Your indices should be fine as is. Lucene is guaranteed to be able to read
data from 1 major revision prior. Elasticsearch 0.20 is Lucene 3 and the
latest Elasticsearch is Lucene 4. Because of various bugs at the Lucene
level, you should run an optimize (normally discouraged) to upgrade the
indices within Lucene.

Can you hold off indexing new content during the transition? If you want
zero downtime, it is essential. Also, what type of client are you using?
Although the Java transport client is the most flexible, it can be an issue
for zero downtime upgrades (with versions prior to 1.0).

If you can wait a little longer, I would hold off for Elasticsearch 1.4,
which is currently in beta. I think it would be the biggest release since
1.0.

Cheers,

Ivan

On Thu, Oct 2, 2014 at 7:57 AM, joergpra...@gmail.com <joergpra...@gmail.com
> wrote:

> FYI I have prepared Knapsack plugin for Elasticsearch 0.20.6
>
> https://github.com/jprante/elasticsearch-knapsack
>
> Source code tag:
>
> https://github.com/jprante/elasticsearch-knapsack/releases/tag/0.20.6.2
>
> Link of Plugin ZIP for 0.20.6.2:
>
>
> http://xbib.org/repository/org/xbib/elasticsearch/plugin/elasticsearch-knapsack/0.20.6.2/elasticsearch-knapsack-0.20.6.2-plugin.zip
>
> Jörg
>
>
> On Thu, Oct 2, 2014 at 12:42 PM, joergpra...@gmail.com <
> joergpra...@gmail.com> wrote:
>
>> If you wish, I can prepare a knapsack backport for 0.20, then you can
>> dump all your data into an archive file, and reimport the archive into a
>> higher version.
>>
>> Jörg
>>
>> On Thu, Oct 2, 2014 at 2:28 AM, Eugene Strokin <eug...@strokin.info>
>> wrote:
>>
>>> Hello,
>>> my ES cluster is still running version 0.20.1. It is time to upgrade. I
>>> know I cannot just use indexes as is and replace the jars by the newest ES.
>>> They are not compatible as far as I understood.
>>> So I need to set up a parallel cluster with the newest ES and some how
>>> transfer all the data with zero down time. The size of the indexes is about
>>> 100Gb and the traffic is relatively big, so it could take some time, and
>>> somehow I need to keep the clusters in sync.
>>> Did someone had such experience?
>>> Does someone have any suggestions how to approach this?
>>> I cannot come up with some elegant solution.
>>> Any help is greatly appreciated.
>>> Thank you,
>>> Eugene
>>>
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