mysql查询语句优化

用explain优化了一个营业日汇总报表的查询。将一处type为all的查询改为range。

sql是一个报表使用：

EXPLAIN SELECT DATE_FORMAT(t1.business_date,'%Y-%m-%d') AS business_date, IF(t3.people_num>0, (t1.need_pay_amount/t3.people_num),0) AS avg_people_money,..
FROM
(
SELECT (SUM(timer_charge) + SUM(time_out_money)) AS timer_charge, 0.00 AS avg_people_money, ..
FROM consumption_history c
WHERE c.`status_code` = 1 AND c.`business_date`>='2014-12-04' AND c.`business_date`<='2014-12-04'
GROUP BY c.`business_date`
) t1
LEFT JOIN
(
SELECT GROUP_CONCAT(CONCAT(p.payment_pattern_name, '=', h.payment_money)) AS payment_money_info,SUM(IF(p.payment_property=1,h.payment_money,0)) AS actually_pay_money,..
FROM consumption_history c
INNER JOIN consumption_payment_history h ON  h.consumption_id=c.`consumption_id`
INNER JOIN payment_pattern p ON h.`payment_type_id`=p.`payment_pattern_id`
WHERE c.`status_code` = 1  AND c.`business_date`>='2014-12-04' AND c.`business_date`<='2014-12-04'
GROUP BY c.`business_date`
) t2 ON t1.business_date = t2.business_date
LEFT JOIN
(
SELECT business_date,SUM(people_num) AS people_num, SUM(order_amount) AS dish_sale_amount
FROM dining_order_history c
WHERE  c.`status_code` = 1  AND c.`business_date`>='2014-12-04' AND c.`business_date`<='2014-12-04'
GROUP BY c.`business_date`
) t3 ON t1.business_date=t3.business_date
ORDER BY t1.`business_date`

可以看到explain的结果，这里重点说明下几个列





对type查询方式做下简单说明





在一个consumption_history达到几万条(数据量具体多少forget了)的情况下，性能优化相当明显，从30秒连接超时，到1秒出结果。

看来上述sql是优化的比较到位了。