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这篇文章主要介绍了MongoDB模糊查询操作的示例分析，具有一定借鉴价值，感兴趣的朋友可以参考下，希望大家阅读完这篇文章之后大有收获，下面让小编带着大家一起了解一下。
1.作用与语法描述
作用： 正则表达式是使用指定字符串来描述、匹配一系列符合某个句法规则的字符串。许多程序设计语言都支持利用正则表达式进行字符串操作。MongoDB 使用 $regex 操作符来设置匹配字符串的正则表达式。
语法一
{ <field>: { $regex: /pattern/, $options: '<options>' } }
{ <field>: { $regex: 'pattern', $options: '<options>' } }
{ <field>: { $regex: /pattern/<options> } }语法二
{ <field>: /pattern/<options> }2.案例演示
假设MongoDB中存放了我们OrderService服务的消息信息，其数据如下：
（以下为演示所用到的9个文档）
{
"_id" : ObjectId("5d305b1c4857fc49c0c14c81"),
"order" : "QQ00001",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>ERR</Head><ERROR>重复下单</ERROR></Response>\""
},
{
"_id" : ObjectId("5d305b3b4857fc49c0c14c82"),
"order" : "QQ00001",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>ERR</Head><ERROR>重复下单</ERROR></Response>\""
},
{
"_id" : ObjectId("5d305b404857fc49c0c14c83"),
"order" : "QQ00002",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>ERR</Head><ERROR>重复下单</ERROR></Response>\""
},
{
"_id" : ObjectId("5d305b454857fc49c0c14c84"),
"order" : "QQ00002",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>ERR</Head><ERROR>重复下单</ERROR></Response>\""
},
{
"_id" : ObjectId("5d305b4b4857fc49c0c14c85"),
"order" : "QQ00003",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>ERR</Head><ERROR>重复下单</ERROR></Response>\""
},
{
"_id" : ObjectId("5d305b4f4857fc49c0c14c86"),
"order" : "QQ00003",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>ERR</Head><ERROR>重复下单</ERROR></Response>\""
},
{
"_id" : ObjectId("5d305bb74857fc49c0c14c87"),
"order" : "QQ00003",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>OK</Head><Body><OrderResponse filter_mmm=\\\"2\\\" destcity=\\\"shenzheng\\\" origincode=\\\"QQ0003\\\" /></Body></Response>\""
},
{
"_id" : ObjectId("5d305bd14857fc49c0c14c88"),
"order" : "QQ00002",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>OK</Head><Body><OrderResponse filter_mmm=\\\"2\\\" destcity=\\\"zhongshan\\\" origincode=\\\"QQ0002\\\" /></Body></Response>\""
},
{
"_id" : ObjectId("5d305be94857fc49c0c14c89"),
"order" : "QQ00001",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>OK</Head><Body><OrderResponse filter_mmm=\\\"2\\\" destcity=\\\"zhongshan\\\" origincode=\\\"QQ0001\\\" /></Body></Response>\""
}需求： 查询 data 字段 含有 字符 <Head>OK</Head>的文档
执行代码如下：
db.dbtestregex.find({data:{ $regex:/<Head>OK<\/Head>/}})查询代码中的 \ 为转移符，以下查询语句也是如此。
返回结果如下：
{
"_id" : ObjectId("5d305bb74857fc49c0c14c87"),
"order" : "QQ00003",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>OK</Head><Body><OrderResponse filter_mmm=\\\"2\\\" destcity=\\\"shenzheng\\\" origincode=\\\"QQ0003\\\" /></Body></Response>\""
},
{
"_id" : ObjectId("5d305bd14857fc49c0c14c88"),
"order" : "QQ00002",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>OK</Head><Body><OrderResponse filter_mmm=\\\"2\\\" destcity=\\\"zhongshan\\\" origincode=\\\"QQ0002\\\" /></Body></Response>\""
},
{
"_id" : ObjectId("5d305be94857fc49c0c14c89"),
"order" : "QQ00001",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>OK</Head><Body><OrderResponse filter_mmm=\\\"2\\\" destcity=\\\"zhongshan\\\" origincode=\\\"QQ0001\\\" /></Body></Response>\""
}上面的查询命令也可以改写成：
db.dbtestregex.find({data:/<Head>OK<\/Head>/})其查询结果是一样的，如下：
{
"_id" : ObjectId("5d305bb74857fc49c0c14c87"),
"order" : "QQ00003",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>OK</Head><Body><OrderResponse filter_mmm=\\\"2\\\" destcity=\\\"shenzheng\\\" origincode=\\\"QQ0003\\\" /></Body></Response>\""
},
{
"_id" : ObjectId("5d305bd14857fc49c0c14c88"),
"order" : "QQ00002",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>OK</Head><Body><OrderResponse filter_mmm=\\\"2\\\" destcity=\\\"zhongshan\\\" origincode=\\\"QQ0002\\\" /></Body></Response>\""
},
{
"_id" : ObjectId("5d305be94857fc49c0c14c89"),
"order" : "QQ00001",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>OK</Head><Body><OrderResponse filter_mmm=\\\"2\\\" destcity=\\\"zhongshan\\\" origincode=\\\"QQ0001\\\" /></Body></Response>\""
}还可以写成：
db.dbtestregex.find({data:{ $regex:'<Head>OK<\/Head>'}})
其实现功能一样。
3.类关系型数据库中的 not like 功能实现
反向查询虽然不常见，但也是我们DBA必须的。下面我们做一个案例演示，看看在MongoDB中，怎么实现not like 功能的查询。
需求 查询data 字段中不含 <Head>OK</Head>的文档
执行脚本如下：
db.dbtestregex.find({data:{ $not: /<Head>OK<\/Head>/ }})返回的文档如下;
{
"_id" : ObjectId("5d305b1c4857fc49c0c14c81"),
"order" : "QQ00001",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>ERR</Head><ERROR>重复下单</ERROR></Response>\""
},
{
"_id" : ObjectId("5d305b3b4857fc49c0c14c82"),
"order" : "QQ00001",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>ERR</Head><ERROR>重复下单</ERROR></Response>\""
},
{
"_id" : ObjectId("5d305b404857fc49c0c14c83"),
"order" : "QQ00002",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>ERR</Head><ERROR>重复下单</ERROR></Response>\""
},
{
"_id" : ObjectId("5d305b454857fc49c0c14c84"),
"order" : "QQ00002",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>ERR</Head><ERROR>重复下单</ERROR></Response>\""
},
{
"_id" : ObjectId("5d305b4b4857fc49c0c14c85"),
"order" : "QQ00003",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>ERR</Head><ERROR>重复下单</ERROR></Response>\""
},
{
"_id" : ObjectId("5d305b4f4857fc49c0c14c86"),
"order" : "QQ00003",
"data" : "\"<?xml version='1.0' encoding='UTF-8'?><Response service=\\\"OrderService\\\"><Head>ERR</Head><ERROR>重复下单</ERROR></Response>\""
}感谢你能够认真阅读完这篇文章，希望小编分享的“MongoDB模糊查询操作的示例分析”这篇文章对大家有帮助，同时也希望大家多多支持亿速云，关注亿速云行业资讯频道，更多相关知识等着你来学习!
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