Bulk Generate Valid JSONB Objects for Postgres

Why JSONB Generation Is Difficult

PostgreSQL's JSONB columns are powerful but challenging to populate with realistic test data:

❌

Invalid JSON Syntax:

Random JSON generators often create invalid syntax that PostgreSQL rejects (missing quotes, trailing commas, etc.).

❌

Escaping Nightmares:

Properly escaping JSON strings within SQL INSERT statements is error-prone and breaks easily.

❌

Unrealistic Structures:

Most tools generate simple JSON that doesn't match real-world schemas with nested objects, arrays, and mixed types.

How MockBlast Generates Perfect JSONB

MockBlast was built to handle PostgreSQL JSONB natively:

✅ Always Valid JSON

Every generated JSONB value is guaranteed to be valid JSON that PostgreSQL accepts. No syntax errors, no import failures.

🔤 Automatic Escaping

MockBlast handles all SQL and JSON escaping automatically. Strings with quotes, newlines, and special characters are properly escaped.

🎯 Realistic Structures

Generate nested objects, arrays of objects, mixed types, and realistic JSON patterns that match real-world applications.

📋 Customizable Templates

Define your own JSONB structures and MockBlast will generate consistent data that matches your schema requirements.

Example: JSONB Columns in PostgreSQL

Import This Schema:

CREATE TABLE users (
  id SERIAL PRIMARY KEY,
  name VARCHAR(100),
  email VARCHAR(100),
  preferences JSONB,
  metadata JSONB
);

CREATE TABLE products (
  id SERIAL PRIMARY KEY,
  name VARCHAR(200),
  specifications JSONB,
  variants JSONB
);

MockBlast Generates:

INSERT INTO users (id, name, email, preferences, metadata) VALUES
  (1, 'John Doe', 'john@example.com', 
   '{"theme": "dark", "notifications": {"email": true, "push": false}, "language": "en"}',
   '{"lastLogin": "2024-01-15T10:30:00Z", "accountType": "premium", "loginCount": 42}'),
  (2, 'Jane Smith', 'jane@example.com',
   '{"theme": "light", "notifications": {"email": false, "push": true}, "language": "es"}',
   '{"lastLogin": "2024-01-16T14:20:00Z", "accountType": "free", "loginCount": 15}');

INSERT INTO products (id, name, specifications, variants) VALUES
  (1, 'Laptop Pro', 
   '{"cpu": "Intel i7", "ram": "16GB", "storage": "512GB SSD", "display": "15.6\""}',
   '[{"color": "Silver", "sku": "LP-SLV", "price": 1299.99}, {"color": "Space Gray", "sku": "LP-GRY", "price": 1299.99}]');

Common JSONB Use Cases

⚙️ User Preferences

Store user settings, theme preferences, and configurations:

{
  "theme": "dark",
  "notifications": {
    "email": true,
    "push": false
  },
  "language": "en"
}

📦 Product Metadata

Store flexible product specifications:

{
  "dimensions": {
    "width": 30,
    "height": 45,
    "depth": 15
  },
  "materials": ["cotton", "polyester"]
}

📊 Analytics Data

Store event data and tracking information:

{
  "source": "google",
  "campaign": "summer2024",
  "clicks": 152,
  "conversions": 8
}

🔧 API Responses

Cache API responses and external data:

{
  "status": 200,
  "data": {
    "results": [...],
    "pagination": {
      "page": 1,
      "total": 100
    }
  }
}

Testing JSONB Features

MockBlast's JSONB generation is perfect for testing PostgreSQL JSON operations:

•JSONB Indexing: Test GIN indexes and JSONB path queries with realistic nested data.
•Containment Queries: Test @>, <@, and ? operators with varied JSONB structures.
•Path Extraction: Test ->, ->>, and #> operators to extract nested values from generated JSONB.
•JSONB Functions: Test jsonb_array_elements, jsonb_each, and other JSONB functions with realistic data.
•Performance Testing: Generate thousands of JSONB rows to test query performance and indexing strategies.

How to Generate JSONB Mock Data

1.
Import Your Schema: Paste your CREATE TABLE statement with JSONB columns into MockBlast.
2.
Define JSONB Structure: Specify which fields to include in your JSON objects. MockBlast will generate consistent structures.
3.
Configure Nesting: Choose how deeply nested your JSON should be and whether to include arrays.
4.
Download SQL: Get PostgreSQL INSERT statements with properly formatted and escaped JSONB data ready to import.