Couchbase Introduction

Couchbase is a distributed multi-model NoSQL database that supports document, key-value, and graph data models. It is designed for high performance, scalability, and flexibility, making it suitable for applications that require real-time data processing.

Key Features:

• Multi-Model Support
• High Availability and Scalability
• Built-in Caching
• Full-Text Search
• Eventing and Analytics

Couchbase architecture consists of several components, including:

• Data Service: Manages data storage and retrieval.
• Index Service: Provides indexing capabilities for fast querying.
• Query Service: Handles query execution and processing.
• Search Service: Supports full-text search capabilities.
• Analytics Service: Performs analytical queries on large datasets.
• Eventing Service: Triggers functions in response to data changes.

To install Couchbase, follow these steps:

1. Download the Couchbase Server from the official website.
2. Run the installer and follow the on-screen instructions.
3. After installation, access the Couchbase Web Console at http://localhost:8091.
4. Create an admin account and configure your cluster settings.

Couchbase uses a document-oriented data model where data is stored in JSON format. Each document is uniquely identified with a key, allowing for efficient retrieval.

                {
                    "type": "user",
                    "id": "123",
                    "name": "John Doe",
                    "email": "john.doe@example.com"
                }
                

Documents can be nested, allowing for complex data structures.

Couchbase supports querying through N1QL, a SQL-like query language for JSON. Here is an example of a simple N1QL query:

                SELECT name, email
                FROM `bucket_name`
                WHERE type = "user" AND id = "123";
                

Follow these best practices for optimal Couchbase performance:

• Use appropriate data modeling techniques.
• Choose the right indexing strategy based on query patterns.
• Monitor cluster performance regularly.
• Implement data expiration for temporary data.
• Use Couchbase SDKs for efficient data access.