Can you explain how you compare rivers with SolrCloud data import handlers?

Rivers were once designed as a singleton to fetch data very quick for
prototyping and demo purpose, not more. With the official ES client
families, and with logstash / message queue "push" architecture, they can
often be replaced.

Thanks,

Jörg

On Sun, Nov 16, 2014 at 10:14 PM, "Jürgen Wagner (DVT)" <
[email protected]> wrote:

>  Hello,
>   we generally don't use rivers as it does not seem to be a good idea to
> put too much of connector functionality into a search nodes themselves. The
> scaling of connectors and feeding is entirely different from that of
> processing and indexing or querying. That's why it is in my opinion clearly
> advisable to keep such components in an architecture separate and not to
> interweave them more than necessary. The notorious data import handlers of
> SolrCloud demonstrate where this leads to.
>
> I don't know what stance the Elasticsearch folks take towards rivers, but
> from an architectural point of view, the clear separation from
> Elasticsearch seems like a good mid- to long-term goal to go for.
>
> My 5 EUR-cents worth of feedback...
>
> --Jürgen
>
>
> On 16.11.2014 21:24, Otis Gospodnetic wrote:
>
> We've seen issues with Rivers in the past and no longer use them in our
> engagements.
>
>  Otis
> --
> Monitoring * Alerting * Anomaly Detection * Centralized Log Management
> Solr & Elasticsearch Support * http://sematext.com/
>
>
> On Thursday, November 6, 2014 9:17:36 PM UTC-5, Alexandre Rafalovitch
> wrote:
>>
>> ElasticSearch 1.4 is out and I can't see any mentions that Rivers are
>> deprecated.
>>
>> Has that (informal) decision been reversed? Or was the timeline
>> further out? What's the currently recommended approach?
>>
>> Regards,
>>    Alex.
>>
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> уважением
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