Mongodb 删除文档Delete与Remove的区别
db.collection.remove() 此方法已被 mongosh 弃用
| 已弃用的方法 | 替代方法 |
|---|---|
| db.collection.remove() | db.collection.deleteOne() db.collection.deleteMany() db.collection.findOneAndDelete() db.collection.bulkWrite() |
5.0版本更改。
db.collection.remove(
<query>,
{
justOne: <boolean>,
writeConcern: <document>,
collation: <document>,
let: <document> // Added in MongoDB 5.0
}
)
db.collection.remove() 方法可以具有两种语法之一。
remove()方法可以采用查询文档和可选的 justOne 布尔值参数及操作方法区分
详细参数区别请参考下面文档：
删除所有文档
要从集合中删除所有文档，请将空过滤器文档传递 {} 给该 db.collection.deleteMany()方法。
db.collection.deleteMany() 具有以下语法：
db.collection.deleteMany(
<filter>,
{
writeConcern: <document>,
collation: <document>
}
)
以下示例从集合中删除所有文档 myCollection ：
sit_rs1:PRIMARY> db.myCollection.find()
{ "_id" : 1, "a" : 1, "b" : 1 }
{ "_id" : 0, "a" : 1, "b" : 1 }
sit_rs1:PRIMARY> db.myCollection.deleteMany({})
{ "acknowledged" : true, "deletedCount" : 2 }
sit_rs1:PRIMARY> db.myCollection.count()
0
删除所有符合条件的文档
您可以指定用于标识要删除的文档的条件或过滤器。过滤器使用与读取操作相同的语法。
要指定相等条件，请在查询过滤器文档
{ <field1>: <value1>, ... }
查询过滤文档可以使用查询运算符来指定条件，格式如下：
{ <field1>: { <operator1>: <value1> }, ... }
要删除与删除条件匹配的所有文档，请将筛选器参数传递给该 deleteMany()方法。
该方法返回包含操作状态的文档。
如下示例，删除订单表中 “cust_id” : “A” 的记录，如下：
sit_rs1:PRIMARY> db.orders.find()
{ "_id" : 2, "cust_id" : "A", "ord_date" : ISODate("2023-06-08T00:00:00Z"), "price" : 60, "items" : [ { "sku" : "apple", "qty" : "15", "price" : 2.5 }, { "sku" : "banana", "qty" : 5, "price" : 10 } ], "status" : "0", "lastModified" : ISODate("2023-08-11T09:50:49.782Z") }
{ "_id" : 7, "cust_id" : "C", "ord_date" : ISODate("2023-06-20T00:00:00Z"), "price" : 21, "items" : [ { "sku" : "apple", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 9, "cust_id" : "D", "ord_date" : ISODate("2023-06-20T00:00:00Z"), "price" : 51, "items" : [ { "sku" : "carrots", "qty" : 5, "price" : 1 }, { "sku" : "apples", "qty" : 10, "price" : 2.5 }, { "sku" : "apple", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 1, "cust_id" : "A", "ord_date" : ISODate("2023-06-01T00:00:00Z"), "price" : 15, "items" : [ { "sku" : "apple", "qty" : "15", "price" : 2.5 }, { "sku" : "apples", "qty" : 5, "price" : 2.5 } ], "status" : "0", "lastModified" : ISODate("2023-08-11T09:50:49.781Z") }
{ "_id" : 4, "cust_id" : "B", "ord_date" : ISODate("2023-06-18T00:00:00Z"), "price" : 26, "items" : [ { "sku" : "apple", "qty" : "15", "price" : 2.5 } ], "status" : "0", "lastModified" : ISODate("2023-08-11T09:50:49.782Z") }
{ "_id" : 10, "cust_id" : "D", "ord_date" : ISODate("2023-06-23T00:00:00Z"), "price" : 23, "items" : [ { "sku" : "apple", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 6, "cust_id" : "C", "ord_date" : ISODate("2023-06-19T00:00:00Z"), "price" : 38, "items" : [ { "sku" : "carrots", "qty" : 10, "price" : 1 }, { "sku" : "apples", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 5, "cust_id" : "B", "ord_date" : ISODate("2023-06-19T00:00:00Z"), "price" : 40, "items" : [ { "sku" : "banana", "qty" : 5, "price" : 10 } ], "status" : "1" }
{ "_id" : 8, "cust_id" : "D", "ord_date" : ISODate("2023-06-20T00:00:00Z"), "price" : 76, "items" : [ { "sku" : "banana", "qty" : 5, "price" : 10 }, { "sku" : "apples", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : ObjectId("64dde9e72fabd7cc0b2c6faa"), "cust_id" : "E", "status" : "0", "price" : 1 }
sit_rs1:PRIMARY> db.orders.deleteMany({ "cust_id" : "A" })
{ "acknowledged" : true, "deletedCount" : 2 }
sit_rs1:PRIMARY> db.orders.find()
{ "_id" : 7, "cust_id" : "C", "ord_date" : ISODate("2023-06-20T00:00:00Z"), "price" : 21, "items" : [ { "sku" : "apple", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 9, "cust_id" : "D", "ord_date" : ISODate("2023-06-20T00:00:00Z"), "price" : 51, "items" : [ { "sku" : "carrots", "qty" : 5, "price" : 1 }, { "sku" : "apples", "qty" : 10, "price" : 2.5 }, { "sku" : "apple", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 4, "cust_id" : "B", "ord_date" : ISODate("2023-06-18T00:00:00Z"), "price" : 26, "items" : [ { "sku" : "apple", "qty" : "15", "price" : 2.5 } ], "status" : "0", "lastModified" : ISODate("2023-08-11T09:50:49.782Z") }
{ "_id" : 10, "cust_id" : "D", "ord_date" : ISODate("2023-06-23T00:00:00Z"), "price" : 23, "items" : [ { "sku" : "apple", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 6, "cust_id" : "C", "ord_date" : ISODate("2023-06-19T00:00:00Z"), "price" : 38, "items" : [ { "sku" : "carrots", "qty" : 10, "price" : 1 }, { "sku" : "apples", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 5, "cust_id" : "B", "ord_date" : ISODate("2023-06-19T00:00:00Z"), "price" : 40, "items" : [ { "sku" : "banana", "qty" : 5, "price" : 10 } ], "status" : "1" }
{ "_id" : 8, "cust_id" : "D", "ord_date" : ISODate("2023-06-20T00:00:00Z"), "price" : 76, "items" : [ { "sku" : "banana", "qty" : 5, "price" : 10 }, { "sku" : "apples", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : ObjectId("64dde9e72fabd7cc0b2c6faa"), "cust_id" : "E", "status" : "0", "price" : 1 }
删除单个文档
要最多删除与指定过滤器匹配的单个文档（即使多个文档可能与指定过滤器匹配），请使用该db.collection.deleteOne()方法。
即使从集合中删除所有文档，删除操作也不会删除索引。
db.collection.deleteOne() 具有以下语法：
db.collection.deleteOne(
<filter>,
{
writeConcern: <document>,
collation: <document>,
hint: <document|string> // Available starting in MongoDB 4.4
}
)
以下示例删除 “cust_id” : “B” 的订单，只有 “_id” : 4 的记录会被删除 ！！！！！！！！！
sit_rs1:PRIMARY> db.orders.find().sort({_id:1})
{ "_id" : 4, "cust_id" : "B", "ord_date" : ISODate("2023-06-18T00:00:00Z"), "price" : 26, "items" : [ { "sku" : "apple", "qty" : "15", "price" : 2.5 } ], "status" : "0", "lastModified" : ISODate("2023-08-11T09:50:49.782Z") }
{ "_id" : 5, "cust_id" : "B", "ord_date" : ISODate("2023-06-19T00:00:00Z"), "price" : 40, "items" : [ { "sku" : "banana", "qty" : 5, "price" : 10 } ], "status" : "1" }
{ "_id" : 6, "cust_id" : "C", "ord_date" : ISODate("2023-06-19T00:00:00Z"), "price" : 38, "items" : [ { "sku" : "carrots", "qty" : 10, "price" : 1 }, { "sku" : "apples", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 7, "cust_id" : "C", "ord_date" : ISODate("2023-06-20T00:00:00Z"), "price" : 21, "items" : [ { "sku" : "apple", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 8, "cust_id" : "D", "ord_date" : ISODate("2023-06-20T00:00:00Z"), "price" : 76, "items" : [ { "sku" : "banana", "qty" : 5, "price" : 10 }, { "sku" : "apples", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 9, "cust_id" : "D", "ord_date" : ISODate("2023-06-20T00:00:00Z"), "price" : 51, "items" : [ { "sku" : "carrots", "qty" : 5, "price" : 1 }, { "sku" : "apples", "qty" : 10, "price" : 2.5 }, { "sku" : "apple", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 10, "cust_id" : "D", "ord_date" : ISODate("2023-06-23T00:00:00Z"), "price" : 23, "items" : [ { "sku" : "apple", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : ObjectId("64dde9e72fabd7cc0b2c6faa"), "cust_id" : "E", "status" : "0", "price" : 1 }
sit_rs1:PRIMARY> db.orders.deleteOne({ "cust_id" : "B" })
{ "acknowledged" : true, "deletedCount" : 1 }
sit_rs1:PRIMARY> db.orders.find().sort({_id:1})
{ "_id" : 5, "cust_id" : "B", "ord_date" : ISODate("2023-06-19T00:00:00Z"), "price" : 40, "items" : [ { "sku" : "banana", "qty" : 5, "price" : 10 } ], "status" : "1" }
{ "_id" : 6, "cust_id" : "C", "ord_date" : ISODate("2023-06-19T00:00:00Z"), "price" : 38, "items" : [ { "sku" : "carrots", "qty" : 10, "price" : 1 }, { "sku" : "apples", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 7, "cust_id" : "C", "ord_date" : ISODate("2023-06-20T00:00:00Z"), "price" : 21, "items" : [ { "sku" : "apple", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 8, "cust_id" : "D", "ord_date" : ISODate("2023-06-20T00:00:00Z"), "price" : 76, "items" : [ { "sku" : "banana", "qty" : 5, "price" : 10 }, { "sku" : "apples", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 9, "cust_id" : "D", "ord_date" : ISODate("2023-06-20T00:00:00Z"), "price" : 51, "items" : [ { "sku" : "carrots", "qty" : 5, "price" : 1 }, { "sku" : "apples", "qty" : 10, "price" : 2.5 }, { "sku" : "apple", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : 10, "cust_id" : "D", "ord_date" : ISODate("2023-06-23T00:00:00Z"), "price" : 23, "items" : [ { "sku" : "apple", "qty" : 10, "price" : 2.5 } ], "status" : "1" }
{ "_id" : ObjectId("64dde9e72fabd7cc0b2c6faa"), "cust_id" : "E", "status" : "0", "price" : 1 }
db.collection.remove() 从集合中删除文档。
db.collection.remove()方法可以具有两种语法之一。remove()方法可以采用查询文档和可选的justOne布尔值：
db.collection.remove(
<query>,
<justOne>
)
或者该方法可以采用查询文档和可选的删除选项文档：
5.0版本更改。
db.collection.remove(
<query>,
{
justOne: <boolean>,
writeConcern: <document>,
collation: <document>,
let: <document> // Added in MongoDB 5.0
}
)
从集合中删除所有文档。 要删除集合中的所有文档，请调用 remove 具有空查询文档的方法{}。以下操作将从 集合 myCollection 中删除所有文档：
此操作不等同于该 drop()方法。drop()要从集合中删除所有文档，使用该方法删除整个集合（包括索引）。
sit_rs1:PRIMARY> db.myCollection.insertMany( [ { _id: 0, a: 1, b: 1 }, { _id: 1, a: 1, b: 1 } ] )
{ "acknowledged" : true, "insertedIds" : [ 0, 1 ] }
sit_rs1:PRIMARY> db.myCollection.find()
{ "_id" : 1, "a" : 1, "b" : 1 }
{ "_id" : 0, "a" : 1, "b" : 1 }
sit_rs1:PRIMARY> db.myCollection.remove({})
WriteResult({ "nRemoved" : 2 })
sit_rs1:PRIMARY> db.myCollection.find().count()
0
删除所有符合条件的文档。要删除符合删除条件的文档，请调用 remove() 方法参数
以下操作从 myCollection 集合中删除 a: 1 的所有文档 ：
sit_rs1:PRIMARY> db.myCollection.insertMany( [
... { _id: 0, a: 1, b: 1 },
... { _id: 1, a: 1, b: 2 },
... { _id: 2, a: 2, b: 3 },
... { _id: 3, a: 3, b: 3 },
... { _id: 4, a: 1, b: 4 },
... ] )
{ "acknowledged" : true, "insertedIds" : [ 0, 1, 2, 3, 4 ] }
sit_rs1:PRIMARY> db.myCollection.find()
{ "_id" : 1, "a" : 1, "b" : 2 }
{ "_id" : 0, "a" : 1, "b" : 1 }
{ "_id" : 2, "a" : 2, "b" : 3 }
{ "_id" : 3, "a" : 3, "b" : 3 }
{ "_id" : 4, "a" : 1, "b" : 4 }
sit_rs1:PRIMARY> db.myCollection.remove({ "a" : 1 })
WriteResult({ "nRemoved" : 3 })
sit_rs1:PRIMARY> db.myCollection.find()
{ "_id" : 2, "a" : 2, "b" : 3 }
{ "_id" : 3, "a" : 3, "b" : 3 }
删除与条件匹配的单个文档，要删除第一个符合删除条件的文档，请调用 remove方法，其query 条件和 justOne 参数设置为true或1。
以下操作从集合 myCollection 中删除第一个 a 大于等于2 的文档 ：
sit_rs1:PRIMARY> db.myCollection.insertMany( [
... { _id: 0, a: 1, b: 1 },
... { _id: 1, a: 1, b: 2 },
... { _id: 2, a: 2, b: 3 },
... { _id: 3, a: 3, b: 3 },
... { _id: 4, a: 1, b: 4 },
... ] )
{ "acknowledged" : true, "insertedIds" : [ 0, 1, 2, 3, 4 ] }
sit_rs1:PRIMARY> db.myCollection.find()
{ "_id" : 1, "a" : 1, "b" : 2 }
{ "_id" : 0, "a" : 1, "b" : 1 }
{ "_id" : 2, "a" : 2, "b" : 3 }
{ "_id" : 3, "a" : 3, "b" : 3 }
{ "_id" : 4, "a" : 1, "b" : 4 }
sit_rs1:PRIMARY> db.myCollection.remove({ "a": { $gte: 2 } }, true )
WriteResult({ "nRemoved" : 1 })
sit_rs1:PRIMARY> db.myCollection.find()
{ "_id" : 1, "a" : 1, "b" : 2 }
{ "_id" : 0, "a" : 1, "b" : 1 }
{ "_id" : 3, "a" : 3, "b" : 3 }
{ "_id" : 4, "a" : 1, "b" : 4 }