Parallel query processing with zigzag trees
The VLDB Journal — The International Journal on Very Large Data Bases - Parallelism in database systems
SVP: A Model Capturing Sets, Lists, Streams, and Parallelism
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Reordering Query Execution in Tertiary Memory Databases
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
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Parallel execution of database queries in a shared nothing multiprocessor environment, needs control mechanisms which guarantee a correct global execution of each query. In our system, the control is integrated into the query code at compile time. According to the required schedule for the query, the compilation process combines a set of basic control operations into a control graph mapped on the query graph. This control which allows pipelining between data operations, achieves the dataflow control and enforces the schedule of the program. Using fine grain control operations combined into control schemas makes the control flexible, as new strategies could be easily supported.