In my org, each team is creating ES index so the number of index grows very
quickly. Usually users are interested only in their 'product' data.
Currently, users execute query using Kibana w/o specifying index(it takes
_all'). To force user to specify index, what are my options? At the same
time, i would like users to specify field as well so query performance
improves. Appreciate quick help since ES cluster comes down very frequently
because of 'bad' queries. Thank you!
You'll want aliases with a routing query here, but to get the full benefit
you'll have to reindex your data.
Sorry term, use aliases and consider setting up multiple KB instances.
On 24/03/2015 1:03 pm, "Andy" abordia@gmail.com wrote:
In my org, each team is creating ES index so the number of index grows
very quickly. Usually users are interested only in their 'product' data.
Currently, users execute query using Kibana w/o specifying index(it takes
_all'). To force user to specify index, what are my options? At the same
time, i would like users to specify field as well so query performance
improves. Appreciate quick help since ES cluster comes down very frequently
because of 'bad' queries. Thank you!
Mark,
Very thanks for your answer. I am new to ES. Can i get implementation
instruction or detailed answer? Thanks,
Andy
On Monday, March 23, 2015 at 9:11:18 PM UTC-7, Mark Walkom wrote:
You'll want aliases with a routing query here, but to get the full benefit
you'll have to reindex your data.
Sorry term, use aliases and consider setting up multiple KB instances.
On 24/03/2015 1:03 pm, "Andy" <abo...@gmail.com <javascript:>> wrote:
In my org, each team is creating ES index so the number of index grows
very quickly. Usually users are interested only in their 'product' data.
Currently, users execute query using Kibana w/o specifying index(it takes
_all'). To force user to specify index, what are my options? At the same
time, i would like users to specify field as well so query performance
improves. Appreciate quick help since ES cluster comes down very frequently
because of 'bad' queries. Thank you!
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