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Posted to commits@flink.apache.org by mx...@apache.org on 2015/04/30 11:58:42 UTC
[48/51] [abbrv] [partial] flink-web git commit: Migrate SVN layout to
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+
+ <article>
+ <h2><a href="/news/2014/10/03/upcoming_events.html">Upcoming Events</a></h2>
+ <p class="meta">03 Oct 2014</p>
+
+ <div><p>We are happy to announce several upcoming Flink events both in Europe and the US. Starting with a <strong>Flink hackathon in Stockholm</strong> (Oct 8-9) and a talk about Flink at the <strong>Stockholm Hadoop User Group</strong> (Oct 8). This is followed by the very first <strong>Flink Meetup in Berlin</strong> (Oct 15). In the US, there will be two Flink Meetup talks: the first one at the <strong>Pasadena Big Data User Group</strong> (Oct 29) and the second one at <strong>Silicon Valley Hands On Programming Events</strong> (Nov 4).</p>
+
+<p>We are looking forward to seeing you at any of these events. The following is an overview of each event and links to the respective Meetup pages.</p>
+
+<h3 id="flink-hackathon,-stockholm-(oct-8-9)">Flink Hackathon, Stockholm (Oct 8-9)</h3>
+
+<p>The hackathon will take place at KTH/SICS from Oct 8th-9th. You can sign up here: <a href="https://docs.google.com/spreadsheet/viewform?formkey=dDZnMlRtZHJ3Z0hVTlFZVjU2MWtoX0E6MA">https://docs.google.com/spreadsheet/viewform?formkey=dDZnMlRtZHJ3Z0hVTlFZVjU2MWtoX0E6MA</a>.</p>
+
+<p>Here is a rough agenda and a list of topics to work upon or look into. Suggestions and more topics are welcome.</p>
+
+<h4 id="wednesday-(8th)">Wednesday (8th)</h4>
+
+<p>9:00 - 10:00 Introduction to Apache Flink, System overview, and Dev
+environment (by Stephan)</p>
+
+<p>10:15 - 11:00 Introduction to the topics (Streaming API and system by Gyula
+& Marton), (Graphs by Vasia / Martin / Stephan)</p>
+
+<p>11:00 - 12:30 Happy hacking (part 1)</p>
+
+<p>12:30 - Lunch (Food will be provided by KTH / SICS. A big thank you to them
+and also to Paris, for organizing that)</p>
+
+<p>13:xx - Happy hacking (part 2)</p>
+
+<h4 id="thursday-(9th)">Thursday (9th)</h4>
+
+<p>Happy hacking (continued)</p>
+
+<h4 id="suggestions-for-topics">Suggestions for topics</h4>
+
+<h5 id="streaming">Streaming</h5>
+
+<ul>
+<li><p>Sample streaming applications (e.g. continuous heavy hitters and topics
+on the twitter stream)</p></li>
+<li><p>Implement a simple SQL to Streaming program parser. Possibly using
+Apache Calcite (<a href="http://optiq.incubator.apache.org/">http://optiq.incubator.apache.org/</a>)</p></li>
+<li><p>Implement different windowing methods (count-based, time-based, ...)</p></li>
+<li><p>Implement different windowed operations (windowed-stream-join,
+windowed-stream-co-group)</p></li>
+<li><p>Streaming state, and interaction with other programs (that access state
+of a stream program)</p></li>
+</ul>
+
+<h5 id="graph-analysis">Graph Analysis</h5>
+
+<ul>
+<li><p>Prototype a Graph DSL (simple graph building, filters, graph
+properties, some algorithms)</p></li>
+<li><p>Prototype abstractions different Graph processing paradigms
+(vertex-centric, partition-centric).</p></li>
+<li><p>Generalize the delta iterations, allow flexible state access.</p></li>
+</ul>
+
+<h3 id="meetup:-hadoop-user-group-talk,-stockholm-(oct-8)">Meetup: Hadoop User Group Talk, Stockholm (Oct 8)</h3>
+
+<p>Hosted by Spotify, opens at 6 PM.</p>
+
+<p><a href="http://www.meetup.com/stockholm-hug/events/207323222/">http://www.meetup.com/stockholm-hug/events/207323222/</a></p>
+
+<h3 id="1st-flink-meetup,-berlin-(oct-15)">1st Flink Meetup, Berlin (Oct 15)</h3>
+
+<p>We are happy to announce the first Flink meetup in Berlin. You are very welcome to to sign up and attend. The event will be held in Betahaus Cafe.</p>
+
+<p><a href="http://www.meetup.com/Apache-Flink-Meetup/events/208227422/">http://www.meetup.com/Apache-Flink-Meetup/events/208227422/</a></p>
+
+<h3 id="meetup:-pasadena-big-data-user-group-(oct-29)">Meetup: Pasadena Big Data User Group (Oct 29)</h3>
+
+<p><a href="http://www.meetup.com/Pasadena-Big-Data-Users-Group/">http://www.meetup.com/Pasadena-Big-Data-Users-Group/</a></p>
+
+<h3 id="meetup:-silicon-valley-hands-on-programming-events-(nov-4)">Meetup: Silicon Valley Hands On Programming Events (Nov 4)</h3>
+
+<p><a href="http://www.meetup.com/HandsOnProgrammingEvents/events/210504392/">http://www.meetup.com/HandsOnProgrammingEvents/events/210504392/</a></p>
+</div>
+ <a href="/news/2014/10/03/upcoming_events.html#disqus_thread">Upcoming Events</a>
+ </article>
+
+ <article>
+ <h2><a href="/news/2014/09/26/release-0.6.1.html">Apache Flink 0.6.1 available</a></h2>
+ <p class="meta">26 Sep 2014</p>
+
+ <div><p>We are happy to announce the availability of Flink 0.6.1.</p>
+
+<p>0.6.1 is a maintenance release, which includes minor fixes across several parts
+of the system. We suggest all users of Flink to work with this newest version.</p>
+
+<p><a href="/downloads.html">Download</a> the release today.</p>
+</div>
+ <a href="/news/2014/09/26/release-0.6.1.html#disqus_thread">Apache Flink 0.6.1 available</a>
+ </article>
+
+ <article>
+ <h2><a href="/news/2014/08/26/release-0.6.html">Apache Flink 0.6 available</a></h2>
+ <p class="meta">26 Aug 2014</p>
+
+ <div><p>We are happy to announce the availability of Flink 0.6. This is the
+first release of the system inside the Apache Incubator and under the
+name Flink. Releases up to 0.5 were under the name Stratosphere, the
+academic and open source project that Flink originates from.</p>
+
+<h2 id="what-is-flink?">What is Flink?</h2>
+
+<p>Apache Flink is a general-purpose data processing engine for
+clusters. It runs on YARN clusters on top of data stored in Hadoop, as
+well as stand-alone. Flink currently has programming APIs in Java and
+Scala. Jobs are executed via Flink's own runtime engine. Flink
+features:</p>
+
+<p><strong>Robust in-memory and out-of-core processing:</strong> once read, data stays
+ in memory as much as possible, and is gracefully de-staged to disk in
+ the presence of memory pressure from limited memory or other
+ applications. The runtime is designed to perform very well both in
+ setups with abundant memory and in setups where memory is scarce.</p>
+
+<p><strong>POJO-based APIs:</strong> when programming, you do not have to pack your
+ data into key-value pairs or some other framework-specific data
+ model. Rather, you can use arbitrary Java and Scala types to model
+ your data.</p>
+
+<p><strong>Efficient iterative processing:</strong> Flink contains explicit "iterate" operators
+ that enable very efficient loops over data sets, e.g., for machine
+ learning and graph applications.</p>
+
+<p><strong>A modular system stack:</strong> Flink is not a direct implementation of its
+ APIs but a layered system. All programming APIs are translated to an
+ intermediate program representation that is compiled and optimized
+ via a cost-based optimizer. Lower-level layers of Flink also expose
+ programming APIs for extending the system.</p>
+
+<p><strong>Data pipelining/streaming:</strong> Flink's runtime is designed as a
+ pipelined data processing engine rather than a batch processing
+ engine. Operators do not wait for their predecessors to finish in
+ order to start processing data. This results to very efficient
+ handling of large data sets.</p>
+
+<h2 id="release-0.6">Release 0.6</h2>
+
+<p>Flink 0.6 builds on the latest Stratosphere 0.5 release. It includes
+many bug fixes and improvements that make the system more stable and
+robust, as well as breaking API changes.</p>
+
+<p>The full release notes are available <a href="https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12315522&version=12327101">here</a>.</p>
+
+<p>Download the release <a href="http://flink.incubator.apache.org/downloads.html">here</a>.</p>
+
+<h2 id="contributors">Contributors</h2>
+
+<ul>
+<li>Wilson Cao</li>
+<li>Ufuk Celebi</li>
+<li>Stephan Ewen</li>
+<li>Jonathan Hasenburg</li>
+<li>Markus Holzemer</li>
+<li>Fabian Hueske</li>
+<li>Sebastian Kunert</li>
+<li>Vikhyat Korrapati</li>
+<li>Aljoscha Krettek</li>
+<li>Sebastian Kruse</li>
+<li>Raymond Liu</li>
+<li>Robert Metzger</li>
+<li>Mingliang Qi</li>
+<li>Till Rohrmann</li>
+<li>Henry Saputra</li>
+<li>Chesnay Schepler</li>
+<li>Kostas Tzoumas</li>
+<li>Robert Waury</li>
+<li>Timo Walther</li>
+<li>Daniel Warneke</li>
+<li>Tobias Wiens</li>
+</ul>
+</div>
+ <a href="/news/2014/08/26/release-0.6.html#disqus_thread">Apache Flink 0.6 available</a>
+ </article>
+
+ <article>
+ <h2><a href="/news/2014/05/31/release-0.5.html">Stratosphere version 0.5 available</a></h2>
+ <p class="meta">31 May 2014</p>
+
+ <div><p>We are happy to announce a new major Stratosphere release, version 0.5. This release adds many new features and improves the interoperability, stability, and performance of the system. The major theme of the release is the completely new Java API that makes it easy to write powerful distributed programs.</p>
+
+<p>The release can be downloaded from the <a href="http://stratosphere.eu/downloads/">Stratosphere website</a> and from <a href="https://github.com/stratosphere/stratosphere/releases/tag/release-0.5">GitHub</a>. All components are available as Apache Maven dependencies, making it simple to include Stratosphere in other projects. The website provides <a href="http://stratosphere.eu/docs/0.5/">extensive documentation</a> of the system and the new features.</p>
+
+<h2 id="shortlist-of-new-features">Shortlist of new Features</h2>
+
+<p>Below is a short list of the most important additions to the Stratosphere system.</p>
+
+<h4 id="new-java-api">New Java API</h4>
+
+<p>This release introduces a completely new <strong>data set-centric Java API</strong>. This programming model significantly eases the development of Stratosphere programs, supports flexible use of regular Java classes as data types, and adds many new built-in operators to simplify the writing of powerful programs. The result are programs that need less code, are more readable, interoperate better with existing code, and execute faster.</p>
+
+<p>Take a look at the <a href="http://stratosphere.eu/docs/0.5/programming_guides/examples_java.html">examples</a> to get a feel for the API.</p>
+
+<h4 id="general-api-improvements">General API Improvements</h4>
+
+<p><strong>Broadcast Variables:</strong> Publish a data set to all instances of another operator. This is handy if the your operator depends on the result of a computation, e.g., filter all values smaller than the average.</p>
+
+<p><strong>Distributed Cache:</strong> Make (local and HDFS) files locally available on each machine processing a task.</p>
+
+<p><strong>Iteration Termination Improvements</strong> Iterative algorithms can now terminate based on intermediate data sets, not only through aggregated statistics.</p>
+
+<p><strong>Collection data sources and sinks:</strong> Speed-up the development and testing of Stratosphere programs by reading data from regular Java collections and inserting back into them.</p>
+
+<p><strong>JDBC data sources and sinks:</strong> Read data from and write data to relational databases using a JDBC driver.</p>
+
+<p><strong>Hadoop input format and output format support:</strong> Read and write data with any Hadoop input or output format.</p>
+
+<p><strong>Support for Avro encoded data:</strong> Read data that has been materialized using Avro.</p>
+
+<p><strong>Deflate Files:</strong> Stratosphere now transparently reads <code>.deflate</code> compressed files.</p>
+
+<h4 id="runtime-and-optimizer-improvements">Runtime and Optimizer Improvements</h4>
+
+<p><strong>DAG Runtime Streaming:</strong> Detection and resolution of streaming data flow deadlocks in the data flow optimizer.</p>
+
+<p><strong>Intermediate results across iteration boundaries:</strong> Intermediate results computed outside iterative parts can be used inside iterative parts of the program.</p>
+
+<p><strong>Stability fixes:</strong> Various stability fixes in both optimizer and runtime.</p>
+
+<h4 id="setup-&-tooling">Setup & Tooling</h4>
+
+<p><strong>Improved YARN support:</strong> Many improvements based on user-feedback: Packaging, Permissions, Error handling.</p>
+
+<p><strong>Java 8 compatibility</strong></p>
+
+<h2 id="contributors">Contributors</h2>
+
+<p>In total, 26 people have contributed to Stratosphere since the last release. Thank you for making this project possible!</p>
+
+<ul>
+<li>Alexander Alexandrov</li>
+<li>Jesus Camacho</li>
+<li>Ufuk Celebi</li>
+<li>Mikhail Erofeev</li>
+<li>Stephan Ewen</li>
+<li>Alexandr Ferodov</li>
+<li>Filip Haase</li>
+<li>Jonathan Hasenberg</li>
+<li>Markus Holzemer</li>
+<li>Fabian Hueske</li>
+<li>Vasia Kalavri</li>
+<li>Aljoscha Krettek</li>
+<li>Rajika Kumarasiri</li>
+<li>Sebastian Kunert</li>
+<li>Aaron Lam</li>
+<li>Robert Metzger</li>
+<li>Faisal Moeen</li>
+<li>Martin Neumann</li>
+<li>Mingliang Qi</li>
+<li>Till Rohrmann</li>
+<li>Chesnay Schepler</li>
+<li>Vyachislav Soludev</li>
+<li>Tuan Trieu</li>
+<li>Artem Tsikiridis</li>
+<li>Timo Walther</li>
+<li>Robert Waury</li>
+</ul>
+
+<h2 id="stratosphere-is-going-apache">Stratosphere is going Apache</h2>
+
+<p>The Stratosphere project has been accepted to the Apache Incubator and will continue its work under the umbrella of the Apache Software Foundation. Due to a name conflict, we are switching the name of the project. We will make future releases of Stratosphere through the Apache foundation under a new name.</p>
+</div>
+ <a href="/news/2014/05/31/release-0.5.html#disqus_thread">Stratosphere version 0.5 available</a>
+ </article>
+
+ <article>
+ <h2><a href="/news/2014/04/16/stratosphere-goes-apache-incubator.html">Stratosphere accepted as Apache Incubator Project</a></h2>
+ <p class="meta">16 Apr 2014</p>
+
+ <div><p>We are happy to announce that Stratosphere has been accepted as a project for the <a href="https://incubator.apache.org/">Apache Incubator</a>. The <a href="https://wiki.apache.org/incubator/StratosphereProposal">proposal</a> has been accepted by the Incubator PMC members earlier this week. The Apache Incubator is the first step in the process of giving a project to the <a href="http://apache.org">Apache Software Foundation</a>. While under incubation, the project will move to the Apache infrastructure and adopt the community-driven development principles of the Apache Foundation. Projects can graduate from incubation to become top-level projects if they show activity, a healthy community dynamic, and releases.</p>
+
+<p>We are glad to have Alan Gates as champion on board, as well as a set of great mentors, including Sean Owen, Ted Dunning, Owen O'Malley, Henry Saputra, and Ashutosh Chauhan. We are confident that we will make this a great open source effort.</p>
+</div>
+ <a href="/news/2014/04/16/stratosphere-goes-apache-incubator.html#disqus_thread">Stratosphere accepted as Apache Incubator Project</a>
+ </article>
+
+ <article>
+ <h2><a href="/news/2014/02/24/stratosphere-google-summer-of-code-2014.html">Stratosphere got accepted for Google Summer of Code 2014</a></h2>
+ <p class="meta">24 Feb 2014</p>
+
+ <div><div class="lead">Students: Apply now for exciting summer projects in the Big Data / Analytics field</div>
+
+<p>We are pleased to announce that Stratosphere got accepted to <a href="http://www.google-melange.com/gsoc/homepage/google/gsoc2014">Google Summer of Code 2014</a> as a mentoring organization. This means that we will host a bunch of students to conduct projects within Stratosphere over the summer. <a href="http://en.flossmanuals.net/GSoCStudentGuide/">Read more on the GSoC manual for students</a> and the <a href="http://www.google-melange.com/gsoc/document/show/gsoc_program/google/gsoc2014/help_page">official FAQ</a>. Students can improve their coding skills, learn to work with open-source projects, improve their CV and get a nice paycheck from Google.</p>
+
+<p>If you are an interested student, check out our <a href="https://github.com/stratosphere/stratosphere/wiki/Google-Summer-of-Code-2014">idea list</a> in the wiki. It contains different projects with varying ranges of difficulty and requirement profiles. Students can also suggest their own projects.</p>
+
+<p>We welcome students to sign up at our <a href="https://groups.google.com/forum/#!forum/stratosphere-dev">developer mailing list</a> to discuss their ideas.
+Applying students can use our wiki (create a new page) to create a project proposal. We are happy to have a look at it.</p>
+</div>
+ <a href="/news/2014/02/24/stratosphere-google-summer-of-code-2014.html#disqus_thread">Stratosphere got accepted for Google Summer of Code 2014</a>
+ </article>
+
+ <article>
+ <h2><a href="/news/2014/02/18/amazon-elastic-mapreduce-cloud-yarn.html">Use Stratosphere with Amazon Elastic MapReduce</a></h2>
+ <p class="meta">18 Feb 2014</p>
+
+ <div><div class="lead">Get started with Stratosphere within 10 minutes using Amazon Elastic MapReduce.</div>
+
+<p>This step-by-step tutorial will guide you through the setup of Stratosphere using Amazon Elastic MapReduce.</p>
+
+<h3 id="background">Background</h3>
+
+<p><a href="http://aws.amazon.com/elasticmapreduce/">Amazon Elastic MapReduce</a> (Amazon EMR) is part of Amazon Web services. EMR allows to create Hadoop clusters that analyze data stored in Amazon S3 (AWS' cloud storage). Stratosphere runs on top of Hadoop using the <a href="http://hadoop.apache.org/docs/r2.2.0/hadoop-project-dist/hadoop-common/releasenotes.html">recently</a> released cluster resource manager <a href="http://hadoop.apache.org/docs/current2/hadoop-yarn/hadoop-yarn-site/YARN.html">YARN</a>. YARN allows to use many different data analysis tools in your cluster side by side. Tools that run with YARN are, for example <a href="https://giraph.apache.org/">Apache Giraph</a>, <a href="http://spark.incubator.apache.org/">Spark</a> or <a href="http://hortonworks.com/blog/introducing-hoya-hbase-on-yarn/">HBase</a>. Stratosphere also <a href="/docs/0.4/setup/yarn.html">runs on YARN</a> and that's the approach for this tutorial.</p>
+
+<h3 id="1.-step:-login-to-aws-and-prepare-secure-access">1. Step: Login to AWS and prepare secure access</h3>
+
+<ul>
+<li>Log in to the <a href="https://console.aws.amazon.com/console/home">AWS Console</a></li>
+</ul>
+
+<p>You need to have SSH keys to access the Hadoop master node. If you do not have keys for your computer, generate them:</p>
+
+<div class="row" style="padding-top:15px">
+ <div class="col-md-6">
+<a data-lightbox="inputs" href="/img/blog/emr-security.png" data-lightbox="example-1"><img class="img-responsive" src="/img/blog/emr-security.png" /></a>
+ </div>
+ <div class="col-md-6">
+ <ul>
+ <li>Select <a href="https://console.aws.amazon.com/ec2/v2/home">EC2</a> and click on "Key Pairs" in the "NETWORK & SECURITY" section.</li>
+ <li>Click on "Create Key Pair" and give it a name</li>
+ <li>After pressing "Yes" it will download a .pem file.</li>
+ <li>Change the permissions of the .pem file</li>
+
+<div class="highlight"><pre><code class="language-bash" data-lang="bash">chmod og-rwx ~/work-laptop.pem</code></pre></div>
+
+ </ul>
+ </div>
+</div>
+
+<h3 id="2.-step:-create-your-hadoop-cluster-in-the-cloud">2. Step: Create your Hadoop Cluster in the cloud</h3>
+
+<ul>
+<li>Select <a href="https://console.aws.amazon.com/elasticmapreduce/vnext/">Elastic MapReduce</a> from the AWS console</li>
+<li>Click the blue "Create cluster" button.</li>
+</ul>
+
+<div class="row" style="padding-top:15px">
+ <div class="col-md-6">
+<a data-lightbox="inputs" href="/img/blog/emr-hadoopversion.png" data-lightbox="example-1"><img class="img-responsive" src="/img/blog/emr-hadoopversion.png" /></a>
+ </div>
+ <div class="col-md-6">
+ <ul>
+ <li>Choose a Cluster name</li>
+ <li>You can let the other settings remain unchanged (termination protection, logging, debugging)</li>
+ <li>For the Hadoop distribution, it is very important to choose one with YARN support. We use <b>3.0.3 (Hadoop 2.2.0)</b> (the minor version might change over time)</li>
+ <li>Remove all applications to be installed (unless you want to use them)</li>
+ <li>Choose the instance types you want to start. Stratosphere runs fine with m1.large instances. Core and Task instances both run Stratosphere, but only core instances contain HDFS data nodes.</li>
+ <li>Choose the <b>EC2 key pair</b> you've created in the previous step!</li>
+ </ul>
+ </div>
+</div>
+
+<ul>
+<li>Thats it! You can now press the "Create cluster" button at the end of the form to boot it!</li>
+</ul>
+
+<h3 id="3.-step:-launch-stratosphere">3. Step: Launch Stratosphere</h3>
+
+<p>You might need to wait a few minutes until Amazon started your cluster. (You can monitor the progress of the instances in EC2). Use the refresh button in the top right corner.</p>
+
+<p>You see that the master is up if the field <b>Master public DNS</b> contains a value (first line), connect to it using SSH.</p>
+
+<div class="highlight"><pre><code class="language-bash" data-lang="bash">ssh hadoop@<your master public DNS> -i <path to your .pem>
+<span class="c"># for my example, it looks like this:</span>
+ssh hadoop@ec2-54-213-61-105.us-west-2.compute.amazonaws.com -i ~/Downloads/work-laptop.pem</code></pre></div>
+
+
+
+(Windows users have to follow <a href="http://docs.aws.amazon.com/ElasticMapReduce/latest/DeveloperGuide/emr-connect-master-node-ssh.html">these instructions</a> to SSH into the machine running the master.) </br></br>
+Once connected to the master, download and start Stratosphere for YARN:
+<ul>
+ <li>Download and extract Stratosphere-YARN</li>
+
+<div class="highlight"><pre><code class="language-bash" data-lang="bash">wget http://stratosphere-bin.s3-website-us-east-1.amazonaws.com/stratosphere-dist-0.5-SNAPSHOT-yarn.tar.gz
+<span class="c"># extract it</span>
+tar xvzf stratosphere-dist-0.5-SNAPSHOT-yarn.tar.gz</code></pre></div>
+
+ <li>Start Stratosphere in the cluster using Hadoop YARN</li>
+
+
+<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">cd </span>stratosphere-yarn-0.5-SNAPSHOT/
+./bin/yarn-session.sh -n <span class="m">4</span> -jm <span class="m">1024</span> -tm 3000</code></pre></div>
+
+
+The arguments have the following meaning
+ <ul>
+ <li><code>-n</code> number of TaskManagers (=workers). This number must not exeed the number of task instances</li>
+ <li><code>-jm</code> memory (heapspace) for the JobManager</li>
+ <li><code>-tm</code> memory for the TaskManagers</li>
+ </ul>
+</ul>
+
+Once the output has changed from
+
+<div class="highlight"><pre><code class="language-bash" data-lang="bash">JobManager is now running on N/A:6123</code></pre></div>
+
+to
+
+<div class="highlight"><pre><code class="language-bash" data-lang="bash">JobManager is now running on ip-172-31-13-68.us-west-2.compute.internal:6123</code></pre></div>
+
+Stratosphere has started the JobManager. It will take a few seconds until the TaskManagers (workers) have connected to the JobManager. To see how many TaskManagers connected, you have to access the JobManager's web interface. Follow the steps below to do that ...
+
+
+
+
+<h3> 4. Step: Launch a Stratosphere Job</h3>
+
+This step shows how to submit and monitor a Stratosphere Job in the Amazon Cloud.
+
+<ul>
+<li> Open an additional terminal and connect again to the master of your cluster. </li>
+
+We recommend to create a SOCKS-proxy with your SSH that allows you to easily connect into the cluster. (If you've already a VPN setup with EC2, you can probably use that as well.)
+
+
+<div class="highlight"><pre><code class="language-bash" data-lang="bash">ssh -D localhost:2001 hadoop@<your master dns name> -i <your pem file></code></pre></div>
+
+
+Notice the <code>-D localhost:2001</code> argument: It opens a SOCKS proxy on your computer allowing any application to use it to communicate through the proxy via an SSH tunnel to the master node. This allows you to access all services in your EMR cluster, such as the HDFS NameNode or the YARN web interface.
+
+<li>Configure a browser to use the SOCKS proxy. Open a browser with SOCKS proxy support (such as Firefox). Ideally, do not use your primary browser for this, since ALL traffic will be routed through Amazon.</li>
+
+<div class="row" style="padding-top:15px">
+ <div class="col-md-6">
+<a data-lightbox="inputs" href="/img/blog/emr-firefoxsettings.png" data-lightbox="example-1"><img class="img-responsive" src="/img/blog/emr-firefoxsettings.png" /></a>
+ </div>
+ <div class="col-md-6">
+ <ul>
+ <li>To configure the SOCKS proxy with Firefox, click on "Edit", "Preferences", choose the "Advanced" tab and press the "Settings ..." button.</li>
+ <li>Enter the details of the SOCKS proxy <b>localhost:2001</b>. Choose SOCKS v4.</li>
+ <li>Close the settings, your browser is now talking to the master node of your cluster</li>
+ </ul>
+ </div>
+</div>
+
+<p></ul></p>
+
+<p>Since you're connected to the master now, you can open several web interfaces: <br>
+<b>YARN Resource Manager</b>: <code>http://<masterIPAddress>:9026/</code> <br>
+<b>HDFS NameNode</b>: <code>http://<masterIPAddress>:9101/</code></p>
+
+<p>You find the <code>masterIPAddress</code> by entering <code>ifconfig</code> into the terminal:</p>
+
+<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="o">[</span>hadoop@ip-172-31-38-95 ~<span class="o">]</span><span class="nv">$ </span>ifconfig
+eth0 Link encap:Ethernet HWaddr 02:CF:8E:CB:28:B2
+ inet addr:172.31.38.95 Bcast:172.31.47.255 Mask:255.255.240.0
+ inet6 addr: fe80::cf:8eff:fecb:28b2/64 Scope:Link
+ RX bytes:166314967 <span class="o">(</span>158.6 MiB<span class="o">)</span> TX bytes:89319246 <span class="o">(</span>85.1 MiB<span class="o">)</span></code></pre></div>
+
+<p><strong>Optional:</strong> If you want to use the hostnames within your Firefox (that also makes the NameNode links work), you have to enable DNS resolution over the SOCKS proxy. Open the Firefox config <code>about:config</code> and set <code>network.proxy.socks_remote_dns</code> to <code>true</code>.</p>
+
+<p>The YARN ResourceManager also allows you to connect to <b>Stratosphere's JobManager web interface</b>. Click the <b>ApplicationMaster</b> link in the "Tracking UI" column.</p>
+
+<p>To run the Wordcount example, you have to upload some sample data.</p>
+
+<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="c"># download a text</span>
+wget http://www.gnu.org/licenses/gpl.txt
+<span class="c"># upload it to HDFS:</span>
+hadoop fs -copyFromLocal gpl.txt /input</code></pre></div>
+
+<p>To run a Job, enter the following command into the master's command line:</p>
+
+<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="c"># optional: go to the extracted directory</span>
+<span class="nb">cd </span>stratosphere-yarn-0.5-SNAPSHOT/
+<span class="c"># run the wordcount example</span>
+./bin/stratosphere run -w -j examples/stratosphere-java-examples-0.5-SNAPSHOT-WordCount.jar -a <span class="m">16</span> hdfs:///input hdfs:///output</code></pre></div>
+
+<p>Make sure that the number of TaskManager's have connected to the JobManager.</p>
+
+<p>Lets go through the command in detail:</p>
+
+<ul>
+<li><code>./bin/stratosphere</code> is the standard launcher for Stratosphere jobs from the command line</li>
+<li>The <code>-w</code> flag stands for "wait". It is a very useful to track the progress of the job.</li>
+<li><code>-j examples/stratosphere-java-examples-0.5-SNAPSHOT-WordCount.jar</code> the <code>-j</code> command sets the jar file containing the job. If you have you own application, place your Jar-file here.</li>
+<li><code>-a 16 hdfs:///input hdfs:///output</code> the <code>-a</code> command specifies the Job-specific arguments. In this case, the wordcount expects the following input <code><numSubStasks> <input> <output></code>.</li>
+</ul>
+
+<p>You can monitor the progress of your job in the JobManager webinterface. Once the job has finished (which should be the case after less than 10 seconds), you can analyze it there.
+Inspect the result in HDFS using:</p>
+
+<div class="highlight"><pre><code class="language-bash" data-lang="bash">hadoop fs -tail /output</code></pre></div>
+
+<p>If you want to shut down the whole cluster in the cloud, use Amazon's webinterface and click on "Terminate cluster". If you just want to stop the YARN session, press CTRL+C in the terminal. The Stratosphere instances will be killed by YARN.</p>
+
+<p><br><br>
+<small>Written by Robert Metzger (<a href="https://twitter.com/rmetzger_">@rmetzger_</a>).</small></p>
+</div>
+ <a href="/news/2014/02/18/amazon-elastic-mapreduce-cloud-yarn.html#disqus_thread">Use Stratosphere with Amazon Elastic MapReduce</a>
+ </article>
+
+ <article>
+ <h2><a href="/news/2014/01/28/querying_mongodb.html">Accessing Data Stored in MongoDB with Stratosphere</a></h2>
+ <p class="meta">28 Jan 2014</p>
+
+ <div><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" data-lang="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">"Input Lines"</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" data-lang="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">"mongo.input.uri"</span><span class="o">,</span><span class="s">"mongodb://localhost:27017/enron_mail.messages"</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">"Read from Mongodb"</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/%7Eenron/">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>
+<div class="highlight"><pre><code class="language-bash" data-lang="bash"> bunzip2 enron_mongo.tar.bz2
+ tar xvf enron_mongo.tar
+ mongorestore dump/enron_mail/messages.bson
+</code></pre></div>
+<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 class="language-text" data-lang="text">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" data-lang="bash">hadoopRelease in ThisBuild :<span class="o">=</span> <span class="s2">"1.1"</span>
+</code></pre></div>
+<ul>
+<li>Build the input format</li>
+</ul>
+<div class="highlight"><pre><code class="language-bash" data-lang="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" data-lang="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 class="language-text" data-lang="text">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" data-lang="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"><</span><span class="n">Record</span><span class="o">></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">"headers"</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">"Date"</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.
+<br><br>
+<small>Written by Robert Metzger (<a href="https://twitter.com/rmetzger_">@rmetzger_</a>).</small></p>
+</div>
+ <a href="/news/2014/01/28/querying_mongodb.html#disqus_thread">Accessing Data Stored in MongoDB with Stratosphere</a>
+ </article>
+
+ <article>
+ <h2><a href="/news/2014/01/26/optimizer_plan_visualization_tool.html">Optimizer Plan Visualization Tool</a></h2>
+ <p class="meta">26 Jan 2014</p>
+
+ <div><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 <a href="http://stratosphere.eu/docs/0.4/program_execution/remote_executor.html">Remote Executor</a></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>
+</div>
+ <a href="/news/2014/01/26/optimizer_plan_visualization_tool.html#disqus_thread">Optimizer Plan Visualization Tool</a>
+ </article>
+
+ <article>
+ <h2><a href="/news/2014/01/13/stratosphere-release-0.4.html">Stratosphere 0.4 Released</a></h2>
+ <p class="meta">13 Jan 2014</p>
+
+ <div><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-v0.4">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>
+</div>
+ <a href="/news/2014/01/13/stratosphere-release-0.4.html#disqus_thread">Stratosphere 0.4 Released</a>
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