更新方法
Mongodb 使用以下几种方法来更新文档 , Mongodb V5.0+ 使用 mongosh 客户端:
-
db.collection.updateOne(<filter>, <update>, <options>)
-
db.collection.updateMany(<filter>, <update>, <options>)
-
db.collection.replaceOne(<filter>, <update>, <options>)
-
db.collection.findOneAndReplace(<filter>, <replacement>, <options>)
-
db.collection.findOneAndUpdate( <filter>, <update>, <options>)
-
db.collection.findAndModify(<document>)
-
db.collection.bulkWrite()
-
Bulk.find.replaceOne(<document>)
-
Bulk.find.update(<update>)
-
Bulk.find.updateOne(<update>)
-
Bulk.find.upsert()
查找并替换
根据指定过滤器替换单个文档, findOneAndReplace() 方法具有以下形式:
对于嵌入文档中的字段,您可以使用以下任一方式指定字段:
-
点符号,例如 “field.nestedfield”: <value>
-
嵌套形式,例如 { field: { nestedfield: <value> } }(从 MongoDB 4.4 开始)
db.collection.findOneAndReplace() 功能要比 db.collection.replaceOne() 强,比如可以排序替换文档、 操作设置特定的完成时间限制等。
db.collection.findOneAndReplace(
<filter>,
<replacement>,
{
writeConcern: <document>,
projection: <document>,
sort: <document>,
maxTimeMS: <number>,
upsert: <boolean>,
returnDocument: <string>,
returnNewDocument: <boolean>,
collation: <document>
}
)
以下示例 把年龄超过 45岁(含),找到匹配的一行,替换为新的字段。如下,
- 这里的 replace 也是按行替换的。
- 尽管有多个文档符合过滤条件, db.collection.findOneAndReplace() 仅替换一份文档。
sit_rs1:PRIMARY> db.user.find().sort({age:1})
{ "_id" : ObjectId("64b8d2404b442dde59447cf2"), "name" : "user3", "age" : 30, "item" : { "A" : 113, "B" : 213 }, "number" : [ { "n1" : 1, "n2" : 8 }, { "n1" : 2, "n2" : 6 }, { "n1" : 2, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf6"), "name" : "user7", "age" : 45, "item" : { "A" : 116, "B" : 216 }, "number" : [ { "n1" : 6, "n2" : 6 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf3"), "name" : "user4", "age" : 45, "item" : { "A" : 111, "B" : 211 }, "number" : [ { "n1" : 99, "n2" : 6 }, { "n1" : 2, "n2" : 4 }, { "n1" : 3, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf4"), "name" : "user5", "age" : 55, "item" : { "A" : 112, "B" : 215 }, "number" : [ { "n1" : 7, "n2" : 8 }, { "n1" : 99, "n2" : 4 }, { "n1" : 4, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf5"), "name" : "user22", "age" : 55, "item" : { "A" : 115, "B" : 212 }, "number" : [ { "n1" : 5, "n2" : 5 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf7"), "name" : "user8", "age" : 60, "item" : { "A" : 113, "B" : 211 }, "number" : [ { "n1" : 5, "n2" : 4 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf8"), "name" : "user9", "age" : 75, "item" : { "A" : 118, "B" : 218 }, "number" : [ { "n1" : 1, "n2" : 3 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
sit_rs1:PRIMARY> db.user.findOneAndReplace(
... { "age" : { $gte : 45 } },
... { "name" : "chen", "status" : "Modified" }
... )
{
"_id" : ObjectId("64b8d2404b442dde59447cf5"),
"name" : "user22",
"age" : 55,
"item" : {
"A" : 115,
"B" : 212
},
"number" : [
{
"n1" : 5,
"n2" : 5
},
{
"n1" : 99,
"n2" : 5
},
{
"n1" : 7,
"n2" : 6
}
]
}
sit_rs1:PRIMARY> db.user.find().sort({age:1})
{ "_id" : ObjectId("64b8d2404b442dde59447cf5"), "name" : "chen", "status" : "Modified" }
{ "_id" : ObjectId("64b8d2404b442dde59447cf2"), "name" : "user3", "age" : 30, "item" : { "A" : 113, "B" : 213 }, "number" : [ { "n1" : 1, "n2" : 8 }, { "n1" : 2, "n2" : 6 }, { "n1" : 2, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf6"), "name" : "user7", "age" : 45, "item" : { "A" : 116, "B" : 216 }, "number" : [ { "n1" : 6, "n2" : 6 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf3"), "name" : "user4", "age" : 45, "item" : { "A" : 111, "B" : 211 }, "number" : [ { "n1" : 99, "n2" : 6 }, { "n1" : 2, "n2" : 4 }, { "n1" : 3, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf4"), "name" : "user5", "age" : 55, "item" : { "A" : 112, "B" : 215 }, "number" : [ { "n1" : 7, "n2" : 8 }, { "n1" : 99, "n2" : 4 }, { "n1" : 4, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf7"), "name" : "user8", "age" : 60, "item" : { "A" : 113, "B" : 211 }, "number" : [ { "n1" : 5, "n2" : 4 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf8"), "name" : "user9", "age" : 75, "item" : { "A" : 118, "B" : 218 }, "number" : [ { "n1" : 1, "n2" : 3 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
以下操作使用 sort 排序替换, 对 age 字段降序排序,然后找到匹配的单个文档,执行更新,如下:
sit_rs1:PRIMARY> db.user.find().sort({age:-1})
{ "_id" : ObjectId("64b8d2404b442dde59447cf8"), "name" : "user9", "age" : 75, "item" : { "A" : 118, "B" : 218 }, "number" : [ { "n1" : 1, "n2" : 3 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf7"), "name" : "user8", "age" : 60, "item" : { "A" : 113, "B" : 211 }, "number" : [ { "n1" : 5, "n2" : 4 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf4"), "name" : "user5", "age" : 55, "item" : { "A" : 112, "B" : 215 }, "number" : [ { "n1" : 7, "n2" : 8 }, { "n1" : 99, "n2" : 4 }, { "n1" : 4, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf6"), "name" : "user7", "age" : 45, "item" : { "A" : 116, "B" : 216 }, "number" : [ { "n1" : 6, "n2" : 6 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf3"), "name" : "user4", "age" : 45, "item" : { "A" : 111, "B" : 211 }, "number" : [ { "n1" : 99, "n2" : 6 }, { "n1" : 2, "n2" : 4 }, { "n1" : 3, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf2"), "name" : "user3", "age" : 30, "item" : { "A" : 113, "B" : 213 }, "number" : [ { "n1" : 1, "n2" : 8 }, { "n1" : 2, "n2" : 6 }, { "n1" : 2, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf5"), "name" : "chen", "status" : "Modified" }
sit_rs1:PRIMARY> db.user.findOneAndReplace(
... { "age" : { $gte : 45 } },
... { "name" : "user10", "status" : "Modified" },
... { sort: { "age" : -1 } }
... )
{
"_id" : ObjectId("64b8d2404b442dde59447cf8"),
"name" : "user9",
"age" : 75,
"item" : {
"A" : 118,
"B" : 218
},
"number" : [
{
"n1" : 1,
"n2" : 3
},
{
"n1" : 99,
"n2" : 5
},
{
"n1" : 7,
"n2" : 6
}
]
}
sit_rs1:PRIMARY> db.user.find().sort({age:-1})
{ "_id" : ObjectId("64b8d2404b442dde59447cf7"), "name" : "user8", "age" : 60, "item" : { "A" : 113, "B" : 211 }, "number" : [ { "n1" : 5, "n2" : 4 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf4"), "name" : "user5", "age" : 55, "item" : { "A" : 112, "B" : 215 }, "number" : [ { "n1" : 7, "n2" : 8 }, { "n1" : 99, "n2" : 4 }, { "n1" : 4, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf6"), "name" : "user7", "age" : 45, "item" : { "A" : 116, "B" : 216 }, "number" : [ { "n1" : 6, "n2" : 6 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf3"), "name" : "user4", "age" : 45, "item" : { "A" : 111, "B" : 211 }, "number" : [ { "n1" : 99, "n2" : 6 }, { "n1" : 2, "n2" : 4 }, { "n1" : 3, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf2"), "name" : "user3", "age" : 30, "item" : { "A" : 113, "B" : 213 }, "number" : [ { "n1" : 1, "n2" : 8 }, { "n1" : 2, "n2" : 6 }, { "n1" : 2, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf8"), "name" : "user10", "status" : "Modified" }
{ "_id" : ObjectId("64b8d2404b442dde59447cf5"), "name" : "chen", "status" : "Modified" }
查找并更新
根据 filter 和 sort 标准更新单个文档。findOneAndUpdate() 方法具有以下形式:
db.collection.findOneAndUpdate() 更新集合中与filter匹配, 如果没有文档与 filter 匹配,则不会更新任何文档。
该sort参数可用于影响更新哪个文档。
注意 db.collection.findOneAndUpdate() 方法比 db.collection.findOneAndReplace() 多了 arrayFilters: [ , … ] 功能 !!!
- 过滤器文档的数组,用于确定要针对数组字段的更新操作修改哪些数组元素。
对于嵌入文档中的字段,您可以使用以下任一方式指定字段:
-
点符号,例如 “field.nestedfield”: <value>
-
嵌套形式,例如 { field: { nestedfield: <value> } }(从 MongoDB 4.4 开始)
db.collection.findOneAndUpdate(
<filter>,
<update document or aggregation pipeline>, // Changed in MongoDB 4.2
{
writeConcern: <document>,
projection: <document>,
sort: <document>,
maxTimeMS: <number>,
upsert: <boolean>,
returnDocument: <string>,
returnNewDocument: <boolean>,
collation: <document>,
arrayFilters: [ <filterdocument1>, ... ]
}
)
以下示例,查找 name 为 user8 的, 并 对 age 字段 自增1操作, 如下:
sit_rs1:PRIMARY> db.user.find().sort({age:-1})
{ "_id" : ObjectId("64b8d2404b442dde59447cf7"), "name" : "user8", "age" : 60, "item" : { "A" : 113, "B" : 211 }, "number" : [ { "n1" : 5, "n2" : 4 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf4"), "name" : "user5", "age" : 55, "item" : { "A" : 112, "B" : 215 }, "number" : [ { "n1" : 7, "n2" : 8 }, { "n1" : 99, "n2" : 4 }, { "n1" : 4, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf6"), "name" : "user7", "age" : 45, "item" : { "A" : 116, "B" : 216 }, "number" : [ { "n1" : 6, "n2" : 6 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf3"), "name" : "user4", "age" : 45, "item" : { "A" : 111, "B" : 211 }, "number" : [ { "n1" : 99, "n2" : 6 }, { "n1" : 2, "n2" : 4 }, { "n1" : 3, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf2"), "name" : "user3", "age" : 30, "item" : { "A" : 113, "B" : 213 }, "number" : [ { "n1" : 1, "n2" : 8 }, { "n1" : 2, "n2" : 6 }, { "n1" : 2, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf8"), "name" : "user10", "status" : "Modified" }
{ "_id" : ObjectId("64b8d2404b442dde59447cf5"), "name" : "chen", "status" : "Modified" }
sit_rs1:PRIMARY> db.user.findOneAndUpdate(
... { "name" : "user8" },
... { $inc: { "age" : 1 } }
... )
{
"_id" : ObjectId("64b8d2404b442dde59447cf7"),
"name" : "user8",
"age" : 60,
"item" : {
"A" : 113,
"B" : 211
},
"number" : [
{
"n1" : 5,
"n2" : 4
},
{
"n1" : 99,
"n2" : 5
},
{
"n1" : 7,
"n2" : 6
}
]
}
sit_rs1:PRIMARY> db.user.find().sort({age:-1})
{ "_id" : ObjectId("64b8d2404b442dde59447cf7"), "name" : "user8", "age" : 61, "item" : { "A" : 113, "B" : 211 }, "number" : [ { "n1" : 5, "n2" : 4 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf4"), "name" : "user5", "age" : 55, "item" : { "A" : 112, "B" : 215 }, "number" : [ { "n1" : 7, "n2" : 8 }, { "n1" : 99, "n2" : 4 }, { "n1" : 4, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf6"), "name" : "user7", "age" : 45, "item" : { "A" : 116, "B" : 216 }, "number" : [ { "n1" : 6, "n2" : 6 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf3"), "name" : "user4", "age" : 45, "item" : { "A" : 111, "B" : 211 }, "number" : [ { "n1" : 99, "n2" : 6 }, { "n1" : 2, "n2" : 4 }, { "n1" : 3, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf2"), "name" : "user3", "age" : 30, "item" : { "A" : 113, "B" : 213 }, "number" : [ { "n1" : 1, "n2" : 8 }, { "n1" : 2, "n2" : 6 }, { "n1" : 2, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf8"), "name" : "user10", "status" : "Modified" }
{ "_id" : ObjectId("64b8d2404b442dde59447cf5"), "name" : "chen", "status" : "Modified" }
使用 Upsert 更新文档
- 如果没有任何内容匹配,以下upsert操作使用更新字段插入文档:
sit_rs1:PRIMARY> try {
... db.user.findOneAndUpdate(
... { "name" : "user11" },
... { $set: { "name" : "user11", "age" : 50}, $inc : { "number" : 1 } },
... { sort: { "age" : 1 }, upsert:true, returnNewDocument : true }
... );
... }catch (e){
... print(e);
... }
{
"_id" : ObjectId("64db6285f386d37d5de1b830"),
"name" : "user11",
"age" : 50,
"number" : 1
}
sit_rs1:PRIMARY> db.user.find().sort({age:-1})
{ "_id" : ObjectId("64b8d2404b442dde59447cf7"), "name" : "user8", "age" : 61, "item" : { "A" : 113, "B" : 211 }, "number" : [ { "n1" : 5, "n2" : 4 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf4"), "name" : "user5", "age" : 55, "item" : { "A" : 112, "B" : 215 }, "number" : [ { "n1" : 7, "n2" : 8 }, { "n1" : 99, "n2" : 4 }, { "n1" : 4, "n2" : 6 } ] }
{ "_id" : ObjectId("64db6285f386d37d5de1b830"), "name" : "user11", "age" : 50, "number" : 1 }
{ "_id" : ObjectId("64b8d2404b442dde59447cf6"), "name" : "user7", "age" : 45, "item" : { "A" : 116, "B" : 216 }, "number" : [ { "n1" : 6, "n2" : 6 }, { "n1" : 99, "n2" : 5 }, { "n1" : 7, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf3"), "name" : "user4", "age" : 45, "item" : { "A" : 111, "B" : 211 }, "number" : [ { "n1" : 99, "n2" : 6 }, { "n1" : 2, "n2" : 4 }, { "n1" : 3, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf2"), "name" : "user3", "age" : 30, "item" : { "A" : 113, "B" : 213 }, "number" : [ { "n1" : 1, "n2" : 8 }, { "n1" : 2, "n2" : 6 }, { "n1" : 2, "n2" : 6 } ] }
{ "_id" : ObjectId("64b8d2404b442dde59447cf8"), "name" : "user10", "status" : "Modified" }
{ "_id" : ObjectId("64b8d2404b442dde59447cf5"), "name" : "chen", "status" : "Modified" }
查找并修改
db.collection.findAndModify(document) 修改并返回单个文档。
注意是 单个文档!!!! , 单个文档!!!! 单个文档!!!!
默认情况下,返回的文档不包含更新时所做的修改。要返回包含更新后所做修改的文档,请使用该new选项。
db.collection.findAndModify() 不仅可以做更新操作,还可以执行删除操作 !!!
对于删除操作:
- 如果查询与文档匹配, findAndModify() 返回已删除的文档。
- 如果查询与要删除的文档不匹配, findAndModify() 返回null。
对于更新操作:
-
如果该new参数未设置或为false:
- 如果查询与文档匹配,则为修改前的文档;
- 否则,null。
-
如果new是true:
- 如果查询返回匹配项,则修改文档;
- upsert: true如果没有文档与查询匹配,则插入文档;
- 否则,null。
findAndModify() 方法具有以下形式:
db.collection.findAndModify({
query: <document>,
sort: <document>,
remove: <boolean>,
update: <document or aggregation pipeline>, // Changed in MongoDB 4.2
new: <boolean>,
fields: <document>,
upsert: <boolean>,
bypassDocumentValidation: <boolean>,
writeConcern: <document>,
maxTimeMS: <integer>,
collation: <document>,
arrayFilters: [ <filterdocument1>, ... ],
let: <document> // Added in MongoDB 5.0
});
更新与返回,以下示例更新并返回 orders 集合中与查询条件匹配的现有文档:
查找 “cust_id” : “B”, “status” : “0” 的订单, 并且 price 大于 30 的记录,将其价格调整自增1,如下:
这里查找了两个记录, 按 sort 排序后,更新第一条记录, 注意是修改 单个文档 !!!!!
- 返回的文档不包含更新时所做的修改。
- 要返回更新后的文档,请使用 new:true 选项。
sit_rs1:PRIMARY> db.orders.find()
{ "_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" : 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" : 3, "cust_id" : "B", "ord_date" : ISODate("2023-06-08T00:00:00Z"), "price" : 55, "items" : [ { "sku" : "apple", "qty" : "15", "price" : 2.5 }, { "sku" : "pears", "qty" : 10, "price" : 2.5 } ], "status" : "0", "lastModified" : ISODate("2023-08-11T09:50:49.782Z") }
{ "_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" : 3 的记录被修改,只修改单个文档 !!!!!!!!!
sit_rs1:PRIMARY> db.orders.findAndModify({
... query: { "cust_id" : "B", "status" : "0", "price": { $gt: 20 } },
... sort: { "_id": 1 },
... update: { $inc: { price: 1 } }
... })
{
"_id" : 3,
"cust_id" : "B",
"ord_date" : ISODate("2023-06-08T00:00:00Z"),
"price" : 55,
"items" : [
{
"sku" : "apple",
"qty" : "15",
"price" : 2.5
},
{
"sku" : "pears",
"qty" : 10,
"price" : 2.5
}
],
"status" : "0",
"lastModified" : ISODate("2023-08-11T09:50:49.782Z")
}
sit_rs1:PRIMARY> db.orders.find()
{ "_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" : 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" : 3, "cust_id" : "B", "ord_date" : ISODate("2023-06-08T00:00:00Z"), "price" : 56, "items" : [ { "sku" : "apple", "qty" : "15", "price" : 2.5 }, { "sku" : "pears", "qty" : 10, "price" : 2.5 } ], "status" : "0", "lastModified" : ISODate("2023-08-11T09:50:49.782Z") }
{ "_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" }
更新插入, 以下示例包括更新匹配文档或创建新文档(如果不存在匹配文档)的操作 upsert: true 选项,如下:文章来源:https://www.toymoban.com/news/detail-655338.html
sit_rs1:PRIMARY> db.orders.find()
{ "_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" : 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" : 3, "cust_id" : "B", "ord_date" : ISODate("2023-06-08T00:00:00Z"), "price" : 56, "items" : [ { "sku" : "apple", "qty" : "15", "price" : 2.5 }, { "sku" : "pears", "qty" : 10, "price" : 2.5 } ], "status" : "0", "lastModified" : ISODate("2023-08-11T09:50:49.782Z") }
{ "_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" }
# 不存在匹配文档, 返回 null
sit_rs1:PRIMARY> db.orders.findAndModify({
... query: { "cust_id" : "E", "status" : "0", "price": { $gt: 10 } },
... sort: { "_id": 1 },
... update: { $inc: { price: 1 } },
... upsert: true
... })
null
# 插入记录: "_id" : 10
sit_rs1:PRIMARY> db.orders.find()
{ "_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" : 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" : 3, "cust_id" : "B", "ord_date" : ISODate("2023-06-08T00:00:00Z"), "price" : 56, "items" : [ { "sku" : "apple", "qty" : "15", "price" : 2.5 }, { "sku" : "pears", "qty" : 10, "price" : 2.5 } ], "status" : "0", "lastModified" : ISODate("2023-08-11T09:50:49.782Z") }
{ "_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 }
排序并删除, 通过在字段_id 上排序 sort ,以下示例从集合中删除匹配文档中_id 最小的单个文档,如下:文章来源地址https://www.toymoban.com/news/detail-655338.html
sit_rs1:PRIMARY> db.orders.find()
{ "_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" : 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" : 3, "cust_id" : "B", "ord_date" : ISODate("2023-06-08T00:00:00Z"), "price" : 56, "items" : [ { "sku" : "apple", "qty" : "15", "price" : 2.5 }, { "sku" : "pears", "qty" : 10, "price" : 2.5 } ], "status" : "0", "lastModified" : ISODate("2023-08-11T09:50:49.782Z") }
{ "_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 }
# "_id" : 3 排在第一,将被删除 !
sit_rs1:PRIMARY> db.orders.findAndModify(
... {
... query: { "cust_id" : "B"},
... sort: { "_id": 1 },
... remove: true
... }
... )
{
"_id" : 3,
"cust_id" : "B",
"ord_date" : ISODate("2023-06-08T00:00:00Z"),
"price" : 56,
"items" : [
{
"sku" : "apple",
"qty" : "15",
"price" : 2.5
},
{
"sku" : "pears",
"qty" : 10,
"price" : 2.5
}
],
"status" : "0",
"lastModified" : ISODate("2023-08-11T09:50:49.782Z")
}
sit_rs1:PRIMARY> db.orders.find()
{ "_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" : 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" : 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 }
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