How to install redis3m on Ubuntu?

Follow the README's apt-get commands for dependencies, then use CMake to build and install. Ensure Boost and hiredis are correctly linked.

redis3m vs hiredis: which is better for C++?

redis3m simplifies memory management and adds patterns, while hiredis offers raw control; choose based on need for convenience vs. minimal overhead.

Does redis3m support Redis Cluster?

The README doesn't mention Cluster support, focusing on Sentinel. Check the documentation for updates, but it may not handle Cluster natively.

How to use connection pooling in redis3m?

Utilize the connection pool class provided, which manages connections automatically. Refer to examples for configuration with Sentinel.

Is redis3m thread-safe for multi-threaded apps?

With connection pooling, it supports concurrent access, but you must manage connections per thread or use synchronization to avoid issues.

What are common patterns implemented in redis3m?

Includes schedulers, ORM-like structures, counters, and message queues, as noted in the README and examples directory.

redis3m

Apache-2.0C++

A C++ Redis client library providing a simple wrapper over hiredis with connection pooling and ready-to-use patterns.

GitHub

187 stars79 forks0 contributors

What is redis3m?

redis3m is a C++ client library for Redis that provides a simple and efficient wrapper over the hiredis C library. It solves the problem of integrating Redis with C++ applications by offering modern C++ memory management, connection pooling, and ready-to-use patterns for common tasks like scheduling and message queuing.

Target Audience

C++ developers building applications that require Redis integration, especially those needing connection management, high availability, or pre-built patterns for data handling.

Value Proposition

Developers choose redis3m for its clean C++ API that simplifies hiredis usage, built-in connection pooling with Sentinel support, and practical patterns that reduce boilerplate code compared to raw hiredis implementations.

Overview

A C++ Redis client

Use Cases

Best For

Building C++ applications that require efficient Redis connection management
Implementing high-availability Redis setups using Sentinel in C++

Related Projects

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Adding message queuing or task scheduling with Redis in C++

Using Redis as an ORM or counter storage in C++ projects

Wrapping hiredis with modern C++ memory management and APIs

Developing Redis-backed services that need connection pooling

Not Ideal For

Projects in languages other than C++ where native Redis clients are more integrated
Embedded or resource-constrained environments due to heavy Boost dependencies
Applications demanding absolute minimal latency where wrapper overhead is unacceptable
Teams requiring immediate support for new Redis features, as wrappers may lag behind

Pros & Cons

Pros

Automatic Memory Management

Wraps hiredis with C++ RAII principles, eliminating manual freeing of Redis responses and reducing memory leaks.

Connection Pooling with Sentinel

Manages multiple Redis connections efficiently and includes built-in support for Redis Sentinel, enabling high availability setups.

Ready-to-Use Patterns

Provides implementations for common patterns like schedulers and message queues, saving development time compared to building from scratch.

Simple C++ API

Offers a clean interface for executing Redis commands, abstracting the complexity of raw hiredis calls.

Cons

Boost Dependency Burden

Requires multiple Boost libraries (e.g., thread, date-time), which can complicate builds and increase project footprint.

Limited Documentation Depth

Relies on examples and an external docs site, lacking in-depth tutorials or comprehensive error handling guides.

Potential Performance Overhead

As a wrapper over hiredis, it may introduce slight latency compared to direct C API usage, though often negligible.

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