Abstract: A system and method to generate an improved layout of a data grid in a database environment is provided. The data grid is a clustered in-memory database cache comprising one or more data fabrics, where each data fabric includes multiple in-memory database cache nodes. A data grid advisor capability can be used by application developers and database administrators to evaluate and design the data grid layout so as to optimize performance based on resource constraints and the needs of particular database applications.

Abstract: Systems and methods for non-disruptive cache startup, shutdown, data partition movement, and node rebalancing for a data fabric within a data grid in a database environment. The data grid is a clustered in-memory database (IMDB) cache comprising one or more data fabrics including multiple IMDB cache nodes. The method takes a time tag and moves data from source to destination nodes while allowing updates to data on the source nodes. The method propagates updates occurring after the time tag to destination nodes from source nodes and switches applications and ownership to the destination nodes. Another method slices data for a partitioned fabric and stores slices on nodes. Another method starts a data fabric by moving data from a grid backend to the nodes. In an embodiment, another method rebalances nodes in a non-disruptive manner. When a fabric is shutdown, the method saves data from the nodes to the grid backend.

Abstract: System, method, computer program product embodiments and combinations and sub-combinations thereof for a distributed data cache database architecture are provided. An embodiment includes providing a scalable distribution of in-memory database (IMDB) system nodes organized as one or more data fabrics. Further included is providing a plurality of data granularity types for storing data within the one or more data fabrics. Database executions are managed via the one or more data fabrics for a plurality of applications compatible with at least one data granularity type.

Abstract: A system and method to generate an improved layout of a data grid in a database environment is provided. The data grid is a clustered in-memory database cache comprising one or more data fabrics, where each data fabric includes multiple in-memory database cache nodes. A data grid advisor capability can be used by application developers and database administrators to evaluate and design the data grid layout so as to optimize performance based on resource constraints and the needs of particular database applications.

Abstract: Systems and methods for non-disruptive cache startup, shutdown, data partition movement, and node rebalancing for a data fabric within a data grid in a database environment. The data grid is a clustered in-memory database (IMDB) cache comprising one or more data fabrics including multiple IMDB cache nodes. The method takes a time tag and moves data from source to destination nodes while allowing updates to data on the source nodes. The method propagates updates occurring after the time tag to destination nodes from source nodes and switches applications and ownership to the destination nodes. Another method slices data for a partitioned fabric and stores slices on nodes. Another method starts a data fabric by moving data from a grid backend to the nodes. In an embodiment, another method rebalances nodes in a non-disruptive manner. When a fabric is shutdown, the method saves data from the nodes to the grid backend.