[转]Asp.net Core 使用Redis存储Session

本文介绍如何在ASP.NET Core应用中使用Redis作为Session存储,包括必要的类库引用及实现细节。

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本文转自:http://www.cnblogs.com/hantianwei/p/5723959.html

 

前言

  Asp.net Core 改变了之前的封闭,现在开源且开放,下面我们来用Redis存储Session来做一个简单的测试,或者叫做中间件(middleware)。

  对于Session来说褒贬不一,很多人直接说不要用,也有很多人在用,这个也没有绝对的这义,个人认为只要不影什么且又可以方便实现的东西是可以用的,现在不对可不可用做表态,我们只关心实现。

类库引用

  这个相对于之前的.net是方便了不少,需要在project.json中的dependencies节点中添加如下内容:

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

Redis实现

这里并非我实现,而是借用https://github.com/aspnet/Caching/tree/dev/src/Microsoft.Extensions.Caching.Redis代码来实现,不知道为什么之前还有这个类库,而现在NUGET止没有了,为了不影响日后升级我的命名空间也用 Microsoft.Extensions.Caching.Redis

可以看到微软这里有四个类,其实我们只需要三个,第四个拿过来反而会出错:

复制代码
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 +
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