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Query optimization

Query optimization is the process of transforming a query or selecting an execution strategy to improve retrieval effectiveness or efficiency while preserving intended results.

How 2 Manning books explain it

Microsoft Azure in Action

Query optimization is the technique of improving database queries to reduce unnecessary processing and resource consumption while preserving required results.

How it is used
Improves database responsiveness and controls resource consumption during demanding workloads.
How deep it goes
Explains monitoring, indexes, indexing policies, and selective criteria, but stops short of detailed execution-plan analysis.
Examples
Uses a multi-table order query, a product-catalog search, cost reports, and a high-request-unit Azure CLI alert.
What you can do after
Diagnose/debug with it by locating expensive queries, narrowing criteria, adjusting indexes, and monitoring request-unit consumption.

Read how Microsoft Azure in Action explains query optimization →

AI for Everyday IT

Query optimization is the process of improving a database query so that it executes more efficiently while preserving its intended results.

How it is used
Supports DBA performance troubleshooting by analyzing SQL queries and execution plans.
How deep it goes
Explains staged prompting, useful inputs, bottleneck analysis, and validation, but does not detail optimizer internals.
Examples
Uses poorly performing queries, execution plans, unnecessary joins, indexes, and staged chatbot prompts.
What you can do after
Diagnose performance problems with AI assistance and validate proposed query rewrites.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.