现在用redis来做数据缓存的越来越多了,很多项目都有初始化redis数据的过程,由于初始化的数据比较大,那么该过程越快越好。这里我们以HashSet方法为例,
这里我们推荐用HashEntry[] hashFields方法传入多个fields,应为它发送的HMSET指令即批量插入数据,另一个方法发送的HSET指令。
在阅读StackExchange.Redis里面我确实没有找到pipe指令,后来发现该指令的实现是:通过CreateBatch方法实现的。源码的单元测试例子是:
using System;
using System.Collections.Generic;
using System.Threading.Tasks;
using NUnit.Framework; namespace Tests
{
[TestFixture]
public class Batches
{
[Test]
public void TestBatchNotSent()
{
using (var muxer = Config.GetUnsecuredConnection())
{
var conn = muxer.GetDatabase();
conn.KeyDeleteAsync("batch");
conn.StringSetAsync("batch", "batch-not-sent");
var tasks = new List<Task>();
var batch = conn.CreateBatch(); tasks.Add(batch.KeyDeleteAsync("batch"));
tasks.Add(batch.SetAddAsync("batch", "a"));
tasks.Add(batch.SetAddAsync("batch", "b"));
tasks.Add(batch.SetAddAsync("batch", "c")); Assert.AreEqual("batch-not-sent", (string)conn.StringGet("batch"));
}
} [Test]
public void TestBatchSent()
{
using (var muxer = Config.GetUnsecuredConnection())
{
var conn = muxer.GetDatabase();
conn.KeyDeleteAsync("batch");
conn.StringSetAsync("batch", "batch-sent");
var tasks = new List<Task>();
var batch = conn.CreateBatch();
tasks.Add(batch.KeyDeleteAsync("batch"));
tasks.Add(batch.SetAddAsync("batch", "a"));
tasks.Add(batch.SetAddAsync("batch", "b"));
tasks.Add(batch.SetAddAsync("batch", "c"));
batch.Execute(); var result = conn.SetMembersAsync("batch");
tasks.Add(result);
Task.WhenAll(tasks.ToArray()); var arr = result.Result;
Array.Sort(arr, (x, y) => string.Compare(x, y));
Assert.AreEqual(, arr.Length);
Assert.AreEqual("a", (string)arr[]);
Assert.AreEqual("b", (string)arr[]);
Assert.AreEqual("c", (string)arr[]);
}
}
}
}
var batch = conn.CreateBatch();这里的batch实际就是管道。真正的执行需要调用 batch.Execute()方法。网上也有类似的文章 redis大幅性能提升之使用管道(PipeLine)和批量(Batch)操作