在mysql中查询不区分大小写重复的数据,往往会用到子查询,并在子查询中使用upper函数来将条件转化为大写。如:
代码如下:
select * from staticcatalogue WHERE UPPER(Source) IN (SELECT UPPER(Source) FROM staticcatalogue GROUP BY UPPER(Source) having count(UPPER(Source))>1) ORDER BY upper(Source) DESC;
这条语句的执行效率是非常低的,特别是Source字段没有加索引。尤其是最忌讳的在查询条件中使用了函数,这将极大的降低查询速度,如果查询十万条数据以内的10分钟内还能获取到数据,如果是查询几十万条的话,会直接把服务器跑死的,此时可以通过一个临时表,并且加索引,再查询。这样可以提高很多的速度
代码如下:
CREATE TABLE staticcatalogue_tmp SELECT UPPER(Source) AS Source FROM staticcatalogue GROUP BY UPPER(Source) having count(UPPER(Source))>1;
ALTER TABLE staticcatalogue_tmp add INDEX TX_1 (Source);
select s.* from staticcatalogue s WHERE UPPER(s.Source) IN (SELECT st.Source FROM staticcatalogue_tmp st) ORDER BY UPPER(s.Source) DESC ;
以上就是本文sql优化方案的全部内容了,希望大家能够喜欢。

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