Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects simply to a non-technical, business audience. Over…
A query optimizer is a critical database management system (DBMS) component that analyzes Structured Query Language (SQL) queries and determines efficient execution mechanisms. A query optimizer generates one or more query plans for each query, each of which may be a mechanism used to run a query. The most efficient query plan is selected and used to run the query.
Database users do not typically interact with a query optimizer, which works in the background.
SQL queries may be simple or complex statements. Each SQL statement requires minimal use of valuable resources, such as disk reads and server memory. The query optimizer ensures this, as well as expedited execution of each SQL query. For example, a query optimizer may generate a series of query plans based on resource costs. One query plan may involve reading a table to retrieve a subset of its data, while another may involve using table indexes for quick data reading. These are known as cost-based optimizers.
A query optimizer may select different query plans for the same query, depending on environmental circumstances. For example, a user runs a query that selects approximately half of a table’s data. The user runs the query when the server is heavily tasked with multiple simultaneous connections. In this scenario, the query optimizer may decide to use a query plan that calls on the created table indexes to satisfy the query, based on limited resources. This ensures minimal server drain by the query. By running the same query at another time with more resources, the query optimizer could determine that resource limitation is not an issue. In this instance, table indexes would not be used, and the query optimizer would allow full table loading to server memory.
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Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.
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