目录
要通过命令行操作MongoDB,你可以使用mongo命令与MongoDB实例进行交互。以下是一些常用的命令行操作:
- 连接到MongoDB实例:在终端中输入以下命令连接到MongoDB实例(默认连接本地)。
mongo
mongo
如果MongoDB实例不在本地,可以指定带有主机和端口号的连接字符串。
mongo mongodb://hostname:port
(env) [root@VM-16-17-opencloudos mongo_test]# mongo
MongoDB shell version v4.4.22
connecting to: mongodb://127.0.0.1:27017/?compressors=disabled&gssapiServiceName=mongodb
Implicit session: session { "id" : UUID("ec38a30e-b967-4ebb-8f85-adb430dd677f") }
MongoDB server version: 4.4.22
Welcome to the MongoDB shell.
For interactive help, type "help".
For more comprehensive documentation, see
https://docs.mongodb.com/
Questions? Try the MongoDB Developer Community Forums
https://community.mongodb.com
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The server generated these startup warnings when booting:
2023-07-06T10:20:25.916+08:00: Using the XFS filesystem is strongly recommended with the WiredTiger storage engine. See http://dochub.mongodb.org/core/prodnotes-filesystem
2023-07-06T10:20:26.632+08:00: Access control is not enabled for the database. Read and write access to data and configuration is unrestricted
2023-07-06T10:20:26.633+08:00: /sys/kernel/mm/transparent_hugepage/enabled is 'always'. We suggest setting it to 'never'
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show
- 切换到特定数据库:使用以下命令切换到一个特定的数据库。
- 列出当前数据库的所有集合:在数据库中,可以使用以下命令列出所有集合。
show databases
show collections> show databases; admin 0.000GB config 0.000GB local 0.000GB mydatabase 0.000GB > use mydatabase switched to db mydatabase > show collections mycollectionCRUD
插入文档到集合:使用以下语法将文档插入到指定集合中。
db.collection_name.insertOne({"key": "value"})> db.mycollection.insertOne({"key": "value"}) { "acknowledged" : true, "insertedId" : ObjectId("64a62a162b45c0f74eddc97e") }查询集合中的文档:使用以下语法查询集合中的文档。
db.collection_name.find()> db.mycollection.find() { "_id" : ObjectId("64a628ea3e7b15e12ea38f7d"), "name" : "Emma", "age" : 28, "city" : "London" } { "_id" : ObjectId("64a628ea3e7b15e12ea38f7e"), "name" : "Michael", "age" : 35, "city" : "Tokyo" } { "_id" : ObjectId("64a62906f1b8c3e7534a4d48"), "name" : "John", "age" : 30, "city" : "New York" } { "_id" : ObjectId("64a62906f1b8c3e7534a4d49"), "name" : "Emma", "age" : 28, "city" : "London" } { "_id" : ObjectId("64a62906f1b8c3e7534a4d4a"), "name" : "Michael", "age" : 35, "city" : "Tokyo" } { "_id" : ObjectId("64a62a162b45c0f74eddc97e"), "key" : "value" } >更新集合中的文档:使用以下语法更新集合中的文档。
db.collection_name.updateOne({"key": "value"}, {"$set": {"new_key": "new_value"}})> db.mycollection.updateOne({"key": "value"}, {"$set": {"new_key": "new_value"}}) { "acknowledged" : true, "matchedCount" : 1, "modifiedCount" : 1 } > db.mycollection.find() { "_id" : ObjectId("64a628ea3e7b15e12ea38f7d"), "name" : "Emma", "age" : 28, "city" : "London" } { "_id" : ObjectId("64a628ea3e7b15e12ea38f7e"), "name" : "Michael", "age" : 35, "city" : "Tokyo" } { "_id" : ObjectId("64a62906f1b8c3e7534a4d48"), "name" : "John", "age" : 30, "city" : "New York" } { "_id" : ObjectId("64a62906f1b8c3e7534a4d49"), "name" : "Emma", "age" : 28, "city" : "London" } { "_id" : ObjectId("64a62906f1b8c3e7534a4d4a"), "name" : "Michael", "age" : 35, "city" : "Tokyo" } { "_id" : ObjectId("64a62a162b45c0f74eddc97e"), "key" : "value", "new_key" : "new_value" }删除集合中的文档:使用以下语法删除集合中的文档。
db.collection_name.deleteOne({"key": "value"})> db.mycollection.find() { "_id" : ObjectId("64a628ea3e7b15e12ea38f7d"), "name" : "Emma", "age" : 28, "city" : "London" } { "_id" : ObjectId("64a628ea3e7b15e12ea38f7e"), "name" : "Michael", "age" : 35, "city" : "Tokyo" } { "_id" : ObjectId("64a62906f1b8c3e7534a4d48"), "name" : "John", "age" : 30, "city" : "New York" } { "_id" : ObjectId("64a62906f1b8c3e7534a4d49"), "name" : "Emma", "age" : 28, "city" : "London" } { "_id" : ObjectId("64a62906f1b8c3e7534a4d4a"), "name" : "Michael", "age" : 35, "city" : "Tokyo" } >
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