SingleStore (MemSQL) Basics
1. Introduction
SingleStore, previously known as MemSQL, is a distributed, relational NewSQL database designed for speed and scalability. It supports both transactional and analytical workloads, making it an excellent choice for real-time applications.
2. Key Concepts
- **Distributed Architecture:** Data is stored across multiple nodes for scalability.
- **In-Memory Processing:** Leverages in-memory storage for faster data access.
- **SQL Compatibility:** Supports ANSI SQL, allowing for easy integration with existing SQL tools.
3. Installation
3.1. System Requirements
Ensure your system meets the following requirements:
- 64-bit Linux OS (CentOS, RHEL, Ubuntu)
- At least 8 GB of RAM
- Minimum 4 CPU cores
3.2. Installation Steps
Follow these steps to install SingleStore:
- Download the SingleStore installation package from the official website.
- Run the installation script:
- Start the SingleStore service:
bash
memsql-admin start
4. Data Model
SingleStore supports both row and columnar storage models. This flexibility allows for optimized performance based on the workload.
To create a new table:
CREATE TABLE users (
id INT PRIMARY KEY,
name VARCHAR(255),
email VARCHAR(255)
);
5. Queries
SingleStore allows you to execute standard SQL queries. Here's a basic example:
SELECT * FROM users WHERE email LIKE '%@example.com';
6. Best Practices
Always monitor your queries and optimize them for performance.
- Use indexing to improve query performance.
- Regularly backup your database.
- Scale horizontally by adding more nodes as needed.
7. FAQ
What is SingleStore used for?
SingleStore is used for real-time analytics, transactional processing, and high-speed data ingestion.
Is SingleStore open-source?
No, SingleStore is a commercial database with a community edition available.