Caching

In Foresight Analytics Platform data, metadata and repository object caching are implemented to speed up work.

In-Memory Data Caching. To cache data in Foresight Analytics Platform, In-Memory is applied. In-Memory is a subsystem that enables data loading from sources (cube caching), data local storage, quick multiuser access and high performance. Caching enables to avoid sending request each time the data sample from DBMS is required.
Repository Objects Caching. To cache objects of various types, the various mechanisms speeding up access to objects and their work are developed. Description of object caching principles is given in the Repository Objects Caching subsection.
Metadata Caching. On navigating the repository, object metadata is cached. It is available to set up metadata cache with size constraints for RAM in use.