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Query plans for nested SQL queries can also be chosen using the same dynamic programming algorithm as used for join ordering, but this can lead to an enormous escalation in query optimization time. So some database management systems use an alternative rule-based approach that uses a query graph model.
A query optimizer will not always choose the most efficient query plan for a given query. In some databases the query plan can be reviewed, problems found, and then the query optimizer gives hints on how to improve it. In other databases, alternatives to express the same query (other queries that return the same results) can be tried.
Query Optimization This paper is an introduction into the use of the relational algebra in optimizing queries, and includes numerous citations for more in-depth study. Relational Algebra System for Oracle and Microsoft SQL Server; Pireal – An experimental educational tool for working with Relational Algebra
In various SQL implementations, a hint is an addition to the SQL standard that instructs the database engine on how to execute the query. For example, a hint may tell the engine to use or not to use an index (even if the query optimizer would decide otherwise).
Query rewriting may be rule based [2] or optimizer based. Some sources discuss query rewriting as a distinct step prior to optimization, operating at the level of the user accessible algebra API (e.g. SQL). [citation needed] There are other, largely unrelated concepts also named similarly, for example, query rewriting by search engines. [3]
SQL queries that would execute in a fraction of a second on a smaller database may take over an hour and then time out when run on Quarry and enwiki. Here are some tips to make your SQL queries as efficient as possible. Test your query on a smaller wiki, such as simplewiki (612,000 articles) or sawiki (11,000 articles). Use a LIMIT.
Where Clause filters can also significantly impact query volume and cost. A query optimizer determines how to execute a query containing joins. A query optimizer has two basic freedoms: Join order: Because it joins functions commutatively and associatively, the order in which the system joins tables does not change the final result set of the ...
She played a fundamental role in the development of System R, a pioneering relational database implementation, and wrote the canonical paper on relational query optimization. [2] She is a pioneer in relational database management and inventor of the technique of cost-based query optimization.