Caching helps avoid sending request each time the data sample from DBMS is required. Foresight Analytics Platform supports data caching and repository objects caching to speed up work.
In-Memory data caching. Caching is executed by means of a special storage structure that stores binary data. Data is loaded to the memory on demand. All the further work with data is executed without addressing the DBMS.. For details see the In-Memory Data Caching section.
Repository Objects Caching. Repository objects can be cached by means of developed various mechanisms speeding up access to objects and their work. 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.
See also:
Navigator Interface | In-Memory Data Caching | Repository Objects Caching |