How to Perform JOINs in BigQuery

Galaxy Glossary

How do I perform efficient JOINs in BigQuery?

JOINs combine rows from two or more tables in BigQuery based on related columns, enabling richer, multi-table analysis.

Sign up for the latest in SQL knowledge from the Galaxy Team!
Welcome to the Galaxy, Guardian!
Oops! Something went wrong while submitting the form.

Description

Why use JOINs in BigQuery?

JOINs let you enrich query results by pulling related data from multiple tables in a single statement, reducing round-trips and post-processing.

Which JOIN types does BigQuery support?

BigQuery supports INNER, LEFT (OUTER), RIGHT (OUTER), FULL (OUTER), and CROSS JOINs, plus self-joins and USING clauses for column name shortcuts.

How do I choose BETWEEN ON and USING?

Use USING(column) when the join key has identical names in both tables; otherwise use ON table1.col = table2.col for flexibility and aliasing.

How do I JOIN three or more tables?

Chain JOIN clauses: start with the primary table and join additional tables one at a time, aliasing each table for readability.

Best practices for performant JOINs?

Filter early with WHERE, SELECT only needed columns, avoid CROSS JOINs on large tables, and leverage partitioned tables to keep scans small.

Why How to Perform JOINs in BigQuery is important

How to Perform JOINs in BigQuery Example Usage


-- Show each customer, their latest order date, and total amount
SELECT
  c.id,
  c.name,
  o.order_date,
  o.total_amount
FROM `myshop.customers`  AS c
LEFT JOIN `myshop.orders` AS o
  ON c.id = o.customer_id
QUALIFY o.order_date = (
  SELECT MAX(order_date)
  FROM `myshop.orders` o2
  WHERE o2.customer_id = c.id
);

How to Perform JOINs in BigQuery Syntax


-- Basic syntax
SELECT [column_list]
FROM table1 [AS t1]
JOIN_TYPE JOIN table2 [AS t2]
  ON t1.column = t2.column
[JOIN_TYPE JOIN table3 ON ...]
[WHERE conditions];

-- JOIN_TYPE options
INNER JOIN              -- matched rows only
LEFT JOIN / LEFT OUTER   -- all left rows + matches
RIGHT JOIN / RIGHT OUTER -- all right rows + matches
FULL JOIN / FULL OUTER   -- all rows + matches
CROSS JOIN               -- cartesian product (use cautiously)

-- Ecommerce example: find each customer’s latest order total
SELECT c.id, c.name, o.total_amount
FROM `Customers` AS c
LEFT JOIN `Orders`   AS o
  ON c.id = o.customer_id;

Common Mistakes

Frequently Asked Questions (FAQs)

Can I JOIN tables across different datasets?

Yes. Use fully-qualified names like project.dataset.table in each FROM or JOIN clause.

Does BigQuery support NATURAL JOIN?

No. Use USING() or explicitly list columns with ON instead.

How do I avoid CROSS JOIN explosion?

Add a WHERE clause to limit rows before the CROSS JOIN, or switch to INNER JOIN with matching keys.

Want to learn about other SQL terms?

Trusted by top engineers on high-velocity teams
Aryeo Logo
Assort Health
Curri
Rubie
BauHealth Logo
Truvideo Logo
Welcome to the Galaxy, Guardian!
Oops! Something went wrong while submitting the form.