优化代码SELECT SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 1 THEN 1 ELSE 0 END) AS new_customer_count, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 0 THEN 1 ELSE 0 END) AS old_customer_count, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 1 THEN payment_amount ELSE 0 END) AS new_customer_payment_amount, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 0 THEN payment_amount ELSE 0 END) AS old_customer_payment_amount, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN category = 'A' THEN 1 ELSE 0 END ELSE 0 END) AS category_A_customer_count, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN category = 'A' THEN payment_amount ELSE 0 END ELSE 0 END) AS category_A_payment_amount, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN category = 'B' THEN 1 ELSE 0 END ELSE 0 END) AS category_B_customer_count, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN category = 'B' THEN payment_amount ELSE 0 END ELSE 0 END) AS category_B_payment_amount, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN product_id = 'P1' THEN 1 ELSE 0 END ELSE 0 END) AS product_P1_customer_count, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN product_id = 'P1' THEN payment_amount ELSE 0 END ELSE 0 END) AS product_P1_payment_amount FROM orders WHERE (order_date BETWEEN '2022-10-31' AND '2022-11-11') OR (order_date BETWEEN '2021-10-31' AND '2022-10-30' AND order_date NOT IN (SELECT order_date FROM orders WHERE order_date BETWEEN '2022-10-31' AND '2022-11-11')) OR (order_date BETWEEN '2021-11-12' AND '2022-10-30' AND order_date IN (SELECT order_date FROM orders WHERE order_date BETWEEN '2022-10-31' AND '2022-11-11'))
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(2022年推出)FOX优化算法(代码)是一种模拟红狐狸狩猎行为的元启发式算法(matlab)
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这是一条比较复杂的 SQL 查询语句,其中包含了多个条件判断和聚合函数。这里提供一些可能的优化建议:
1. 使用 EXISTS 替代 IN 子查询
IN 子查询在某些场景下可能会导致性能问题,尤其是当被查询的列表比较大时。可以考虑使用 EXISTS 替代 IN 子查询。例如:
```
SELECT order_date
FROM orders
WHERE EXISTS (
SELECT 1
FROM orders
WHERE order_date BETWEEN '2022-10-31' AND '2022-11-11'
AND order_date = orders.order_date
)
```
2. 使用 UNION 替代 OR
OR 连接多个条件时,可能会导致执行计划的不稳定性和性能问题。可以考虑使用 UNION 连接多个查询,例如:
```
SELECT ...
FROM orders
WHERE order_date BETWEEN '2022-10-31' AND '2022-11-11'
UNION
SELECT ...
FROM orders
WHERE order_date BETWEEN '2021-10-31' AND '2022-10-30'
AND NOT EXISTS (
SELECT 1
FROM orders
WHERE order_date BETWEEN '2022-10-31' AND '2022-11-11'
AND order_date = orders.order_date
)
UNION
SELECT ...
FROM orders
WHERE order_date BETWEEN '2021-11-12' AND '2022-10-30'
AND EXISTS (
SELECT 1
FROM orders
WHERE order_date BETWEEN '2022-10-31' AND '2022-11-11'
AND order_date = orders.order_date
)
```
3. 避免重复计算
在查询语句中,有些条件可能会被重复计算,例如 is_new_customer 和 category。可以考虑在 SELECT 子句中使用子查询或者临时表来避免重复计算。
4. 使用索引
为了提高查询性能,可以在 order_date、is_new_customer、category 和 product_id 字段上创建索引。需要根据实际情况来选择索引类型和创建方式。
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