mongodb
MongoDB document database with flexible schema and horizontal scaling
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- 28 février 2026 à 22:52
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SKILL.md
Instructions source · Aperçu en lecture seule- name
- mongodb
- description
- MongoDB document database with flexible schema and horizontal scaling
- license
- MIT
- compatibility
- opencode
- metadata
- {"audience":"developers","category":"databases"}
## What I do
- Design document schemas
- Write aggregation pipelines
- Use indexes for performance
- Implement data modeling patterns
- Work with change streams
- Use transactions across collections
- Optimize queries
## When to use me
When building applications with flexible schemas or high write throughput.
## CRUD Operations
```javascript
// Insert
db.users.insertOne({
name: "John",
email: "john@example.com",
tags: ["developer", "admin"],
profile: { age: 30, city: "NYC" }
});
db.users.insertMany([
{ name: "Alice" },
{ name: "Bob" }
]);
// Query
db.users.find({ name: "John" });
db.users.findOne({ _id: ObjectId("...") });
// Update
db.users.updateOne(
{ _id: ObjectId("...") },
{ $set: { name: "Jane" } }
);
db.users.updateMany(
{ status: "active" },
{ $set: { verified: true } }
);
// Delete
db.users.deleteOne({ _id: ObjectId("...") });
db.users.deleteMany({ status: "inactive" });
```
## Query Operators
```javascript
// Comparison
db.products.find({ price: { $gt: 100, $lt: 500 } });
db.users.find({ age: { $gte: 18, $lte: 30 } });
// Logical
db.users.find({
$or: [{ status: "active" }, { role: "admin" }]
});
db.users.find({
$and: [
{ status: "active" },
{ role: { $ne: "guest" } }
]
});
// Element
db.users.find({ email: { $exists: true, $type: "string" } });
// Array
db.users.find({ tags: "developer" });
db.users.find({ tags: { $all: ["admin", "developer"] } });
db.users.find({ "profile.city": "NYC" });
// Regex
db.users.find({ name: { $regex: "^J", $options: "i" } });
```
## Aggregation Pipeline
```javascript
db.orders.aggregate([
// Match
{ $match: { status: "completed" } },
// Unwind array
{ $unwind: "$items" },
// Group
{ $group: {
_id: "$customer_id",
total: { $sum: "$items.price" },
count: { $sum: 1 }
}},
// Sort
{ $sort: { total: -1 } },
// Limit
{ $limit: 10 },
// Project (select fields)
{ $project: {
_id: 0,
customer: "$_id",
total: 1,
count: 1
}}
]);
```
## More Aggregation
```javascript
// Lookup (join)
db.orders.aggregate([
{
$lookup: {
from: "users",
localField: "user_id",
foreignField: "_id",
as: "user"
}
},
{ $unwind: "$user" }
]);
// Add computed fields
{
$addFields: {
total: { $sum: "$items.price" },
discount: {
$cond: { if: { $gte: ["$total", 100] }, then: 0.1, else: 0 }
}
}
}
// Facet (multiple aggregations)
{
$facet: {
byStatus: [{ $group: { _id: "$status", count: { $sum: 1 } } }],
totalValue: [{ $group: { _id: null, total: { $sum: "$total" } } }]
}
}
```
## Indexes
```javascript
// Single field
db.users.createIndex({ email: 1 });
// Compound
db.orders.createIndex({ user_id: 1, created_at: -1 });
// Unique
db.users.createIndex({ email: 1 }, { unique: true });
// Text
db.articles.createIndex({ title: "text", content: "text" });
db.articles.find({ $text: { $search: "mongodb" } });
// Partial
db.users.createIndex(
{ email: 1 },
{ partialFilterExpression: { verified: true } }
);
// Explain
db.users.find({ name: "John" }).explain("executionStats");
```
## Data Modeling
```javascript
// Embedded (one-to-one)
{
_id: ObjectId("..."),
name: "John",
address: {
street: "123 Main St",
city: "NYC"
}
}
// Embedded (one-to-many)
{
_id: ObjectId("..."),
name: "John",
orders: [
{ id: 1, total: 100 },
{ id: 2, total: 200 }
]
}
// Reference (many-to-many)
{
_id: ObjectId("..."),
name: "Math 101",
student_ids: [ObjectId("..."), ObjectId("...")]
}
```
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