[ANNOUNCE] Flink 1.0.0 has been released
Locked
[ANNOUNCE] Flink 1.0.0 has been released
 
|
Hi everyone!
As you might have noticed, Apache Flink 1.0.0 has been released and announced! You can read more about the release at the ASF blog and the Flink blog Don't forget to retweet and spread the news :-) Check out the changelog and the migration guide, download the release, and check out the documentation Many congratulations to the Flink community for making this happen! Best, Kostas |
RE: [ANNOUNCE] Flink 1.0.0 has been released
|
|
Hi,
Do you have also a linkedin post that I could share - or should I make a blogpost in which I take this announcement? Dr. Radu Tudoran Research Engineer - Big Data Expert IT R&D Division HUAWEI TECHNOLOGIES Duesseldorf GmbH European Research Center Riesstrasse 25, 80992 München E-mail: [hidden email] Mobile: +49 15209084330 Telephone: +49 891588344173 HUAWEI TECHNOLOGIES Duesseldorf GmbH Hansaallee 205, 40549 Düsseldorf, Germany, www.huawei.com Registered Office: Düsseldorf, Register Court Düsseldorf, HRB 56063, Managing Director: Bo PENG, Wanzhou MENG, Lifang CHEN Sitz der Gesellschaft: Düsseldorf, Amtsgericht Düsseldorf, HRB 56063, Geschäftsführer: Bo PENG, Wanzhou MENG, Lifang CHEN This e-mail and its attachments contain confidential information from HUAWEI, which is intended only for the person or entity whose address is listed above. Any use of the information contained herein in any way (including, but not limited to, total or partial disclosure, reproduction, or dissemination) by persons other than the intended recipient(s) is prohibited. If you receive this e-mail in error, please notify the sender by phone or email immediately and delete it! -----Original Message----- From: Kostas Tzoumas [mailto:[hidden email]] Sent: Tuesday, March 08, 2016 4:17 PM To: [hidden email]; [hidden email]; [hidden email] Subject: [ANNOUNCE] Flink 1.0.0 has been released Hi everyone! As you might have noticed, Apache Flink 1.0.0 has been released and announced! You can read more about the release at the ASF blog and the Flink blog - https://blogs.apache.org/foundation/entry/the_apache_software_foundation_announces88 - http://flink.apache.org/news/2016/03/08/release-1.0.0.html Don't forget to retweet and spread the news :-) - https://twitter.com/TheASF/status/707174116969857024 - https://twitter.com/ApacheFlink/status/707175973482012672 Check out the changelog and the migration guide, download the release, and check out the documentation - http://flink.apache.org/blog/release_1.0.0-changelog_known_issues.html - https://cwiki.apache.org/confluence/display/FLINK/Migration+Guide%3A+0.10.x+to+1.0.x - https://cwiki.apache.org/confluence/display/FLINK/Stability+Annotations - http://flink.apache.org/downloads.html - https://ci.apache.org/projects/flink/flink-docs-release-1.0/ Many congratulations to the Flink community for making this happen! Best, Kostas |
Re: [ANNOUNCE] Flink 1.0.0 has been released
|
|
In reply to this post by Kostas Tzoumas
Congratulations! Very nice work, very interesting features. One question regarding CEP: do you think it's feasible to define pattern over window of 1 month or even more? Is there some deep explanation regarding how this partial states are saved? I mean events that create "funnel" might be separated by very large periods of inactivity/noise On 8 March 2016 at 17:17, Kostas Tzoumas <[hidden email]> wrote:
|
Re: [ANNOUNCE] Flink 1.0.0 has been released
|
|
Great to have this out!
@Radu: You may use this LinkedIn post: https://www.linkedin.com/groups/7414853/7414853-6113008761373290497 @Igor: Having a one month window should work fine. The CEP library only keeps track of the current state of the events which enables you to process large amounts of data over long time intervals. On Tue, Mar 8, 2016 at 8:32 PM, Igor Berman <[hidden email]> wrote: > Congratulations! > Very nice work, very interesting features. > > One question regarding CEP: do you think it's feasible to define pattern > over window of 1 month or even more? > Is there some deep explanation regarding how this partial states are saved? > I mean events that create "funnel" might be separated by very large periods > of inactivity/noise > > > > On 8 March 2016 at 17:17, Kostas Tzoumas <[hidden email]> wrote: >> >> Hi everyone! >> >> As you might have noticed, Apache Flink 1.0.0 has been released and >> announced! >> >> You can read more about the release at the ASF blog and the Flink blog >> - >> https://blogs.apache.org/foundation/entry/the_apache_software_foundation_announces88 >> - http://flink.apache.org/news/2016/03/08/release-1.0.0.html >> >> Don't forget to retweet and spread the news :-) >> - https://twitter.com/TheASF/status/707174116969857024 >> - https://twitter.com/ApacheFlink/status/707175973482012672 >> >> Check out the changelog and the migration guide, download the release, and >> check out the documentation >> - http://flink.apache.org/blog/release_1.0.0-changelog_known_issues.html >> - >> https://cwiki.apache.org/confluence/display/FLINK/Migration+Guide%3A+0.10.x+to+1.0.x >> - https://cwiki.apache.org/confluence/display/FLINK/Stability+Annotations >> - http://flink.apache.org/downloads.html >> - https://ci.apache.org/projects/flink/flink-docs-release-1.0/ >> >> Many congratulations to the Flink community for making this happen! >> >> Best, >> Kostas > > |
Re: [ANNOUNCE] Flink 1.0.0 has been released
|
|
In reply to this post by igor.berman
@Igor: State from the CEP library (like what was the last observed event for a certain ID or so) is kept in Flink's state mechanisms (the key/value state) Have a look at these docs for details: - Working with State: https://ci.apache.org/projects/flink/flink-docs-release-1.0/apis/streaming/state.html - Fault tolerance in general: https://ci.apache.org/projects/flink/flink-docs-release-1.0/apis/streaming/fault_tolerance.html - Changing how state is stored internally (via state backends): https://ci.apache.org/projects/flink/flink-docs-release-1.0/apis/streaming/state_backends.html On Tue, Mar 8, 2016 at 8:32 PM, Igor Berman <[hidden email]> wrote:
|
«
Return to (DEPRECATED) Apache Flink User Mailing List archive.
|
1 view|%1 views
| Free forum by Nabble | Edit this page |