优化代码SELECT SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 1, 1, 0)) AS new_customer_count, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 0, 1, 0)) AS old_customer_count, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 1, payment_amount, 0)) AS new_customer_payment_amount, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 0, payment_amount, 0)) AS old_customer_payment_amount, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND category = 'A', 1, 0)) AS category_A_customer_count, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND category = 'A', payment_amount, 0)) AS category_A_payment_amount, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND category = 'B', 1, 0)) AS category_B_customer_count, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND category = 'B', payment_amount, 0)) AS category_B_payment_amount, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND product_id = 'P1', 1, 0)) AS product_P1_customer_count, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND product_id = 'P1', payment_amount, 0)) AS product_P1_payment_amount FROM orders o LEFT JOIN (SELECT DISTINCT order_date FROM orders WHERE order_date BETWEEN '2022-10-31' AND '2022-11-11') d1 ON o.order_date = d1.order_date LEFT JOIN (SELECT DISTINCT order_date FROM orders WHERE 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')) d2 ON o.order_date = d2.order_date LEFT JOIN (SELECT DISTINCT order_date FROM orders WHERE 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')) d3 ON o.order_date = d3.order_date WHERE d1.order_date IS NOT NULL OR d2.order_date IS NOT NULL OR d3.order_date IS NOT NULL;

这个 SQL 查询语句的复杂度比较高，可以尝试进行以下优化：

1. 避免使用子查询：可以将重复使用的子查询转化为临时表，并使用 JOIN 进行连接，以减少重复计算。

2. 使用索引：可以在 order_date、is_new_customer、category 和 product_id 字段上创建索引，以加快查询速度。

3. 减少 IF 函数的使用：可以使用 CASE WHEN 语句替换 IF 函数，以提高查询效率。

4. 缩短时间范围：如果数据量较大，可以缩短查询的时间范围，以减少计算量。

5. 分批次查询：如果数据量非常大，可以将查询分成多个批次进行，以避免内存溢出。

综上所述，可以将查询语句进行如下优化：

CREATE TEMPORARY TABLE temp_orders AS 
SELECT DISTINCT order_date
FROM orders 
WHERE order_date BETWEEN '2022-10-31' AND '2022-11-11';

CREATE TEMPORARY TABLE temp_orders1 AS 
SELECT DISTINCT order_date
FROM orders 
WHERE 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'
);

CREATE TEMPORARY TABLE temp_orders2 AS 
SELECT DISTINCT order_date 
FROM orders 
WHERE 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'
);

SELECT 
    SUM(CASE WHEN o.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 o.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 o.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 o.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 o.order_date BETWEEN '2022-10-31' AND '2022-11-11' AND category = 'A' THEN 1 ELSE 0 END) AS category_A_customer_count,
    SUM(CASE WHEN o.order_date BETWEEN '2022-10-31' AND '2022-11-11' AND category = 'A' THEN payment_amount ELSE 0 END) AS category_A_payment_amount,
    SUM(CASE WHEN o.order_date BETWEEN '2022-10-31' AND '2022-11-11' AND category = 'B' THEN 1 ELSE 0 END) AS category_B_customer_count,
    SUM(CASE WHEN o.order_date BETWEEN '2022-10-31' AND '2022-11-11' AND category = 'B' THEN payment_amount ELSE 0 END) AS category_B_payment_amount,
    SUM(CASE WHEN o.order_date BETWEEN '2022-10-31' AND '2022-11-11' AND product_id = 'P1' THEN 1 ELSE 0 END) AS product_P1_customer_count,
    SUM(CASE WHEN o.order_date BETWEEN '2022-10-31' AND '2022-11-11' AND product_id = 'P1' THEN payment_amount ELSE 0 END) AS product_P1_payment_amount
FROM orders o 
LEFT JOIN temp_orders d1 ON o.order_date = d1.order_date 
LEFT JOIN temp_orders1 d2 ON o.order_date = d2.order_date 
LEFT JOIN temp_orders2 d3 ON o.order_date = d3.order_date 
WHERE d1.order_date IS NOT NULL OR d2.order_date IS NOT NULL OR d3.order_date IS NOT NULL;

这样可以减少重复计算，使用 CASE WHEN 语句替换 IF 函数，同时避免了多次查询子查询的操作。同时，如果数据量较大，可以缩小查询时间范围，或者分批次查询，以减少内存使用。