以下是我的聚合查询,需要1.1秒。此查询具有多个连接。列将优化查询的索引。
EXPLAIN SELECT straight_join
aggsm.tdm_id AS topid,
sum(aggsm.m_count) AS mencnt ,
sum(aggsm.ps_count) AS pscnt,
sum(aggsm.ns_count) AS ngscnt,
topdm.topic_name AS topname
FROM AGG_MENTION AS aggsm
JOIN TOPICDM AS topdm ON aggsm.topicdm_id = topdm.topicdm_id
JOIN LOCATIONDM AS locdm ON aggsm.locationdm_id = locdm.locationdm_id
JOIN CITY AS citydm ON locdm.city_id = citydm.city_id
JOIN STATE AS statedm ON citydm.state_id = statedm.state_id
WHERE aggsm.cdm_id = 11
AND aggsm.ei_type IN (1,2,3,4)
AND aggsm.datedm_id BETWEEN 20130101 AND 20130522
AND statedm.country_id IN (1,2,3,4)
AND topdm.topic_group_id IN (1,2,3,4,5,6,7)
GROUP BY aggsm.topicdm_id
-- ORDER BY aggsm.topicdm_id DESC,sum(aggsm.m_count) DESC
LIMIT 0,200000
以下是解释输出:
1 SIMPLE aggsm ref PRIMARY,datedm_id_UNIQUE,agg_sm_locdm_fk_idx,agg_sm_comdm_fk_idx,agg_sm_topdm_fk_idx,agg_sm_datedm_fk_idx,agg_em_indtype_fk_idx,comp_top_dt,l_idx comp_top_dt 8 const 202129 Using where; Using index
1 SIMPLE topdm eq_ref PRIMARY,topicdm_id_UNIQUE,topdm_grp_id_idx,id_idx PRIMARY 8 opinionleaders.aggsm.topicdm_id 1 Using where
1 SIMPLE locdm eq_ref PRIMARY,city_id_UNIQUE,locationdm_id_UNIQUE,loc_city_fk_idx,id_idx PRIMARY 8 opinionleaders.aggsm.locationdm_id 1
1 SIMPLE citydm eq_ref PRIMARY,city_id_UNIQUE,city_state_fk_idx,id_idx PRIMARY 8 opinionleaders.locdm.city_id 1
1 SIMPLE statedm eq_ref PRIMARY,state_id_UNIQUE,state_country_fk_idx,id_idx PRIMARY 8 opinionleaders.citydm.state_id 1 Using where
取消注释order by子句将导致aggsm表使用'using temporary,using filesort'
我们如何优化查询或定义索引
答案 0 :(得分:0)
1)LIMIT 0,200000绝对不是一个好的解决方案,我几乎看不到你需要如此大量数据的应用程序,将其拆分成块
2)在ORDER BY子句中,您指定并求和(aggsm.m_count) - 这是一个聚合函数,尝试将其作为mencnt(因此ORDER BY aggsm.topicdm_id DESC,mencnt DESC),不确定SQL服务器是否理解它
答案 1 :(得分:0)
稍微重新格式化查询的可读性,并查看关系和相关列以进行索引考虑。由于你的Aggsm表是按topicdm_id分组的,我至少会尝试用这个和列来获取覆盖索引到达你的连接表,这样它就不需要获取原始页面数据,直到它有一个合格的记录跟...共事。另外,包括where子句的组件。我会建议表上的索引
table index
agg_mention ( cdm_id, ei_type, datedm_id, topicdm_id, locationdm_id )
topicdm ( topicdm_id, topic_group_id )
state ( state_id, country_id )
locationdm ( locationdm_id )
city ( city_id )
SELECT straight_join
aggsm.tdm_id AS topid,
sum(aggsm.m_count) AS mencnt,
sum(aggsm.ps_count) AS pscnt,
sum(aggsm.ns_count) AS ngscnt,
topdm.topic_name AS topname
FROM
AGG_MENTION AS aggsm
JOIN TOPICDM AS topdm
ON aggsm.topicdm_id = topdm.topicdm_id
AND topdm.topic_group_id IN (1,2,3,4,5,6,7)
JOIN LOCATIONDM AS locdm
ON aggsm.locationdm_id = locdm.locationdm_id
JOIN CITY AS citydm
ON locdm.city_id = citydm.city_id
JOIN STATE AS statedm
ON citydm.state_id = statedm.state_id
AND statedm.country_id IN (1,2,3,4)
WHERE
aggsm.cdm_id = 11
AND aggsm.ei_type IN (1,2,3,4)
AND aggsm.datedm_id BETWEEN 20130101 AND 20130522
GROUP BY
aggsm.topicdm_id
ORDER BY
aggsm.topicdm_id DESC,
sum(aggsm.m_count) DESC
LIMIT
0,200000