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":"http://file.zhugefang.com/5a351abc8fe131513429692_80_80.png","small_logo_url":"http://file.zhugefang.com/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":"http://file.zhugefang.com/5a37669b7b3c21513580187_80_80.png","small_logo_url":"http://file.zhugefang.com/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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