Great news! Thanks for running the release, Guozhang! On Thu, Nov 2, 2017 at 8:19 AM, Vahid S Hashemian <vahidhashem...@us.ibm.com > wrote:
> Great news. Thanks Guozhang! > > --Vahid > > > > > From: Rajini Sivaram <rajinisiva...@gmail.com> > To: dev <dev@kafka.apache.org> > Date: 11/02/2017 05:37 AM > Subject: Re: [ANNOUNCE] Apache Kafka 1.0.0 Released > > > > Guozhang, > > Thank you for running the release! > > Regards, > > Rajini > > On Thu, Nov 2, 2017 at 12:07 PM, UMESH CHAUDHARY <umesh9...@gmail.com> > wrote: > > > Great news, Congratulations to the team ! > > > > On Thu, 2 Nov 2017 at 17:17 Damian Guy <damian....@gmail.com> wrote: > > > > > Thanks Guozhang! > > > > > > On Thu, 2 Nov 2017 at 11:42 Ismael Juma <isma...@gmail.com> wrote: > > > > > > > Thanks for running the release, Guozhang! Also thanks to all the > > > > contributors who made 1.0 possible. :) > > > > > > > > Ismael > > > > > > > > On 1 Nov 2017 2:27 pm, "Guozhang Wang" <wangg...@gmail.com> wrote: > > > > > > > > The Apache Kafka community is pleased to announce the release for > > Apache > > > > Kafka 1.0.0. > > > > > > > > This is a major release of the Kafka project, and is no mere bump of > > the > > > > version number. The Apache Kafka Project Management Committee has > > packed > > > a > > > > number of valuable enhancements into the release. Let me summarize a > > few > > > of > > > > them: > > > > > > > > ** Since its introduction in version 0.10, the Streams API has > become > > > > hugely popular among Kafka users, including the likes of Pinterest, > > > > Rabobank, Zalando, and The New York Times. In 1.0, the the API > > continues > > > to > > > > evolve at a healthy pace. To begin with, the builder API has been > > > improved > > > > (KIP-120). A new API has been added to expose the state of active > tasks > > > at > > > > runtime (KIP-130). Debuggability gets easier with enhancements to > the > > > > print() and writeAsText() methods (KIP-160). And if that’s not > enough, > > > > check out KIP-138 and KIP-161 too. For more on streams, check out > the > > > > Apache Kafka Streams documentation ( > https://urldefense.proofpoint.com/v2/url?u=https-3A__kafka. > apache.org_docu&d=DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=Q_ > itwloTQj3_xUKl7Nzswo6KE4Nj-kjJc7uSVcviKUc&m=tq2Tesrs2V9c_ > JVNIBL_Hk-AvVv8hGn62gT7pdR-6-g&s=Be3Toa7cHgFiUMCDAnwJ_ > e7YhTUvp4eY84rXbSA4Irc&e= > > > > > mentation/streams/ < > https://urldefense.proofpoint.com/v2/url?u=https-3A__kafka. > apache.org_documentation_streams_&d=DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=Q_ > itwloTQj3_xUKl7Nzswo6KE4Nj-kjJc7uSVcviKUc&m=tq2Tesrs2V9c_ > JVNIBL_Hk-AvVv8hGn62gT7pdR-6-g&s=_75tvKAxc9SOMmWlh2Kwo9lsbZjl0Xd > AQUpfH8pP_bs&e= > > < > > > > > https://urldefense.proofpoint.com/v2/url?u=https-3A__kafka. > apache.org_documentation_streams_&d=DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=Q_ > itwloTQj3_xUKl7Nzswo6KE4Nj-kjJc7uSVcviKUc&m=tq2Tesrs2V9c_ > JVNIBL_Hk-AvVv8hGn62gT7pdR-6-g&s=_75tvKAxc9SOMmWlh2Kwo9lsbZjl0Xd > AQUpfH8pP_bs&e= > >), > > > > including some helpful new tutorial videos. > > > > > > > > ** Operating Kafka at scale requires that the system remain > observable, > > > and > > > > to make that easier, we’ve made a number of improvements to metrics. > > > These > > > > are too many to summarize without becoming tedious, but Connect > metrics > > > > have been significantly improved (KIP-196), a litany of new health > > check > > > > metrics are now exposed (KIP-188), and we now have a global topic > and > > > > partition count (KIP-168). Check out KIP-164 and KIP-187 for even > more. > > > > > > > > ** We now support Java 9, leading, among other things, to > significantly > > > > faster TLS and CRC32C implementations. Over-the-wire encryption will > be > > > > faster now, which will keep Kafka fast and compute costs low when > > > > encryption is enabled. > > > > > > > > ** In keeping with the security theme, KIP-152 cleans up the error > > > handling > > > > on Simple Authentication Security Layer (SASL) authentication > attempts. > > > > Previously, some authentication error conditions were > indistinguishable > > > > from broker failures and were not logged in a clear way. This is > > cleaner > > > > now. > > > > > > > > ** Kafka can now tolerate disk failures better. Historically, JBOD > > > storage > > > > configurations have not been recommended, but the architecture has > > > > nevertheless been tempting: after all, why not rely on Kafka’s own > > > > replication mechanism to protect against storage failure rather than > > > using > > > > RAID? With KIP-112, Kafka now handles disk failure more gracefully. > A > > > > single disk failure in a JBOD broker will not bring the entire > broker > > > down; > > > > rather, the broker will continue serving any log files that remain > on > > > > functioning disks. > > > > > > > > ** Since release 0.11.0, the idempotent producer (which is the > producer > > > > used in the presence of a transaction, which of course is the > producer > > we > > > > use for exactly-once processing) required > > max.in.flight.requests.per.con > > > > nection > > > > to be equal to one. As anyone who has written or tested a wire > protocol > > > can > > > > attest, this put an upper bound on throughput. Thanks to KAFKA-5949, > > this > > > > can now be as large as five, relaxing the throughput constraint > quite a > > > > bit. > > > > > > > > > > > > All of the changes in this release can be found in the release > notes: > > > > > > > > > > > > https://urldefense.proofpoint.com/v2/url?u=https-3A__dist. > apache.org_repos_dist_release_kafka_1.0.0_&d=DwIFaQ&c=jf_ > iaSHvJObTbx-siA1ZOg&r=Q_itwloTQj3_xUKl7Nzswo6KE4Nj- > kjJc7uSVcviKUc&m=tq2Tesrs2V9c_JVNIBL_Hk-AvVv8hGn62gT7pdR-6- > g&s=AXo0pEvav_6TS4Wqpd_k46wKszuEo8nr29riGnDhTTQ&e= > > > RELEASE_NOTES.html > > > > > > > > > > > > You can download the source release from: > > > > > > > > > > > > https://urldefense.proofpoint.com/v2/url?u=https-3A__www. > apache.org_dyn_closer.cgi-3Fpath-3D_kafka_1.0.0_&d= > DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=Q_itwloTQj3_xUKl7Nzswo6KE4Nj- > kjJc7uSVcviKUc&m=tq2Tesrs2V9c_JVNIBL_Hk-AvVv8hGn62gT7pdR-6-g&s=- > ui4P2xjndxAXFEw5L2Ri8JXjtw1z5H9jJL2GQVv-UM&e= > > > kafka-1.0.0-src.tgz > > > > > > > > and binary releases from: > > > > > > > > > > > > > > > > https://urldefense.proofpoint.com/v2/url?u=https-3A__www. > apache.org_dyn_closer.cgi-3Fpath-3D_kafka_1.0.0_&d= > DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=Q_itwloTQj3_xUKl7Nzswo6KE4Nj- > kjJc7uSVcviKUc&m=tq2Tesrs2V9c_JVNIBL_Hk-AvVv8hGn62gT7pdR-6-g&s=- > ui4P2xjndxAXFEw5L2Ri8JXjtw1z5H9jJL2GQVv-UM&e= > > > kafka_2.11-1.0.0.tgz > > > > (Scala > > > > 2.11) > > > > > > > > > > > > https://urldefense.proofpoint.com/v2/url?u=https-3A__www. > apache.org_dyn_closer.cgi-3Fpath-3D_kafka_1.0.0_&d= > DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=Q_itwloTQj3_xUKl7Nzswo6KE4Nj- > kjJc7uSVcviKUc&m=tq2Tesrs2V9c_JVNIBL_Hk-AvVv8hGn62gT7pdR-6-g&s=- > ui4P2xjndxAXFEw5L2Ri8JXjtw1z5H9jJL2GQVv-UM&e= > > > kafka_2.12-1.0.0.tgz > > > > (Scala > > > > 2.12) > > > > > > > > > > > > ------------------------------------------------------------ > > > > --------------------------------------- > > > > > > > > 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. > > > > > > > > > > > > Apache Kafka is in use at large and small companies worldwide, > > including > > > > Capital One, Goldman Sachs, ING, LinkedIn, Netflix, Pinterest, > > Rabobank, > > > > Target, The New York Times, Uber, Yelp, and Zalando, among others. > > > > > > > > > > > > A big thank you for the following 108 contributors to this release! > > > > > > > > Abhishek Mendhekar, Xi Hu, Andras Beni, Andrey Dyachkov, Andy > Chambers, > > > > Apurva Mehta, Armin Braun, Attila Kreiner, Balint Molnar, Bart De > > Vylder, > > > > Ben Stopford, Bharat Viswanadham, Bill Bejeck, Boyang Chen, Bryan > > > Baugher, > > > > Colin P. Mccabe, Koen De Groote, Dale Peakall, Damian Guy, Dana > Powers, > > > > Dejan Stojadinović, Derrick Or, Dong Lin, Zhendong Liu, Dustin Cote, > > > > Edoardo Comar, Eno Thereska, Erik Kringen, Erkan Unal, Evgeny > > > Veretennikov, > > > > Ewen Cheslack-Postava, Florian Hussonnois, Janek P, Gregor > Uhlenheuer, > > > > Guozhang Wang, Gwen Shapira, Hamidreza Afzali, Hao Chen, Jiefang He, > > > Holden > > > > Karau, Hooman Broujerdi, Hugo Louro, Ismael Juma, Jacek Laskowski, > > Jakub > > > > Scholz, James Cheng, James Chien, Jan Burkhardt, Jason Gustafson, > Jeff > > > > Chao, Jeff Klukas, Jeff Widman, Jeremy Custenborder, Jeyhun Karimov, > > > > Jiangjie Qin, Joel Dice, Joel Hamill, Jorge Quilcate Otoya, Kamal C, > > > Kelvin > > > > Rutt, Kevin Lu, Kevin Sweeney, Konstantine Karantasis, Perry Lee, > > Magnus > > > > Edenhill, Manikumar Reddy, Manikumar Reddy O, Manjula Kumar, Mariam > > John, > > > > Mario Molina, Matthias J. Sax, Max Zheng, Michael Andre Pearce, > Michael > > > > André Pearce, Michael G. Noll, Michal Borowiecki, Mickael Maison, > Nick > > > > Pillitteri, Oleg Prozorov, Onur Karaman, Paolo Patierno, Pranav > Maniar, > > > > Qihuang Zheng, Radai Rosenblatt, Alex Radzish, Rajini Sivaram, > Randall > > > > Hauch, Richard Yu, Robin Moffatt, Sean McCauliff, Sebastian Gavril, > > Siva > > > > Santhalingam, Soenke Liebau, Stephane Maarek, Stephane Roset, Ted > Yu, > > > > Thibaud Chardonnens, Tom Bentley, Tommy Becker, Umesh Chaudhary, > Vahid > > > > Hashemian, Vladimír Kleštinec, Xavier Léauté, Xianyang Liu, Xin Li, > > > Linhua > > > > Xin > > > > > > > > > > > > We welcome your help and feedback. For more information on how to > > report > > > > problems, and to get involved, visit the project website at > > > > > https://urldefense.proofpoint.com/v2/url?u=http-3A__kafka. > apache.org_&d=DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=Q_ > itwloTQj3_xUKl7Nzswo6KE4Nj-kjJc7uSVcviKUc&m=tq2Tesrs2V9c_ > JVNIBL_Hk-AvVv8hGn62gT7pdR-6-g&s=aV-3Zgf98aWeXp- > jZ3XE1BwYflwjvyMRB37izHzmTIw&e= > > > > > > > > > > > > > > > > > > > > > Thanks, > > > > Guozhang Wang > > > > > > > > > > > > > >
