我有一个优化此查询的任务,任何想法将不胜感激。
SELECT DISTINCT `br`.`id` AS `branch_id`
, `br`.`store_id`
, `br`.`longitude`
, `br`.`latitude`
, `br`.`town_id`
, `br`.`post_region`
, `cb`.`cat0_id`
, `cb`.`cat1_id`
, `cb`.`cat2_id`
, `plan`.`listing_plan_id`
, `cat0`.`cat_topid`
, `cg`.`tarrif`
FROM `mvcl_local_new`.`branch` AS `br`
INNER JOIN `mvcl_local_new`.`voucher_branch` AS `vb` ON br.id = vb.branch_id
INNER JOIN `mvcl_local_new`.`voucher` AS `v` ON v.id = vb.voucher_id
INNER JOIN `category_voucher` AS `cb` ON cb.voucher_id = v.id
INNER JOIN `category_voucher_listing_plans` AS `plan` ON plan.voucher_id = v.id
INNER JOIN `category_level0` AS `cat0` ON cb.cat0_id = cat0.id
LEFT JOIN `category_tariffs` AS `cg` ON cg.voucher_id = v.id
WHERE (
br.latitude != 0
and br.longitude != 0
and br.post_region <> ''
and valid_from < 1286876423
and expires > 1286876423
and
(
(
plan.listing_plan_id IN (1,2,3)
and cg.town_id = br.town_id
and cg.is_active = 1
and cg.status_code='Active'
and cg.tarrif_id=0
)
or plan.listing_plan_id=4
)
);
答案 0 :(得分:2)
对于优化查询,在dbForge Studio For MySQL中使用MySQL Profiler非常方便。