Memory cache

factry historian can cache time series data in memory this will speed up queries but will consume more memory the memory cache is only used for internal queries and not for queries from the api so calculations and event queries will benefit from the cache, but queries made from the frontend, the grafana datasource or the api directly will not only measurements which have consumers are kept in the cache if a measurement is not used in any calculations or events it will not be cached only queries with supported aggregations are able to use the cache the following aggregations are supported count first last sum min max mean median spread mode which means the following are not supported integral , stddev , twa settings the size of the cache and whether it is enabled can be configured in the general settings docid\ jwpo8qzsond29mhglerea of the historian guidelines having the cache enabled will speed up queries, but will consume more memory be careful when increasing the cache size, keep an eye on the memory usage of the historian and adjust accordingly changing the cache size will not have an immediate effect, the cache will slowly adjust to the new size so if you increase the cache size it will take some time before the cache is fully populated numeric and boolean data are quite consistent in their size but string data can vary based on the number of unique strings the more unique strings the more memory is used below is some data on how much memory is used by different data types when 16 million data points are cached statistics the following statistics are available in the internal factry database cache size the current capacity of the cache in data points cache max size the maximum size of the cache in data points cache measurement max size the maximum size of the cache per measurement in data points cache used the current amount of data points in the cache cache consumer count the number of consumers of the cache so the number of calculations or event workers that are using the cache cache measurement count the number of measurements that are in the cache cache hits the number of successful queries that were served from the cache cache missed by error the number of queries that were not served from the cache due to an error cache missed by feature the number of queries that were not served from the cache due to a feature not being supported for example an aggregation cache missed by range the number of queries that were not served from the cache due to the data not being in the cache