具有“或”条件的MongoDB查询？
要了解带有或条件的查询，让我们用文档创建一个集合。使用文档创建集合的查询如下-
> db.orConditionDemo.insertOne({"CustomerName":"Larry","ShippingDate":new ISODate("2018-01-29")});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c8ec5262f684a30fbdfd56a")
}
> db.orConditionDemo.insertOne({"CustomerName":"Mike","ShippingDate":new ISODate("2019-04-13")});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c8ec5362f684a30fbdfd56b")
}
> db.orConditionDemo.insertOne({"CustomerName":"Bob","ShippingDate":new ISODate("2019-02-21")});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c8ec5422f684a30fbdfd56c")
}
> db.orConditionDemo.insertOne({"CustomerName":"David","ShippingDate":new ISODate("2019-03-15")});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c8ec5532f684a30fbdfd56d")
}
> db.orConditionDemo.insertOne({"CustomerName":"John","ShippingDate":new ISODate("2019-03-19")});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c8ec56c2f684a30fbdfd56e")
}在find()method的帮助下显示集合中的所有文档。查询如下-
> db.orConditionDemo.find().pretty();
以下是输出-
{
"_id" : ObjectId("5c8ec5262f684a30fbdfd56a"),
"CustomerName" : "Larry",
"ShippingDate" : ISODate("2018-01-29T00:00:00Z")
}
{
"_id" : ObjectId("5c8ec5362f684a30fbdfd56b"),
"CustomerName" : "Mike",
"ShippingDate" : ISODate("2019-04-13T00:00:00Z")
}
{
"_id" : ObjectId("5c8ec5422f684a30fbdfd56c"),
"CustomerName" : "Bob",
"ShippingDate" : ISODate("2019-02-21T00:00:00Z")
}
{
"_id" : ObjectId("5c8ec5532f684a30fbdfd56d"),
"CustomerName" : "David",
"ShippingDate" : ISODate("2019-03-15T00:00:00Z")
}
{
"_id" : ObjectId("5c8ec56c2f684a30fbdfd56e"),
"CustomerName" : "John",
"ShippingDate" : ISODate("2019-03-19T00:00:00Z")
}这是具有多个或条件的查询-
> db.orConditionDemo.find({$or: [{ShippingDate: {$gte: new ISODate()}}, {ShippingDate: null}]}).pretty();以下是输出-
{
"_id" : ObjectId("5c8ec5362f684a30fbdfd56b"),
"CustomerName" : "Mike",
"ShippingDate" : ISODate("2019-04-13T00:00:00Z")
}
{
"_id" : ObjectId("5c8ec56c2f684a30fbdfd56e"),
"CustomerName" : "John",
"ShippingDate" : ISODate("2019-03-19T00:00:00Z")
}