Title :
Optimizing parallel query plans and execution
Author_Institution :
Tandem Comput. Inc., Cupertino, CA, USA
fDate :
Feb. 25 1991-March 1 1991
Abstract :
It is noted that Tandem´s loosely coupled multiprocessor machine is a natural environment for parallel database operations. Horizontally partitioned tables are supported by the Tandem system. It is shown how this environment is utilized in Tandem´s NonStop SQL implementation. The Tandem architecture, parallel index maintenance, parallel use of partitioned tables, and repartitioning are discussed. It is shown that the use of the parallel execution in NonStop SQL can result in a large speedup in the execution of operations on partitioned and nonpartitioned data. A benchmark showed that parallel queries in NonStop SQL achieve linear speedup and scaleup for batch queries.<>
Keywords :
database management systems; parallel architectures; query languages; Tandem architecture; Tandem system; Tandem´s NonStop SQL; batch queries; benchmark; horizontally partitioned tables; linear speedup; loosely coupled multiprocessor machine; parallel index maintenance; parallel query plan optimisation; repartitioning; scaleup; Aggregates; Availability; Computer architecture; Concurrent computing; Data flow computing; Databases; Electrostatic precipitators; Operating systems; Process control; Transfer functions;
Conference_Titel :
Compcon Spring '91. Digest of Papers
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-8186-2134-6
DOI :
10.1109/CMPCON.1991.128791
