Smart.StackRedis 4.2.0

Smart.StackRedis

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English

Smart.StackRedis is a modern Redis client library built on top of StackExchange.Redis, designed for .NET 8, 9 and 10 platforms. It provides native dependency injection support, type-safe operations, and follows modern .NET development conventions.

Features

• Native Dependency Injection: Seamless integration with Microsoft.Extensions.DependencyInjection
• Fully Async Operations: Complete async/await support for all operations
• Global Key Prefix: Automatic key prefixing for all operations
• Distributed Lock: Built-in distributed lock support with timeout handling
• Atomic Operations: Redis counter with atomic increment/decrement operations
• Pub/Sub Support: Complete publish/subscribe functionality with automatic re-subscription on connection restore
• Modular Data Types: Separate modules for each Redis data type (String, Hash, List, Set, SortedSet, Stream)
• Connection Management: Automatic reconnection and connection pool management
• JSON Serialization: Integrated JSON serialization with customizable options
• Transaction Support: Redis transactions for multi-operation atomicity
• Pipeline Operations: Batch operations using Redis pipelines for better performance

Installation

Install the package via NuGet:

dotnet add package Smart.StackRedis

Configuration

1. Service Registration

Register the Redis service in your Program.cs or Startup.cs:

using Smart.StackRedis;

builder.Services.AddSmartRedis(new RedisOption
{
    Server = "127.0.0.1:6379,password=password,asyncTimeout=5000,abortConnect=false",
    Prefix = "prod:"
});

Or use configuration from appsettings.json:

{
  "RedisOption": {
    "Server": "localhost:6379,connectRetry=3",
    "Prefix": "prod:",
    "ConnectTimeout": 15000,
    "SyncTimeout": 5000,
    "AbortOnConnectFail": false,
    "ConnectRetry": 3
  }
}

builder.Services.AddSmartRedis(builder.Configuration.GetSection("RedisOption"));

Usage Examples

1. Basic String Operations

Store and retrieve objects with automatic JSON serialization:

public class UserService(SmartRedisService redis)
{
    public async Task CacheUser(User user)
    {
        await redis.String.SetAsync($"users:{user.Id}", user, TimeSpan.FromHours(1));
    }

    public async Task<User?> GetUser(string userId)
    {
        return await redis.String.GetAsync<User>($"users:{userId}");
    }
}

2. Hash Operations

Manage hash fields efficiently:

public class ProfileService(SmartRedisService redis)
{
    public async Task UpdateProfile(string userId, string field, object value)
    {
        await redis.Hash.SetAsync($"profiles:{userId}", field, value);
    }

    public async Task<Dictionary<string, T?>> GetProfile<T>(string userId)
    {
        return await redis.Hash.GetAllAsync<T>($"profiles:{userId}");
    }
}

3. List Operations

Implement queues and stacks:

public class QueueService(SmartRedisService redis)
{
    public async Task EnqueueJob(Job job)
    {
        await redis.List.RightPushAsync("jobs:queue", job);
    }

    public async Task<Job?> DequeueJob()
    {
        return await redis.List.LeftPopAsync<Job>("jobs:queue");
    }
}

4. Set Operations

Manage unique collections:

public class TagService(SmartRedisService redis)
{
    public async Task AddTags(string userId, params string[] tags)
    {
        await redis.Set.AddAsync($"user:{userId}:tags", tags);
    }

    public async Task<string[]> GetTags(string userId)
    {
        return await redis.Set.MembersAsync($"user:{userId}:tags");
    }
}

5. Sorted Set Operations

Handle ranked data:

public class LeaderboardService(SmartRedisService redis)
{
    public async Task AddScore(string userId, double score)
    {
        await redis.SortedSet.AddAsync("leaderboard", userId, score);
    }

    public async Task<Dictionary<string, double>> GetTopPlayers(int count)
    {
        return await redis.SortedSet.RangeByRankAsync("leaderboard", 0, count - 1, Order.Descending);
    }
}

6. Stream Operations

Process message streams:

public class EventService(SmartRedisService redis)
{
    public async Task PublishEvent(string eventType, Dictionary<string, string> data)
    {
        await redis.Stream.AddAsync($"events:{eventType}", data);
    }

    public async Task<StreamEntry[]> ReadEvents(string eventType, string groupName, string consumerName)
    {
        return await redis.Stream.ReadGroupAsync($"events:{eventType}", groupName, consumerName);
    }
}

7. Distributed Lock

Implement distributed locking:

public class OrderService(SmartRedisService redis)
{
    public async Task ProcessOrder(string orderId)
    {
        var lockKey = $"order:lock:{orderId}";
        var acquired = await redis.Lock.AcquireAsync(lockKey, TimeSpan.FromSeconds(30));

        if (!acquired)
        {
            throw new InvalidOperationException("Order is being processed by another instance");
        }

        try
        {
            await ProcessOrderInternal(orderId);
        }
        finally
        {
            await redis.Lock.ReleaseAsync(lockKey);
        }
    }
}

8. Atomic Counter

Implement distributed counters:

public class CounterService(SmartRedisService redis)
{
    public async Task<long> IncrementViewCount(string articleId)
    {
        return await redis.Counter.IncrementAsync($"article:{articleId}:views");
    }

    public async Task<long> GetViewCount(string articleId)
    {
        return await redis.Counter.GetAsync($"article:{articleId}:views");
    }
}

9. Publish/Subscribe

Implement pub/sub messaging:

public class NotificationService(SmartRedisService redis)
{
    public NotificationService(SmartRedisService redis)
    {
        redis.SubscribeReceived += OnMessageReceived;
    }

    private void OnMessageReceived(string channel, string message)
    {
        Console.WriteLine($"Received message on {channel}: {message}");
    }

    public async Task SubscribeToNotifications()
    {
        await redis.Subscribe.SubscribeAsync("notifications");
    }

    public async Task PublishNotification(string message)
    {
        await redis.Subscribe.PublishAsync("notifications", message);
    }
}

10. Pipeline Operations

Batch operations for better performance:

public class BatchService(SmartRedisService redis)
{
    public async Task BatchUpdate(Dictionary<string, string> data)
    {
        var batch = redis.GetDatabase().CreateBatch();

        var tasks = data.Select(kv =>
            batch.StringSetAsync(kv.Key, kv.Value)
        ).ToArray();

        batch.Execute();
        await Task.WhenAll(tasks);
    }
}

Core Modules

Configuration Options

public class RedisOption
{
    public string Server { get; set; }
    public string Prefix { get; set; }
    public int ConnectTimeout { get; set; } = 15000;
    public int SyncTimeout { get; set; } = 5000;
    public bool AbortOnConnectFail { get; set; } = false;
    public int ConnectRetry { get; set; } = 3;
    public JsonSerializerOptions JsonSerializerOptions { get; set; }
}

Best Practices

1. Key Naming Convention

   • Use the format business:environment:entity:id
   • Example: orders:prod:2024, users:dev:session:12345

2. Batch Operations

   • Use pipelines for bulk operations to reduce round trips
   • Example: Batch set multiple keys in a single operation

3. Error Handling

   try
   {
       await redis.String.SetAsync(...);
   }
   catch (RedisConnectionException ex)
   {
       // Handle connection errors
   }
   catch (RedisTimeoutException ex)
   {
       // Handle timeout errors
   }
   

4. Connection String

   • Always include abortConnect=false to allow reconnection
   • Set appropriate timeout values based on your network conditions

5. Memory Management

   • Set appropriate expiration times for cached data
   • Use ExpireAsync to set TTL on keys

Important Notes

• Connection String: Must include abortConnect=false for automatic reconnection
• Security: Store sensitive configuration (passwords) in secure configuration providers
• Performance: Avoid creating connections frequently in hot paths
• Pub/Sub: Handle message backlog scenarios for pub/sub operations
• Stream: Redis Stream operations require Redis 5.0 or higher
• Thread Safety: The SmartRedisService instance is thread-safe and can be shared across the application

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中文

Smart.StackRedis 是一个基于 StackExchange.Redis 构建的现代化 Redis 客户端库，专为 .NET 8、9 和 10 平台设计。它提供原生依赖注入支持、类型安全的操作，并遵循现代 .NET 开发规范。

功能特性

• 原生依赖注入: 与 Microsoft.Extensions.DependencyInjection 无缝集成
• 全异步操作: 所有操作均支持 async/await
• 全局键前缀: 所有操作自动附加键前缀
• 分布式锁: 内置分布式锁支持，带超时处理
• 原子操作: Redis 计数器支持原子递增/递减操作
• 发布订阅: 完整的发布/订阅功能，连接恢复时自动重新订阅
• 模块化数据类型: 为每种 Redis 数据类型提供独立模块（String、Hash、List、Set、SortedSet、Stream）
• 连接管理: 自动重连和连接池管理
• JSON 序列化: 集成 JSON 序列化，支持自定义选项
• 事务支持: Redis 事务支持多操作原子性
• 管道操作: 使用 Redis 管道进行批量操作以提升性能

安装

通过 NuGet 安装：

dotnet add package Smart.StackRedis

配置

1. 服务注册

在 Program.cs 或 Startup.cs 中注册 Redis 服务：

using Smart.StackRedis;

builder.Services.AddSmartRedis(new RedisOption
{
    Server = "127.0.0.1:6379,password=password,asyncTimeout=5000,abortConnect=false",
    Prefix = "prod:"
});

或从 appsettings.json 加载配置：

{
  "RedisOption": {
    "Server": "localhost:6379,connectRetry=3",
    "Prefix": "prod:",
    "ConnectTimeout": 15000,
    "SyncTimeout": 5000,
    "AbortOnConnectFail": false,
    "ConnectRetry": 3
  }
}

builder.Services.AddSmartRedis(builder.Configuration.GetSection("RedisOption"));

使用示例

1. 基础字符串操作

存储和检索对象，自动进行 JSON 序列化：

public class UserService(SmartRedisService redis)
{
    public async Task CacheUser(User user)
    {
        await redis.String.SetAsync($"users:{user.Id}", user, TimeSpan.FromHours(1));
    }

    public async Task<User?> GetUser(string userId)
    {
        return await redis.String.GetAsync<User>($"users:{userId}");
    }
}

2. 哈希表操作

高效管理哈希字段：

public class ProfileService(SmartRedisService redis)
{
    public async Task UpdateProfile(string userId, string field, object value)
    {
        await redis.Hash.SetAsync($"profiles:{userId}", field, value);
    }

    public async Task<Dictionary<string, T?>> GetProfile<T>(string userId)
    {
        return await redis.Hash.GetAllAsync<T>($"profiles:{userId}");
    }
}

3. 列表操作

实现队列和栈：

public class QueueService(SmartRedisService redis)
{
    public async Task EnqueueJob(Job job)
    {
        await redis.List.RightPushAsync("jobs:queue", job);
    }

    public async Task<Job?> DequeueJob()
    {
        return await redis.List.LeftPopAsync<Job>("jobs:queue");
    }
}

4. 集合操作

管理唯一集合：

public class TagService(SmartRedisService redis)
{
    public async Task AddTags(string userId, params string[] tags)
    {
        await redis.Set.AddAsync($"user:{userId}:tags", tags);
    }

    public async Task<string[]> GetTags(string userId)
    {
        return await redis.Set.MembersAsync($"user:{userId}:tags");
    }
}

5. 有序集合操作

处理排名数据：

public class LeaderboardService(SmartRedisService redis)
{
    public async Task AddScore(string userId, double score)
    {
        await redis.SortedSet.AddAsync("leaderboard", userId, score);
    }

    public async Task<Dictionary<string, double>> GetTopPlayers(int count)
    {
        return await redis.SortedSet.RangeByRankAsync("leaderboard", 0, count - 1, Order.Descending);
    }
}

6. 流操作

处理消息流：

public class EventService(SmartRedisService redis)
{
    public async Task PublishEvent(string eventType, Dictionary<string, string> data)
    {
        await redis.Stream.AddAsync($"events:{eventType}", data);
    }

    public async Task<StreamEntry[]> ReadEvents(string eventType, string groupName, string consumerName)
    {
        return await redis.Stream.ReadGroupAsync($"events:{eventType}", groupName, consumerName);
    }
}

7. 分布式锁

实现分布式锁定：

public class OrderService(SmartRedisService redis)
{
    public async Task ProcessOrder(string orderId)
    {
        var lockKey = $"order:lock:{orderId}";
        var acquired = await redis.Lock.AcquireAsync(lockKey, TimeSpan.FromSeconds(30));

        if (!acquired)
        {
            throw new InvalidOperationException("订单正在被其他实例处理");
        }

        try
        {
            await ProcessOrderInternal(orderId);
        }
        finally
        {
            await redis.Lock.ReleaseAsync(lockKey);
        }
    }
}

8. 原子计数器

实现分布式计数器：

public class CounterService(SmartRedisService redis)
{
    public async Task<long> IncrementViewCount(string articleId)
    {
        return await redis.Counter.IncrementAsync($"article:{articleId}:views");
    }

    public async Task<long> GetViewCount(string articleId)
    {
        return await redis.Counter.GetAsync($"article:{articleId}:views");
    }
}

9. 发布订阅

实现发布/订阅消息：

public class NotificationService(SmartRedisService redis)
{
    public NotificationService(SmartRedisService redis)
    {
        redis.SubscribeReceived += OnMessageReceived;
    }

    private void OnMessageReceived(string channel, string message)
    {
        Console.WriteLine($"在 {channel} 收到消息: {message}");
    }

    public async Task SubscribeToNotifications()
    {
        await redis.Subscribe.SubscribeAsync("notifications");
    }

    public async Task PublishNotification(string message)
    {
        await redis.Subscribe.PublishAsync("notifications", message);
    }
}

10. 管道操作

批量操作以提升性能：

public class BatchService(SmartRedisService redis)
{
    public async Task BatchUpdate(Dictionary<string, string> data)
    {
        var batch = redis.GetDatabase().CreateBatch();

        var tasks = data.Select(kv =>
            batch.StringSetAsync(kv.Key, kv.Value)
        ).ToArray();

        batch.Execute();
        await Task.WhenAll(tasks);
    }
}

核心模块

配置选项

public class RedisOption
{
    public string Server { get; set; }
    public string Prefix { get; set; }
    public int ConnectTimeout { get; set; } = 15000;
    public int SyncTimeout { get; set; } = 5000;
    public bool AbortOnConnectFail { get; set; } = false;
    public int ConnectRetry { get; set; } = 3;
    public JsonSerializerOptions JsonSerializerOptions { get; set; }
}

最佳实践

1. 键命名规范

   • 使用格式 业务:环境:实体:ID
   • 示例: orders:prod:2024, users:dev:session:12345

2. 批量操作

   • 使用管道进行批量操作以减少往返次数
   • 示例: 在单个操作中批量设置多个键

3. 异常处理

   try
   {
       await redis.String.SetAsync(...);
   }
   catch (RedisConnectionException ex)
   {
       // 处理连接错误
   }
   catch (RedisTimeoutException ex)
   {
       // 处理超时错误
   }
   

4. 连接字符串

   • 始终包含 abortConnect=false 以允许自动重连
   • 根据网络条件设置适当的超时值

5. 内存管理

   • 为缓存数据设置适当的过期时间
   • 使用 ExpireAsync 设置键的 TTL

注意事项

• 连接字符串: 必须包含 abortConnect=false 以支持自动重连
• 安全性: 敏感配置（如密码）应存储在安全的配置提供程序中
• 性能: 避免在热路径中频繁创建连接
• 发布订阅: 处理发布/订阅操作中的消息积压场景
• 流: Redis Stream 操作需要 Redis 5.0 或更高版本
• 线程安全: SmartRedisService 实例是线程安全的，可以在整个应用程序中共享

Developed by zenglei