HybridRedisCache

HybridRedisCache is a simple in-memory and Redis hybrid caching solution for .NET applications. It provides a way to cache frequently accessed data in memory for fast access and automatically falls back to using Redis as a persistent cache when memory cache capacity is exceeded.

Types of Cache

Basically, there are two types of caching .NET Core supports

1. In-Memory Caching
2. Distributed Caching

When we use In-Memory Cache then in that case data is stored in the application server memory and whenever we need then we fetch data from that and use it wherever we need it. And in Distributed Caching there are many third-party mechanisms like Redis and many others. But in this section, we work with the Redis Cache in the .NET Core.

Distributed Caching

Basically, in distributed caching data are stored and shared between multiple servers Also, it’s easy to improve the scalability and performance of the application after managing the load between multiple servers when we use a multi-tenant application Suppose, In the future, if one server crashes and restarts then the application does not have any impact because multiple servers are as per our need if we want Redis is the most popular cache which is used by many companies nowadays to improve the performance and scalability of the application. So, we are going to discuss Redis and its usage one by one.

Redis Cache

Redis is an Open Source (BSD Licensed) in-memory Data Structure store used as a database. Basically, it is used to store the frequently used and some static data inside the cache and use and reserve that as per user requirement. There are many data structures present in the Redis that we are able to use like List, Set, Hashing, Stream, and many more to store the data.

Redis vs. In-Memory caching in single instance benchmark

Installation

You can install the HybridRedisCache package using NuGet:

PM> Install-Package HybridRedisCache

Installing via the .NET Core command line interface:

dotnet add package HybridRedisCache

Usage

Simple usage in console applications

To use HybridCache, you can create an instance of the HybridCache class and then call its Set and Get methods to cache and retrieve data, respectively. Here's an example:

using HybridRedisCache;

...

// Create a new instance of HybridCache with cache options
var options = new HybridCachingOptions()
{
    DefaultLocalExpirationTime = TimeSpan.FromMinutes(1),
    DefaultDistributedExpirationTime = TimeSpan.FromDays(1),
    InstancesSharedName = "SampleApp",
    ThrowIfDistributedCacheError = true,
    RedisConnectString = "localhost",
    BusRetryCount = 10,
    AbortOnConnectFail = true,
    ReconfigureOnConnectFail = true,
    MaxReconfigureAttempts = 10,
    EnableLogging = true,
    EnableTracing = true,
    FlushLocalCacheOnBusReconnection = true,
    TracingActivitySourceName = nameof(HybridRedisCache),
    EnableRedisClientTracking = true,
    EnableMeterData = true,
    WarningHeavyDataThresholdBytes = 20 * 1024, // 20KB
    DataSizeHistogramMetricName = "my_app_keys_data_size_histogram_metric",
    SerializerType = SerializerType.Bason, // Bson, MessagePack, MemoryPack, Or Custom
    // Serializer = new CustomBinarySerializer(),
};
var cache = new HybridCache(options);

// Cache a string value with the key "mykey" for 1 minute
cache.Set("mykey", "myvalue", TimeSpan.FromMinutes(1));

// Retrieve the cached value with the key "mykey"
var value = cache.Get<string>("mykey");

// Retrieve the cached value with the key "mykey" 
// If not exist create one by dataRetriever method
var value = await cache.GetAsync("mykey", 
        dataRetriever: async key => await CreateValueTaskAsync(key, ...), 
        localExpiry: TimeSpan.FromMinutes(1), 
        redisExpiry: TimeSpan.FromHours(6), 
        fireAndForget: true);

Configure Startup class for Web APIs

var builder = WebApplication.CreateBuilder(args);

builder.Services.AddHybridRedisCaching(options =>
{
    options.AbortOnConnectFail = false;
    options.InstancesSharedName = "RedisCacheSystem.Demo";
    options.DefaultLocalExpirationTime = TimeSpan.FromMinutes(1);
    options.DefaultDistributedExpirationTime = TimeSpan.FromDays(10);
    options.ThrowIfDistributedCacheError = true;
    options.RedisConnectionString = "localhost:6379,redis0:6380,redis1:6380,allowAdmin=true,keepAlive=180";
    options.ConnectRetry = 10;
    options.EnableLogging = true;
    options.EnableTracing = true;
    options.TracingActivitySourceName = nameof(HybridRedisCache);
    options.FlushLocalCacheOnBusReconnection = true;
});

Write code in your controller

[Route("api/[controller]")]
public class WeatherForecastController : Controller
{
    private readonly IHybridCache _cacheService;

    public VWeatherForecastController(IHybridCache cacheService)
    {
        this._cacheService = cacheService;
    }

    [HttpGet]
    public string Handle()
    {
        //Set
        _cacheService.Set("demo", "123", TimeSpan.FromMinutes(1));
            
        //Set Async
        await _cacheService.SetAsync("demo", "123", TimeSpan.FromMinutes(1));                  
    }

    [HttpGet)]
    public async Task<WeatherForecast> Get(int id)
    {
        var data = await _cacheService.GetAsync<WeatherForecast>(id);
        return data;
    }

    [HttpGet)]
    public IEnumerable<WeatherForecast> Get()
    {
        var data = _cacheService.Get<IEnumerable<WeatherForecast>>("demo");
        return data;
    }
}

Features

HybridCache is a caching library that provides a number of advantages over traditional in-memory caching solutions. One of its key features is the ability to persist caches between instances and sync data for all instances.

With HybridCache, you can create multiple instances of the cache that share the same Redis cache, allowing you to scale out your application and distribute caching across multiple instances. This ensures that all instances of your application have access to the same cached data, regardless of which instance originally created the cache.

When a value is set in the cache using one instance, the cache invalidation message is sent to all other instances, ensuring that the cached data is synchronized across all instances. This allows you to take advantage of the benefits of caching, such as reduced latency and improved performance, while ensuring that the cached data is consistent across all instances.

Other features of HybridCache include:

• Multiple cache layers: Supports both in-memory and Redis caching layers, allowing for flexible caching strategies.
• Automatic expiration: Cached data can automatically expire based on time-to-live (TTL) or sliding expiration policies.
• Fire-and-forget caching: Enables quickly setting a value in the cache without waiting for a response, improving performance for non-critical cache operations.
• Asynchronous caching operations: Provides asynchronous cache operations to enhance application responsiveness and scalability.
• Distributed key locking: Ensures control over race conditions across multiple services, preventing conflicts with shared resources.
• Client synchronization with Redis messages: Keeps all clients in sync through Redis bus messages. For example, if a key is updated or removed by one client, other clients will automatically clear the key from their local cache, ensuring consistency across instances.

Overall, HybridCache provides a powerful and flexible caching solution that helps enhance the performance and scalability of your applications while ensuring that cached data remains consistent across all instances.

Cancellation tokens

Every asynchronous API accepts an optional trailing CancellationToken:

using var cts = new CancellationTokenSource(TimeSpan.FromSeconds(2));

await cache.SetAsync("mykey", "myvalue", token: cts.Token);
var value = await cache.GetAsync<string>("mykey", token: cts.Token);

What cancelling actually does. StackExchange.Redis does not accept a CancellationToken on its command APIs. Cancelling therefore stops your call from waiting and throws OperationCanceledException; the command has already been handed to the multiplexer and the server may still apply it. Use the token to bound how long a caller waits, not to guarantee a write never lands.

Server requirements

• Redis 6.0+ for general use.
• Redis 8.0+ for HashSetAsync(key, IDictionary<string, string>, ...) (issues HSETEX) and HashFieldGetAndDeleteAsync (issues HGETDEL).
• notify-keyspace-events must be enabled for cross-instance local cache invalidation. HybridCache tries to enable it at startup with CONFIG SET notify-keyspace-events KA. Managed services such as Azure Cache for Redis and AWS ElastiCache block CONFIG SET; there the call is logged as an error and startup continues. Enable notify-keyspace-events through the provider's own configuration, otherwise local cache entries only expire via their own TTL and may serve stale data until then.

When should I enable caching?

Each time the value of a cached key is modified in the database, Redis pushes an invalidation message to all the clients that are caching the key. This tells the clients to flush the key’s locally cached value, which is invalid. This behavior implies a trade-off between local cache hits and invalidation messages: keys that show a local cache hit rate greater than the invalidation message rate are the best candidates for local tracking and caching.

Installation of Redis Cache with docker

Step 1

Install docker on your OS.

Step 2

Open bash and type below commands:

$ docker pull redis:8.2
$ docker run --name redis -p 6379:6379 -d redis:8.2

Use a Redis 8.x tag. HashSetAsync(key, IDictionary<string, string>, ...) issues HSETEX and HashFieldGetAndDeleteAsync issues HGETDEL; both are Redis 8.0+. See Server requirements. Avoid redis:latest — it silently moves between major versions.

Test is redis running:

$ docker exec -it redis redis-cli
$ ping

Building and testing

Prerequisites

• .NET 10 SDK — the library multi-targets net8.0, net9.0 and net10.0, so building the solution needs the newest of those installed.
• Docker — required only for the container-backed test suite, described below.

The two test suites

The tests are split by what they need to run:

Suite	Base class	Needs Docker?
In-process	InProcessCacheTest	No
Container-backed	BaseCacheTest	Yes

The in-process suite runs Microsoft Garnet, a Redis-compatible server, inside the test process. No daemon, no image pull. Run it anywhere with:

dotnet test src/HybridRedisCache.Test --filter "FullyQualifiedName~InProcess|FullyQualifiedName~SerializerTests|FullyQualifiedName~ArgumentCheckTest|FullyQualifiedName~ObjectHelperTest|FullyQualifiedName~SetAllBehaviorTests|FullyQualifiedName~CancellationTokenTests"

The container-backed suite uses Testcontainers to start a real Redis. It exists because Garnet does not implement everything this library uses — key-space notifications (CONFIG SET notify-keyspace-events), pub/sub, and the Redis 8 HSETEX / HGETDEL hash commands. Anything covering those behaviours must live here.

Docker prerequisites for the container-backed suite

1. A running Docker daemon. Testcontainers talks to /var/run/docker.sock.

2. Non-root access to the daemon. Testcontainers connects to the socket as whoever owns the test process and has no way to escalate, so running the tests with sudo does not help — an IDE such as Rider runs as your own user. Your user must be able to reach the socket unaided. On Linux:

sudo usermod -aG docker $USER

Then log out and back in — group membership is applied at login, so an existing shell or IDE will keep failing until you start a new session. Symptoms of missing this step:

Docker is either not running or misconfigured. Please ensure that Docker is running
and that the endpoint is properly configured.
  Details: Failed to connect to Docker endpoint at 'unix:///var/run/docker.sock'.

permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

Verify with:

docker info --format '{{.ServerVersion}}'   # must succeed without sudo

If Docker was installed as a snap, the docker group may not exist yet. Create it and restart the service first: sudo addgroup --system docker && sudo snap disable docker && sudo snap enable docker.

3. The images. Testcontainers pulls these on first run; pre-pulling avoids a first-run timeout:

docker pull redis:8.2
docker pull testcontainers/ryuk:0.14.0   # Testcontainers' container-cleanup sidecar

The ryuk tag is chosen by the Testcontainers package, not by this repo, so it changes when that package is upgraded. If the pull 404s, let Testcontainers pull it itself on the first test run, or read the current tag from the package.

You do not need to start Redis yourself — each test class starts and disposes its own container on a random port. The image tag is pinned in BaseCacheTest.RedisImage and must stay on Redis 8.x.

Once the above is in place, run everything:

dotnet test src/HybridRedisCache.sln

Contributing

Contributions are welcome! If you find a bug or have a feature request, please open an issue or submit a pull request. If you'd like to contribute to HybridRedisCache, please follow these steps:

1. Fork the repository.
2. Create a new branch for your changes.
3. Make your changes and commit them.
4. Push your changes to your fork.
5. Submit a pull request.

License

HybridRedisCache is licensed under the Apache License, Version 2.0. See the LICENSE file for more information.