Abstract:
A system and method for improving input/output and memory utilization in a database are described. The system may implement an automatic vertical table decomposition process to achieve the improved input/output, storage and memory utilization in a database.
Abstract:
A computer system hosting a column-store database engine is responsive to database requests for the update and retrieval of data from within a stable data table and providing for the storage of database tuples within a column-store organized database structure. A positional delta tree data structure is implemented in the memory space of the database engine and is operatively coupled in an update data transfer path between a database engine interface and the stable data table. The positional delta tree data structure includes a differential data storage layer operative to store differential update data values in positionally defined relative reference to database tuples stored by the stable data table.
Abstract:
A column-store database computer system responsive to database requests for the update and retrieval of data from within a stable data table providing for the storage of database tuples within a column-store organized database structure. A positional delta tree data structure is implemented in the memory space of the computer system and is operatively coupled in an update data transfer path between a database engine interface and the stable data table. The positional delta tree data structure includes a differential data storage layer operative to store differential update data values in positionally defined relative reference to database tuples stored by the stable data table.
Abstract:
A column-store database engine operates in response to database requests for the update and retrieval of data from within a stable data table and provides for the storage of database tuples within a column-store organized database structure. A positional delta tree data structure is implemented in the memory space of the database engine and is operatively coupled in an update data transfer path between a database engine interface and the stable data table. The positional delta tree data structure includes a differential data storage layer operative to store differential update data values in positionally defined relative reference to database tuples stored by the stable data table.
Abstract:
A constant-vector computation system and method are provided that exploit constant-value blocks during data processing in a database. The system and method may be implemented in any data processing system that processes data at a vector or block granularity.
Abstract:
A computer system hosting a column-store database engine is responsive to database requests for the update and retrieval of data from within a stable data table and providing for the storage of database tuples within a column-store organized database structure. A positional delta tree data structure is implemented in the memory space of the database engine and is operatively coupled in an update data transfer path between a database engine interface and the stable data table. The positional delta tree data structure includes a differential data storage layer operative to store differential update data values in positionally defined relative reference to database tuples stored by the stable data table.
Abstract:
A column-store database engine operates in response to database requests for the update and retrieval of data from within a stable data table and provides for the storage of database tuples within a column-store organized database structure. A positional delta tree data structure is implemented in the memory space of the database engine and is operatively coupled in an update data transfer path between a database engine interface and the stable data table. The positional delta tree data structure includes a differential data storage layer operative to store differential update data values in positionally defined relative reference to database tuples stored by the stable data table.
Abstract:
A system and method for just in time compilation for hash table probing are disclosed. In one implementation, the method of using just-in-time compilation is used to combine the stages of hash value computation and initial lookup into a single compound operation. In another implementation, the method of using just-in-time compilation is used to combine the stages of a hash table record and input record checking to detect if these records are equal, and if not, fetching the next possible record in the linked list of the per-bucket records.
Abstract:
A system and method for buffer management in a database are provided in which a predictive buffer manager may be used. The predictive buffer manager and process may predict when each block in a buffer is going to be used and then manages the buffer based on the prediction.
Abstract:
A column-store database computer system responsive to database requests for the update and retrieval of data from within a stable data table providing for the storage of database tuples within a column-store organized database structure. A positional delta tree data structure is implemented in the memory space of the computer system and is operatively coupled in an update data transfer path between a database engine interface and the stable data table. The positional delta tree data structure includes a differential data storage layer operative to store differential update data values in positionally defined relative reference to database tuples stored by the stable data table.