BigQuery 入門
Matthew Forrest
Field CTO
INNER JOIN:兩個資料表同時存在的值。
LEFT JOIN:左表全部列,搭配右表相符列。
RIGHT JOIN:右表全部列,搭配左表相符列。
FULL JOIN:兩表的所有列,含相符與不相符。
CROSS JOIN:兩表的每一列與每一列兩兩配對。

Customers:左表
Orders:右表
INNER JOIN:只顯示有下單的客戶與其訂單
LEFT JOIN:顯示所有客戶,就算沒有下過單
RIGHT JOIN:顯示所有訂單,就算缺少客戶 ID
FULL JOIN:顯示所有客戶與所有訂單,就算彼此未對應
CROSS JOIN:不加條件,將每筆訂單配對到每位客戶
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 入門