MongoDB中怎么實現關系運算，針對這個問題，這篇文章詳細介紹了相對應的分析和解答，希望可以幫助更多想解決這個問題的小伙伴找到更簡單易行的方法。

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在MongoDB里面支持的關系查詢操作：大于（$gt），小于（$lt），大于等于（$gte）,小于等于（$lte）,不等于（$ne）,等于（key:value，$eq）。

范例：定義一個員工信息集合
db.emp.drop();
db.emp.insert({"name":"趙一","sex":"男","age":30,"sal":1000,"loc":"北京"});
db.emp.insert({"name":"錢二","sex":"女","age":22,"sal":5000,"loc":"上海"});
db.emp.insert({"name":"孫三","sex":"男","age":40,"sal":2000,"loc":"深圳"});
db.emp.insert({"name":"李四","sex":"女","age":30,"sal":7000,"loc":"北京"});
db.emp.insert({"name":"周五","sex":"女","age":30,"sal":6400,"loc":"北京"});
db.emp.insert({"name":"吳六","sex":"男","age":30,"sal":2500,"loc":"重慶"});
db.emp.insert({"name":"鄭七","sex":"女","age":50,"sal":4700,"loc":"成都"});
db.emp.insert({"name":"王八","sex":"男","age":35,"sal":8000,"loc":"北京"});

> db.emp.find().pretty();
{
        "_id" : ObjectId("599108423268c8e84253be26"),
        "name" : "趙一",
        "sex" : "男",
        "age" : 30,
        "sal" : 1000,
        "loc" : "北京"
}
{
        "_id" : ObjectId("599108423268c8e84253be27"),
        "name" : "錢二",
        "sex" : "女",
        "age" : 22,
        "sal" : 5000,
        "loc" : "上海"
}
{
        "_id" : ObjectId("599108423268c8e84253be28"),
        "name" : "孫三",
        "sex" : "男",
        "age" : 40,
        "sal" : 2000,
        "loc" : "深圳"
}
{
        "_id" : ObjectId("599108423268c8e84253be29"),
        "name" : "李四",
        "sex" : "女",
        "age" : 30,
        "sal" : 7000,
        "loc" : "北京"
}
{
        "_id" : ObjectId("599108423268c8e84253be2a"),
        "name" : "周五",
        "sex" : "女",
        "age" : 30,
        "sal" : 6400,
        "loc" : "北京"
}
{
        "_id" : ObjectId("599108423268c8e84253be2b"),
        "name" : "吳六",
        "sex" : "男",
        "age" : 30,
        "sal" : 2500,
        "loc" : "重慶"
}
{
        "_id" : ObjectId("599108423268c8e84253be2c"),
        "name" : "鄭七",
        "sex" : "女",
        "age" : 50,
        "sal" : 4700,
        "loc" : "成都"
}
{
        "_id" : ObjectId("599108433268c8e84253be2d"),
        "name" : "王八",
        "sex" : "男",
        "age" : 35,
        "sal" : 8000,
        "loc" : "北京"
}

范例：查詢姓名為孫三的信息
> db.emp.find({"name":"孫三"}).pretty();
{
        "_id" : ObjectId("599108423268c8e84253be28"),
        "name" : "孫三",
        "sex" : "男",
        "age" : 40,
        "sal" : 2000,
        "loc" : "深圳"
}

范例：查詢性別為男的人員信息
> db.emp.find({"sex":"男"}).pretty();
{
        "_id" : ObjectId("599108423268c8e84253be26"),
        "name" : "趙一",
        "sex" : "男",
        "age" : 30,
        "sal" : 1000,
        "loc" : "北京"
}
{
        "_id" : ObjectId("599108423268c8e84253be28"),
        "name" : "孫三",
        "sex" : "男",
        "age" : 40,
        "sal" : 2000,
        "loc" : "深圳"
}
{
        "_id" : ObjectId("599108423268c8e84253be2b"),
        "name" : "吳六",
        "sex" : "男",
        "age" : 30,
        "sal" : 2500,
        "loc" : "重慶"
}
{
        "_id" : ObjectId("599108433268c8e84253be2d"),
        "name" : "王八",
        "sex" : "男",
        "age" : 35,
        "sal" : 8000,
        "loc" : "北京"
}

范例：查詢年齡大于30的人員
> db.emp.find({"age":{"$gt":30}}).pretty();
{
        "_id" : ObjectId("599108423268c8e84253be28"),
        "name" : "孫三",
        "sex" : "男",
        "age" : 40,
        "sal" : 2000,
        "loc" : "深圳"
}
{
        "_id" : ObjectId("599108423268c8e84253be2c"),
        "name" : "鄭七",
        "sex" : "女",
        "age" : 50,
        "sal" : 4700,
        "loc" : "成都"
}
{
        "_id" : ObjectId("599108433268c8e84253be2d"),
        "name" : "王八",
        "sex" : "男",
        "age" : 35,
        "sal" : 8000,
        "loc" : "北京"
}

范例：查詢薪水大于等于4700的人員
> db.emp.find({"sal":{"$gte":4700}}).pretty();
{
        "_id" : ObjectId("599108423268c8e84253be27"),
        "name" : "錢二",
        "sex" : "女",
        "age" : 22,
        "sal" : 5000,
        "loc" : "上海"
}
{
        "_id" : ObjectId("599108423268c8e84253be29"),
        "name" : "李四",
        "sex" : "女",
        "age" : 30,
        "sal" : 7000,
        "loc" : "北京"
}
{
        "_id" : ObjectId("599108423268c8e84253be2a"),
        "name" : "周五",
        "sex" : "女",
        "age" : 30,
        "sal" : 6400,
        "loc" : "北京"
}
{
        "_id" : ObjectId("599108423268c8e84253be2c"),
        "name" : "鄭七",
        "sex" : "女",
        "age" : 50,
        "sal" : 4700,
        "loc" : "成都"
}
{
        "_id" : ObjectId("599108433268c8e84253be2d"),
        "name" : "王八",
        "sex" : "男",
        "age" : 35,
        "sal" : 8000,
        "loc" : "北京"
}

范例：查詢姓名不是孫三的信息
> db.emp.find({"name":{"$ne":"孫三"}}).pretty();
{
        "_id" : ObjectId("599108423268c8e84253be26"),
        "name" : "趙一",
        "sex" : "男",
        "age" : 30,
        "sal" : 1000,
        "loc" : "北京"
}
{
        "_id" : ObjectId("599108423268c8e84253be27"),
        "name" : "錢二",
        "sex" : "女",
        "age" : 22,
        "sal" : 5000,
        "loc" : "上海"
}
{
        "_id" : ObjectId("599108423268c8e84253be29"),
        "name" : "李四",
        "sex" : "女",
        "age" : 30,
        "sal" : 7000,
        "loc" : "北京"
}
{
        "_id" : ObjectId("599108423268c8e84253be2a"),
        "name" : "周五",
        "sex" : "女",
        "age" : 30,
        "sal" : 6400,
        "loc" : "北京"
}
{
        "_id" : ObjectId("599108423268c8e84253be2b"),
        "name" : "吳六",
        "sex" : "男",
        "age" : 30,
        "sal" : 2500,
        "loc" : "重慶"
}
{
        "_id" : ObjectId("599108423268c8e84253be2c"),
        "name" : "鄭七",
        "sex" : "女",
        "age" : 50,
        "sal" : 4700,
        "loc" : "成都"
}
{
        "_id" : ObjectId("599108433268c8e84253be2d"),
        "name" : "王八",
        "sex" : "男",
        "age" : 35,
        "sal" : 8000,
        "loc" : "北京"
此時與之前最大的區(qū)別就在于，在一個JSON結構里面需要定義其他的JSON結構，并且這種風格在進行程序操作的時候依然如此。

關于MongoDB中怎么實現關系運算問題的解答就分享到這里了，希望以上內容可以對大家有一定的幫助，如果你還有很多疑惑沒有解開，可以關注創(chuàng)新互聯行業(yè)資訊頻道了解更多相關知識。

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