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[英]PLINQ (C#/.Net 4.5.1) vs Stream (JDK/Java 8) Performance
[英]Plinq and linq performance comparison c#
有人可以为我解释为什么PLinq在第一个例子中比普通的linq好,但在第二个例子中最差? 我看到唯一的区别是 Thread.Sleep() 在 ExpensiveComputation() function
using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.Linq;
using System.Threading;
namespace PlinqTest
{
public class Employee
{
public string Name { get; set; }
public double Salary { get; set; }
public bool ExpensiveComputation()
{
Thread.Sleep(10);
return (Salary > 2000 && Salary < 3000);
}
public bool NonExpensiveComputation()
{
return (Salary > 2000 && Salary < 3000);
}
}
class Program
{
static void Main(string[] args)
{
List<Employee> employeeList = GetData();
Stopwatch stopWatch = new Stopwatch();
// Example 1
stopWatch.Start();
var linqResult = employeeList.Where<Employee>(e => e.ExpensiveComputation());
int empCount = linqResult.Count();
stopWatch.Stop();
Console.WriteLine(string.Format("Time taken by old LINQ in Expensive Computation is {0} to get {1} Employees", stopWatch.Elapsed.TotalMilliseconds, empCount));
stopWatch.Reset();
stopWatch.Start();
linqResult = employeeList.AsParallel<Employee>().Where<Employee>(e => e.ExpensiveComputation());
empCount = linqResult.Count();
stopWatch.Stop();
Console.WriteLine(string.Format("Time taken by new PLINQ in Expensive Computation is {0} to get {1} Employees", stopWatch.Elapsed.TotalMilliseconds, empCount));
stopWatch.Reset();
Console.WriteLine();
// Example 2
stopWatch.Start();
linqResult = employeeList.Where<Employee>(e => e.NonExpensiveComputation());
empCount = linqResult.Count();
stopWatch.Stop();
Console.WriteLine(string.Format("Time taken by old LINQ in Non Expensive Computation is {0} to get {1} Employees", stopWatch.Elapsed.TotalMilliseconds, empCount));
stopWatch.Reset();
stopWatch.Start();
linqResult = employeeList.AsParallel<Employee>().Where<Employee>(e => e.NonExpensiveComputation());
empCount = linqResult.Count();
stopWatch.Stop();
Console.WriteLine(string.Format("Time taken by new PLINQ in Non Expensive Computation is {0} to get {1} Employees", stopWatch.Elapsed.TotalMilliseconds, empCount));
stopWatch.Reset();
Console.ReadKey();
}
static List<Employee> GetData()
{
List<Employee> employeeList = new List<Employee>();
Random random = new Random(1000);
for (int i = 0; i < 500; i++)
{
employeeList.Add(new Employee() { Name = "Employee" + i, Salary = GetRandomNumber(random, 1000, 5000) });
}
return employeeList;
}
static double GetRandomNumber(Random random, double minimum, double maximum)
{
return random.NextDouble() * (maximum - minimum) + minimum;
}
}
}
结果如下:
老 LINQ 在昂贵的计算中花费的时间是5458.0269以获得 135 个员工
新 PLINQ 在昂贵的计算中花费的时间是741.835来获得 135 名员工
旧 LINQ 在非昂贵计算中花费的时间是0.3653以获得 135 个员工
新 PLINQ 在非昂贵计算中花费的时间是0.9175来获得 135 名员工
并行性不是免费的,它需要额外的开销。 如果您正在做的工作量非常小,那么间接成本可能会超过您节省的时间。
我强烈推荐阅读免费的 E-Book Patterns of Parallel Programming ,它讨论了您遇到的问题并很好地解释了它们。
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