IMPORTANT: Version 6.6 of Elasticsearch has passed its maintenance date.
This documentation is no longer being updated. For the latest information, see the current release documentation.
This functionality is in beta and is subject to change. The design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features.
Frozen indices are throttled in order to limit memory consumptions per node. The number of concurrently loaded frozen indices per node is
limited by the number of threads in the search_throttled threadpool, which is
1 by default.
Search requests will not be executed against frozen indices by default, even if a frozen index is named explicitly. This is
to prevent accidental slowdowns by targeting a frozen index by mistake. To include frozen indices a search request must be executed with
the query parameter
While frozen indices are slow to search, they can be pre-filtered efficiently. The request parameter
a threshold that, when exceeded, will enforce a round-trip to pre-filter search shards that cannot possibly match.
This filter phase can limit the number of shards significantly. For instance, if a date range filter is applied, then all indices (frozen or unfrozen) that do not contain documents within the date range can be skipped efficiently.
The default value for
128 but it’s recommended to set it to
1 when searching frozen indices. There is no
significant overhead associated with this pre-filter phase.