Abstract: A streaming operation is performed by nodes of cluster that implement a database. A method includes a first node determining data segments from data in a first data file stored at the first node for transfer to a second node of the cluster. The first node generates segment offset data for each data segment defining an offset position of the data segment relative to positions in the first data file. The first node transfers sets of segment data, each set including a data segment and the segment offset data for the data segment, to the receiving node. The second writes the data segments to a second data file stored at the second node by mapping each data segment to a position in the second data file as defined by the offset position in the segment offset data for the data segment.

Abstract: Described embodiments provide systems and methods for building client server applications. The application server code is deployed within a distributed datastore and utilizes the datastore's data locality information to fulfill requests with minimal remote procedure calls (RPC), reduced transfer of data between servers, and shared data caches. The application server inherits the properties of the distributed datastore such as statefulness, replication and failover. Described embodiments also enable the fetching and processing of data in a “big data” environment—a system that contains multiple servers' worth of data, with improved time and bandwidth considerations.

Abstract: Described embodiments provide systems and methods for building client server applications. The application server code is deployed within a distributed datastore and utilizes the datastore's data locality information to fulfill requests with minimal remote procedure calls (RPC), reduced transfer of data between servers, and shared data caches. The application server inherits the properties of the distributed datastore such as statefulness, replication and failover. Described embodiments also enable the fetching and processing of data in a “big data” environment—a system that contains multiple servers' worth of data, with improved time and bandwidth considerations.