BigQuery 入门
Matthew Forrest
Field CTO
INNER JOIN:两个表中都存在的值。
LEFT JOIN:左表的所有行,匹配右表。
RIGHT JOIN:右表的所有行,匹配左表。
FULL JOIN:两个表的所有行,包含匹配与不匹配。
CROSS JOIN:两个表的每行两两配对。

Customers:左表
Orders:右表
INNER JOIN:匹配的客户及其订单
LEFT JOIN:显示所有客户,即使没有下单
RIGHT JOIN:显示所有订单,即使缺少客户 ID
FULL JOIN:显示所有客户和订单,即使未发生交互
CROSS JOIN:不设条件,将每个订单与每个客户配对
SELECT
c.customer_id, s.product_name
FROM customers c
-- The INNER keyword is optional
JOIN sales_data s
ON c.customer_id = s.customer_id;
| customer_id | product_name |
|-------------|----------------------|
| 1 | Bluetooth Headphones |
| 2 | Running Shoes |
SELECT
c.customer_id, s.product_name
FROM customers c
LEFT JOIN sales_data s
ON c.customer_id = s.customer_id;
| customer_id | product_name |
|-------------|----------------------|
| 1 | Bluetooth Headphones |
| 2 | Running Shoes |
| 3 | null |
SELECT
c.customer_id, s.product_name
FROM customers c
RIGHT JOIN sales_data s
ON c.customer_id = s.customer_id;
| customer_id | product_name |
|-------------|----------------------|
| 1 | Bluetooth Headphones |
| 2 | Running Shoes |
| null | External Microphone |
SELECT
c.customer_id, s.product_name
FROM customers c
OUTER JOIN sales_data s
ON c.customer_id = s.customer_id;
| customer_id | product_name |
|-------------|----------------------|
| 1 | Bluetooth Headphones |
| 2 | Running Shoes |
| 3 | null |
| null | External Microphone |
SELECT
c.customer_id,
s.product_name,
-- Adding table names separated
-- by a comma is a CROSS JOIN
-- Order is determined by the
-- left table, here "customers"
FROM customers c, sales_data s;
| customer_id | product_name |
|-------------|----------------------|
| 1 | Bluetooth Headphones |
| 1 | null |
| 2 | Bluetooth Headphones |
| 2 | null |
| 3 | null |
| 3 | Bluetooth Headphones |
SELECT
c.customer_id,
payments.method
FROM customers c,
UNNEST(
customers.payment_methods
) payments;
| customer_id | product_name |
|-------------|--------------|
| 1 | Visa |
| 1 | Mastercard |
| 1 | Venmo |
| 1 | Paypal |
| 2 | Amex |
| 2 | Visa |
BigQuery 入门