How can the following SQL statement be optimized?

problem description

the following SQL statement exists: 

 SELECT `h1`.`oid`,`hr`.`uid`,`h1`.`bid`,`isself`,`tag`,h1.name as hname,
h1.add as hadd,
case when isself=1 then h2.name else h3.name end name ,
case when isself=1 then h2.add else h3.add end add
FROM `interv` `h1`
LEFT JOIN `relative` `hr` ON `h1`.`relative`=hr.relative and h1.oid=hr.oid
LEFT JOIN `self` `h2` ON `hr`.`uid`=`h2`.`uid`
LEFT JOIN `scrapy` `h3` ON `hr`.`uid`=`h3`.`uid`
WHERE  `h1`.`upon` = 1 
    and (case when isself=1 then h2.status else h3.status end)=2
    *and (case when isself=1 then h2.cid else h3.cid end)=2* 
order by h1.updatetime desc,
h1.createtime desc
limit 50

the environmental background of the problems and what methods you have tried

now I"m building a joint index for updatetime,createtime in H1, joint indexes for status and cid in tables of H2 and h3, and then indexes for status and cid separately. But now the execution efficiency is poor. The explain is as follows

wherecase when cid0.2s1s+

:



Mysql
Jun.19,2021
The

H1 table does not use an index, so the type type is index (full index scan)

give the following table structure

there is no direct relationship between H2 and h3. It is recommended to disassemble 2 SQL, to facilitate understanding 

SELECT *
FROM (
    (
        SELECT *
        FROM h1, hr, h2
        LIMIT 50
    )
    UNION
    (
        SELECT *
        FROM h1, hr, h3
        LIMIT 50
    )    
) a
ORDER BY a.time
LIMIT 50;

you say that you merge self and scrapy into one table, add more isself fields to distinguish them, and then set up a uid,cid,status joint index.
really needs to be separated. It is recommended that self and scrapy tables directly add a uid,cid,status joint index to have a try.

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