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From Kane Kane <kane.ist...@gmail.com>
Subject Re: [ANNOUNCEMENT] Apache Kafka 0.8.1 Released
Date Wed, 12 Mar 2014 22:01:56 GMT
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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