JOINs combine rows from two or more tables in BigQuery based on related columns, enabling richer, multi-table analysis.
JOINs let you enrich query results by pulling related data from multiple tables in a single statement, reducing round-trips and post-processing.
BigQuery supports INNER, LEFT (OUTER), RIGHT (OUTER), FULL (OUTER), and CROSS JOINs, plus self-joins and USING clauses for column name shortcuts.
Use USING(column)
when the join key has identical names in both tables; otherwise use ON table1.col = table2.col
for flexibility and aliasing.
Chain JOIN clauses: start with the primary table and join additional tables one at a time, aliasing each table for readability.
Filter early with WHERE, SELECT only needed columns, avoid CROSS JOINs on large tables, and leverage partitioned tables to keep scans small.
Yes. Use fully-qualified names like project.dataset.table
in each FROM or JOIN clause.
No. Use USING()
or explicitly list columns with ON
instead.
Add a WHERE clause to limit rows before the CROSS JOIN, or switch to INNER JOIN with matching keys.