spark.untarDir}"
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export SPARK_DIST_CLASSPATH=$(${pkgs.hadoop}/bin/hadoop classpath)
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export PYSPARK_PYTHON="${pkgs.python3Packages.python}/bin/${pkgs.python3Packages.python.executable}"
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export PYTHONPATH="\$PYTHONPATH:$PYTHONPATH"
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export SPARKR_R_SHELL="${pkgs.R}/bin/R"
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export PATH="\$PATH:${pkgs.R}/bin"
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STOP
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cat > $out/spark-defaults.conf <<- STOP
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spark.eventLog.enabled true
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spark.eventLog.dir hdfs://localhost:/logs/spark
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spark.history.fs.logDirectory hdfs://localhost:/logs/spark
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STOP
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'';
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};
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in
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{
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imports = [
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<nixos-hardware/common/cpu/amd>
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@ -102,7 +142,7 @@
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};
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};
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clamav = { daemon.enable = true; updater.enable = true; };
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dbus.packages = with pkgs; [ gnome.dconf ];
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dbus.packages = with pkgs; [ pkgs.dconf ];
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gnome.gnome-keyring.enable = true;
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gvfs = { enable = true; package = pkgs.gnome3.gvfs; };
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fwupd.enable = true;
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@ -154,11 +194,104 @@
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};
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# gnome.gnome-remote-desktop.enable = true;
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zerotierone = { enable = true; joinNetworks = [ "8056c2e21cf9c753" ]; };
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spark = {
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master = {
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enable = true;
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restartIfChanged = true;
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};
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worker = {
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enable = true;
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restartIfChanged = true;
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};
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confDir = sparkConfDir;
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};
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hadoop = {
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coreSite = {
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"fs.defaultFS" = "hdfs://localhost:8020";
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};
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hdfsSite = {
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"dfs.namenode.rpc-bind-host" = "0.0.0.0";
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"dfs.permissions" = "false";
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};
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hdfs = {
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namenode = {
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enable = true;
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formatOnInit = true;
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restartIfChanged = true;
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};
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datanode = {
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enable = true;
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restartIfChanged = true;
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};
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journalnode = {
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enable = true;
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restartIfChanged = true;
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};
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zkfc = {
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enable = true;
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restartIfChanged = true;
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};
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httpfs = {
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enable = true;
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restartIfChanged = true;
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};
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};
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yarn = {
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resourcemanager.enable = true;
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nodemanager.enable = true;
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};
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};
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ethminer = {
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enable = false;
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wallet = "0x73b788882e1C182123333f42FFf275B7dd7f51bb";
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toolkit = "opencl";
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rig = "thor";
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pool = "eth-eu1.nanopool.org";
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stratumPort = 9999;
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registerMail = "";
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};
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# teamviewer.enable = true;
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};
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systemd.services.spark-history = {
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path = with pkgs; [ procps openssh nettools ];
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description = "spark history service.";
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after = [ "network.target" ];
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wantedBy = [ "multi-user.target" ];
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restartIfChanged = true;
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environment = {
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SPARK_CONF_DIR = sparkConfDir;
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SPARK_LOG_DIR = "/var/log/spark";
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};
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serviceConfig = {
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Type = "forking";
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User = "spark";
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Group = "spark";
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WorkingDirectory = "${pkgs.spark}/lib/${pkgs.spark.untarDir}";
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ExecStart = "${pkgs.spark}/lib/${pkgs.spark.untarDir}/sbin/start-history-server.sh";
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ExecStop = "${pkgs.spark}/lib/${pkgs.spark.untarDir}/sbin/stop-history-server.sh";
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TimeoutSec = 300;
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StartLimitBurst = 10;
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Restart = "always";
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};
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};
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services.teamviewer.enable = true;
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security = {
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pam.services."kde" = {
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enableKwallet = true;
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};
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rtkit.enable = true;
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sudo.extraConfig = ''
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Defaults pwfeedback
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@ -187,7 +320,8 @@
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allowUnfree = true;
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packageOverrides = pkgs: {
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steam = pkgs.steam.override {
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extraPkgs = pkgs: with pkgs; [ icu ];
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extraPkgs = pkgs: with pkgs; [ ];
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extraLibraries = pkgs: with pkgs; [ fontconfig.lib icu freetype ];
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};
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};
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# cudaSupport = true;
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31
spark_conf/fairscheduler.xml.template
Normal file
31
spark_conf/fairscheduler.xml.template
Normal file
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@ -0,0 +1,31 @@
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<?xml version="1.0"?>
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<!--
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Licensed to the Apache Software Foundation (ASF) under one or more
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contributor license agreements. See the NOTICE file distributed with
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this work for additional information regarding copyright ownership.
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The ASF licenses this file to You under the Apache License, Version 2.0
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(the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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-->
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<allocations>
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<pool name="production">
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<schedulingMode>FAIR</schedulingMode>
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<weight>1</weight>
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<minShare>2</minShare>
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</pool>
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<pool name="test">
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<schedulingMode>FIFO</schedulingMode>
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<weight>2</weight>
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<minShare>3</minShare>
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</pool>
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</allocations>
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46
spark_conf/log4j.properties
Normal file
46
spark_conf/log4j.properties
Normal file
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Set everything to be logged to the console
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log4j.rootCategory=INFO, console
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log4j.appender.console=org.apache.log4j.ConsoleAppender
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log4j.appender.console.target=System.err
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log4j.appender.console.layout=org.apache.log4j.PatternLayout
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log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n
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# Set the default spark-shell log level to WARN. When running the spark-shell, the
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# log level for this class is used to overwrite the root logger's log level, so that
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# the user can have different defaults for the shell and regular Spark apps.
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log4j.logger.org.apache.spark.repl.Main=WARN
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# Settings to quiet third party logs that are too verbose
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log4j.logger.org.sparkproject.jetty=WARN
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log4j.logger.org.sparkproject.jetty.util.component.AbstractLifeCycle=ERROR
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log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=INFO
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log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=INFO
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log4j.logger.org.apache.parquet=ERROR
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log4j.logger.parquet=ERROR
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# SPARK-9183: Settings to avoid annoying messages when looking up nonexistent UDFs in SparkSQL with Hive support
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log4j.logger.org.apache.hadoop.hive.metastore.RetryingHMSHandler=FATAL
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log4j.logger.org.apache.hadoop.hive.ql.exec.FunctionRegistry=ERROR
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# For deploying Spark ThriftServer
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# SPARK-34128：Suppress undesirable TTransportException warnings involved in THRIFT-4805
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log4j.appender.console.filter.1=org.apache.log4j.varia.StringMatchFilter
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log4j.appender.console.filter.1.StringToMatch=Thrift error occurred during processing of message
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log4j.appender.console.filter.1.AcceptOnMatch=false
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46
spark_conf/log4j.properties.template
Normal file
46
spark_conf/log4j.properties.template
Normal file
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@ -0,0 +1,46 @@
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Set everything to be logged to the console
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log4j.rootCategory=INFO, console
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log4j.appender.console=org.apache.log4j.ConsoleAppender
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log4j.appender.console.target=System.err
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log4j.appender.console.layout=org.apache.log4j.PatternLayout
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log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n
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# Set the default spark-shell log level to WARN. When running the spark-shell, the
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# log level for this class is used to overwrite the root logger's log level, so that
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# the user can have different defaults for the shell and regular Spark apps.
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log4j.logger.org.apache.spark.repl.Main=WARN
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# Settings to quiet third party logs that are too verbose
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log4j.logger.org.sparkproject.jetty=WARN
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log4j.logger.org.sparkproject.jetty.util.component.AbstractLifeCycle=ERROR
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log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=INFO
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log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=INFO
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log4j.logger.org.apache.parquet=ERROR
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log4j.logger.parquet=ERROR
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# SPARK-9183: Settings to avoid annoying messages when looking up nonexistent UDFs in SparkSQL with Hive support
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log4j.logger.org.apache.hadoop.hive.metastore.RetryingHMSHandler=FATAL
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log4j.logger.org.apache.hadoop.hive.ql.exec.FunctionRegistry=ERROR
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# For deploying Spark ThriftServer
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# SPARK-34128：Suppress undesirable TTransportException warnings involved in THRIFT-4805
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log4j.appender.console.filter.1=org.apache.log4j.varia.StringMatchFilter
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log4j.appender.console.filter.1.StringToMatch=Thrift error occurred during processing of message
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log4j.appender.console.filter.1.AcceptOnMatch=false
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210
spark_conf/metrics.properties.template
Normal file
210
spark_conf/metrics.properties.template
Normal file
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# syntax: [instance].sink|source.[name].[options]=[value]
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# This file configures Spark's internal metrics system. The metrics system is
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# divided into instances which correspond to internal components.
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# Each instance can be configured to report its metrics to one or more sinks.
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# Accepted values for [instance] are "master", "worker", "executor", "driver",
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# and "applications". A wildcard "*" can be used as an instance name, in
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# which case all instances will inherit the supplied property.
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#
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# Within an instance, a "source" specifies a particular set of grouped metrics.
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# there are two kinds of sources:
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# 1. Spark internal sources, like MasterSource, WorkerSource, etc, which will
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# collect a Spark component's internal state. Each instance is paired with a
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# Spark source that is added automatically.
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# 2. Common sources, like JvmSource, which will collect low level state.
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# These can be added through configuration options and are then loaded
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# using reflection.
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#
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# A "sink" specifies where metrics are delivered to. Each instance can be
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# assigned one or more sinks.
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#
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# The sink|source field specifies whether the property relates to a sink or
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# source.
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#
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# The [name] field specifies the name of source or sink.
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#
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# The [options] field is the specific property of this source or sink. The
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# source or sink is responsible for parsing this property.
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#
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# Notes:
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# 1. To add a new sink, set the "class" option to a fully qualified class
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# name (see examples below).
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# 2. Some sinks involve a polling period. The minimum allowed polling period
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# is 1 second.
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# 3. Wildcard properties can be overridden by more specific properties.
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# For example, master.sink.console.period takes precedence over
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# *.sink.console.period.
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# 4. A metrics specific configuration
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# "spark.metrics.conf=${SPARK_HOME}/conf/metrics.properties" should be
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# added to Java properties using -Dspark.metrics.conf=xxx if you want to
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# customize metrics system. You can also put the file in ${SPARK_HOME}/conf
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# and it will be loaded automatically.
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# 5. The MetricsServlet sink is added by default as a sink in the master,
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# worker and driver, and you can send HTTP requests to the "/metrics/json"
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# endpoint to get a snapshot of all the registered metrics in JSON format.
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# For master, requests to the "/metrics/master/json" and
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# "/metrics/applications/json" endpoints can be sent separately to get
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# metrics snapshots of the master instance and applications. This
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# MetricsServlet does not have to be configured.
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# 6. The metrics system can also be configured using Spark configuration
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# parameters. The relevant parameter names are formed by adding the
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# prefix "spark.metrics.conf." to the configuration entries detailed in
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# this file (see examples below).
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## List of available common sources and their properties.
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# org.apache.spark.metrics.source.JvmSource
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# Note: Currently, JvmSource is the only available common source.
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# It can be added to an instance by setting the "class" option to its
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# fully qualified class name (see examples below).
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## List of available sinks and their properties.
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# org.apache.spark.metrics.sink.ConsoleSink
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# Name: Default: Description:
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# period 10 Poll period
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# unit seconds Unit of the poll period
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# org.apache.spark.metrics.sink.CSVSink
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# Name: Default: Description:
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# period 10 Poll period
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# unit seconds Unit of the poll period
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# directory /tmp Where to store CSV files
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# org.apache.spark.metrics.sink.GangliaSink
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# Name: Default: Description:
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# host NONE Hostname or multicast group of the Ganglia server,
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# must be set
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# port NONE Port of the Ganglia server(s), must be set
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# period 10 Poll period
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# unit seconds Unit of the poll period
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# ttl 1 TTL of messages sent by Ganglia
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# dmax 0 Lifetime in seconds of metrics (0 never expired)
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# mode multicast Ganglia network mode ('unicast' or 'multicast')
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# org.apache.spark.metrics.sink.JmxSink
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# org.apache.spark.metrics.sink.MetricsServlet
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# Name: Default: Description:
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# path VARIES* Path prefix from the web server root
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# sample false Whether to show entire set of samples for histograms
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# ('false' or 'true')
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#
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# * Default path is /metrics/json for all instances except the master. The
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# master has two paths:
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# /metrics/applications/json # App information
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# /metrics/master/json # Master information
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# org.apache.spark.metrics.sink.PrometheusServlet
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# Name: Default: Description:
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# path VARIES* Path prefix from the web server root
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#
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# * Default path is /metrics/prometheus for all instances except the master. The
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# master has two paths:
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||||
# /metrics/applications/prometheus # App information
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||||
# /metrics/master/prometheus # Master information
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||||
|
||||
# org.apache.spark.metrics.sink.GraphiteSink
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||||
# Name: Default: Description:
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# host NONE Hostname of the Graphite server, must be set
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||||
# 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
|
||||
39
spark_conf/spark-defaults.conf
Normal file
39
spark_conf/spark-defaults.conf
Normal file
|
|
@ -0,0 +1,39 @@
|
|||
#
|
||||
# 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
|
||||
|
||||
|
||||
#
|
||||
#
|
||||
27
spark_conf/spark-defaults.conf.template
Normal file
27
spark_conf/spark-defaults.conf.template
Normal file
|
|
@ -0,0 +1,27 @@
|
|||
#
|
||||
# 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
7
spark_conf/spark-env.sh
Normal file
|
|
@ -0,0 +1,7 @@
|
|||
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"
|
||||
73
spark_conf/spark-env.sh.template
Executable file
73
spark_conf/spark-env.sh.template
Executable file
|
|
@ -0,0 +1,73 @@
|
|||
#!/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
|
||||
19
spark_conf/workers.template
Normal file
19
spark_conf/workers.template
Normal file
|
|
@ -0,0 +1,19 @@
|
|||
#
|
||||
# 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.
|
||||
#
|
||||
|
||||
# A Spark Worker will be started on each of the machines listed below.
|
||||
localhost
|
||||
Loading…
Add table
Add a link
Reference in a new issue