00-设计数据库的delete_time字段(不能设置为timestamp)

`delete_time` int(10) UNSIGNED DEFAULT NULL

01-需要在设置软删除的模型里设置

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" alt="" />

定义好模型后,我们就可以使用:

// 软删除
User::destroy(1);
// 真实删除
User::destroy(1,true); $user = User::get(1);
// 软删除
$user->delete();
// 真实删除
$user->delete(true);

默认情况下查询的数据不包含软删除数据,如果需要包含软删除的数据,可以使用下面的方式查询:

User::withTrashed()->find();
User::withTrashed()->select();

如果仅仅需要查询软删除的数据,可以使用

User::onlyTrashed()->find();
User::onlyTrashed()->select();

恢复被软删除的数据

$user = User::onlyTrashed()->find(1);
$user->restore();

软删除仅对模型的删除方法有效,如果直接使用数据库的删除方法则无效,例如下面的方式无效(将不会执行任何操作)

$user = new User;
$user->where('id',1)->delete();

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