04. Schema Validation with JSON Schema ($jsonSchema) • MongoDB & NoSQL Architecture: CRUD to Sharding & WiredTiger • Rishabh Ki Kaksha

MongoDB & NoSQL Architecture: CRUD to Sharding & WiredTiger › 04. Schema Validation with JSON Schema ($jsonSchema)

35 mins

Course Syllabus

Module 1: MongoDB Foundations, BSON & CRUD Mechanics

01. NoSQL vs SQL: CAP Theorem & Document-Oriented Architecture 02. BSON Data Types & Document Schema Design (Embedding vs Referencing) 03. High-Performance CRUD Operations, BulkWrite & Write Concerns 04. Schema Validation with JSON Schema ($jsonSchema)

Module 2: Advanced Aggregation Framework & Data Pipelines

05. Aggregation Pipeline Core: $match, $project, $group, $sort & $limit 06. Complex Transformations: $unwind, $lookup (Joins) & $facet (Multi-Facet Analytics) 07. Window Operators ($setWindowFields) & Accumulator Functions

Module 3: Indexing Strategies & Query Optimization

08. B-Tree Indexes in MongoDB: Single Field, Compound & Partial Indexes 09. Special Indexes: TTL (Time-To-Live), Geospatial (2dsphere) & Text Indexes 10. Query Profiling, explain("executionStats") & Index Covering Analysis

Module 4: Storage Engine Internals (WiredTiger) & ACID Transactions

11. WiredTiger Storage Engine Architecture: Cache, Compression & Checkpoints 12. Read Concerns (local, majority, linearizable) & Write Concerns (w:majority, j:true) 13. Multi-Document Distributed ACID Transactions with Sessions

Module 5: High Availability, Replica Sets, Sharding & Backups

14. Replica Sets Architecture: Primary Election, Oplog & Automatic Failover 15. Sharding Architecture: mongos Router, Config Servers & Shard Key Selection 16. Range vs Hash Sharding, Chunk Balancing & Jumbo Chunks Mitigation 17. Change Streams: Building Real-Time Event-Driven Pipelines with MongoDB 18. Production Backup Strategies: mongodump/mongorestore, Point-in-Time & Atlas CLI

Interactive Lesson Studio

# 04. Schema Validation with JSON Schema ($jsonSchema)

> MongoDB Notes by Rishabh - Topic 04

---

### 1. Database-Level Schema Enforcement 🛡️

MongoDB schema-less hai, lekin production enterprise me galat data types (`age: "twenty"`) ko rokne ke liye hum **Database-Level JSON Schema Validation** lagate hain:

```javascript
db.createCollection("users", {
    validator: {
        $jsonSchema: {
            bsonType: "object",
            required: ["name", "email", "role", "age"],
            properties: {
                name: {
                    bsonType: "string",
                    description: "Must be a string and is required"
                },
                email: {
                    bsonType: "string",
                    pattern: "^.+@.+$",
                    description: "Must be a valid email regex"
                },
                role: {
                    enum: ["ADMIN", "USER", "MODERATOR"],
                    description: "Can only be one of the enum values"
                },
                age: {
                    bsonType: "int",
                    minimum: 18,
                    description: "Must be an integer >= 18"
                }
            }
        }
    },
    validationAction: "error" // 'error' rejects write; 'warn' writes to log
});
```

---

### 2. Validation Actions: `error` vs `warn`

*   **`validationAction: "error"`:** Invalid document insert hone par write reject karke error throw karta hai.
*   **`validationAction: "warn"`:** Invalid document ko insert hone deta hai lekin warning log me record kar leta hai (Legacy data migrations ke liye best).

---

### 3. Master Comparison Matrix

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### 4. Interview Ke 3 Sawal Is Topic Se

1. **Mongoose validation aur MongoDB `$jsonSchema` me kya difference hai?** -> Mongoose application layer par validate karta hai (Node.js bypass karne par raw Python script galat data daal sakti hai); `$jsonSchema` database engine level par 100% strict enforcement karta hai.
2. **Existing collection par validation schema kaise add karte hain?** -> `db.runCommand({ collMod: "collectionName", validator: { ... } })` command chala kar.
3. **`bsonType` me `number` aur `double` me kya difference hai?** -> `double` standard 64-bit IEEE floating point hai; `int` 32-bit integer hai; `long` 64-bit integer hai.

---
**Next Topic:** 05. Aggregation Pipeline Core: $match, $project, $group, $sort & $limit

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Rishabh Gehlot

PHP 8+ & Laravel 11 Master Track