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using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Net.Sockets;
using System.Threading;
using System.Threading.Tasks;
using NewLife.Collections;
using NewLife.Configuration;
using NewLife.Data;
using NewLife.Log;
using NewLife.Model;
using NewLife.Net;
using NewLife.Reflection;
namespace NewLife.Caching
{
/// <summary>Redis客户端</summary>
/// <remarks>
/// 文档 https://www.yuque.com/smartstone/nx/redis
///
/// 强烈建议保持唯一的Redis对象供多次使用,Redis内部有连接池并且支持多线程并发访问。
/// 高级功能需要引用NewLife.Redis,然后实例化FullRedis类。
/// </remarks>
public class Redis : Cache, IConfigMapping
{
#region 属性
/// <summary>服务器,带端口。例如127.0.0.1:6397,支持逗号分隔的多地址,网络异常时,自动切换到其它节点,60秒后切回来</summary>
public String Server { get; set; }
/// <summary>用户名。Redis6.0支持</summary>
public String UserName { get; set; }
/// <summary>密码</summary>
public String Password { get; set; }
/// <summary>目标数据库。默认0</summary>
public Int32 Db { get; set; }
/// <summary>读写超时时间。默认3000ms</summary>
public Int32 Timeout { get; set; } = 3_000;
/// <summary>出错重试次数。如果出现协议解析错误,可以重试的次数,默认3</summary>
public Int32 Retry { get; set; } = 3;
/// <summary>完全管道。读取操作是否合并进入管道,默认false</summary>
public Boolean FullPipeline { get; set; }
/// <summary>自动管道。管道操作达到一定数量时,自动提交,默认0</summary>
public Int32 AutoPipeline { get; set; }
/// <summary>编码器。决定对象存储在redis中的格式,默认json</summary>
public IRedisEncoder Encoder { get; set; } = new RedisJsonEncoder();
/// <summary>失败时抛出异常。默认true</summary>
public Boolean ThrowOnFailure { get; set; } = true;
/// <summary>最大消息大小。超过时抛出异常,默认1024*1024字节,行业标准是32k算大Value,这里超过1m报错</summary>
public Int32 MaxMessageSize { get; set; } = 1024 * 1024;
/// <summary>性能计数器</summary>
public PerfCounter Counter { get; set; }
/// <summary>性能跟踪器。仅记录read/write,形成调用链,key在tag中,没有记录异常。高速海量操作时不建议开启</summary>
public ITracer Tracer { get; set; }
private IDictionary<String, String> _Info;
/// <summary>服务器信息</summary>
public IDictionary<String, String> Info => _Info ??= GetInfo();
#endregion
#region 构造
/// <summary>实例化</summary>
public Redis() { }
/// <summary>实例化Redis,指定服务器地址、密码、库</summary>
/// <param name="server"></param>
/// <param name="password"></param>
/// <param name="db"></param>
public Redis(String server, String password, Int32 db)
{
// 有人多输入了一个空格,酿成大祸
Server = server?.Trim();
Password = password?.Trim();
Db = db;
}
/// <summary>实例化Redis,指定服务器地址、用户、密码、库</summary>
/// <param name="server"></param>
/// <param name="username"></param>
/// <param name="password"></param>
/// <param name="db"></param>
public Redis(String server, String username, String password, Int32 db)
{
// 有人多输入了一个空格,酿成大祸
Server = server?.Trim();
UserName = username?.Trim();
Password = password?.Trim();
Db = db;
}
/// <summary>按照配置服务实例化Redis,用于NETCore依赖注入</summary>
/// <param name="provider">服务提供者,将要解析IConfigProvider</param>
/// <param name="name">缓存名称,也是配置中心key</param>
public Redis(IServiceProvider provider, String name)
{
Name = name;
Tracer = provider.GetService<ITracer>();
var configProvider = provider.GetRequiredService<IConfigProvider>();
configProvider.Bind(this, true, name);
}
/// <summary>销毁</summary>
/// <param name="disposing"></param>
protected override void Dispose(Boolean disposing)
{
base.Dispose(disposing);
try
{
Commit();
}
catch { }
_Pool.TryDispose();
}
/// <summary>已重载。</summary>
/// <returns></returns>
public override String ToString() => $"{Name} Server={Server} Db={Db}";
#endregion
#region 配置方法
private String _configOld;
/// <summary>使用连接字符串初始化</summary>
/// <param name="config"></param>
public override void Init(String config)
{
if (config.IsNullOrEmpty()) return;
if (config == _configOld) return;
if (!_configOld.IsNullOrEmpty()) XTrace.WriteLine("Redis[{0}]连接字符串改变!", Name);
var dic =
config.Contains(',') && !config.Contains(';') ?
config.SplitAsDictionary("=", ",", true) :
config.SplitAsDictionary("=", ";", true);
if (dic.Count > 0)
{
Server = dic["Server"]?.Trim();
UserName = dic["UserName"]?.Trim();
Password = dic["Password"]?.Trim();
Db = dic["Db"].ToInt();
if (Server.IsNullOrEmpty() && dic.TryGetValue("[0]", out var svr)) Server = svr;
// 连接字符串可能独立写了port
var port = dic["Port"].ToInt();
if (port > 0 && !Server.Contains(':')) Server += ":" + port;
if (dic.TryGetValue("Timeout", out var str))
Timeout = str.ToInt();
else if (dic.TryGetValue("responseTimeout", out str))
Timeout = str.ToInt();
else if (dic.TryGetValue("connectTimeout", out str))
Timeout = str.ToInt();
if (dic.TryGetValue("ThrowOnFailure", out str))
ThrowOnFailure = str.ToBoolean();
if (dic.TryGetValue("MaxMessageSize", out str) && str.ToInt(-1) >= 0)
MaxMessageSize = str.ToInt();
if (dic.TryGetValue("Expire", out str) && str.ToInt(-1) >= 0)
Expire = str.ToInt();
}
// 更换Redis连接字符串时,清空原连接池
if (!_configOld.IsNullOrEmpty()) _Pool = null;
_configOld = config;
}
void IConfigMapping.MapConfig(IConfigProvider provider, IConfigSection section)
{
if (section != null && section.Value != null) Init(section.Value);
}
#endregion
#region 客户端池
private class MyPool : ObjectPool<RedisClient>
{
public Redis Instance { get; set; }
protected override RedisClient OnCreate() => Instance.OnCreate();
protected override Boolean OnGet(RedisClient value)
{
// 借出时清空残留
value?.Reset();
return base.OnGet(value);
}
}
private NetUri[] _servers;
private Int32 _idxServer;
private Int32 _idxLast = -1;
private DateTime _nextTrace;
/// <summary>创建连接客户端</summary>
/// <returns></returns>
protected virtual RedisClient OnCreate()
{
var svr = Server?.Trim();
if (svr.IsNullOrEmpty()) throw new ArgumentNullException(nameof(Server));
var svrs = _servers;
if (svrs == null)
{
var ss = svr.Split(',', StringSplitOptions.RemoveEmptyEntries);
var uris = new NetUri[ss.Length];
for (var i = 0; i < ss.Length; i++)
{
var svr2 = ss[i];
if (!svr2.Contains("://")) svr2 = "tcp://" + svr2;
var uri = new NetUri(svr2);
if (uri.Port == 0) uri.Port = 6379;
uris[i] = uri;
}
svrs = _servers = uris;
}
// 一定时间后,切换回来主节点
var idx = _idxServer;
if (idx > 0)
{
var now = DateTime.Now;
if (_nextTrace.Year < 2000) _nextTrace = now.AddSeconds(300);
if (now > _nextTrace)
{
_nextTrace = DateTime.MinValue;
idx = _idxServer = 0;
}
}
if (idx != _idxLast)
{
XTrace.WriteLine("Redis使用 {0}", svrs[idx % svrs.Length]);
_idxLast = idx;
}
var rc = new RedisClient(this, svrs[idx % svrs.Length])
{
Log = Log
};
//if (rds.Db > 0) rc.Select(rds.Db);
return rc;
}
private MyPool _Pool;
/// <summary>连接池</summary>
public IPool<RedisClient> Pool
{
get
{
if (_Pool != null) return _Pool;
lock (this)
{
if (_Pool != null) return _Pool;
var pool = new MyPool
{
Name = Name + "Pool",
Instance = this,
Min = 2,
Max = 1000,
IdleTime = 20,
AllIdleTime = 120,
Log = Log,
};
return _Pool = pool;
}
}
}
/// <summary>执行命令</summary>
/// <typeparam name="TResult">返回类型</typeparam>
/// <param name="key">命令key,用于选择集群节点</param>
/// <param name="func">回调函数</param>
/// <param name="write">是否写入操作</param>
/// <returns></returns>
public virtual TResult Execute<TResult>(String key, Func<RedisClient, TResult> func, Boolean write = false)
{
// 写入或完全管道模式时,才处理管道操作
if (write || FullPipeline)
{
// 管道模式直接执行
var rds = _client.Value;
if (rds == null && AutoPipeline > 0) rds = StartPipeline();
if (rds != null)
{
var rs = func(rds);
// 命令数足够,自动提交
if (AutoPipeline > 0 && rds.PipelineCommands >= AutoPipeline)
{
StopPipeline(true);
StartPipeline();
}
return rs;
}
}
// 读操作遇到未完成管道队列时,立马执行管道操作
if (!write) StopPipeline(true);
// 统计性能
var sw = Counter?.StartCount();
var i = 0;
var delay = 100;
do
{
// 每次重试都需要重新从池里借出连接
var pool = Pool;
var client = pool.Get();
try
{
client.Reset();
return func(client);
}
catch (InvalidDataException)
{
if (i++ >= Retry) throw;
// 销毁连接
client.TryDispose();
Thread.Sleep(delay);
delay *= 2;
}
catch (Exception ex)
{
if (ex is SocketException or IOException)
{
// 销毁连接
client.TryDispose();
// 网络异常时,自动切换到其它节点
_idxServer++;
if (++i < _servers.Length)
{
Thread.Sleep(100);
continue;
}
}
throw;
}
finally
{
pool.Put(client);
Counter?.StopCount(sw);
}
} while (true);
}
/// <summary>异步执行命令</summary>
/// <typeparam name="TResult">返回类型</typeparam>
/// <param name="key">命令key,用于选择集群节点</param>
/// <param name="func">回调函数</param>
/// <param name="write">是否写入操作</param>
/// <returns></returns>
public virtual async Task<TResult> ExecuteAsync<TResult>(String key, Func<RedisClient, Task<TResult>> func, Boolean write = false)
{
// 写入或完全管道模式时,才处理管道操作
if (write || FullPipeline)
{
// 管道模式直接执行
var rds = _client.Value;
if (rds == null && AutoPipeline > 0) rds = StartPipeline();
if (rds != null)
{
var rs = await func(rds);
// 命令数足够,自动提交
if (AutoPipeline > 0 && rds.PipelineCommands >= AutoPipeline)
{
StopPipeline(true);
StartPipeline();
}
return rs;
}
}
// 读操作遇到未完成管道队列时,立马执行管道操作
if (!write) StopPipeline(true);
// 统计性能
var sw = Counter?.StartCount();
var i = 0;
var delay = 100;
do
{
// 每次重试都需要重新从池里借出连接
var client = Pool.Get();
try
{
client.Reset();
return await func(client);
}
catch (InvalidDataException)
{
if (i++ >= Retry) throw;
await Task.Delay(delay);
delay *= 2;
}
catch (SocketException)
{
// 网络异常时,自动切换到其它节点
_idxServer++;
if (++i >= _servers.Length) throw;
}
finally
{
Pool.Put(client);
Counter?.StopCount(sw);
}
} while (true);
}
private readonly ThreadLocal<RedisClient> _client = new();
/// <summary>开始管道模式</summary>
public virtual RedisClient StartPipeline()
{
var rds = _client.Value;
if (rds == null)
{
rds = Pool.Get();
rds.Reset();
rds.StartPipeline();
_client.Value = rds;
}
return rds;
}
/// <summary>结束管道模式</summary>
/// <param name="requireResult">要求结果。默认true</param>
public virtual Object[] StopPipeline(Boolean requireResult = true)
{
var rds = _client.Value;
if (rds == null) return null;
_client.Value = null;
// 统计性能
var sw = Counter?.StartCount();
// 管道处理不需要重试
try
{
return rds.StopPipeline(requireResult);
}
finally
{
// 如果不需要结果,则暂停一会,有效清理残留
if (!requireResult) Thread.Sleep(10);
rds.Reset();
Pool.Put(rds);
Counter?.StopCount(sw);
}
}
/// <summary>提交变更。处理某些残留在管道里的命令</summary>
/// <returns></returns>
public override Int32 Commit()
{
var rs = StopPipeline(true);
if (rs == null) return 0;
return rs.Length;
}
#endregion
#region 子库
/// <summary>为同一服务器创建不同Db的子级库</summary>
/// <param name="db"></param>
/// <returns></returns>
public virtual Redis CreateSub(Int32 db)
{
var rds = GetType().CreateInstance() as Redis;
rds.Server = Server;
rds.Db = db;
rds.UserName = UserName;
rds.Password = Password;
rds.Encoder = Encoder;
rds.Timeout = Timeout;
rds.Retry = Retry;
rds.Tracer = Tracer;
rds.Log = Log;
return rds;
}
#endregion
#region 基础操作
/// <summary>缓存个数</summary>
public override Int32 Count => Execute(null, rds => rds.Execute<Int32>("DBSIZE"));
/// <summary>获取所有键,限制10000项,超额请使用FullRedis.Search</summary>
public override ICollection<String> Keys
{
get
{
if (Count > 10000) throw new InvalidOperationException("数量过大时,禁止获取所有键,请使用FullRedis.Search");
return Execute(null, rds => rds.Execute<String[]>("KEYS", "*"));
}
}
/// <summary>获取信息</summary>
/// <param name="all">是否获取全部信息,包括Commandstats</param>
/// <returns></returns>
public virtual IDictionary<String, String> GetInfo(Boolean all = false)
{
var rs = all ?
Execute(null, rds => rds.Execute("INFO", "all") as Packet) :
Execute(null, rds => rds.Execute("INFO") as Packet);
if (rs == null || rs.Count == 0) return null;
var inf = rs.ToStr();
return inf.SplitAsDictionary(":", "\r\n");
}
/// <summary>单个实体项</summary>
/// <param name="key">键</param>
/// <param name="value">值</param>
/// <param name="expire">过期时间,秒。小于0时采用默认缓存时间<seealso cref="Cache.Expire"/></param>
public override Boolean Set<T>(String key, T value, Int32 expire = -1)
{
if (expire < 0) expire = Expire;
var rs = "";
if (expire <= 0)
rs = Execute(key, rds => rds.Execute<String>("SET", key, value), true);
else
rs = Execute(key, rds => rds.Execute<String>("SETEX", key, expire, value), true);
if (rs == "OK") return true;
if (rs.IsNullOrEmpty()) return false;
using var span = Tracer?.NewSpan("redis:ErrorSet", new { key, value });
if (ThrowOnFailure) throw new XException("Redis.Set({0},{1})失败。{2}", key, value, rs);
return false;
}
/// <summary>获取单体</summary>
/// <param name="key">键</param>
public override T Get<T>(String key) => Execute(key, rds => rds.Execute<T>("GET", key));
/// <summary>批量移除缓存项</summary>
/// <param name="keys">键集合</param>
public override Int32 Remove(params String[] keys) => Execute(keys.FirstOrDefault(), rds => rds.Execute<Int32>("DEL", keys), true);
/// <summary>清空所有缓存项</summary>
public override void Clear() => Execute(null, rds => rds.Execute<String>("FLUSHDB"), true);
/// <summary>是否存在</summary>
/// <param name="key">键</param>
public override Boolean ContainsKey(String key) => Execute(key, rds => rds.Execute<Int32>("EXISTS", key) > 0);
/// <summary>设置缓存项有效期</summary>
/// <param name="key">键</param>
/// <param name="expire">过期时间</param>
public override Boolean SetExpire(String key, TimeSpan expire) => Execute(key, rds => rds.Execute<String>("EXPIRE", key, (Int32)expire.TotalSeconds) == "1", true);
/// <summary>获取缓存项有效期</summary>
/// <param name="key">键</param>
/// <returns></returns>
public override TimeSpan GetExpire(String key)
{
var sec = Execute(key, rds => rds.Execute<Int32>("TTL", key));
return TimeSpan.FromSeconds(sec);
}
#endregion
#region 集合操作
/// <summary>批量获取缓存项</summary>
/// <typeparam name="T"></typeparam>
/// <param name="keys"></param>
/// <returns></returns>
public override IDictionary<String, T> GetAll<T>(IEnumerable<String> keys) => Execute(keys.FirstOrDefault(), rds => rds.GetAll<T>(keys));
/// <summary>批量设置缓存项</summary>
/// <typeparam name="T"></typeparam>
/// <param name="values"></param>
/// <param name="expire">过期时间,秒。小于0时采用默认缓存时间<seealso cref="Cache.Expire"/></param>
public override void SetAll<T>(IDictionary<String, T> values, Int32 expire = -1)
{
if (values == null || values.Count == 0) return;
if (expire < 0) expire = Expire;
// 优化少量读取
if (values.Count <= 2)
{
foreach (var item in values)
{
Set(item.Key, item.Value, expire);
}
return;
}
Execute(values.FirstOrDefault().Key, rds => rds.SetAll(values), true);
// 使用管道批量设置过期时间
if (expire > 0)
{
var ts = TimeSpan.FromSeconds(expire);
StartPipeline();
try
{
foreach (var item in values)
{
SetExpire(item.Key, ts);
}
}
finally
{
StopPipeline(true);
}
}
}
/// <summary>获取哈希</summary>
/// <typeparam name="T">元素类型</typeparam>
/// <param name="key">键</param>
/// <returns></returns>
public override IDictionary<String, T> GetDictionary<T>(String key) => throw new NotSupportedException("Redis未支持该功能,需要new FullRedis");
/// <summary>获取队列</summary>
/// <typeparam name="T">元素类型</typeparam>
/// <param name="key">键</param>
/// <returns></returns>
public override IProducerConsumer<T> GetQueue<T>(String key) => throw new NotSupportedException("Redis未支持该功能,需要new FullRedis");
/// <summary>获取栈</summary>
/// <typeparam name="T">元素类型</typeparam>
/// <param name="key">键</param>
/// <returns></returns>
public override IProducerConsumer<T> GetStack<T>(String key) => throw new NotSupportedException("Redis未支持该功能,需要new FullRedis");
/// <summary>获取Set</summary>
/// <typeparam name="T"></typeparam>
/// <param name="key"></param>
/// <returns></returns>
public override ICollection<T> GetSet<T>(String key) => throw new NotSupportedException("Redis未支持该功能,需要new FullRedis");
#endregion
#region 高级操作
/// <summary>添加,已存在时不更新</summary>
/// <typeparam name="T">值类型</typeparam>
/// <param name="key">键</param>
/// <param name="value">值</param>
/// <param name="expire">过期时间,秒。小于0时采用默认缓存时间<seealso cref="Cache.Expire"/></param>
/// <returns></returns>
public override Boolean Add<T>(String key, T value, Int32 expire = -1)
{
if (expire < 0) expire = Expire;
// 没有有效期,直接使用SETNX
if (expire <= 0) return Execute(key, rds => rds.Execute<Int32>("SETNX", key, value), true) > 0;
// 带有有效期,需要判断版本是否支持
var inf = Info;
//if (inf != null && inf.TryGetValue("redis_version", out var ver) && ver.CompareTo("4.") >= 0 && ver.CompareTo("6.") < 0)
//{
// return Execute(key, rds => rds.Execute<Int32>("SETNX", key, value, expire), true) > 0;
//}
if (inf != null && inf.TryGetValue("redis_version", out var ver) && ver.CompareTo("2.6.12") >= 0)
{
//!!! 重构Redis.Add实现,早期的SETNX支持设置过期时间,后来不支持了,并且连资料都找不到了,改用2.6.12新版 SET key value EX expire NX
var result = Execute(key, rds => rds.Execute<String>("SET", key, value, "EX", expire, "NX"), true);
if (result.IsNullOrEmpty()) return false;
if (result == "OK") return true;
using var span = Tracer?.NewSpan("redis:ErrorAdd", new { key, value });
if (ThrowOnFailure) throw new XException("Redis.Add({0},{1})失败。{2}", key, value, result);
return false;
}
// 旧版本不支持SETNX带过期时间,需要分为前后两条指令
var rs = Execute(key, rds => rds.Execute<Int32>("SETNX", key, value), true);
if (rs > 0) SetExpire(key, TimeSpan.FromSeconds(expire));
return rs > 0;
}
/// <summary>设置新值并获取旧值,原子操作</summary>
/// <typeparam name="T">值类型</typeparam>
/// <param name="key">键</param>
/// <param name="value">值</param>
/// <returns></returns>
public override T Replace<T>(String key, T value) => Execute(key, rds => rds.Execute<T>("GETSET", key, value), true);
/// <summary>尝试获取指定键,返回是否包含值。有可能缓存项刚好是默认值,或者只是反序列化失败</summary>
/// <remarks>
/// 在 Redis 中,可能有key(此时TryGet返回true),但是因为反序列化失败,从而得不到value。
/// </remarks>
/// <typeparam name="T">值类型</typeparam>
/// <param name="key">键</param>
/// <param name="value">值。即使有值也不一定能够返回,可能缓存项刚好是默认值,或者只是反序列化失败</param>
/// <returns>返回是否包含值,即使反序列化失败</returns>
public override Boolean TryGetValue<T>(String key, out T value)
{
T v1 = default;
var rs1 = Execute(key, rds =>
{
var rs2 = rds.TryExecute("GET", new[] { key }, out T v2);
v1 = v2;
return rs2;
});
value = v1;
return rs1;
}
///// <summary>获取 或 添加 缓存数据,在数据不存在时执行委托请求数据</summary>
///// <typeparam name="T"></typeparam>
///// <param name="key"></param>
///// <param name="callback"></param>
///// <returns></returns>
//public override T GetOrAdd<T>(String key, Func<String, T> callback)
//{
// var value = Get<T>(key);
// if (!Equals(value, default)) return value;
// if (ContainsKey(key)) return value;
// value = callback(key);
// if (Add(key, value)) return value;
// return Get<T>(key);
//}
/// <summary>累加,原子操作</summary>
/// <param name="key">键</param>
/// <param name="value">变化量</param>
/// <returns></returns>
public override Int64 Increment(String key, Int64 value)
{
if (value == 1)
return Execute(key, rds => rds.Execute<Int64>("INCR", key), true);
else
return Execute(key, rds => rds.Execute<Int64>("INCRBY", key, value), true);
}
/// <summary>累加,原子操作,乘以100后按整数操作</summary>
/// <param name="key">键</param>
/// <param name="value">变化量</param>
/// <returns></returns>
public override Double Increment(String key, Double value) => Execute(key, rds => rds.Execute<Double>("INCRBYFLOAT", key, value), true);
/// <summary>递减,原子操作</summary>
/// <param name="key">键</param>
/// <param name="value">变化量</param>
/// <returns></returns>
public override Int64 Decrement(String key, Int64 value)
{
if (value == 1)
return Execute(key, rds => rds.Execute<Int64>("DECR", key), true);
else
return Execute(key, rds => rds.Execute<Int64>("DECRBY", key, value.ToString()), true);
}
/// <summary>递减,原子操作,乘以100后按整数操作</summary>
/// <param name="key">键</param>
/// <param name="value">变化量</param>
/// <returns></returns>
public override Double Decrement(String key, Double value) => Increment(key, -value);
#endregion
#region 性能测试
/// <summary>性能测试</summary>
/// <remarks>
/// Redis性能测试[随机],批大小[100],逻辑处理器 40 个 2,400MHz Intel(R) Xeon(R) CPU E5-2640 v4 @ 2.40GHz
/// 测试 100,000 项, 1 线程
/// 赋值 100,000 项, 1 线程,耗时 418ms 速度 239,234 ops
/// 读取 100,000 项, 1 线程,耗时 520ms 速度 192,307 ops
/// 删除 100,000 项, 1 线程,耗时 125ms 速度 800,000 ops
/// 测试 200,000 项, 2 线程
/// 赋值 200,000 项, 2 线程,耗时 548ms 速度 364,963 ops
/// 读取 200,000 项, 2 线程,耗时 549ms 速度 364,298 ops
/// 删除 200,000 项, 2 线程,耗时 315ms 速度 634,920 ops
/// 测试 400,000 项, 4 线程
/// 赋值 400,000 项, 4 线程,耗时 694ms 速度 576,368 ops
/// 读取 400,000 项, 4 线程,耗时 697ms 速度 573,888 ops
/// 删除 400,000 项, 4 线程,耗时 438ms 速度 913,242 ops
/// 测试 800,000 项, 8 线程
/// 赋值 800,000 项, 8 线程,耗时 1,206ms 速度 663,349 ops
/// 读取 800,000 项, 8 线程,耗时 1,236ms 速度 647,249 ops
/// 删除 800,000 项, 8 线程,耗时 791ms 速度 1,011,378 ops
/// 测试 4,000,000 项, 40 线程
/// 赋值 4,000,000 项, 40 线程,耗时 4,848ms 速度 825,082 ops
/// 读取 4,000,000 项, 40 线程,耗时 5,399ms 速度 740,877 ops
/// 删除 4,000,000 项, 40 线程,耗时 6,281ms 速度 636,841 ops
/// 测试 4,000,000 项, 64 线程
/// 赋值 4,000,000 项, 64 线程,耗时 6,806ms 速度 587,716 ops
/// 读取 4,000,000 项, 64 线程,耗时 5,365ms 速度 745,573 ops
/// 删除 4,000,000 项, 64 线程,耗时 6,716ms 速度 595,592 ops
/// </remarks>
/// <param name="rand">随机读写</param>
/// <param name="batch">批量操作</param>
public override Int64 Bench(Boolean rand = true, Int32 batch = 1000)
{
XTrace.WriteLine($"目标服务器:{Server}/{Db}");
//if (AutoPipeline == 0) AutoPipeline = 1000;
// 顺序操作时,打开自动管道
if (!rand && batch > 0)
{
AutoPipeline = batch;
FullPipeline = true;
}
return base.Bench(rand, batch);
}
/// <summary>使用指定线程测试指定次数</summary>
/// <param name="times">次数</param>
/// <param name="threads">线程</param>
/// <param name="rand">随机读写</param>
/// <param name="batch">批量操作</param>
public override Int64 BenchOne(Int64 times, Int32 threads, Boolean rand, Int32 batch)
{
if (!rand)
{
if (batch > 10) times *= 10;
}
else
{
if (batch > 10) times *= 10;
}
return base.BenchOne(times, threads, rand, batch);
}
/// <summary>累加测试</summary>
/// <param name="key">键</param>
/// <param name="times">次数</param>
/// <param name="threads">线程</param>
/// <param name="rand">随机读写</param>
/// <param name="batch">批量操作</param>
protected override Int64 BenchInc(String key, Int64 times, Int32 threads, Boolean rand, Int32 batch)
{
if (rand && batch > 10) times /= 10;
return base.BenchInc(key, times, threads, rand, batch);
}
#endregion
#region 日志
/// <summary>日志</summary>
public ILog Log { get; set; } = Logger.Null;
/// <summary>写日志</summary>
/// <param name="format"></param>
/// <param name="args"></param>
public void WriteLog(String format, params Object[] args) => Log?.Info(format, args);
#endregion
}
}