joins

Advanced SQL joins and query optimization

SQL joins combine data from multiple tables. INNER JOIN returns matching rows only. LEFT/RIGHT JOIN includes all rows from one table, nulls for non-matches. FULL OUTER JOIN combines both. I use CROSS JOIN for Cartesian products sparingly—performance k

LATERAL joins and correlated subqueries

LATERAL joins enable correlated subqueries in FROM clause. Each row can reference previous table columns. I use LATERAL for top-N-per-group queries. CROSS JOIN LATERAL iterates for each row. LEFT JOIN LATERAL includes rows without matches. Understandi

Merging datasets safely with join keys and validation

Merges are where silent data corruption often begins. I prefer explicit key audits, join cardinality validation, and indicator columns when investigating row loss or duplication. In production analytics, proving that a join is one_to_one or many_to_on