PHP MySQL Match() Against() 全文搜索不适用于某些关键字

Question

我是 php 开发人员，但我遇到了 MySQL 全文搜索的问题。

这是我的查询

select distinct j.jobid,headline,company,country,state,city,location,
date_format(str_to_date(posted_dt, '%m-%d-%Y %H:%i:%s' ), '%M %d, %Y') posted_dt,joblinks 
from jobs j 
left join job_filters jf on jf.jobid = j.jobid 
left join job_emptype_map em on j.jobid = em.jobid 
left join job_sub_emptype_map sem on em.jobid = sem.jobid and em.emp_type = sem.emp_type 
where status=1 
And MATCH (headline,description,pri_skills,company) AGAINST ('java developer' IN natural language MODE) > 1 
And MATCH (location,country,state,city,zipcode,other_loc) AGAINST ('california, United States' WITH QUERY EXPANSION ) > 1 
order by str_to_date(posted_dt,'%m-%d-%Y %H:%i:%s') DESC limit 0,25

我通过上述查询得到了正确的结果。但它需要（显示第 0 - 24 行（共 25 行，查询耗时 50.6951 秒。）

当我更改关键字“ui developer”而不是“java developer”时，我得到 0 个结果

如果我用类似的功能检查关键字“ui developer”，那么我会得到结果。

我不明白为什么匹配功能仅适用于某些关键字，以及为什么当我的托管计划是云时它会花费太多时间。

Answer 1

我现在在云服务器计划中，我已经用类似的功能更新了我的查询，现在我的查询是......

select distinct j.jobid,headline,company,country,state,city,location,date_format(str_to_date(posted_dt, '%m-%d-%Y %H:%i:%s' ), '%M %d, %Y') posted_dt,joblinks, (select count(distinct j.jobid) as jobcount from jobs j left join job_filters jf on jf.jobid = j.jobid left join job_emptype_map em on j.jobid = em.jobid left join job_sub_emptype_map sem on em.jobid = sem.jobid and em.emp_type = sem.emp_type where status = 1 and (concat(headline,' ',description,' ',pri_skills,' ',company) like '%java programer%' ) And ( country like '%United States%' ) ) jobcount from jobs j left join job_filters jf on jf.jobid = j.jobid left join job_emptype_map em on j.jobid = em.jobid left join job_sub_emptype_map sem on em.jobid = sem.jobid and em.emp_type = sem.emp_type where status=1 and (concat(headline,' ',description,' ',pri_skills,' ',company) like '%java programer%' )And ( country like '%United States%' ) order by str_to_date(posted_dt,'%m-%d-%Y %H:%i:%s') DESC limit 0,25   

我已经在上面的查询之间写了选择查询以进行分页，上面的查询得到了很好的结果但是花费了太多时间， 请注意：我的工作表有大约 50,000 多条记录