Typically, fields storing identifiers such as an ISBN or any number identifying a record from another database are rarely used in range queries or aggregations. This is why they might benefit from being mapped as keyword rather than as integer or long.
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And if several users run a query that contains this range in the same minute, the query cache could help speed things up a bit. The longer the interval that is used for rounding, the more the query cache can help, but beware that too aggressive rounding might also hurt user experience. It might be tempting to split ranges into a large cacheable part and smaller not cacheable parts in order to be able to leverage the query cache, as shown below:.
However such practice might make the query run slower in some cases since the overhead introduced by the bool query may defeat the savings from better leveraging the query cache.
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Indices that are read-only may benefit from being merged down to a single segment. This is typically the case with time-based indices: only the index for the current time frame is getting new documents while older indices are read-only. Shards that have been force-merged into a single segment can use simpler and more efficient data structures to perform searches. Do not force-merge indices to which you are still writing, or to which you will write again in the future.
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Instead, rely on the automatic background merge process to perform merges as needed to keep the index running smoothly. If you continue to write to a force-merged index then its performance may become much worse. Global ordinals are a data-structure that is used in order to run terms aggregations on keyword fields.
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