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Applied Mathematics for Database Professionals - download pdf or read online

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3 Query Optimizer 45 Although Selinger’s paper is widely considered the “bible” of query optimization, it was preliminary research. All systems extend this work significantly in a number of dimensions. Among the main extensions are: • Plan space: The System R optimizer constrained its plan space somewhat by focusing only on “left-deep” query plans (where the right-hand input to a join must be a base table), and by “postponing Cartesian products” (ensuring that Cartesian products appear only after all joins in a dataflow).

As a result, they will not re-optimize a plan unless it will no longer execute, as in the case of dropped indexes. 4 Query Executor 49 more aggressively. For example, if the cardinality of a table changes significantly, recompilation will be triggered in SQL Server since this change may influence the optimal use of indexes and join orders. A selftuning system is arguably less predictable, but more efficient in a dynamic environment. This philosophical distinction arises from differences in the historical customer base for these products.

And IBM has some customers without DBA resources needing full auto-administration. Inthiscase,thequeryexecutorisbasicallyaruntimeinterpreter. In other systems, the query executor receives a representation of the dataflow graph and recursively invokes procedures for the operators based on the graph layout. We focus on this latter case, as the op-code approach essentially compiles the logic we describe here into a program. Most modern query executors employ the iterator model that was used in the earliest relational systems.

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