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MongoDB ODM with schemas, validation, middleware, and TypeScript support

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api-database-mongoose
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MongoDB ODM with schemas, validation, middleware, and TypeScript support
# Mongoose ODM Patterns > **Quick Guide:** Use Mongoose as the ODM layer for MongoDB. Let TypeScript infer types from schema definitions instead of duplicating interfaces. Register all middleware before calling `model()` -- hooks added after compilation are silently ignored. Use `.lean()` for any read-only query. Pass `{ session }` to every operation inside a transaction or enable `transactionAsyncLocalStorage`. Prefer `session.withTransaction()` over manual commit/abort. Use `127.0.0.1` instead of `localhost` in connection strings (Node.js 18+ IPv6 preference causes timeouts). --- <critical_requirements> ## CRITICAL: Before Using This Skill > **All code must follow project conventions in CLAUDE.md** (kebab-case, named exports, import ordering, `import type`, named constants) **(You MUST define all middleware (pre/post hooks) BEFORE calling `model()` -- hooks registered after model compilation are silently ignored with no error)** **(You MUST pass `{ session }` to EVERY operation inside a transaction -- missing session causes that operation to run outside the transaction silently)** **(You MUST use `.lean()` for read-only queries returning API responses -- skipping lean wastes 3x memory on hydration overhead)** **(You MUST use `127.0.0.1` instead of `localhost` in connection strings -- Node.js 18+ prefers IPv6 and `localhost` causes connection timeouts)** **(You MUST NOT use `findOneAndUpdate`/`updateOne` and expect `pre('save')` to fire -- only `save()` and `create()` trigger document middleware)** **(You MUST NOT use `next()` callbacks in pre hooks on Mongoose 9 -- use async/await instead; `next()` was removed in v9)** </critical_requirements> --- **Auto-detection:** Mongoose, mongoose, mongoose.connect, Schema, model, ObjectId, populate, HydratedDocument, InferSchemaType, InferRawDocType, pre('save'), post('save'), lean, mongoose.startSession, withTransaction, discriminator, virtual, Schema.Types.ObjectId, Types.ObjectId **When to use:** - Defining MongoDB schemas and models with Mongoose - TypeScript integration with schema type inference - Middleware hooks (pre/post save, validate, find, delete) - Population (resolving references between collections) - Transactions with session management - Virtuals and instance/static methods - Discriminators (single collection inheritance) - Connection management (single and multi-database) **Key patterns covered:** - Schema definition with automatic TypeScript inference - TypeScript typing (HydratedDocument, InferSchemaType, methods/statics/virtuals generics) - CRUD operations (create, find, update, delete, lean vs hydrated) - Middleware hooks and their execution rules - Population with field selection and limits - Transactions (withTransaction, transactionAsyncLocalStorage) - Validation (built-in validators, custom validators, error messages) - Virtuals (computed, populate virtuals) - Discriminators (inheritance pattern) - Connection setup and multi-database **When NOT to use:** - Raw MongoDB driver queries without schema enforcement (use the native driver) - Relational data with complex joins and foreign key constraints (use a relational database) - Simple key-value storage (use a dedicated key-value store) **Detailed Resources:** - For decision frameworks, quick reference tables, and migration notes, see [reference.md](reference.md) **Core Patterns:** - [examples/core.md](examples/core.md) -- Connection, schema definition, TypeScript typing, model creation, CRUD, validation **Middleware & Lifecycle:** - [examples/middleware.md](examples/middleware.md) -- Pre/post hooks, error handling middleware, query middleware, soft delete **Relationships & Population:** - [examples/population.md](examples/population.md) -- Populate, virtual populate, discriminators, embedding vs referencing **Transactions & Advanced:** - [examples/transactions.md](examples/transactions.md) -- Sessions, withTransaction, transactionAsyncLocalStorage, connection management --- <philosophy> ## Philosophy Mongoose provides schema-based modeling for MongoDB. Its value is the **application-layer enforcement** of structure, validation, middleware, and type safety on top of MongoDB's flexible document model. **Core principles:** 1. **Schema-first** -- Define schemas before models. Schemas enforce structure, validation, defaults, and middleware at the application layer. 2. **Infer, don't duplicate** -- Let Mongoose infer TypeScript types from schema definitions. Only define explicit interfaces when adding methods, statics, or virtuals. 3. **Middleware before model** -- All pre/post hooks must be registered before `model()`. This is the single most common Mongoose bug -- hooks added after compilation are silently ignored. 4. **Lean for reads** -- `.lean()` returns plain JavaScript objects (3x less memory). Use it for every read-only query. Only skip lean when you need Mongoose document methods. 5. **Session discipline** -- Every operation inside a transaction must receive `{ session }`. One missed session means that operation runs outside the transaction with no error. 6. **Validate at the schema** -- Push validation into schema definitions (required, min, max, enum, custom validators with error messages). Don't validate in application code what the schema can enforce. **When to use Mongoose:** - You want schema enforcement and validation on MongoDB documents - You need middleware hooks (pre/post save, validate, find) - You want automatic TypeScript type inference from schemas - You need population (reference resolution between collections) - You want computed properties (virtuals) and instance methods **When NOT to use Mongoose:** - Performance-critical bulk operations where the ODM overhead matters (use native driver) - You only need raw MongoDB queries without schema enforcement - You're doing heavy aggregation-only workloads (aggregation pipelines bypass most Mongoose features) </philosophy> --- <patterns> ## Core Patterns ### Pattern 1: Connection Setup Establish a single connection at application startup. Use environment variables for credentials. Never hardcode connection strings. ```typescript import mongoose from "mongoose"; const POOL_SIZE_MAX = 10; const POOL_SIZE_MIN = 2; const SERVER_SELECTION_TIMEOUT_MS = 5000; const SOCKET_TIMEOUT_MS = 45000; async function connectDatabase(): Promise<typeof mongoose> { const uri = process.env.MONGODB_URI; if (!uri) { throw new Error("MONGODB_URI environment variable is required"); } return mongoose.connect(uri, { maxPoolSize: POOL_SIZE_MAX, minPoolSize: POOL_SIZE_MIN, serverSelectionTimeoutMS: SERVER_SELECTION_TIMEOUT_MS, socketTimeoutMS: SOCKET_TIMEOUT_MS, retryWrites: true, retryReads: true, }); } export { connectDatabase }; ``` **Why good:** Named constants for all numeric values, environment variable for URI, typed return, error on missing URI ```typescript // BAD: Hardcoded URI, localhost, no options mongoose.connect("mongodb://localhost:27017/mydb"); ``` **Why bad:** Hardcoded connection string leaks credentials, `localhost` fails on Node.js 18+ (IPv6 preference), no pool or timeout configuration --- ### Pattern 2: Schema Definition with TypeScript Inference Let Mongoose infer types from the schema definition. Only use explicit interfaces when adding methods, statics, or virtuals. ```typescript import { Schema, model } from "mongoose"; const userSchema = new Schema( { name: { type: String, required: true, trim: true }, email: { type: String, required: true, unique: true, lowercase: true }, role: { type: String, enum: ["admin", "user", "moderator"] as const, default: "user", }, age: { type: Number, min: 0, max: 150 }, isActive: { type: Boolean, default: true }, tags: [{ type: String }], }, { timestamps: true }, ); // TypeScript automatically infers the document type from schema const User = model("User", userSchema); export { User, userSchema }; ``` **Why good:** TypeScript infers types automatically, `as const` preserves enum literal types, timestamps via schema option, named exports ```typescript // BAD: Duplicating interface and schema definition interface IUser { name: string; email: string; } const userSchema = new Schema({ name: String, email: String }); // Types drift apart -- schema allows undefined, interface says required ``` **Why bad:** Manual interface duplicates schema, they drift out of sync, no validation constraints, no error messages --- ### Pattern 3: Explicit Typing (Methods, Statics, Virtuals) When a model has instance methods, statics, or virtuals, use the full generic parameter set. ```typescript import { Schema, model, type HydratedDocument, type Model, type Types, } from "mongoose"; interface IUser { email: string; passwordHash: string; firstName: string; lastName: string; role: "admin" | "user" | "moderator"; } interface IUserMethods { comparePassword(candidate: string): Promise<boolean>; } interface IUserVirtuals { fullName: string; } type UserModel = Model<IUser, {}, IUserMethods, IUserVirtuals>; type UserDocument = HydratedDocument<IUser, IUserMethods & IUserVirtuals>; const userSchema = new Schema< IUser, UserModel, IUserMethods, {}, IUserVirtuals >( { /* fields */ }, { toJSON: { virtuals: true } }, ); userSchema.methods.comparePassword = async function (candidate: string) { // implementation return false; }; userSchema.virtual("fullName").get(function () { return `${this.firstName} ${this.lastName}`; }); // Middleware BEFORE model() userSchema.pre("save", async function () { if (this.isModified("passwordHash")) { // hash password } }); // model() AFTER all middleware and methods const User = model<IUser, UserModel>("User", userSchema); export { User, userSchema }; export type { IUser, IUserMethods, UserDocument }; ``` **Why good:** Separate interfaces for document, methods, virtuals; correct generic parameter order; `HydratedDocument` exported for consumers; middleware before `model()` See [examples/core.md](examples/core.md) for the complete implementation with all generic parameters. --- ### Pattern 4: CRUD Operations ```typescript // Create -- triggers save middleware const user = await User.create({ name: "Alice", email: "alice@example.com" }); // Read with lean (read-only response) const PAGE_SIZE = 20; const users = await User.find({ isActive: true }) .select("name email role") .sort({ createdAt: -1 }) .limit(PAGE_SIZE) .lean(); // Update with save() -- triggers pre('save') middleware const doc = await User.findById(id); if (!doc) throw new Error(`User not found: ${id}`); doc.name = "Updated"; await doc.save(); // Direct update -- does NOT trigger save middleware await User.findByIdAndUpdate( id, { $set: { name: "Updated" } }, { new: true, // return updated document runValidators: true, // enforce schema validation }, ); ``` **Why good:** `.lean()` for read-only, `save()` when middleware matters, `{ new: true, runValidators: true }` on direct updates ```typescript // BAD: lean() then trying to save const user = await User.findById(id).lean(); user.name = "Updated"; await user.save(); // TypeError: user.save is not a function ``` **Why bad:** `.lean()` returns plain objects without Mongoose methods -- `.save()` does not exist --- ### Pattern 5: Schema Validation ```typescript const MIN_NAME_LENGTH = 2; const MAX_NAME_LENGTH = 100; const SKU_PATTERN = /^[A-Z]{2}-\d{6}$/; const productSchema = new Schema({ name: { type: String, required: [true, "Product name is required"], minlength: [ MIN_NAME_LENGTH, `Name must be at least ${MIN_NAME_LENGTH} characters`, ], maxlength: [ MAX_NAME_LENGTH, `Name must be at most ${MAX_NAME_LENGTH} characters`, ], }, price: { type: Number, required: true, min: [0, "Price cannot be negative"], validate: { validator: (v: number) => Number.isFinite(v), message: "Price must be a finite number", }, }, sku: { type: String, required: true, unique: true, match: [SKU_PATTERN, "SKU must match format XX-000000"], }, status: { type: String, enum: { values: ["draft", "active", "archived"] as const, message: "{VALUE} is not a valid status", }, default: "draft", }, }); export { productSchema }; ``` **Why good:** Named constants for validation limits, custom error messages on every validator, regex validation with descriptive message, enum with `as const` for TypeScript inference See [examples/core.md](examples/core.md) for subdocument schemas and array validation. </patterns> --- <red_flags> ## RED FLAGS **High Priority Issues:** - Registering middleware after `model()` call -- hooks are silently ignored, no error thrown - Running operations in parallel inside a transaction (`Promise.all()`) -- MongoDB does not support parallel operations within a single transaction session - Missing `{ session }` on any operation inside a transaction -- that operation runs outside the transaction silently - Using `localhost` in connection strings on Node.js 18+ -- IPv6 preference causes connection timeouts, use `127.0.0.1` - Mutating a document fetched with `.lean()` and calling `.save()` -- lean returns plain objects without Mongoose methods **Medium Priority Issues:** - Using `findOneAndUpdate`/`updateOne` and expecting `pre('save')` to fire -- only `save()` and `create()` trigger document middleware - Unbounded `.populate()` without `limit` or field selection -- can return thousands of documents per populate call, each is a separate DB round-trip - Not passing `runValidators: true` on `findOneAndUpdate` -- schema validation is skipped by default on direct updates - Using `Schema.Types.ObjectId` in TypeScript interfaces -- use `Types.ObjectId` for interfaces, `Schema.Types.ObjectId` for schema definitions only - Creating indexes in production application code instead of migration scripts -- index builds can lock the collection **Common Mistakes:**
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