A SQL JOIN combines rows from two or more tables using a condition, usually equality between a foreign key and a primary key. It lets one query return related data that is stored separately.
Why it matters
Normalized databases split data across tables, and joins bring it back together at query time. Knowing the join types matters because they decide which rows appear. Joins on unindexed columns are a classic cause of slow queries, so join columns usually need indexes.
Example
SELECT c.name, o.id, o.total
FROM customers c
INNER JOIN orders o ON o.customer_id = c.id;
INNER JOIN returns only customers that have orders. A LEFT JOIN returns every customer, with NULL order columns for those who have none. RIGHT and FULL joins mirror and combine that behavior.
Common mistakes
- Forgetting the
ONcondition, which produces a cross join with every row paired against every row. - Using INNER JOIN when you wanted all rows from one side, silently dropping records.
- Filtering the right table in
WHEREafter a LEFT JOIN, which turns it back into an inner join. Put the condition inON.
Related
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