IMHO, some options:

* ETL tool like Talend
* a batch process you need to write
* modify application which create those data and push to Elasticsearch from it

I prefer the latter as your search engine will be well synchronized with your 
database.
Also, it will be a gain, database performance wise, as you don't need to read 
again your DB to inject into ES.

My 2 cents

--
David ;-)
Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs


Le 11 janv. 2014 à 04:12, jsp <[email protected]> a écrit :

Thanks Karl,
Do you have any recommendation for alternatives to using rivers.  i want to 
read data from sql db/tables.
thanks
jay

> On Friday, 10 January 2014 13:55:29 UTC-8, Karol Gwaj wrote:
> Consider the fact that rivers could be deprecated in future versions of 
> elasticsearch:
> http://www.linkedin.com/groups/Official-guide-writing-ElasticSearch-rivers-3393294.S.268274223
> 
> 
> 
>> On Wednesday, January 8, 2014 4:26:58 PM UTC, jsp wrote:
>> Hi,
>> I am looking at implementing ES to index & query data that I get from my SQL 
>> Server databases/tables.  I was initially using river to read data from Sql 
>> server tables but one of the developers in my team recommended looking at 
>> using logstash. Can anyone comment to any benefits of using one over 
>> another?   I have not been able to find any documentation regarding reading 
>> data from SQL server using logstash.  Can someone point me to a guide on how 
>> to get started with logstash & sql server.  
>> Thanks
>> J

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