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create table inquiry ( id int primary key, userid int, productdescription json ); insert into inquiry values (327, 128, '[ {"productkey":"yrty","productvalue":"700*600","quantity":"5","note":"round"}, {"productkey":"c","productvalue":"600*4000","quantity":"1000","note":"notess"}, {"productkey":"rtyrty","productvalue":"600*900","quantity":"3","note":"tertert"} ]'); create table providerinqlog ( provider_id int, status_inq int, price_json json, time_json json ); insert into providerinqlog values (159, 2, '["70","30","60"]', '["3 mons","200","4 week"]'); select j.productkey, j.productvalue, json_unquote(json_extract(providerinqlog.price_json, concat('$[', j.rownum, ']'))) as price, json_unquote(json_extract(providerinqlog.time_json, concat('$[', j.rownum, ']'))) as time from inquiry cross join json_table(inquiry.productdescription, '$[*]' columns ( productkey varchar(10) path '$.productkey', productvalue varchar(10) path '$.productvalue', quantity int path '$.quantity', note text path '$.note', rownum for ordinality )) as j cross join providerinqlog where j.productkey = 'c' and j.productvalue = '600*4000' AND inquiry.userid=128 and inquiry.id!=320 and providerinqlog.provider_id=159 and (providerinqlog.status_inq=2 OR providerinqlog.status_inq=3);
productkey
productvalue
price
time
c
600*4000
60
4 week