Caching

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

In-Memory Data Caching. The In-Memory mechanism is used for data caching. 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. For details see the In-Memory Data Caching section.
Repository Objects Caching. To cache repository objects of various types, the various mechanisms speeding up access to objects and their work are developed. For details see the Repository Objects Caching section.
Metadata Caching. To speed up repository navigation, object metadata is cached. Metadata contains basic information about the object and information about object structure. Basic information includes object name, identifier and key. For details see the Metadata Caching section.