Detailed introduction to the basics of .NET parallelism and multi-threading learning

1. Parallel initial test:

public static void test()
        {
            for (int i = 0; i < 10000; i++)
            {
                Console.WriteLine(i);
            }
        }

        public static void test1()
        {
            for (int i = 0; i < 10000; i++)
            {
                Console.WriteLine(i + "aaaaaaaaaaaaaaa");
            }
        }

Call:

static void Main(string[] args)
        {
            Stopwatch sw = new Stopwatch();
            sw.Start();
//串行执行：
test();
test1();
//并行执行：
17Parallel.Invoke(test, test1);
19sw.Stop();
21Console.WriteLine("共耗费时间：");
23Console.WriteLine(sw.ElapsedMilliseconds / 1000+"s");
}

2. Partition parallelism:

Parallel.ForEach(Partitioner.Create(1,20,5),(x,s)=>{
                //并行代码中自定义串行,第三个参数表示item1到item2之间的范围
                Console.WriteLine(x);
                for (int i = x.Item1; i < x.Item2; i++)
                {
                    if (i == 10) break;

                    Console.WriteLine(i);
                }
                s.Break();// 非常类似普通for循环中的break
                if (s.ShouldExitCurrentIteration)
                    return;
            });

3. Exception catching: AggregateException

int[] arry = new int[10001];

            for (int i = 0; i < 10000; i++)
            {
                arry[i] = i;
            }
            try
            {

                Parallel.ForEach(arry, (x, s) =>
                {
                    Console.WriteLine(x);
                    if (sw.Elapsed.Seconds > 3)
                    {
                        throw new TimeoutException("操作超时");
                    }
                });
            }
            catch (AggregateException ex)
            {
                foreach (var item in ex.InnerExceptions)
                {
                    Console.WriteLine(item);
                }
            }

4. Specify parallel scheduling:

ParallelOptions options = new ParallelOptions();
            options.MaxDegreeOfParallelism = 1;//如果设置为1就类似于串行代码按顺序执行
            options.MaxDegreeOfParallelism =Environment.ProcessorCount;//获取计算机上面的处理器数量
            Parallel.For(1,10,options,(x) =>
            {
                Console.WriteLine(x);
            });

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