MongoDB查询对象的IN数组 [英] MongoDB query IN array of object
问题描述
我在检索两个馆藏之间的信息时遇到问题.第一个集合存储员工信息:
I have problem to retrieve information between two collections. The first collection stores employees information:
{
"_id" : ObjectId("4f9643967f8b9a3f0a00005a"),
"birth_date" : "1963-09-09",
"departments" : [
{
"departments_id" : ObjectId("4f9643957f8b9a3f0a000007"),
"from_date" : "1990-01-03",
"to_date" : "1990-01-15"
}
],
"first_name" : "Parviz",
"gender" : "M",
"hire_date" : "1990-01-03",
"last_name" : "Lortz",
}
第二个部门信息
{
"_id" : ObjectId("4f9643957f8b9a3f0a000004"),
"dept_name" : "Marketing",
"managers" : [
{
"employees_id" : ObjectId("4f96439b7f8b9a3f0a0186a9"),
"from_date" : "1985-01-01",
"to_date" : "1991-10-01"
},
{
"employees_id" : ObjectId("4f96439b7f8b9a3f0a0186aa"),
"from_date" : "1991-10-01",
"to_date" : "9999-01-01"
}
]
}
我尝试查找:给定员工的所有部门.
我尝试过类似的事情:
employees = db.employees.find({_id:ObjectId("some_id")});
db.departments.find({_id:{$in:...}});
但是我不知道如何从var员工那里解释所有部门的department_id.
But I don't know how I can explain $in department_id of all departments from var employees.
推荐答案
这不能通过简单的查询来完成.您将必须遍历employees.departments,并为每次迭代将其department_id添加到数组中.然后,您可以在第二行中使用此数组.这是您选择的语言中最好的方法.
This can not be done with a simple query. You will have to loop over employees.departments and for each iteration add its departments_id to an array. This array you then can use in your second line. This is something best done in your language of choice.
为了使此操作更容易,您必须更改架构.一种选择是将部门信息存储在员工记录中,但是在您的情况下,您将要复制大量数据.
In order to make this easier, you'll have to change your schema. One option is to store the department information in the employee record, but in your case you'd be duplicating a lot of data.
相反,我建议让每个部门都包含一个带有员工ID和日期的列表,如下所示:
I would instead suggest to have each department contain a list with employee IDs and dates instead like this:
{
"_id" : ObjectId("4f9643957f8b9a3f0a000004"),
"dept_name" : "Marketing",
"managers" : [
]
"employees" : [
{
"employee_id" : ObjectId("4f9643967f8b9a3f0a00005a"),
"from_date" : "1990-01-03",
"to_date" : "1990-01-15"
}
]
}
在这种情况下,您可以简单地运行:
In that case, you can then simply run:
db.departments.find( { "employees.employee_id": ObjectId("some_id") } );
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