http://git-wip-us.apache.org/repos/asf/flink-web/blob/24f3ba5a/content/news/2014/01/12/0.4-migration-guide.html
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-      <h1>Stratosphere Version 0.4 Migration Guide</h1>
-
-      <article>
-        <p>12 Jan 2014</p>
-
-<p>This guide is intended to help users of previous Stratosphere versions to 
migrate their programs to the new API of v0.4.</p>
-
-<p>Version <code>0.4-rc1</code>, <code>0.4</code> and all newer versions have 
the new API. If you want to have the most recent version before the code 
change, please set the version to <code>0.4-alpha.3-SNAPSHOT</code>. (Note that 
the <code>0.4-alpha</code> versions are only available in the snapshot 
repository).</p>
-
-<h4 id="maven-dependencies">Maven Dependencies</h4>
-<p>Since we also reorganized the Maven project structure, existing programs 
need to update the Maven dependencies to <code>stratosphere-java</code> (and 
<code>stratosphere-clients</code>, for examples and executors).</p>
-
-<p>The typical set of Maven dependencies for Stratosphere Java programs is:</p>
-
-<div class="highlight"><pre><code class="language-diff">       
&lt;groupId&gt;eu.stratosphere&lt;/groupId&gt;
-<span class="gd">-      &lt;artifactId&gt;pact-common&lt;/artifactId&gt;</span>
-<span class="gd">-      &lt;version&gt;0.4-SNAPSHOT&lt;/version&gt;</span>
-<span class="gi">+      
&lt;artifactId&gt;stratosphere-java&lt;/artifactId&gt;</span>
-<span class="gi">+      &lt;version&gt;0.4&lt;/version&gt;</span>
-
-<span class="gd">-      
&lt;artifactId&gt;pact-clients&lt;/artifactId&gt;</span>
-<span class="gd">-      &lt;version&gt;0.4-SNAPSHOT&lt;/version&gt;</span>
-<span class="gi">+      
&lt;artifactId&gt;stratosphere-clients&lt;/artifactId&gt;</span>
-<span class="gi">+      
&lt;version&gt;0.4&lt;/version&gt;</span></code></pre></div>
-
-<h4 id="renamed-classes">Renamed classes</h4>
-
-<p>We renamed many of the most commonly used classes to make their names more 
intuitive:</p>
-
-<table class="table table-striped">
-  <thead>
-       <tr>
-       <th>Old Name (before <code>0.4</code>)</th>
-       <th>New Name (<code>0.4</code> and after)</th>
-  </tr>
-  </thead>
-       <tbody>
-         <tr>
-               <td>Contract</td>
-               <td>Operator</td>
-         </tr>
-         <tr>
-               <td>MatchContract</td>
-               <td>JoinOperator</td>
-         </tr>
-
-                 <tr>
-               <td>[Map, Reduce, ...]Stub</td>
-               <td>[Map, Reduce, ...]Function</td>
-         </tr>
-                 <tr>
-               <td>MatchStub</td>
-               <td>JoinFunction</td>
-         </tr>
-                 <tr>
-               <td>Pact[Integer, Double, ...]</td>
-               <td>IntValue, DoubleValue, ...</td>
-         </tr>   
-         <tr>
-               <td>PactRecord</td>
-               <td>Record</td>
-         </tr>
-                 <tr>
-               <td>PlanAssembler</td>
-               <td>Program</td>
-         </tr>
-                 <tr>
-               <td>PlanAssemblerDescription</td>
-               <td>ProgramDescription</td>
-         </tr>
-                 <tr>
-               <td>RecordOutputFormat</td>
-               <td>CsvOutputFormat</td>
-         </tr>
-       </tbody>
-</table>
-
-<p>Package names have been adapted as well.
-For a complete overview of the renamings, have a look at <a 
href="https://github.com/stratosphere/stratosphere/issues/257";>issue #257 on 
GitHub</a>.</p>
-
-<p>We suggest for Eclipse user adjust the programs as follows: Delete all old 
Stratosphere imports, then rename the the classes (<code>PactRecord</code> to 
<code>Record</code> and so on). Finally, use the “Organize Imports” 
function (<code>CTRL+SHIFT+O</code>) to choose the right imports. The names 
should be unique so always pick the classes that are in the 
<code>eu.stratosphere</code> package.</p>
-
-<p>Please contact us in the comments below, on the mailing list or on GitHub 
if you have any issues migrating to the latest Stratosphere release.</p>
-
-      </article>
-    </div>
-
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-
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-
-      <article>
-        <p>13 Jan 2014</p>
-
-<p>We are pleased to announce that version 0.4 of the Stratosphere system has 
been released. </p>
-
-<p>Our team has been working hard during the last few months to create an 
improved and stable Stratosphere version. The new version comes with many new 
features, usability and performance improvements in all levels, including a new 
Scala API for the concise specification of programs, a Pregel-like API, support 
for Yarn clusters, and major performance improvements. The system features now 
first-class support for iterative programs and thus covers traditional 
analytical use cases as well as data mining and graph processing use cases with 
great performance.</p>
-
-<p>In the course of the transition from v0.2 to v0.4 of the system, we have 
changed pre-existing APIs based on valuable user feedback. This means that, in 
the interest of easier programming, we have broken backwards compatibility and 
existing jobs must be adapted, as described in <a 
href="/blog/tutorial/2014/01/12/0.4-migration-guide.html">the migration 
guide</a>.</p>
-
-<p>This article will guide you through the feature list of the new release.</p>
-
-<h3 id="scala-programming-interface">Scala Programming Interface</h3>
-<p>The new Stratosphere version comes with a new programming API in Scala that 
supports very fluent and efficient programs that can be expressed with very few 
lines of code. The API uses Scala’s native type system (no special boxed data 
types) and supports grouping and joining on types beyond key/value pairs. We 
use code analysis and code generation to transform Scala’s data model to the 
Stratosphere runtime. Stratosphere Scala programs are optimized before 
execution by Stratosphere’s optimizer just like Stratosphere Java 
programs.</p>
-
-<p>Learn more about the Scala API at the <a 
href="/docs/0.4/programming_guides/scala.html">Scala Programming Guide</a></p>
-
-<h3 id="iterations">Iterations</h3>
-<p>Stratosphere v0.4 introduces deep support for iterative algorithms, 
required by a large class of advanced analysis algorithms. In contrast to most 
other systems, “looping over the data” is done inside the system’s 
runtime, rather than in the client. Individual iterations (supersteps) can be 
as fast as sub-second times. Loop-invariant data is automatically cached in 
memory.</p>
-
-<p>We support a special form of iterations called “delta iterations” that 
selectively modify only some elements of intermediate solution in each 
iteration. These are applicable to a variety of applications, e.g., use cases 
of Apache Giraph. We have observed speedups of 70x when using delta iterations 
instead of regular iterations.</p>
-
-<p>Read more about the new iteration feature in <a 
href="/docs/0.4/programming_guides/iterations.html">the documentation</a></p>
-
-<h3 id="hadoop-yarn-support">Hadoop YARN Support</h3>
-<p>YARN (Yet Another Resource Negotiator) is the major new feature of the 
recently announced <a href="http://hadoop.apache.org/docs/r2.2.0/";>Hadoop 
2.2</a>. It allows to share existing clusters with different runtimes. So you 
can run MapReduce alongside Storm and others. With the 0.4 release, 
Stratosphere supports YARN.
-Follow <a href="/docs/0.4/setup/yarn.html">our guide</a> on how to start a 
Stratosphere YARN session.</p>
-
-<h3 id="improved-scripting-language-meteor">Improved Scripting Language 
Meteor</h3>
-<p>The high-level language Meteor now natively serializes JSON trees for 
greater performance and offers additional operators and file formats. We 
greatly empowered the user to write crispier scripts by adding second-order 
functions, multi-output operators, and other syntactical sugar. For developers 
of Meteor packages, the API is much more comprehensive and allows to define 
custom data types that can be easily embedded in JSON trees through ad-hoc byte 
code generation.</p>
-
-<h3 id="spargel-pregel-inspired-graph-processing">Spargel: Pregel Inspired 
Graph Processing</h3>
-<p>Spargel is a vertex-centric API similar to the interface proposed in 
Google’s Pregel paper and implemented in Apache Giraph. Spargel is 
implemented in 500 lines of code (including comments) on top of 
Stratosphere’s delta iterations feature. This confirms the flexibility of 
Stratosphere’s architecture. </p>
-
-<h3 id="web-frontend">Web Frontend</h3>
-<p>Using the new web frontend, you can monitor the progress of Stratosphere 
jobs. For finished jobs, the frontend shows a breakdown of the execution times 
for each operator. The webclient also visualizes the execution strategies 
chosen by the optimizer.</p>
-
-<h3 id="accumulators">Accumulators</h3>
-<p>Stratosphere’s accumulators allow program developers to compute simple 
statistics, such as counts, sums, min/max values, or histograms, as a side 
effect of the processing functions. An example application would be to count 
the total number of records/tuples processed by a function. Stratosphere will 
not launch additional tasks (reducers), but will compute the number “on the 
fly” as a side-product of the functions application to the data. The concept 
is similar to Hadoop’s counters, but supports more types of aggregation.</p>
-
-<h3 id="refactored-apis">Refactored APIs</h3>
-<p>Based on valuable user feedback, we refactored the Java programming 
interface to make it more intuitive and easier to use. The basic concepts are 
still the same, however the naming of most interfaces changed and the structure 
of the code was adapted. When updating to the 0.4 release you will need to 
adapt your jobs and dependencies. A previous blog post has a guide to the 
necessary changes to adapt programs to Stratosphere 0.4.</p>
-
-<h3 id="local-debugging">Local Debugging</h3>
-<p>You can now test and debug Stratosphere jobs locally. The <a 
href="/docs/0.4/program_execution/local_executor.html">LocalExecutor</a> allows 
to execute Stratosphere Jobs from IDE’s. The same code that runs on clusters 
also runs in a single JVM multi-threaded. The mode supports full debugging 
capabilities known from regular applications (placing breakpoints and stepping 
through the program’s functions). An advanced mode supports simulating fully 
distributed operation locally.</p>
-
-<h3 id="miscellaneous">Miscellaneous</h3>
-
-<ul>
-  <li>The configuration of Stratosphere has been changed to YAML</li>
-  <li>HBase support</li>
-  <li>JDBC Input format</li>
-  <li>Improved Windows Compatibility: Batch-files to start Stratosphere on 
Windows and all unit tests passing on Windows.</li>
-  <li>Stratosphere is available in Maven Central and Sonatype Snapshot 
Repository</li>
-  <li>Improved build system that supports different Hadoop versions using 
Maven profiles</li>
-  <li>Maven Archetypes for Stratosphere Jobs.</li>
-  <li>Stability and Usability improvements with many bug fixes.</li>
-</ul>
-
-<h3 id="download-and-get-started-with-stratosphere-v04">Download and get 
started with Stratosphere v0.4</h3>
-<p>There are several options for getting started with Stratosphere. </p>
-
-<ul>
-  <li>Download it on the <a href="/downloads">download page</a></li>
-  <li>Start your program with the <a href="/quickstart/">Quick-start 
guides</a>.</li>
-  <li>Complete <a href="/docs/0.4/">documentation and set-up guides</a></li>
-</ul>
-
-<h3 id="tell-us-what-you-think">Tell us what you think!</h3>
-<p>Are you using, or planning to use Stratosphere? Sign up in our <a 
href="https://groups.google.com/forum/#!forum/stratosphere-dev";>mailing 
list</a> and drop us a line.</p>
-
-<p>Have you found a bug? <a 
href="https://github.com/stratosphere/stratosphere";>Post an issue</a> on 
GitHub.</p>
-
-<p>Follow us on <a href="https://twitter.com/stratosphere_eu";>Twitter</a> and 
<a href="https://github.com/stratosphere/stratosphere";>GitHub</a> to stay in 
touch with the latest news!</p>
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http://git-wip-us.apache.org/repos/asf/flink-web/blob/24f3ba5a/content/news/2014/01/26/optimizer_plan_visualization_tool.html
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-      <h1>Optimizer Plan Visualization Tool</h1>
-
-      <article>
-        <p>26 Jan 2014</p>
-
-<p>Stratosphere’s hybrid approach combines <strong>MapReduce</strong> and 
<strong>MPP database</strong> techniques. One central part of this approach is 
to have a <strong>separation between the programming (API) and the way programs 
are executed</strong> <em>(execution plans)</em>. The 
<strong>compiler/optimizer</strong> decides the details concerning caching or 
when to partition/broadcast with a holistic view of the program. The same 
program may actually be executed differently in different scenarios (input data 
of different sizes, different number of machines).</p>
-
-<p><strong>If you want to know how exactly the system executes your program, 
you can find it out in two ways</strong>:</p>
-
-<ol>
-  <li>
-    <p>The <strong>browser-based webclient UI</strong>, which takes programs 
packaged into JARs and draws the execution plan as a visual data flow (check 
out the <a 
href="http://stratosphere.eu/docs/0.4/program_execution/web_interface.html";>documentation</a>
 for details).</p>
-  </li>
-  <li>
-    <p>For <strong>programs using the <a 
href="http://stratosphere.eu/docs/0.4/program_execution/local_executor.html";>Local-
 </a> or [Remote Executor] 
(http://stratosphere.eu/docs/0.4/program_execution/remote_executor.html)</strong>,
 you can get the optimizer plan using the method 
<code>LocalExecutor.optimizerPlanAsJSON(plan)</code>. The <strong>resulting 
JSON</strong> string describes the execution strategies chosen by the 
optimizer. Naturally, you do not want to parse that yourself, especially for 
longer programs.</p>
-  </li>
-</ol>
-
-<p>The builds <em>0.5-SNAPSHOT</em> and later come with a <strong>tool that 
visualizes the JSON</strong> string. It is a standalone version of the 
webclient’s visualization, packed as an html document 
<code>tools/planVisualizer.html</code>.</p>
-
-<p>If you open it in a browser (for example <code>chromium-browser 
tools/planVisualizer.html</code>) it shows a text area where you can paste the 
JSON string and it renders that string as a dataflow plan (assuming it was a 
valid JSON string and plan). The pictures below show how that looks for the <a 
href="https://github.com/stratosphere/stratosphere/blob/release-0.4/stratosphere-examples/stratosphere-java-examples/src/main/java/eu/stratosphere/example/java/record/connectedcomponents/WorksetConnectedComponents.java?source=cc";>included
 sample program</a> that uses delta iterations to compute the connected 
components of a graph.</p>
-
-<p><img src="/img/blog/plan_visualizer1.png" style="width:100%;" /></p>
-
-<p><img src="/img/blog/plan_visualizer2.png" style="width:100%;" /></p>
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-      <h1>Accessing Data Stored in MongoDB with Stratosphere</h1>
-
-      <article>
-        <p>28 Jan 2014 by Robert Metzger (<a 
href="https://twitter.com/rmetzger_";>@rmetzger_</a>)</p>
-
-<p>We recently merged a <a 
href="https://github.com/stratosphere/stratosphere/pull/437";>pull request</a> 
that allows you to use any existing Hadoop <a 
href="http://developer.yahoo.com/hadoop/tutorial/module5.html#inputformat";>InputFormat</a>
 with Stratosphere. So you can now (in the <code>0.5-SNAPSHOT</code> and 
upwards versions) define a Hadoop-based data source:</p>
-
-<div class="highlight"><pre><code class="language-java"><span 
class="n">HadoopDataSource</span> <span class="n">source</span> <span 
class="o">=</span> <span class="k">new</span> <span 
class="nf">HadoopDataSource</span><span class="o">(</span><span 
class="k">new</span> <span class="nf">TextInputFormat</span><span 
class="o">(),</span> <span class="k">new</span> <span 
class="nf">JobConf</span><span class="o">(),</span> <span class="s">&quot;Input 
Lines&quot;</span><span class="o">);</span>
-<span class="n">TextInputFormat</span><span class="o">.</span><span 
class="na">addInputPath</span><span class="o">(</span><span 
class="n">source</span><span class="o">.</span><span 
class="na">getJobConf</span><span class="o">(),</span> <span 
class="k">new</span> <span class="nf">Path</span><span class="o">(</span><span 
class="n">dataInput</span><span class="o">));</span></code></pre></div>
-
-<p>We describe in the following article how to access data stored in <a 
href="http://www.mongodb.org/";>MongoDB</a> with Stratosphere. This allows users 
to join data from multiple sources (e.g. MonogDB and HDFS) or perform machine 
learning with the documents stored in MongoDB.</p>
-
-<p>The approach here is to use the <code>MongoInputFormat</code> that was 
developed for Apache Hadoop but now also runs with Stratosphere.</p>
-
-<div class="highlight"><pre><code class="language-java"><span 
class="n">JobConf</span> <span class="n">conf</span> <span class="o">=</span> 
<span class="k">new</span> <span class="nf">JobConf</span><span 
class="o">();</span>
-<span class="n">conf</span><span class="o">.</span><span 
class="na">set</span><span class="o">(</span><span 
class="s">&quot;mongo.input.uri&quot;</span><span class="o">,</span><span 
class="s">&quot;mongodb://localhost:27017/enron_mail.messages&quot;</span><span 
class="o">);</span>
-<span class="n">HadoopDataSource</span> <span class="n">src</span> <span 
class="o">=</span> <span class="k">new</span> <span 
class="nf">HadoopDataSource</span><span class="o">(</span><span 
class="k">new</span> <span class="nf">MongoInputFormat</span><span 
class="o">(),</span> <span class="n">conf</span><span class="o">,</span> <span 
class="s">&quot;Read from Mongodb&quot;</span><span class="o">,</span> <span 
class="k">new</span> <span class="nf">WritableWrapperConverter</span><span 
class="o">());</span></code></pre></div>
-
-<h3 id="example-program">Example Program</h3>
-<p>The example program reads data from the <a 
href="http://www.cs.cmu.edu/~enron/";>enron dataset</a> that contains about 500k 
internal e-mails. The data is stored in MongoDB and the Stratosphere program 
counts the number of e-mails per day.</p>
-
-<p>The complete code of this sample program is available on <a 
href="https://github.com/stratosphere/stratosphere-mongodb-example";>GitHub</a>.</p>
-
-<h4 id="prepare-mongodb-and-the-data">Prepare MongoDB and the Data</h4>
-
-<ul>
-  <li>Install MongoDB</li>
-  <li>Download the enron dataset from <a 
href="http://mongodb-enron-email.s3-website-us-east-1.amazonaws.com/";>their 
website</a>.</li>
-  <li>Unpack and load it</li>
-</ul>
-
-<p><code>bash
- bunzip2 enron_mongo.tar.bz2
- tar xvf enron_mongo.tar
- mongorestore dump/enron_mail/messages.bson
-</code></p>
-
-<p>We used <a href="http://robomongo.org/";>Robomongo</a> to visually examine 
the dataset stored in MongoDB.</p>
-
-<p><img src="/img/blog/robomongo.png" style="width:90%;margin:15px" /></p>
-
-<h4 id="build-mongoinputformat">Build <code>MongoInputFormat</code></h4>
-
-<p>MongoDB offers an InputFormat for Hadoop on their <a 
href="https://github.com/mongodb/mongo-hadoop";>GitHub page</a>. The code is not 
available in any Maven repository, so we have to build the jar file on our 
own.</p>
-
-<ul>
-  <li>Check out the repository</li>
-</ul>
-
-<div class="highlight"><pre><code>git clone 
https://github.com/mongodb/mongo-hadoop.git
-cd mongo-hadoop
-</code></pre></div>
-
-<ul>
-  <li>Set the appropriate Hadoop version in the <code>build.sbt</code>, we 
used <code>1.1</code>.</li>
-</ul>
-
-<div class="highlight"><pre><code class="language-bash">hadoopRelease in 
ThisBuild :<span class="o">=</span> <span 
class="s2">&quot;1.1&quot;</span></code></pre></div>
-<ul>
-  <li>Build the input format</li>
-</ul>
-
-<div class="highlight"><pre><code class="language-bash">./sbt 
package</code></pre></div>
-
-<p>The jar-file is now located in <code>core/target</code>.</p>
-
-<h4 id="the-stratosphere-program">The Stratosphere Program</h4>
-
-<p>Now we have everything prepared to run the Stratosphere program. I only ran 
it on my local computer, out of Eclipse. To do that, check out the code …</p>
-
-<div class="highlight"><pre><code class="language-bash">git clone 
https://github.com/stratosphere/stratosphere-mongodb-example.git</code></pre></div>
-
-<p>… and import it as a Maven project into your Eclipse. You have to 
manually add the previously built mongo-hadoop jar-file as a dependency.
-You can now press the “Run” button and see how Stratosphere executes the 
little program. It was running for about 8 seconds on the 1.5 GB dataset.</p>
-
-<p>The result (located in <code>/tmp/enronCountByDay</code>) now looks like 
this.</p>
-
-<div class="highlight"><pre><code>11,Fri Sep 26 10:00:00 CEST 1997
-154,Tue Jun 29 10:56:00 CEST 1999
-292,Tue Aug 10 12:11:00 CEST 1999
-185,Thu Aug 12 18:35:00 CEST 1999
-26,Fri Mar 19 12:33:00 CET 1999
-</code></pre></div>
-
-<p>There is one thing left I want to point out here. MongoDB represents 
objects stored in the database as JSON-documents. Since Stratosphere’s 
standard types do not support JSON documents, I was using the 
<code>WritableWrapper</code> here. This wrapper allows to use any Hadoop 
datatype with Stratosphere.</p>
-
-<p>The following code example shows how the JSON-documents are accessed in 
Stratosphere.</p>
-
-<div class="highlight"><pre><code class="language-java"><span 
class="kd">public</span> <span class="kt">void</span> <span 
class="nf">map</span><span class="o">(</span><span class="n">Record</span> 
<span class="n">record</span><span class="o">,</span> <span 
class="n">Collector</span><span class="o">&lt;</span><span 
class="n">Record</span><span class="o">&gt;</span> <span 
class="n">out</span><span class="o">)</span> <span class="kd">throws</span> 
<span class="n">Exception</span> <span class="o">{</span>
-       <span class="n">Writable</span> <span class="n">valWr</span> <span 
class="o">=</span> <span class="n">record</span><span class="o">.</span><span 
class="na">getField</span><span class="o">(</span><span 
class="mi">1</span><span class="o">,</span> <span 
class="n">WritableWrapper</span><span class="o">.</span><span 
class="na">class</span><span class="o">).</span><span 
class="na">value</span><span class="o">();</span>
-       <span class="n">BSONWritable</span> <span class="n">value</span> <span 
class="o">=</span> <span class="o">(</span><span 
class="n">BSONWritable</span><span class="o">)</span> <span 
class="n">valWr</span><span class="o">;</span>
-       <span class="n">Object</span> <span class="n">headers</span> <span 
class="o">=</span> <span class="n">value</span><span class="o">.</span><span 
class="na">getDoc</span><span class="o">().</span><span 
class="na">get</span><span class="o">(</span><span 
class="s">&quot;headers&quot;</span><span class="o">);</span>
-       <span class="n">BasicDBObject</span> <span class="n">headerOb</span> 
<span class="o">=</span> <span class="o">(</span><span 
class="n">BasicDBObject</span><span class="o">)</span> <span 
class="n">headers</span><span class="o">;</span>
-       <span class="n">String</span> <span class="n">date</span> <span 
class="o">=</span> <span class="o">(</span><span class="n">String</span><span 
class="o">)</span> <span class="n">headerOb</span><span class="o">.</span><span 
class="na">get</span><span class="o">(</span><span 
class="s">&quot;Date&quot;</span><span class="o">);</span>
-       <span class="c1">// further date processing</span>
-<span class="o">}</span></code></pre></div>
-
-<p>Please use the comments if you have questions or if you want to showcase 
your own MongoDB-Stratosphere integration.</p>
-
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-    </div>
-
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with your forum shortname
-
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-        (function() {
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