Join Order & Optimization Strategies: Functions
Module: Joins & Relationships
SELECT * FROM small_table s JOIN large_table l ON s.id = l.small_id; -- Optimizer typically processes small table first
Optimizer chooses join order automatically
Join order in SQL is logical, not physical
Can influence with subqueries or CTEs
STRAIGHT_JOIN forces order (MySQL)
EXPLAIN shows actual join order
Core references in this topic include WHERE, =, <, >, <=, >=. Learn what each one does, when to use it, and the execution or engine rules that matter.
WHERE
Filters rows before projection and sorting. It decides which rows continue through the query pipeline.
SELECT ... FROM table WHERE condition;
Most performance issues start with a weak WHERE clause or a missing supporting index.
=
Returns rows where the left and right values are exactly equal.
column = value
Use with exact matches. Do not use = NULL.
<, >, <=, >=
Range comparison operators for less-than, greater-than, and inclusive boundary checks.
salary >= 80000
ANY / ALL
Compares one value against every or at least one value from a subquery result.
salary > ALL (SELECT salary FROM interns)
INTERVAL
Represents a duration that can be added to or subtracted from dates and timestamps.
order_date + INTERVAL '7 days'
SUM
Adds numeric values together across the current group or window frame.
SUM(revenue)
GROUP BY
Collects rows into groups so aggregate functions can compute one result per group.
GROUP BY department_id
HAVING
Filters groups after aggregation has been computed.
HAVING COUNT(*) > 5
FILTER
Applies an aggregate only to rows that satisfy an extra predicate.
COUNT(*) FILTER (WHERE status = 'active')
ROWS / RANGE
Defines how a window frame is sliced around the current row.
ROWS BETWEEN 3 PRECEDING AND CURRENT ROW
Optimizer chooses join order automatically