Databases 6 min read

Comprehensive MongoDB Command Reference (2026 Edition)

This article provides a complete, step‑by‑step guide to MongoDB shell commands—including show dbs, use, db, collection operations, indexing, aggregation and statistics—complete with syntax, example outputs and practical usage notes for developers and administrators.

Architect Chen
Architect Chen
Architect Chen
Comprehensive MongoDB Command Reference (2026 Edition)

show dbs

Lists all databases in the current MongoDB instance. show dbs Example output:

admin   40.00 KiB
config 108.00 KiB
local   72.00 KiB
order   2.3 GiB
user    1.1 GiB
Useful for quickly viewing the database list.

use

Switches to a specified database; if the database does not exist, it is created on the first write. use order Output: switched to db order Creating a database occurs only after inserting data.

db

Displays the name of the current database. db Output:

order
Commonly used during development and debugging.

show collections

Lists all collections in the current database. show collections Output example:

user
order
product
log

Similar to MySQL's

SHOW TABLES;

db.createCollection

Creates a new collection. db.createCollection("user") Output: { ok : 1 } With options (e.g., capped collection):

db.createCollection("log", { capped: true, size: 104857600 })

Creates a fixed‑size log collection.

db.collection.insertOne

Inserts a single document into a collection.

db.user.insertOne({ name: "Tom", age: 25, city: "Beijing" })

Output:

{ acknowledged: true }
Suitable for adding a single record.

db.collection.insertMany

Inserts multiple documents into a collection.

db.user.insertMany([
  { name: "Tom", age: 20 },
  { name: "Lucy", age: 22 }
])

Output:

{ acknowledged: true }
Useful for initializing data.

db.collection.find

Retrieves documents; without parameters returns all. db.user.find() Formatted output: db.user.find().pretty() Query specific fields: db.user.find({}, { name: 1, age: 1 }) Conditional query example:

db.user.find({ age: 20 })

db.collection.findOne

Returns one matching document. db.user.findOne({ name: "Tom" }) Output example:

{ "_id": "...", "name": "Tom", "age": 20 }

db.collection.updateOne

Modifies a single matching document.

db.user.updateOne({ name: "Tom" }, { $set: { age: 30 } })

Update multiple documents:

db.user.updateMany({}, { $set: { status: 1 } })

db.collection.deleteOne

Removes a single matching document. db.user.deleteOne({ name: "Tom" }) Delete multiple documents with a condition: db.user.deleteMany({ age: { $lt: 18 } }) Delete all documents:

db.user.deleteMany({})

db.collection.countDocuments

Returns the number of documents in a collection. db.user.countDocuments() Conditional count example:

db.user.countDocuments({ age: { $gte: 18 } })
Useful for pagination statistics.

db.collection.createIndex

Creates a standard index. db.user.createIndex({ name: 1 }) Compound index example:

db.order.createIndex({ userId: 1, createTime: -1 })

Unique index example:

db.user.createIndex({ email: 1 }, { unique: true })

View indexes:

db.user.getIndexes()

db.collection.aggregate

Performs advanced data aggregation.

Example – count orders by status:

db.order.aggregate([
  { $group: { _id: "$status", total: { $sum: 1 } } }
])

Example – count documents per age:

db.user.aggregate([
  { $group: { _id: "$age", count: { $sum: 1 } } }
])

db.stats

Shows storage statistics for the current database. db.stats() Typical fields returned: collections, objects, storageSize, indexSize, dataSize.

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IndexingMongoDBDatabase AdministrationAggregationShell CommandsData InsertionQuerying
Architect Chen
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Architect Chen

Sharing over a decade of architecture experience from Baidu, Alibaba, and Tencent.

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