C#并行计算 Parallel.ForEach[通俗易懂]

/// <summary>  
/// 获取订单链接  
/// </summary>  
public void GetOrders() {  
    GetToken();  
    HttpHelper http = new HttpHelper();  
    HttpItem item = new HttpItem();  
    item.URL = "https://merchant-api.jet.com/api/orders/{status}".Replace("{status}", "acknowledged");  
    item.Method = "get";  
    item.ResultCookieType = ResultCookieType.CookieCollection;  
    item.ContentType = "application/json";  
    item.Header.Add("Authorization", string.Format("bearer {0}", Token.id_token));  
    item.Header.Add("Accept-Encoding", "gzip, deflate");  
    item.PostEncoding = System.Text.Encoding.UTF8;  
    item.UserAgent = "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; Trident/4.0; EmbeddedWB 14.52 from: http://www.bsalsa.com/ EmbeddedWB 14.52; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; InfoPath.2; .NET4.0C; .NET4.0E; Tablet PC 2.0; TCO_20150304085044)";  
    item.KeepAlive = false;  
    item.Header.Add("Cache-Control", "no-cache");  
    HttpResult result = http.GetHtml(item);  
    OrdersUrl UrlInfo=result.Html.Str2Entity<OrdersUrl>();  
    //创建一个订单任务并发集合  
    ConcurrentQueue<OrderInfo> Queue = new ConcurrentQueue<OrderInfo>();  
    //并行计算 数据分区 均匀分布到各个内核  
    Parallel.ForEach(Partitioner.Create<string>(UrlInfo.Urls,true),url=> {  
        OrderInfo Order = GetOrderDetail(url);  
        Queue.Enqueue(Order);  
    });  
    Parallel.ForEach(Partitioner.Create<OrderInfo>(Queue.ToArray(),true),order=> {  
        SaveOrder(order);  
    });  
}