Multiple Table Joins: Functions
Module: Joins & Relationships
SELECT * FROM orders o INNER JOIN customers c ON o.customer_id = c.id INNER JOIN products p ON o.product_id = p.id;
Chain joins with multiple JOIN clauses
Each join needs its own ON clause
Joins execute left-to-right
Can mix INNER and LEFT joins
Use table aliases for readability
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'
CHECK
Validates a row-level rule whenever data is inserted or updated.
CHECK (salary >= 0)
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
Chain joins with multiple JOIN clauses
Each join needs its own ON clause
Joins execute left-to-right
Can mix INNER and LEFT joins
Use table aliases for readability
Use meaningful table aliases
Put main entity first