如何用“ like”查询MongoDB？
您可以使用“like”轻松查询MongoDB：
db.yourCollectionName.find({"yourFieldName" : /.*yourMatchingValue.*/}).pretty();为了理解上述语法，让我们创建包含一些文档的集合。在这里，我们有一个名为“employee”的集合。查询如下：
> db.employee.insert({"EmployeeName":"John","EmployeeSalary":450000});
WriteResult({ "nInserted" : 1 })
> db.employee.insert({"EmployeeName":"Carol","EmployeeSalary":150000});
WriteResult({ "nInserted" : 1 })
> db.employee.insert({"EmployeeName":"James","EmployeeSalary":550000});
WriteResult({ "nInserted" : 1 })
> db.employee.insert({"EmployeeName":"Jace","EmployeeSalary":670000});
WriteResult({ "nInserted" : 1 })
> db.employee.insert({"EmployeeName":"Larry","EmployeeSalary":1000000});
WriteResult({ "nInserted" : 1 })现在，您可以使用find()方法显示集合中的所有文档。查询如下：
> db.employee.find().pretty();
以下是输出：
{
"_id" : ObjectId("5c6c0b2e68174aae23f5ef59"),
"EmployeeName" : "John",
"EmployeeSalary" : 450000
}
{
"_id" : ObjectId("5c6c0b3b68174aae23f5ef5a"),
"EmployeeName" : "Carol",
"EmployeeSalary" : 150000
}
{
"_id" : ObjectId("5c6c0b4768174aae23f5ef5b"),
"EmployeeName" : "James",
"EmployeeSalary" : 550000
}
{
"_id" : ObjectId("5c6c0b8f68174aae23f5ef5c"),
"EmployeeName" : "Jace",
"EmployeeSalary" : 670000
}
{
"_id" : ObjectId("5c6c0b9e68174aae23f5ef5d"),
"EmployeeName" : "Larry",
"EmployeeSalary" : 1000000
}这是MongoDB中带有“like”运算符的查询：
> db.employee.find({"EmployeeName":/.*J.*/}).pretty();以下是输出：
{
"_id" : ObjectId("5c6c0b2e68174aae23f5ef59"),
"EmployeeName" : "John",
"EmployeeSalary" : 450000
}
{
"_id" : ObjectId("5c6c0b4768174aae23f5ef5b"),
"EmployeeName" : "James",
"EmployeeSalary" : 550000
}
{
"_id" : ObjectId("5c6c0b8f68174aae23f5ef5c"),
"EmployeeName" : "Jace",
"EmployeeSalary" : 670000
}热门推荐
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