Pandatech.DistributedCache 1.0.0

Pandatech.DistributedCache

Pandatech.DistributedCache is a .NET library providing an efficient and performant abstraction layer over StackExchange.Redis, specifically designed for .NET applications. This library builds on top of StackExchange.Redis.Extensions.AspNetCore and StackExchange.Redis.Extensions.MsgPack to offer a robust, easy-to-use caching solution with advanced features such as typed cache services, distributed locking, and health checks.

Features

• Typed Cache Service: Supports strongly-typed caching with MessagePack serialization.
• Distributed Locking: Ensures data consistency with distributed locks.
• Key Isolation: Modular monolith support by prefixing keys with assembly names.
• Stampede Protection: Protects against cache stampede in the GetOrCreateAsync method.
• No Serializer Override: Enforces MessagePack serialization for performance and readability.

Installation

Add Pandatech.DistributedCache to your project using NuGet:

dotnet add package Pandatech.DistributedCache

Usage

1. Configuration

In your Program.cs, configure the cache service:

var builder = WebApplication.CreateBuilder(args);

builder.AddDistributedCache(options =>
{
    options.RedisConnectionString = "your_redis_connection_string"; //No default value and required
    options.ConnectRetry = 15; //Default is 10
    options.ConnectTimeout = TimeSpan.FromSeconds(10); //Default is 10 seconds
    options.SyncTimeout = TimeSpan.FromSeconds(5); //Default is 5 seconds
    options.DistributedLockDuration = TimeSpan.FromSeconds(5); //Default is 5 seconds
    options.DefaultExpiration = TimeSpan.FromMinutes(5); //Default is 15 minutes
});

var app = builder.Build();

Advanced Configuration

Key Prefix for Isolation To ensure module-level isolation in modular monoliths, use the KeyPrefixForIsolation setting. This will not allow cross ClassLibrary cache access.

options.KeyPrefixForIsolation = KeyPrefix.AssemblyNamePrefix;

2. Cached Entity Preparation

Create your cache entity/model in order to inject it in the actual service:

[MessagePackObject]
public class TestCacheEntity : ICacheEntity
{
    [Key(0)] public string Name { get; set; } = "Bob";
    [Key(1)] public int Age { get; set; } = 15;
    [Key(2)] public DateTime CreatedAt { get; set; } = DateTime.Now;
}

3. Injecting ICacheService

Use ICacheService<PreparedCacheEntity> in your services to interact with the cache:

public class CacheTestsService(ICacheService<TestCacheEntity> cacheService)
{
    public async Task GetFromCache(CancellationToken token = default)
    {
        await cacheService.GetOrCreateAsync("test",
            async _ => await GetFromPostgres(token),
            TimeSpan.FromMinutes(1),
            ["test"],
            token);

        await cacheService.GetOrCreateAsync("test2",
           async _ => await GetFromPostgres(token),
           TimeSpan.FromMinutes(1),
           ["vazgen"],
           token);
        
        await cacheService.GetOrCreateAsync("test3",
           async _ => await GetFromPostgres(token),
           TimeSpan.FromMinutes(1),
           ["test", "vazgen"],
           token);
    }

    public async Task DeleteCache(CancellationToken token = default)
    {
        await cacheService.RemoveByTagAsync("test", token);
    }

    public async Task<TestCacheEntity> GetFromPostgres(CancellationToken token)
    {
        Console.WriteLine("Fetching from PostgreSQL");
        await Task.Delay(500, token);
        return new TestCacheEntity();
    }
}

4. Interface Methods

namespace DistributedCache.Services.Interfaces;

/// <summary>
/// Interface for cache service operations.
/// </summary>
/// <typeparam name="T">The type of the cache entity.</typeparam>
public interface ICacheService<T> where T : class
{
   /// <summary>
   /// Gets or creates a cache entry asynchronously.
   /// </summary>
   /// <param name="key">The key of the cache entry.</param>
   /// <param name="factory">A factory function to create the cache entry if it does not exist.</param>
   /// <param name="expiration">Optional expiration time for the cache entry.</param>
   /// <param name="tags">Optional tags associated with the cache entry.</param>
   /// <param name="token">Cancellation token.</param>
   /// <returns>A task representing the asynchronous operation, with the cache entry as the result.</returns>
   ValueTask<T> GetOrCreateAsync(string key, Func<CancellationToken, ValueTask<T>> factory,
      TimeSpan? expiration = null, IReadOnlyCollection<string>? tags = null, CancellationToken token = default);

   /// <summary>
   /// Gets a cache entry asynchronously.
   /// </summary>
   /// <param name="key">The key of the cache entry.</param>
   /// <param name="token">Cancellation token.</param>
   /// <returns>A task representing the asynchronous operation, with the cache entry as the result if found; otherwise, null.</returns>
   ValueTask<T?> GetAsync(string key, CancellationToken token = default);

   /// <summary>
   /// Sets a cache entry asynchronously.
   /// </summary>
   /// <param name="key">The key of the cache entry.</param>
   /// <param name="value">The value of the cache entry.</param>
   /// <param name="expiration">Optional expiration time for the cache entry.</param>
   /// <param name="tags">Optional tags associated with the cache entry.</param>
   /// <param name="token">Cancellation token.</param>
   /// <returns>A task representing the asynchronous operation.</returns>
   ValueTask SetAsync(string key, T value, TimeSpan? expiration = null, IReadOnlyCollection<string>? tags = null,
      CancellationToken token = default);

   /// <summary>
   /// Removes a cache entry by key asynchronously.
   /// </summary>
   /// <param name="key">The key of the cache entry to remove.</param>
   /// <param name="token">Cancellation token.</param>
   /// <returns>A task representing the asynchronous operation.</returns>
   ValueTask RemoveByKeyAsync(string key, CancellationToken token = default);

   /// <summary>
   /// Removes multiple cache entries by their keys asynchronously.
   /// </summary>
   /// <param name="keys">The keys of the cache entries to remove.</param>
   /// <param name="token">Cancellation token.</param>
   /// <returns>A task representing the asynchronous operation.</returns>
   ValueTask RemoveByKeysAsync(IEnumerable<string> keys, CancellationToken token = default);

   /// <summary>
   /// Removes cache entries associated with a tag asynchronously.
   /// </summary>
   /// <param name="tag">The tag associated with the cache entries to remove.</param>
   /// <param name="token">Cancellation token.</param>
   /// <returns>A task representing the asynchronous operation.</returns>
   /// <remarks>
   /// If multiple tags are specified, any entry matching any one of the tags will be removed. This means tags are treated as an "OR" condition.
   /// </remarks>
   ValueTask RemoveByTagAsync(string tag, CancellationToken token = default);

   /// <summary>
   /// Removes cache entries associated with multiple tags asynchronously.
   /// </summary>
   /// <param name="tags">The tags associated with the cache entries to remove.</param>
   /// <param name="token">Cancellation token.</param>
   /// <returns>A task representing the asynchronous operation.</returns>
   /// <remarks>
   /// If multiple tags are specified, any entry matching any one of the tags will be removed. This means tags are treated as an "OR" condition.
   /// </remarks>
   ValueTask RemoveByTagsAsync(IEnumerable<string> tags, CancellationToken token = default);
}

Enforced MessagePack Serialization

Pandatech.DistributedCache enforces the use of MessagePack serialization for several compelling reasons:

1. Performance: MessagePack is significantly faster compared to other serialization formats. For example, benchmarks show that MessagePack can be up to 4 times faster than JSON and 1.5 times faster than Protobuf in terms of serialization and deserialization speed.
2. Compact Size: MessagePack produces smaller payloads, which results in lower memory usage and faster data transfer over the network. On average, MessagePack serialized data is about 50% smaller than JSON and 20-30% smaller than Protobuf.
3. Human Readability in Tools: Many Redis clients, such as Another Redis Desktop Manager, can display MessagePack serialized data as JSON, making it easier for developers to inspect and debug the cache content.
4. Simplicity: By enforcing a single serialization format, we avoid the complexity and potential issues that can arise from supporting multiple serializers. This decision simplifies the implementation and ensures consistent behavior across different parts of the application.

Given these benefits, overriding the serializer is not provided as MessagePack meets the performance and usability needs effectively.

Benchmark Comparison

Acknowledgements

Inspired by Microsoft's .NET 9 HybridCache and leveraging the power of StackExchange.Redis. HybridCache is in a preview state and is not recommended for production use. The main difference is that HybridCache is too general and also uses L1 + L2 caching instead of only L2 caching.

When the time comes and HybridCache will become stable, mature and feature rich, we will consider migrating to it with backward compatability.

License

Pandatech.DistributedCache is licensed under the MIT License.