liveBook · Manning

EXPLAIN

EXPLAIN is an SQL statement that reports a query’s execution plan and, when analyzing execution, may include observed runtime statistics.

How 3 Manning books explain it

Just Use Postgres!

EXPLAIN ANALYZE is a PostgreSQL command form that executes a statement and displays its execution plan with actual runtime details.

How it is used
Diagnoses query performance by comparing planned access methods with actual execution metrics.
How deep it goes
Distinguishes estimated plans from executed plans and adds timing, row, loop, buffer, and statement-effect details.
Examples
Demonstrates an indexed player lookup and an extended plan reporting shared buffer hits.
What you can do after
Diagnose/debug with it: verify access methods and compare planning, execution, row, loop, and buffer measurements.

Read how Just Use Postgres! explains EXPLAIN →

PostgreSQL Mistakes and How to Avoid Them

EXPLAIN ANALYZE is a PostgreSQL command option that executes a statement and reports its observed execution timings together with its query plan.

How it is used
Diagnoses slow PostgreSQL queries by comparing selected plans with observed component timings.
How deep it goes
Explains planner cost selection, statistics, configuration, scan choices, and actual timings, while deferring detailed interpretation of specialized plan nodes.
Examples
Uses a count of open support tickets to contrast a Seq Scan with Index Only Scans before and after indexing.
What you can do after
Diagnose/debug with it by locating slow plan operations and validating indexing choices against actual execution timings.

Read how PostgreSQL Mistakes and How to Avoid Them explains EXPLAIN →

Build Financial Software with Generative AI (From Scratch)

EXPLAIN ANALYZE is an SQL command that executes a query and reports its execution plan and runtime statistics.

How it is used
Guides SQL implementation choices by combining query measurements with application profiling and maintainability judgment.
How deep it goes
Defines execution-plan and runtime-statistics analysis, then stops short of documenting specific plan operators or tuning procedures.
Examples
Compares a company-details query with a PostgreSQL CTE that aggregates company addresses and phones as JSON.
What you can do after
Evaluate query alternatives with measured execution behavior before choosing a clearer, faster, or more maintainable implementation.

Read how Build Financial Software with Generative AI (From Scratch) explains EXPLAIN →

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.