Mongodb?刪除文檔Delete與Remove的區(qū)別解析
更新時間：2023年08月23日 10:12:06 作者：Ethanchen's?notes
這篇文章主要介紹了Mongodb?刪除文檔Delete與Remove的區(qū)別,要從集合中刪除所有文檔,請將空過濾器文檔傳遞{}給該?db.collection.deleteMany()方法,本文通過示例代碼介紹的非常詳細,需要的朋友可以參考下
db.collection.remove() 此方法已被 mongosh 棄用
| 已棄用的方法 | 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() 方法可以具有兩種語法之一。
remove()方法可以采用查詢文檔和可選的 justOne 布爾值參數(shù)及操作方法區(qū)分
詳細參數(shù)區(qū)別請參考下面文檔：
刪除所有文檔
要從集合中刪除所有文檔，請將空過濾器文檔傳遞 {} 給該 db.collection.deleteMany()方法。
db.collection.deleteMany() 具有以下語法：
db.collection.deleteMany(
<filter>,
{
writeConcern: <document>,
collation: <document>
}
)以下示例從集合中刪除所有文檔 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刪除所有符合條件的文檔
您可以指定用于標識要刪除的文檔的條件或過濾器。過濾器使用與讀取操作相同的語法。
要指定相等條件，請在查詢過濾器文檔<field>:<value> 中使用表達式 ：
{ <field1>: <value1>, ... }查詢過濾文檔可以使用查詢運算符來指定條件，格式如下：
{ <field1>: { <operator1>: <value1> }, ... }要刪除與刪除條件匹配的所有文檔，請將篩選器參數(shù)傳遞給該 deleteMany()方法。
該方法返回包含操作狀態(tài)的文檔。
如下示例，刪除訂單表中 “cust_id” : “A” 的記錄，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 }刪除單個文檔
要最多刪除與指定過濾器匹配的單個文檔（即使多個文檔可能與指定過濾器匹配），請使用該db.collection.deleteOne()方法。
即使從集合中刪除所有文檔，刪除操作也不會刪除索引。
db.collection.deleteOne() 具有以下語法：
db.collection.deleteOne(
<filter>,
{
writeConcern: <document>,
collation: <document>,
hint: <document|string> // Available starting in MongoDB 4.4
}
)以下示例刪除 “cust_id” : “B” 的訂單，只有 “_id” : 4 的記錄會被刪除 ?。。。。。。。?！
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() 從集合中刪除文檔。
db.collection.remove()方法可以具有兩種語法之一。remove()方法可以采用查詢文檔和可選的justOne布爾值：
db.collection.remove( <query>, <justOne> )
或者該方法可以采用查詢文檔和可選的刪除選項文檔：
5.0版本更改。
db.collection.remove(
<query>,
{
justOne: <boolean>,
writeConcern: <document>,
collation: <document>,
let: <document> // Added in MongoDB 5.0
}
)從集合中刪除所有文檔。 要刪除集合中的所有文檔，請調(diào)用 remove 具有空查詢文檔的方法{}。以下操作將從 集合 myCollection 中刪除所有文檔：
此操作不等同于該 drop()方法。drop()要從集合中刪除所有文檔，使用該方法刪除整個集合（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刪除所有符合條件的文檔。要刪除符合刪除條件的文檔，請調(diào)用 remove() 方法參數(shù) <query>
以下操作從 myCollection 集合中刪除 a: 1 的所有文檔 ：
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 }刪除與條件匹配的單個文檔，要刪除第一個符合刪除條件的文檔，請調(diào)用 remove方法，其query 條件和 justOne 參數(shù)設(shè)置為true或1。
以下操作從集合 myCollection 中刪除第一個 a 大于等于2 的文檔 ：
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 }到此這篇關(guān)于Mongodb 刪除文檔Delete與Remove的區(qū)別的文章就介紹到這了,更多相關(guān)Mongodb Delete與Remove區(qū)別內(nèi)容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家！
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