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这篇文章主要介绍关于mongodb复杂查询的案例，文中示例代码介绍的非常详细，具有一定的参考价值，感兴趣的小伙伴们一定要看完！

m内嵌文档复杂查询

1、数据结构

{
    "_id":"1412243",
    "info":{
        "data":[
            {
                "broker_id":0,
                "receive_status":0,
                "house_id":"1412243",
                "gov_id":4127238,
                "owner_phone":"",
                "owner_name":"经纪人",
                "source_name":"中原地产",
                "source_logo":"/file/tupian/20230213/5a351abc8fe131513429692_80_80.png",
                "small_logo_url":"/file/tupian/20230213/5a351abbbca1b1513429691_32_32.png",
                "source":2,
                "house_type":"1",
                "pay_type":0,
                "renzheng":"",
                "header_pic":"",
                "receive_time":0,
                "city":7,
                "service_phone":"4008985666,133188",
                "house_source_desc":"房屋信息发布经纪人",
                "source_url":"https://tj.centanet.com/ershoufang/tjnk0007892545.html",
                "house_price":450,
                "fee":"0.00",
                "fee_new":"买方1% 卖方1%",
                "feedback_total":"",
                "feedback_content":[
                ]
            },
            {
                "broker_id":0,
                "receive_status":0,
                "house_id":"1412243",
                "gov_id":2964975,
                "owner_phone":"",
                "owner_name":"经纪人",
                "source_name":"链家地产",
                "source_logo":"/file/tupian/20230213/5a37669b7b3c21513580187_80_80.png",
                "small_logo_url":"/file/tupian/20230213/5a37669a87fc11513580186_32_32.png",
                "source":1,
                "house_type":"1",
                "pay_type":0,
                "renzheng":"",
                "header_pic":"",
                "receive_time":0,
                "city":7,
                "service_phone":"4008790056,7048",
                "house_source_desc":"房屋信息发布经纪人",
                "source_url":"http://tj.lianjia.com/ershoufang/101101622982.html",
                "house_price":450,
                "fee":"0.00",
                "fee_new":"买方2.5%",
                "feedback_total":"",
                "feedback_content":[
                ]
            }
        ],
        "company_ids":4
    },
    "city_name":"天津",
    "city":"tj",
    "cityid":"7",
    "craw_date":"2018-06-30"
}

2、db.books.find({"info.data":{"$elemMatch":{"owner_name":"经纪人","source_name":"中原地产"}}})

这种数据结构  info 是一个对象，data中是一个列表，使用上面的命令就可以把数据筛选出来。

如果info是一个列表，data也是一个列表

db.books.find({info:{"$elemMatch":{data:{"$elemMatch":{house_id:"2185216"}}}}})

使用上面的命令就能把数据筛选出来

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分享标题：关于mongodb复杂查询的案例-创新互联
文章起源：http://scyanting.com/article/cogcip.html