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| author | Patrick Wendell <pwendell@apache.org> | 2014-07-11 17:23:23 +0000 |
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| committer | Patrick Wendell <pwendell@apache.org> | 2014-07-11 17:23:23 +0000 |
| commit | 0beac4e243f85e71554fe04093b09eb1745fea82 (patch) | |
| tree | bc20d10426c5d57e2f189305865dc2bbec447923 /site/docs/1.0.1/cluster-overview.html | |
| parent | ddec2123ba6ab95543d1b250d4f20fb811c48f09 (diff) | |
| download | spark-website-0beac4e243f85e71554fe04093b09eb1745fea82.tar.gz spark-website-0beac4e243f85e71554fe04093b09eb1745fea82.tar.bz2 spark-website-0beac4e243f85e71554fe04093b09eb1745fea82.zip | |
Updating docs for 1.0.1 release
Diffstat (limited to 'site/docs/1.0.1/cluster-overview.html')
| -rw-r--r-- | site/docs/1.0.1/cluster-overview.html | 290 |
1 files changed, 290 insertions, 0 deletions
diff --git a/site/docs/1.0.1/cluster-overview.html b/site/docs/1.0.1/cluster-overview.html new file mode 100644 index 000000000..0a2d43216 --- /dev/null +++ b/site/docs/1.0.1/cluster-overview.html @@ -0,0 +1,290 @@ +<!DOCTYPE html> +<!--[if lt IE 7]> <html class="no-js lt-ie9 lt-ie8 lt-ie7"> <![endif]--> +<!--[if IE 7]> <html class="no-js lt-ie9 lt-ie8"> <![endif]--> +<!--[if IE 8]> <html class="no-js lt-ie9"> <![endif]--> +<!--[if gt IE 8]><!--> <html class="no-js"> <!--<![endif]--> + <head> + <meta charset="utf-8"> + <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"> + <title>Cluster Mode Overview - Spark 1.0.1 Documentation</title> + <meta name="description" content=""> + + + + <link rel="stylesheet" href="css/bootstrap.min.css"> + <style> + body { + padding-top: 60px; + padding-bottom: 40px; + } + </style> + <meta name="viewport" content="width=device-width"> + <link rel="stylesheet" href="css/bootstrap-responsive.min.css"> + <link rel="stylesheet" href="css/main.css"> + + <script src="js/vendor/modernizr-2.6.1-respond-1.1.0.min.js"></script> + + <link rel="stylesheet" href="css/pygments-default.css"> + + + <!-- Google analytics script --> + <script type="text/javascript"> + var _gaq = _gaq || []; + _gaq.push(['_setAccount', 'UA-32518208-1']); + _gaq.push(['_trackPageview']); + + (function() { + var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; + ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; + var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); + })(); + </script> + + + </head> + <body> + <!--[if lt IE 7]> + <p class="chromeframe">You are using an outdated browser. <a href="http://browsehappy.com/">Upgrade your browser today</a> or <a href="http://www.google.com/chromeframe/?redirect=true">install Google Chrome Frame</a> to better experience this site.</p> + <![endif]--> + + <!-- This code is taken from http://twitter.github.com/bootstrap/examples/hero.html --> + + <div class="navbar navbar-fixed-top" id="topbar"> + <div class="navbar-inner"> + <div class="container"> + <div class="brand"><a href="index.html"> + <img src="img/spark-logo-hd.png" style="height:50px;"/></a><span class="version">1.0.1</span> + </div> + <ul class="nav"> + <!--TODO(andyk): Add class="active" attribute to li some how.--> + <li><a href="index.html">Overview</a></li> + + <li class="dropdown"> + <a href="#" class="dropdown-toggle" data-toggle="dropdown">Programming Guides<b class="caret"></b></a> + <ul class="dropdown-menu"> + <li><a href="quick-start.html">Quick Start</a></li> + <li><a href="programming-guide.html">Spark Programming Guide</a></li> + <li class="divider"></li> + <li><a href="streaming-programming-guide.html">Spark Streaming</a></li> + <li><a href="sql-programming-guide.html">Spark SQL</a></li> + <li><a href="mllib-guide.html">MLlib (Machine Learning)</a></li> + <li><a href="graphx-programming-guide.html">GraphX (Graph Processing)</a></li> + <li><a href="bagel-programming-guide.html">Bagel (Pregel on Spark)</a></li> + </ul> + </li> + + <li class="dropdown"> + <a href="#" class="dropdown-toggle" data-toggle="dropdown">API Docs<b class="caret"></b></a> + <ul class="dropdown-menu"> + <li><a href="api/scala/index.html#org.apache.spark.package">Scaladoc</a></li> + <li><a href="api/java/index.html">Javadoc</a></li> + <li><a href="api/python/index.html">Python API</a></li> + </ul> + </li> + + <li class="dropdown"> + <a href="#" class="dropdown-toggle" data-toggle="dropdown">Deploying<b class="caret"></b></a> + <ul class="dropdown-menu"> + <li><a href="cluster-overview.html">Overview</a></li> + <li><a href="submitting-applications.html">Submitting Applications</a></li> + <li class="divider"></li> + <li><a href="ec2-scripts.html">Amazon EC2</a></li> + <li><a href="spark-standalone.html">Standalone Mode</a></li> + <li><a href="running-on-mesos.html">Mesos</a></li> + <li><a href="running-on-yarn.html">YARN</a></li> + </ul> + </li> + + <li class="dropdown"> + <a href="api.html" class="dropdown-toggle" data-toggle="dropdown">More<b class="caret"></b></a> + <ul class="dropdown-menu"> + <li><a href="configuration.html">Configuration</a></li> + <li><a href="monitoring.html">Monitoring</a></li> + <li><a href="tuning.html">Tuning Guide</a></li> + <li><a href="job-scheduling.html">Job Scheduling</a></li> + <li><a href="security.html">Security</a></li> + <li><a href="hardware-provisioning.html">Hardware Provisioning</a></li> + <li><a href="hadoop-third-party-distributions.html">3<sup>rd</sup>-Party Hadoop Distros</a></li> + <li class="divider"></li> + <li><a href="building-with-maven.html">Building Spark with Maven</a></li> + <li><a href="https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark">Contributing to Spark</a></li> + </ul> + </li> + </ul> + <!--<p class="navbar-text pull-right"><span class="version-text">v1.0.1</span></p>--> + </div> + </div> + </div> + + <div class="container" id="content"> + + <h1 class="title">Cluster Mode Overview</h1> + + + <p>This document gives a short overview of how Spark runs on clusters, to make it easier to understand +the components involved. Read through the <a href="submitting-applications.html">application submission guide</a> +to submit applications to a cluster.</p> + +<h1 id="components">Components</h1> + +<p>Spark applications run as independent sets of processes on a cluster, coordinated by the SparkContext +object in your main program (called the <em>driver program</em>). +Specifically, to run on a cluster, the SparkContext can connect to several types of <em>cluster managers</em> +(either Spark’s own standalone cluster manager or Mesos/YARN), which allocate resources across +applications. Once connected, Spark acquires <em>executors</em> on nodes in the cluster, which are +processes that run computations and store data for your application. +Next, it sends your application code (defined by JAR or Python files passed to SparkContext) to +the executors. Finally, SparkContext sends <em>tasks</em> for the executors to run.</p> + +<p style="text-align: center;"> + <img src="img/cluster-overview.png" title="Spark cluster components" alt="Spark cluster components" /> +</p> + +<p>There are several useful things to note about this architecture:</p> + +<ol> + <li>Each application gets its own executor processes, which stay up for the duration of the whole +application and run tasks in multiple threads. This has the benefit of isolating applications +from each other, on both the scheduling side (each driver schedules its own tasks) and executor +side (tasks from different applications run in different JVMs). However, it also means that +data cannot be shared across different Spark applications (instances of SparkContext) without +writing it to an external storage system.</li> + <li>Spark is agnostic to the underlying cluster manager. As long as it can acquire executor +processes, and these communicate with each other, it is relatively easy to run it even on a +cluster manager that also supports other applications (e.g. Mesos/YARN).</li> + <li>Because the driver schedules tasks on the cluster, it should be run close to the worker +nodes, preferably on the same local area network. If you’d like to send requests to the +cluster remotely, it’s better to open an RPC to the driver and have it submit operations +from nearby than to run a driver far away from the worker nodes.</li> +</ol> + +<h1 id="cluster-manager-types">Cluster Manager Types</h1> + +<p>The system currently supports three cluster managers:</p> + +<ul> + <li><a href="spark-standalone.html">Standalone</a> – a simple cluster manager included with Spark that makes it +easy to set up a cluster.</li> + <li><a href="running-on-mesos.html">Apache Mesos</a> – a general cluster manager that can also run Hadoop MapReduce +and service applications.</li> + <li><a href="running-on-yarn.html">Hadoop YARN</a> – the resource manager in Hadoop 2.</li> +</ul> + +<p>In addition, Spark’s <a href="ec2-scripts.html">EC2 launch scripts</a> make it easy to launch a standalone +cluster on Amazon EC2.</p> + +<h1 id="submitting-applications">Submitting Applications</h1> + +<p>Applications can be submitted to a cluster of any type using the <code>spark-submit</code> script. +The <a href="submitting-applications.html">application submission guide</a> describes how to do this.</p> + +<h1 id="monitoring">Monitoring</h1> + +<p>Each driver program has a web UI, typically on port 4040, that displays information about running +tasks, executors, and storage usage. Simply go to <code>http://<driver-node>:4040</code> in a web browser to +access this UI. The <a href="monitoring.html">monitoring guide</a> also describes other monitoring options.</p> + +<h1 id="job-scheduling">Job Scheduling</h1> + +<p>Spark gives control over resource allocation both <em>across</em> applications (at the level of the cluster +manager) and <em>within</em> applications (if multiple computations are happening on the same SparkContext). +The <a href="job-scheduling.html">job scheduling overview</a> describes this in more detail.</p> + +<h1 id="glossary">Glossary</h1> + +<p>The following table summarizes terms you’ll see used to refer to cluster concepts:</p> + +<table class="table"> + <thead> + <tr><th style="width: 130px;">Term</th><th>Meaning</th></tr> + </thead> + <tbody> + <tr> + <td>Application</td> + <td>User program built on Spark. Consists of a <em>driver program</em> and <em>executors</em> on the cluster.</td> + </tr> + <tr> + <td>Application jar</td> + <td> + A jar containing the user's Spark application. In some cases users will want to create + an "uber jar" containing their application along with its dependencies. The user's jar + should never include Hadoop or Spark libraries, however, these will be added at runtime. + </td> + </tr> + <tr> + <td>Driver program</td> + <td>The process running the main() function of the application and creating the SparkContext</td> + </tr> + <tr> + <td>Cluster manager</td> + <td>An external service for acquiring resources on the cluster (e.g. standalone manager, Mesos, YARN)</td> + </tr> + <tr> + <td>Deploy mode</td> + <td>Distinguishes where the driver process runs. In "cluster" mode, the framework launches + the driver inside of the cluster. In "client" mode, the submitter launches the driver + outside of the cluster.</td> + </tr> + <tr> + <td>Worker node</td> + <td>Any node that can run application code in the cluster</td> + </tr> + <tr> + <td>Executor</td> + <td>A process launched for an application on a worker node, that runs tasks and keeps data in memory + or disk storage across them. Each application has its own executors.</td> + </tr> + <tr> + <td>Task</td> + <td>A unit of work that will be sent to one executor</td> + </tr> + <tr> + <td>Job</td> + <td>A parallel computation consisting of multiple tasks that gets spawned in response to a Spark action + (e.g. <code>save</code>, <code>collect</code>); you'll see this term used in the driver's logs.</td> + </tr> + <tr> + <td>Stage</td> + <td>Each job gets divided into smaller sets of tasks called <em>stages</em> that depend on each other + (similar to the map and reduce stages in MapReduce); you'll see this term used in the driver's logs.</td> + </tr> + </tbody> +</table> + + + </div> <!-- /container --> + + <script src="js/vendor/jquery-1.8.0.min.js"></script> + <script src="js/vendor/bootstrap.min.js"></script> + <script src="js/main.js"></script> + + <!-- MathJax Section --> + <script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + TeX: { equationNumbers: { autoNumber: "AMS" } } + }); + </script> + <script> + // Note that we load MathJax this way to work with local file (file://), HTTP and HTTPS. + // We could use "//cdn.mathjax...", but that won't support "file://". + (function(d, script) { + script = d.createElement('script'); + script.type = 'text/javascript'; + script.async = true; + script.onload = function(){ + MathJax.Hub.Config({ + tex2jax: { + inlineMath: [ ["$", "$"], ["\\\\(","\\\\)"] ], + displayMath: [ ["$$","$$"], ["\\[", "\\]"] ], + processEscapes: true, + skipTags: ['script', 'noscript', 'style', 'textarea', 'pre'] + } + }); + }; + script.src = ('https:' == document.location.protocol ? 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