Mongodb Spring数据Mongo DB查询嵌入式阵列

我在mongo集合中有一个名为（CustomerInformation）的文档 具有以下结构

        {     "_id" : ObjectId("58f5e68c8205281d68bbb290"), 
            "_class" : "com.test.dataservices.entity.CustomerInformation", 
            "organizationInformation" : {
                "_id" : "123", 
                "companyName" : "Test1", 
                "ibanNumber" : "12345e", 
                "address" : "estates", 
                "contractInformation" : {
                    "duration" : NumberInt(0), 
                    "contractType" : "Gold", 
                    "totalUsers" : NumberInt(0)
                }, 
                "users" : [
                    {

                        "firstName" : "testuser1", 
                        "emailAddress" : "testuser1@test.com", 
                        "password" : "test1@123", 
                        "userAccessType" : "admin"
                    }, 
                    {

                        "firstName" : "testuser2", 
                        "emailAddress" : "testuser2@test.com", 
                        "password" : "test2@123", 
                        "userAccessType" : "user"
                    }
                ]
            }
        }

现在，我只想检索具有匹配电子邮件地址和密码的用户信息。我正在做如下的尝试

Criteria elementMatchCriteria = Criteria.where("organizationInformation.users").
    elemMatch(Criteria.where("emailaddress").is("testuser1@test.com").and("password").is(test1@123));

    BasicQuery query = new BasicQuery(elementMatchCriteria.getCriteriaObject());

  CustomerInformation customer =mongoOperations.findOne(query, CustomerInformation.class);

我正在获取包含所有用户数组的完整文档，我只想检索匹配的用户信息电子邮件地址和密码。 我的查询或数据模型有什么问题？

---

有什么建议吗？谢谢大家!

您可以将聚合查询与$unwind一起使用来实现这一点

db.collection.aggregate([
    {
        $unwind:"$organizationInformation.users"
    },
    {
        $match:{
            "organizationInformation.users.emailAddress":"testuser1@test.com",
            "organizationInformation.users.password":"test1@123"
        }
    },
    {
        $project:{
            "organizationInformation.users":1
        }
    }
 ])

结果是：

{
    "_id" : ObjectId("58f5e68c8205281d68bbb290"),
    "organizationInformation" : {
        "users" : {
            "firstName" : "testuser1",
            "emailAddress" : "testuser1@test.com",
            "password" : "test1@123",
            "userAccessType" : "admin"
        }
    }
}

{
    "_id" : ObjectId("58f5e68c8205281d68bbb290"),
    "user" : {
        "firstName" : "testuser1",
        "emailAddress" : "testuser1@test.com",
        "password" : "test1@123",
        "userAccessType" : "admin"
    }
}

或

结果是：

{
    "_id" : ObjectId("58f5e68c8205281d68bbb290"),
    "organizationInformation" : {
        "users" : {
            "firstName" : "testuser1",
            "emailAddress" : "testuser1@test.com",
            "password" : "test1@123",
            "userAccessType" : "admin"
        }
    }
}

{
    "_id" : ObjectId("58f5e68c8205281d68bbb290"),
    "user" : {
        "firstName" : "testuser1",
        "emailAddress" : "testuser1@test.com",
        "password" : "test1@123",
        "userAccessType" : "admin"
    }
}

---

使用位置投影

Criteria elementMatchCriteria = Criteria.where("organizationInformation.users").elemMatch(Criteria.where("emailAddress").is("testuser1@test.com").and("password").is("test1@123"));
Query query = Query.query(elementMatchCriteria);
query.fields().position("organizationInformation.users", 1);
CustomerInformation customer =mongoOperations.findOne(query, CustomerInformation.class);