I like it. :D
On Tue, Aug 26, 2014 at 3:58 PM, Kostas Tzoumas <ktzou...@apache.org> wrote: > Oops, thank you, sorry for the typos. > > > On Tue, Aug 26, 2014 at 3:57 PM, Robert Metzger <rmetz...@apache.org> > wrote: > > > Well written, thank you! > > I think you have a typo in Mingliangs name: "Mingliang Qi", Jonathan's > last > > name is "Hasenburg" > > > > > > On Tue, Aug 26, 2014 at 3:42 PM, Kostas Tzoumas <ktzou...@apache.org> > > wrote: > > > > > Hey folks, > > > > > > The Flink 0.6 release is out, and it would be great to announce it at > the > > > Flink blog and perhaps at announcements@apache among other places. I > > > drafted a small text that also explains a bit what is Flink since this > is > > > the first Apache release. > > > > > > Would be great to get some comments on the text! Also, if you > contributed > > > in the release and your name is missing, please respond. > > > > > > Best, > > > Kostas > > > > > > 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, from > > > the academic and open source project that Flink originates from. > > > > > > What is Flink? > > > > > > Apache Flink is a new general-purpose computation engine that can run > > > on YARN clusters on top of data stored in Hadoop. Flink currently has > > > programming APIs in Java and Scala. Jobs are executed via Flink's own > > > runtime engine. Flink features: > > > > > > - Robust in-memory and out-of-core processing: 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. > > > > > > - Object-based APIs: 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. > > > > > > - A modular system stack: 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. > > > > > > - Data pipelining/streaming: 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 intermediate data sets. > > > > > > > > > Release 0.6 > > > > > > 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. > > > The full release notes are available here: > > > > > > > > > https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12315522&version=12327101 > > > > > > To download the release please visit > > > http://flink.incubator.apache.org/downloads.html > > > > > > Contributors > > > > > > Wilson Cao > > > Ufuk Celebi > > > Stephan Ewen > > > Jonathan Hasenberg > > > Markus Holzemer > > > Fabian Hueske > > > Sebastian Kunert > > > Vikhyat Korrapati > > > Aljoscha Krettek > > > Sebastian Kruse > > > Raymond Liu > > > Robert Metzger > > > Minglianh Qi > > > Till Rohrmann > > > Henry Saputra > > > Chesnay Schepler > > > Kostas Tzoumas > > > Robert Waury > > > Timo Walther > > > Daniel Warneke > > > Tobias Wiens > > > > > >
