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| author | Patrick Wendell <pwendell@apache.org> | 2014-05-30 08:55:36 +0000 |
|---|---|---|
| committer | Patrick Wendell <pwendell@apache.org> | 2014-05-30 08:55:36 +0000 |
| commit | 66fb4b11cbae79d9044b2bbf2e53351642a58ff5 (patch) | |
| tree | 2a3238ae425816d2296c2972987e56b3e949ea0b /site/docs/1.0.0/index.html | |
| parent | 3936fd5d223549bfa06bd6eeba6becfc88daee52 (diff) | |
| download | spark-website-66fb4b11cbae79d9044b2bbf2e53351642a58ff5.tar.gz spark-website-66fb4b11cbae79d9044b2bbf2e53351642a58ff5.tar.bz2 spark-website-66fb4b11cbae79d9044b2bbf2e53351642a58ff5.zip | |
Docs for Spark 1.0.0
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| -rw-r--r-- | site/docs/1.0.0/index.html | 283 |
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diff --git a/site/docs/1.0.0/index.html b/site/docs/1.0.0/index.html new file mode 100644 index 000000000..00d836871 --- /dev/null +++ b/site/docs/1.0.0/index.html @@ -0,0 +1,283 @@ +<!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>Spark Overview - Spark 1.0.0 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"> + + + + </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">1.0.0</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">v1.0.0</span></p>--> + </div> + </div> + </div> + + <div class="container" id="content"> + + <h1 class="title">Spark Overview</h1> + + + <p>Apache Spark is a fast and general-purpose cluster computing system. +It provides high-level APIs in Java, Scala and Python, +and an optimized engine that supports general execution graphs. +It also supports a rich set of higher-level tools including <a href="http://shark.cs.berkeley.edu">Shark</a> (Hive on Spark), <a href="sql-programming-guide.html">Spark SQL</a> for structured data, <a href="mllib-guide.html">MLlib</a> for machine learning, <a href="graphx-programming-guide.html">GraphX</a> for graph processing, and <a href="streaming-programming-guide.html">Spark Streaming</a>.</p> + +<h1 id="downloading">Downloading</h1> + +<p>Get Spark from the <a href="http://spark.apache.org/downloads.html">downloads page</a> of the project website. This documentation is for Spark version 1.0.0. The downloads page +contains Spark packages for many popular HDFS versions. If you’d like to build Spark from +scratch, visit <a href="building-with-maven.html">building Spark with Maven</a>.</p> + +<p>Spark runs on both Windows and UNIX-like systems (e.g. Linux, Mac OS). It’s easy to run +locally on one machine — all you need is to have <code>java</code> installed on your system <code>PATH</code>, +or the <code>JAVA_HOME</code> environment variable pointing to a Java installation.</p> + +<p>Spark runs on Java 6+ and Python 2.6+. For the Scala API, Spark 1.0.0 uses +Scala 2.10. You will need to use a compatible Scala version +(2.10.x).</p> + +<h1 id="running-the-examples-and-shell">Running the Examples and Shell</h1> + +<p>Spark comes with several sample programs. Scala, Java and Python examples are in the +<code>examples/src/main</code> directory. To run one of the Java or Scala sample programs, use +<code>bin/run-example <class> [params]</code> in the top-level Spark directory. (Behind the scenes, this +invokes the more general +<a href="submitting-applications.html"><code>spark-submit</code> script</a> for +launching applications). For example,</p> + +<pre><code>./bin/run-example SparkPi 10 +</code></pre> + +<p>You can also run Spark interactively through a modified version of the Scala shell. This is a +great way to learn the framework.</p> + +<pre><code>./bin/spark-shell --master local[2] +</code></pre> + +<p>The <code>--master</code> option specifies the +<a href="submitting-applications.html#master-urls">master URL for a distributed cluster</a>, or <code>local</code> to run +locally with one thread, or <code>local[N]</code> to run locally with N threads. You should start by using +<code>local</code> for testing. For a full list of options, run Spark shell with the <code>--help</code> option.</p> + +<p>Spark also provides a Python API. To run Spark interactively in a Python interpreter, use +<code>bin/pyspark</code>:</p> + +<pre><code>./bin/pyspark --master local[2] +</code></pre> + +<p>Example applications are also provided in Python. For example,</p> + +<pre><code>./bin/spark-submit examples/src/main/python/pi.py 10 +</code></pre> + +<h1 id="launching-on-a-cluster">Launching on a Cluster</h1> + +<p>The Spark <a href="cluster-overview.html">cluster mode overview</a> explains the key concepts in running on a cluster. +Spark can run both by itself, or over several existing cluster managers. It currently provides several +options for deployment:</p> + +<ul> + <li><a href="ec2-scripts.html">Amazon EC2</a>: our EC2 scripts let you launch a cluster in about 5 minutes</li> + <li><a href="spark-standalone.html">Standalone Deploy Mode</a>: simplest way to deploy Spark on a private cluster</li> + <li><a href="running-on-mesos.html">Apache Mesos</a></li> + <li><a href="running-on-yarn.html">Hadoop YARN</a></li> +</ul> + +<h1 id="where-to-go-from-here">Where to Go from Here</h1> + +<p><strong>Programming Guides:</strong></p> + +<ul> + <li><a href="quick-start.html">Quick Start</a>: a quick introduction to the Spark API; start here!</li> + <li><a href="programming-guide.html">Spark Programming Guide</a>: detailed overview of Spark +in all supported languages (Scala, Java, Python)</li> + <li>Modules built on Spark: + <ul> + <li><a href="streaming-programming-guide.html">Spark Streaming</a>: processing real-time data streams</li> + <li><a href="sql-programming-guide.html">Spark SQL</a>: support for structured data and relational queries</li> + <li><a href="mllib-guide.html">MLlib</a>: built-in machine learning library</li> + <li><a href="graphx-programming-guide.html">GraphX</a>: Spark’s new API for graph processing</li> + <li><a href="bagel-programming-guide.html">Bagel (Pregel on Spark)</a>: older, simple graph processing model</li> + </ul> + </li> +</ul> + +<p><strong>API Docs:</strong></p> + +<ul> + <li><a href="api/scala/index.html#org.apache.spark.package">Spark Scala API (Scaladoc)</a></li> + <li><a href="api/java/index.html">Spark Java API (Javadoc)</a></li> + <li><a href="api/python/index.html">Spark Python API (Epydoc)</a></li> +</ul> + +<p><strong>Deployment Guides:</strong></p> + +<ul> + <li><a href="cluster-overview.html">Cluster Overview</a>: overview of concepts and components when running on a cluster</li> + <li><a href="submitting-applications.html">Submitting Applications</a>: packaging and deploying applications</li> + <li>Deployment modes: + <ul> + <li><a href="ec2-scripts.html">Amazon EC2</a>: scripts that let you launch a cluster on EC2 in about 5 minutes</li> + <li><a href="spark-standalone.html">Standalone Deploy Mode</a>: launch a standalone cluster quickly without a third-party cluster manager</li> + <li><a href="running-on-mesos.html">Mesos</a>: deploy a private cluster using + <a href="http://mesos.apache.org">Apache Mesos</a></li> + <li><a href="running-on-yarn.html">YARN</a>: deploy Spark on top of Hadoop NextGen (YARN)</li> + </ul> + </li> +</ul> + +<p><strong>Other Documents:</strong></p> + +<ul> + <li><a href="configuration.html">Configuration</a>: customize Spark via its configuration system</li> + <li><a href="monitoring.html">Monitoring</a>: track the behavior of your applications</li> + <li><a href="tuning.html">Tuning Guide</a>: best practices to optimize performance and memory use</li> + <li><a href="job-scheduling.html">Job Scheduling</a>: scheduling resources across and within Spark applications</li> + <li><a href="security.html">Security</a>: Spark security support</li> + <li><a href="hardware-provisioning.html">Hardware Provisioning</a>: recommendations for cluster hardware</li> + <li><a href="hadoop-third-party-distributions.html">3<sup>rd</sup> Party Hadoop Distributions</a>: using common Hadoop distributions</li> + <li><a href="building-with-maven.html">Building Spark with Maven</a>: build Spark using the Maven system</li> + <li><a href="https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark">Contributing to Spark</a></li> +</ul> + +<p><strong>External Resources:</strong></p> + +<ul> + <li><a href="http://spark.apache.org">Spark Homepage</a></li> + <li><a href="http://shark.cs.berkeley.edu">Shark</a>: Apache Hive over Spark</li> + <li><a href="http://spark.apache.org/mailing-lists.html">Mailing Lists</a>: ask questions about Spark here</li> + <li><a href="http://ampcamp.berkeley.edu/">AMP Camps</a>: a series of training camps at UC Berkeley that featured talks and +exercises about Spark, Shark, Spark Streaming, Mesos, and more. <a href="http://ampcamp.berkeley.edu/3/">Videos</a>, +<a href="http://ampcamp.berkeley.edu/3/">slides</a> and <a href="http://ampcamp.berkeley.edu/3/exercises/">exercises</a> are +available online for free.</li> + <li><a href="http://spark.apache.org/examples.html">Code Examples</a>: more are also available in the <code>examples</code> subfolder of Spark (<a href="https://github.com/apache/spark/tree/master/examples/src/main/scala/org/apache/spark/examples">Scala</a>, + <a href="https://github.com/apache/spark/tree/master/examples/src/main/java/org/apache/spark/examples">Java</a>, + <a href="https://github.com/apache/spark/tree/master/examples/src/main/python">Python</a>)</li> +</ul> + +<h1 id="community">Community</h1> + +<p>To get help using Spark or keep up with Spark development, sign up for the <a href="http://spark.apache.org/mailing-lists.html">user mailing list</a>.</p> + +<p>If you’re in the San Francisco Bay Area, there’s a regular <a href="http://www.meetup.com/spark-users/">Spark meetup</a> every few weeks. Come by to meet the developers and other users.</p> + +<p>Finally, if you’d like to contribute code to Spark, read <a href="contributing-to-spark.html">how to contribute</a>.</p> + + + </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 type="text/javascript" + src="http://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script> + <script> + MathJax.Hub.Config({ + tex2jax: { + inlineMath: [ ["$", "$"], ["\\\\(","\\\\)"] ], + displayMath: [ ["$$","$$"], ["\\[", "\\]"] ], + processEscapes: true, + skipTags: ['script', 'noscript', 'style', 'textarea', 'pre'] + } + }); + </script> + </body> +</html> |