#1
I have been reading around and some people suggest if doing "log" analytics 
to split the index based on time.
Is this built in into Elastic search or does it mean I have to do it manual?

If manual

PUT http://myhost:9200/myindex-(get-current-date-here)/SomeDoc/Id

I'm pulling my data from SQL server and going to either use ETL or JDBC 
gatherer. I suppose the ETL process needs to consider the date and when it 
does it's index PUT to check and roll over the date so that a new index 
gets created?
And my queries need to consider this also so they know that on each day 
they need to search the new index?

#2 is there such a thing as eviction policies?
Basically is there a way to check if we are running out of diskspace and to 
either remove entries from the index or in the above case delete/archive 
indexes older then a few days?





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