Mongodb 删除文档Delete与Remove的区别解析_Nosql

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<field>:<value> 中使用表达式：

{ <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 <query>

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 }

到此这篇关于mongodb 删除文档delete与remove的区别的文章就介绍到这了,更多相关mongodb delete与remove区别内容请搜索代码网以前的文章或继续浏览下面的相关文章希望大家以后多多支持代码网！

Mongodb 删除文档Delete与Remove的区别解析

2024年05月15日 • Nosql •我要评论

删除所有文档

删除所有符合条件的文档

删除单个文档

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