有时候复杂的查询需要创建视图,可以简化查询。我们也可以将视图包装成对象,这样查询后在Java中也可以直接封装为对象。

原来的表结构

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" alt="" />

创建视图语句:

create view danger_spot as
SELECT
d.dangerId,d.findtime,d.classtype,d.findperson,d.checkunit,d.address,d.content,d.dangerGrade,d.type,d.unit,d.manager,d.dangerStatusNum,
d.dangerStatus,d.dangerReport,
s.hasSafeMeasure,s.disposeMeasure,s.disposeDate,s.disposePerson
FROM `danger`.`danger` d,spotdispose s where d.dangerId = s.dangerId

 向danger表中插入一条数据后向spotdispose添加一条数据。

系统自动向刷新视图。

aaarticlea/png;base64,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" alt="" />

查询视图:

 SELECT * FROM danger_spot

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" alt="" />

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