C#并行编程---PLINQ

 实列:

Console.WriteLine("Hello World!");
Console.WriteLine("当前计算机处理器数:{0}", Environment.ProcessorCount);
ConcurrentQueue<Product> products = new ConcurrentQueue<Product>();
/*向集合中添加多条数据 可以修改数据量查看Linq和Plinq的性能*/
Parallel.For(0, 60000000, (num) =>
{
products.Enqueue(new Product() { Category = "Category" + num, Name = "Name" + num, SellPrice = num });
});

/*采用LINQ查询符合条件的数据*/
Stopwatch sw = new Stopwatch();
sw.Restart();
var productListLinq = from product in products
where (product.Name.Contains("1") && product.Name.Contains("2") && product.Category.Contains("1") && product.Category.Contains("2"))
select product;
Console.WriteLine("采用Linq 查询得出数量为:{0}", productListLinq.Count());
sw.Stop();
Console.WriteLine("采用Linq 耗时:{0}", sw.ElapsedMilliseconds);

Console.WriteLine(DateTime.Now);
/*采用PLINQ查询符合条件的数据*/
sw.Restart();
var productListPLinq = from product in products.AsParallel() /*AsParallel 试图利用运行时所有可用的逻辑内核,从而使运行的速度比串行的版本要快 但是需要注意开销所带来的性能损耗*/
where (product.Name.Contains("1") && product.Name.Contains("2") && product.Category.Contains("1") && product.Category.Contains("2"))
select product;
Console.WriteLine("采用PLinq 查询得出数量为:{0}", productListPLinq.Count());
sw.Stop();
Console.WriteLine(DateTime.Now);

Console.WriteLine("采用PLinq 耗时:{0}", sw.ElapsedMilliseconds);
Console.ReadLine();

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转载自www.cnblogs.com/tianxujun/p/12294423.html