Sometimes, there may be a need to prepare Elasticsearch to handle your queries. Maybe it's because you heavily rely on the field data cache and you want it to be loaded before your production queries arrive, or maybe you want to warm up your operating system's I/O cache so that the data indices files are read from the cache. Whatever the reason, Elasticsearch allows us to use so called warming queries for our types and indices.
A warming query is nothing more than the usual query stored in a special type called _warmer in Elasticsearch. Let's assume that we have the following query that we want to use for warming up:
curl -XGET localhost:9200/library/_search?pretty -d '{ "query" : { "match_all" : {} }, "aggs" : { "warming_aggs" : { "terms" : { "field" : "tags" } } } }'
To store the preceding query as a warming query for our library index, we will run the following command:
curl -XPUT 'localhost:9200/library/_warmer...