The website has now been updated with the 0.10.1.1 release details. Ismael
On Sat, Dec 24, 2016 at 9:29 AM, Ismael Juma <ism...@juma.me.uk> wrote: > Hi Guozhang and Allen, > > I filed an INFRA ticket about this: > > https://issues.apache.org/jira/browse/INFRA-13172 > > This has happened to me before and it typically requires human > intervention if the mirroring doesn't happen in a few minutes. > > Ismael > > On Fri, Dec 23, 2016 at 8:27 PM, Guozhang Wang <wangg...@gmail.com> wrote: > >> Allen, >> >> Please see my previous email. The asf-site repo has been updated, but we >> cannot control when it will be reload and reflected in the web site yet. >> Usually it takes 5 min to a couple hours, but this time it somehow has not >> refreshed yet. >> >> >> Guozhang >> >> >> On Fri, Dec 23, 2016 at 12:07 PM, allen chan < >> allen.michael.c...@gmail.com> >> wrote: >> >> > From what i can tell, it looks like the main kafka website is not >> updated >> > with this release. Download page shows 0.10.1.0 as latest release. >> > The above link for release notes does not work either. >> > >> > Not Found >> > >> > The requested URL /dist/kafka/0.10.1.1/RELEASE_NOTES.html was not >> found on >> > this server. >> > >> > On Wed, Dec 21, 2016 at 7:50 PM, Guozhang Wang <wangg...@gmail.com> >> wrote: >> > >> > > The Apache Kafka community is pleased to announce the release for >> Apache >> > > Kafka 0.10.1.1. This is a bug fix release that fixes 30 issues in >> > 0.10.1.0. >> > > >> > > All of the changes in this release can be found in the release notes: >> > > *https://archive.apache.org/dist/kafka/0.10.1.1/RELEASE_NOTES.html >> > > <https://archive.apache.org/dist/kafka/0.10.1.1/RELEASE_NOTES.html.> >> > > >> > > Apache Kafka is a distributed streaming platform with four four core >> > APIs: >> > > >> > > ** The Producer API allows an application to publish a stream records >> to >> > > one or more Kafka topics. >> > > >> > > ** The Consumer API allows an application to subscribe to one or more >> > > topics and process the stream of records produced to them. >> > > >> > > ** The Streams API allows an application to act as a stream processor, >> > > consuming an input stream from one or more topics and producing an >> output >> > > stream to one or more output topics, effectively transforming the >> input >> > > streams to output streams. >> > > >> > > ** The Connector API allows building and running reusable producers or >> > > consumers that connect Kafka topics to existing applications or data >> > > systems. For example, a connector to a relational database might >> capture >> > > every change to a table.three key capabilities: >> > > >> > > >> > > With these APIs, Kafka can be used for two broad classes of >> application: >> > > >> > > ** Building real-time streaming data pipelines that reliably get data >> > > between systems or applications. >> > > >> > > ** Building real-time streaming applications that transform or react >> to >> > the >> > > streams of data. >> > > >> > > >> > > You can download the source release from >> > > https://www.apache.org/dyn/closer.cgi?path=/kafka/0.10.1. >> > > 1/kafka-0.10.1.1-src.tgz >> > > >> > > and binary releases from >> > > https://www.apache.org/dyn/closer.cgi?path=/kafka/0.10.1. >> > > 1/kafka_2.10-0.10.1.1.tgz >> > > https://www.apache.org/dyn/closer.cgi?path=/kafka/0.10.1. >> > > 1/kafka_2.11-0.10.1.1.tgz >> > > <https://www.apache.org/dyn/closer.cgi?path=/kafka/0.10.0. >> > > 1/kafka_2.11-0.10.1.1.tgz> >> > > >> > > A big thank you for the following 21 contributors to this release! >> > > >> > > Alexey Ozeritsky, Anton Karamanov, Ben Stopford, Bernard Leach, Bill >> > > Bejeck, Damian Guy, Dan Norwood, Eno Thereska, Ewen Cheslack-Postava, >> > > Guozhang Wang, Jason Gustafson, Jiangjie Qin, Jun He, Jun Rao, Kim >> > > Christensen, Manikumar Reddy O, Matthias J. Sax, Mayuresh Gharat, >> Rajini >> > > Sivaram, Sumant Tambe, Vahid Hashemian >> > > >> > > We welcome your help and feedback. For more information on how to >> > > report problems, and to get involved, visit the project website at >> > > http://kafka.apache.org/ >> > > >> > > >> > > Thanks, >> > > -- Guozhang >> > > >> > >> > >> > >> > -- >> > Allen Michael Chan >> > >> >> >> >> -- >> -- Guozhang >> > >
