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Control of a large massively parallel database machine using sQL catalogue extensions, and a DSDL in preference to an operating system

  • Mike Unwalla
  • Jon Kerridge
Parallel Implementations and Industrial Systems
Part of the Lecture Notes in Computer Science book series (LNCS, volume 618)

Abstract

The IDIOMS parallel database machine supports large applications where integrated OLTP and MIS is required. It can be considered a relational engine, and SQL is used as the MIS query language. We make some comparisons between IDIOMS and other database machines. We justify why IDIOMS does not use an operating system, and why a Data Storage Description Language (DSDL) is used to control data placement. Our implementation extends the SQL2 information schema tables. These extensions, which are described in detail, can be used by a Data Dictionary process to control resource allocation and data access. General principles behind further extensions which can be used to improve data partitioning are discussed. By means of examples, we show how our extensions support multi-column partitioning, and how, with such a partitioning strategy, MIS query access time can be reduced.

Keywords

Access Rate Data Dictionary Query Tree Selection Predicate Database Machine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Mike Unwalla
    • 1
  • Jon Kerridge
    • 1
  1. 1.Department of Computer ScienceUniversity of SheffieldSheffieldEngland

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