
优化 mysql 商品销售情况统计查询性能
问题描述:
针对如下 sql 查询:
select p.title,
count(o.id) as total,
coalesce(sum(o.amount), 0) as success_amount,
coalesce(sum(success.amount), 0) as failed_amount,
coalesce(sum(failed.amount), 0) as total_amount,
count(success.id) as success_total,
count(failed.id) as failed_total
from goods as g
left join orders as o on o.goods_id = g.id
left join orders as success on success.goods_id = g.id and success.status = 1
left join orders as failed on failed.goods_id = g.id and failed.status = 2
group by `p`.`id`
order by total desc
limit 10当查询时间范围较小时,查询速度较快,但当查询范围扩大时,查询速度极慢。
优化建议:
SELECT g.title,
COUNT(*) AS total,
COALESCE(SUM(o.amount), 0) AS total_amount,
COALESCE(SUM(IF(o.status = 1, o.amount, 0)), 0) AS success_amount,
COALESCE(SUM(IF(o.status = 2, o.amount, 0)), 0) AS failed_amount,
COALESCE(SUM(o.status = 1), 0) AS success_total,
COALESCE(SUM(o.status = 2), 0) AS failed_total
FROM orders AS o
JOIN goods AS g ON g.id = o.goods_id
WHERE o.create_time BETWEEN 'xxx' AND 'yyy'
GROUP BY o.id
ORDER BY total DESC
LIMIT 10注:
由于数据量较小(商品数量:8000,订单数量:100000),考虑使用 sqlite 代替 mysql 进行查询,可以获得较好的性能。
以上就是如何优化 MySQL 商品销售情况统计查询性能,使其在查询时间范围扩大时也能保持快速响应?的详细内容,更多请关注php中文网其它相关文章!
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