程序師世界是廣大編程愛好者互助、分享、學習的平台,程序師世界有你更精彩!
首頁
編程語言
C語言|JAVA編程
Python編程
網頁編程
ASP編程|PHP編程
JSP編程
數據庫知識
MYSQL數據庫|SqlServer數據庫
Oracle數據庫|DB2數據庫
 程式師世界 >> 編程語言 >> .NET網頁編程 >> ASP.NET >> ASP.NET基礎 >> 詳解Asp.net Core 使用Redis存儲Session

詳解Asp.net Core 使用Redis存儲Session

編輯:ASP.NET基礎

前言

Asp.net Core 改變了之前的封閉,現在開源且開放,下面我們來用Redis存儲Session來做一個簡單的測試,或者叫做中間件(middleware)。

對於Session來說褒貶不一,很多人直接說不要用,也有很多人在用,這個也沒有絕對的這義,個人認為只要不影什麼且又可以方便實現的東西是可以用的,現在不對可不可用做表態,我們只關心實現。

類庫引用

這個相對於之前的.net是方便了不少,需要在project.json中的dependencies節點中添加如下內容:

  "StackExchange.Redis": "1.1.604-alpha",
  "Microsoft.AspNetCore.Session": "1.1.0-alpha1-21694"

Redis實現

這裡並非我實現,而是借用不知道為什麼之前還有這個類庫,而現在NUGET止沒有了,為了不影響日後升級我的命名空間也用 Microsoft.Extensions.Caching.Redis

可以看到微軟這裡有四個類,其實我們只需要三個,第四個拿過來反而會出錯:

using System;
using System.Threading.Tasks;
using Microsoft.Extensions.Caching.Distributed;
using Microsoft.Extensions.Options;
using StackExchange.Redis;

namespace Microsoft.Extensions.Caching.Redis
{
  public class RedisCache : IDistributedCache, IDisposable
  {
    // KEYS[1] = = key
    // ARGV[1] = absolute-expiration - ticks as long (-1 for none)
    // ARGV[2] = sliding-expiration - ticks as long (-1 for none)
    // ARGV[3] = relative-expiration (long, in seconds, -1 for none) - Min(absolute-expiration - Now, sliding-expiration)
    // ARGV[4] = data - byte[]
    // this order should not change LUA script depends on it
    private const string SetScript = (@"
        redis.call('HMSET', KEYS[1], 'absexp', ARGV[1], 'sldexp', ARGV[2], 'data', ARGV[4])
        if ARGV[3] ~= '-1' then
         redis.call('EXPIRE', KEYS[1], ARGV[3])
        end
        return 1");
    private const string AbsoluteExpirationKey = "absexp";
    private const string SlidingExpirationKey = "sldexp";
    private const string DataKey = "data";
    private const long NotPresent = -1;

    private ConnectionMultiplexer _connection;
    private IDatabase _cache;

    private readonly RedisCacheOptions _options;
    private readonly string _instance;

    public RedisCache(IOptions<RedisCacheOptions> optionsAccessor)
    {
      if (optionsAccessor == null)
      {
        throw new ArgumentNullException(nameof(optionsAccessor));
      }

      _options = optionsAccessor.Value;

      // This allows partitioning a single backend cache for use with multiple apps/services.
      _instance = _options.InstanceName ?? string.Empty;
    }

    public byte[] Get(string key)
    {
      if (key == null)
      {
        throw new ArgumentNullException(nameof(key));
      }

      return GetAndRefresh(key, getData: true);
    }

    public async Task<byte[]> GetAsync(string key)
    {
      if (key == null)
      {
        throw new ArgumentNullException(nameof(key));
      }

      return await GetAndRefreshAsync(key, getData: true);
    }

    public void Set(string key, byte[] value, DistributedCacheEntryOptions options)
    {
      if (key == null)
      {
        throw new ArgumentNullException(nameof(key));
      }

      if (value == null)
      {
        throw new ArgumentNullException(nameof(value));
      }

      if (options == null)
      {
        throw new ArgumentNullException(nameof(options));
      }

      Connect();

      var creationTime = DateTimeOffset.UtcNow;

      var absoluteExpiration = GetAbsoluteExpiration(creationTime, options);

      var result = _cache.ScriptEvaluate(SetScript, new RedisKey[] { _instance + key },
        new RedisValue[]
        {
            absoluteExpiration?.Ticks ?? NotPresent,
            options.SlidingExpiration?.Ticks ?? NotPresent,
            GetExpirationInSeconds(creationTime, absoluteExpiration, options) ?? NotPresent,
            value
        });
    }

    public async Task SetAsync(string key, byte[] value, DistributedCacheEntryOptions options)
    {
      if (key == null)
      {
        throw new ArgumentNullException(nameof(key));
      }

      if (value == null)
      {
        throw new ArgumentNullException(nameof(value));
      }

      if (options == null)
      {
        throw new ArgumentNullException(nameof(options));
      }

      await ConnectAsync();

      var creationTime = DateTimeOffset.UtcNow;

      var absoluteExpiration = GetAbsoluteExpiration(creationTime, options);

      await _cache.ScriptEvaluateAsync(SetScript, new RedisKey[] { _instance + key },
        new RedisValue[]
        {
            absoluteExpiration?.Ticks ?? NotPresent,
            options.SlidingExpiration?.Ticks ?? NotPresent,
            GetExpirationInSeconds(creationTime, absoluteExpiration, options) ?? NotPresent,
            value
        });
    }

    public void Refresh(string key)
    {
      if (key == null)
      {
        throw new ArgumentNullException(nameof(key));
      }

      GetAndRefresh(key, getData: false);
    }

    public async Task RefreshAsync(string key)
    {
      if (key == null)
      {
        throw new ArgumentNullException(nameof(key));
      }

      await GetAndRefreshAsync(key, getData: false);
    }

    private void Connect()
    {
      if (_connection == null)
      {
        _connection = ConnectionMultiplexer.Connect(_options.Configuration);
        _cache = _connection.GetDatabase();
      }
    }

    private async Task ConnectAsync()
    {
      if (_connection == null)
      {
        _connection = await ConnectionMultiplexer.ConnectAsync(_options.Configuration);
        _cache = _connection.GetDatabase();
      }
    }

    private byte[] GetAndRefresh(string key, bool getData)
    {
      if (key == null)
      {
        throw new ArgumentNullException(nameof(key));
      }

      Connect();

      // This also resets the LRU status as desired.
      // TODO: Can this be done in one operation on the server side? Probably, the trick would just be the DateTimeOffset math.
      RedisValue[] results;
      if (getData)
      {
        results = _cache.HashMemberGet(_instance + key, AbsoluteExpirationKey, SlidingExpirationKey, DataKey);
      }
      else
      {
        results = _cache.HashMemberGet(_instance + key, AbsoluteExpirationKey, SlidingExpirationKey);
      }

      // TODO: Error handling
      if (results.Length >= 2)
      {
        // Note we always get back two results, even if they are all null.
        // These operations will no-op in the null scenario.
        DateTimeOffset? absExpr;
        TimeSpan? sldExpr;
        MapMetadata(results, out absExpr, out sldExpr);
        Refresh(key, absExpr, sldExpr);
      }

      if (results.Length >= 3 && results[2].HasValue)
      {
        return results[2];
      }

      return null;
    }

    private async Task<byte[]> GetAndRefreshAsync(string key, bool getData)
    {
      if (key == null)
      {
        throw new ArgumentNullException(nameof(key));
      }

      await ConnectAsync();

      // This also resets the LRU status as desired.
      // TODO: Can this be done in one operation on the server side? Probably, the trick would just be the DateTimeOffset math.
      RedisValue[] results;
      if (getData)
      {
        results = await _cache.HashMemberGetAsync(_instance + key, AbsoluteExpirationKey, SlidingExpirationKey, DataKey);
      }
      else
      {
        results = await _cache.HashMemberGetAsync(_instance + key, AbsoluteExpirationKey, SlidingExpirationKey);
      }

      // TODO: Error handling
      if (results.Length >= 2)
      {
        // Note we always get back two results, even if they are all null.
        // These operations will no-op in the null scenario.
        DateTimeOffset? absExpr;
        TimeSpan? sldExpr;
        MapMetadata(results, out absExpr, out sldExpr);
        await RefreshAsync(key, absExpr, sldExpr);
      }

      if (results.Length >= 3 && results[2].HasValue)
      {
        return results[2];
      }

      return null;
    }

    public void Remove(string key)
    {
      if (key == null)
      {
        throw new ArgumentNullException(nameof(key));
      }

      Connect();

      _cache.KeyDelete(_instance + key);
      // TODO: Error handling
    }

    public async Task RemoveAsync(string key)
    {
      if (key == null)
      {
        throw new ArgumentNullException(nameof(key));
      }

      await ConnectAsync();

      await _cache.KeyDeleteAsync(_instance + key);
      // TODO: Error handling
    }

    private void MapMetadata(RedisValue[] results, out DateTimeOffset? absoluteExpiration, out TimeSpan? slidingExpiration)
    {
      absoluteExpiration = null;
      slidingExpiration = null;
      var absoluteExpirationTicks = (long?)results[0];
      if (absoluteExpirationTicks.HasValue && absoluteExpirationTicks.Value != NotPresent)
      {
        absoluteExpiration = new DateTimeOffset(absoluteExpirationTicks.Value, TimeSpan.Zero);
      }
      var slidingExpirationTicks = (long?)results[1];
      if (slidingExpirationTicks.HasValue && slidingExpirationTicks.Value != NotPresent)
      {
        slidingExpiration = new TimeSpan(slidingExpirationTicks.Value);
      }
    }

    private void Refresh(string key, DateTimeOffset? absExpr, TimeSpan? sldExpr)
    {
      if (key == null)
      {
        throw new ArgumentNullException(nameof(key));
      }

      // Note Refresh has no effect if there is just an absolute expiration (or neither).
      TimeSpan? expr = null;
      if (sldExpr.HasValue)
      {
        if (absExpr.HasValue)
        {
          var relExpr = absExpr.Value - DateTimeOffset.Now;
          expr = relExpr <= sldExpr.Value ? relExpr : sldExpr;
        }
        else
        {
          expr = sldExpr;
        }
        _cache.KeyExpire(_instance + key, expr);
        // TODO: Error handling
      }
    }

    private async Task RefreshAsync(string key, DateTimeOffset? absExpr, TimeSpan? sldExpr)
    {
      if (key == null)
      {
        throw new ArgumentNullException(nameof(key));
      }

      // Note Refresh has no effect if there is just an absolute expiration (or neither).
      TimeSpan? expr = null;
      if (sldExpr.HasValue)
      {
        if (absExpr.HasValue)
        {
          var relExpr = absExpr.Value - DateTimeOffset.Now;
          expr = relExpr <= sldExpr.Value ? relExpr : sldExpr;
        }
        else
        {
          expr = sldExpr;
        }
        await _cache.KeyExpireAsync(_instance + key, expr);
        // TODO: Error handling
      }
    }

    private static long? GetExpirationInSeconds(DateTimeOffset creationTime, DateTimeOffset? absoluteExpiration, DistributedCacheEntryOptions options)
    {
      if (absoluteExpiration.HasValue && options.SlidingExpiration.HasValue)
      {
        return (long)Math.Min(
          (absoluteExpiration.Value - creationTime).TotalSeconds,
          options.SlidingExpiration.Value.TotalSeconds);
      }
      else if (absoluteExpiration.HasValue)
      {
        return (long)(absoluteExpiration.Value - creationTime).TotalSeconds;
      }
      else if (options.SlidingExpiration.HasValue)
      {
        return (long)options.SlidingExpiration.Value.TotalSeconds;
      }
      return null;
    }

    private static DateTimeOffset? GetAbsoluteExpiration(DateTimeOffset creationTime, DistributedCacheEntryOptions options)
    {
      if (options.AbsoluteExpiration.HasValue && options.AbsoluteExpiration <= creationTime)
      {
        throw new ArgumentOutOfRangeException(
          nameof(DistributedCacheEntryOptions.AbsoluteExpiration),
          options.AbsoluteExpiration.Value,
          "The absolute expiration value must be in the future.");
      }
      var absoluteExpiration = options.AbsoluteExpiration;
      if (options.AbsoluteExpirationRelativeToNow.HasValue)
      {
        absoluteExpiration = creationTime + options.AbsoluteExpirationRelativeToNow;
      }

      return absoluteExpiration;
    }

    public void Dispose()
    {
      if (_connection != null)
      {
        _connection.Close();
      }
    }
  }
}

using Microsoft.Extensions.Options;

namespace Microsoft.Extensions.Caching.Redis
{
  /// <summary>
  /// Configuration options for <see cref="RedisCache"/>.
  /// </summary>
  public class RedisCacheOptions : IOptions<RedisCacheOptions>
  {
    /// <summary>
    /// The configuration used to connect to Redis.
    /// </summary>
    public string Configuration { get; set; }

    /// <summary>
    /// The Redis instance name.
    /// </summary>
    public string InstanceName { get; set; }

    RedisCacheOptions IOptions<RedisCacheOptions>.Value
    {
      get { return this; }
    }
  }
}

using System.Threading.Tasks;
using StackExchange.Redis;

namespace Microsoft.Extensions.Caching.Redis
{
  internal static class RedisExtensions
  {
    private const string HmGetScript = (@"return redis.call('HMGET', KEYS[1], unpack(ARGV))");

    internal static RedisValue[] HashMemberGet(this IDatabase cache, string key, params string[] members)
    {
      var result = cache.ScriptEvaluate(
        HmGetScript,
        new RedisKey[] { key },
        GetRedisMembers(members));

      // TODO: Error checking?
      return (RedisValue[])result;
    }

    internal static async Task<RedisValue[]> HashMemberGetAsync(
      this IDatabase cache,
      string key,
      params string[] members)
    {
      var result = await cache.ScriptEvaluateAsync(
        HmGetScript,
        new RedisKey[] { key },
        GetRedisMembers(members));

      // TODO: Error checking?
      return (RedisValue[])result;
    }

    private static RedisValue[] GetRedisMembers(params string[] members)
    {
      var redisMembers = new RedisValue[members.Length];
      for (int i = 0; i < members.Length; i++)
      {
        redisMembers[i] = (RedisValue)members[i];
      }

      return redisMembers;
    }
  }
}

配置啟用Session

我們在Startup中ConfigureServices增加

services.AddSingleton<IDistributedCache>(
        serviceProvider =>
          new RedisCache(new RedisCacheOptions
          {
            Configuration = "192.168.178.141:6379",
            InstanceName = "Sample:"
          }));
      services.AddSession();

在Startup中Configure增加

app.UseSession(new SessionOptions() { IdleTimeout = TimeSpan.FromMinutes(30) });

到此我們的配置完畢,可以測試一下是否寫到了Redis中

驗證結果

在Mvc項目中,我們來實現如下代碼

if (string.IsNullOrEmpty(HttpContext.Session.GetString("D")))
      {
        var d = DateTime.Now.ToString();
        HttpContext.Session.SetString("D", d);
        HttpContext.Response.ContentType = "text/plain";
        await HttpContext.Response.WriteAsync("Hello First timer///" + d);
      }
      else
      {
        HttpContext.Response.ContentType = "text/plain";
        await HttpContext.Response.WriteAsync("Hello old timer///" + HttpContext.Session.GetString("D"));
      }

運行我們發現第一次出現了Hello First timer字樣,刷新後出現了Hello old timer字樣,證明Session成功,再查看一下Redis看一下,有值了,這樣一個分布式的Session就成功實現了。

對於上面的實例我把源碼放在了:demo下載

Tianwei.Microsoft.Extensions.Caching.Redis ,只是ID加了Tianwei 空間名還是Microsoft.Extensions.Caching.Redis

從上面的實例我們發現微軟這次是真的開放了,這也意味著如果我們使用某些類不順手或不合適時可以自已寫自已擴展

以上就是本文的全部內容,希望對大家的學習有所幫助,也希望大家多多支持腳本之家。

  1. 上一頁:
  2. 下一頁:
Copyright © 程式師世界 All Rights Reserved