I'm building aggregations on a field which has bot a '.analyzed' and a
'.raw' version.
The analyzer used is the standard analyzer
If I want to build filtered term buckets, what would be more performant
- Using an 'include' specified on the terms aggregation on the '.raw'
field (
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-aggregations-bucket-terms-aggregation.html#_filtering_values
) - Using a filter aggregation on the '.analyzed' version, then building the
terms aggregation on the '.raw' field.
How will the performance change
- If the field is really large
- If the field is small (< 300 characters)
I know that the semantics of querying on a analyzed field differs from a
regex match; but if my users would be okay either way - what is the query
which will have better perf on the cluster ?
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