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From Otis Gospodnetic <otis.gospodne...@gmail.com>
Subject Re: [ANNOUNCEMENT] Apache Kafka 0.8.1 Released
Date Thu, 13 Mar 2014 00:48:48 GMT
Yes:
https://cwiki.apache.org/confluence/display/KAFKA/Migrating+from+0.7+to+0.8

Otis
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On Wed, Mar 12, 2014 at 6:01 PM, Kane Kane <kane.isturm@gmail.com> wrote:

> Is it possible to update from 0.8 on the fly (rolling upgrade)?
>
> On Wed, Mar 12, 2014 at 2:17 PM, Michael G. Noll
> <michael@michael-noll.com> wrote:
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> > Many thanks to everyone involved in the release!
> >
> > Please let me share two comments:
> >
> > One, there's a typo on the Downloads page [1] for the text of the
> > source download link:  It incorrectly says "kafka-0.8.0-src.tgz"
> > instead of "kafka-0.8.1-src.tgz".  (the hyperlink target/href is
> > correct though)
> >
> > Two, this release is the first time that the project provides binary
> > downloads for Scala versions other than 2.8.0.  Wouldn't it make sense
> > to add a short note which of the binary versions (Scala 2.8.0, 2.8.2,
> > 2.9.1, 2.9.2, 2.10) is the recommended version, and also why?
> >
> > Right now I assume that the 2.8.0 version is still recommended one
> > (and still used in production at LinkedIn)?
> >
> > Again, many thanks for the release!
> > Michael
> >
> >
> > [1] http://kafka.apache.org/downloads.html
> >
> >
> > On 12.03.2014 17:31, Joe Stein wrote:
> >> The Apache Kafka community is pleased to announce the general
> >> availability release of Apache Kafka 0.8.1.
> >>
> >> The 0.8.1 release introduces log compaction
> >> http://kafka.apache.org/documentation.html#compaction and a move to
> >> Gradle for builds. Other changes in this release:
> >> https://archive.apache.org/dist/kafka/0.8.1/RELEASE_NOTES.html.
> >>
> >> Apache Kafka is high-throughput, publish-subscribe messaging system
> >> rethought of as a distributed commit log.
> >>
> >> ** Fast => A single Kafka broker can handle hundreds of megabytes
> >> of reads and writes per second from thousands of clients.
> >>
> >> ** Scalable => Kafka is designed to allow a single cluster to serve
> >> as the central data backbone for a large organization. It can be
> >> elastically and transparently expanded without downtime. Data
> >> streams are partitioned and spread over a cluster of machines to
> >> allow data streams larger than the capability of any single machine
> >> and to allow clusters of co-ordinated consumers.
> >>
> >> ** Durable => Messages are persisted on disk and replicated within
> >> the cluster to prevent data loss. Each broker can handle terabytes
> >> of messages without performance impact.
> >>
> >> ** Distributed by Design => Kafka has a modern cluster-centric
> >> design that offers strong durability and fault-tolerance
> >> guarantees.
> >>
> >> You can download the release from:
> >> http://kafka.apache.org/downloads.html
> >>
> >> 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/
> >>
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