c# – 构建linq查询以获得最快性能的正确方法？

其他人说使用double .Tolist()会导致操作变慢,当我测试它时,它表明它比任何其他测试都快.

测试：

Preparation
---------------------------------------------------------------
return Properties of UserInfo(userinf,true){
    UserID = userinf.UserID;
    FirstName = userinf.user.FirstName;
    MiddleName = userinf.user.MiddleName;
    LastName = userinf.user.LastName;
    LoginID = userinf.user.LoginID;
    Birthday = userinf.Birthday;
}

skip = 0;
take = 100;

total table records = 304;

Linq to Entity Framework

提琴手：v2.4.0.0

https://127.0.0.1/..../RetrieveUserInfo?skip=0&take=100
{
    "client":{
        "SessionID":"5433ab64-7e0d-444f-b886-a901ea9a0601"
    },"session":{
        "SessionID":"35b75daa-25ad-45a4-9f99-0e69ec3b66a4"
    }
}

//Test 1
//1) 00:00:15.3068755 -- Attempt1
//2) 00:00:13.8207905 -- Attempt2
//3) 00:00:16.2489294 -- Attempt3

var list = (from usr in dbase.userinfoes
            select usr).OrderBy(i => i.UserID).Skip(skip).Take(take).ToList();

userlist = (from i in list
            select new UserInfo(i,true)).ToList();


///Test 2
//1) 00:00:15.3908803
//2) 00:00:14.8818512
//3) 00:00:19.4761140

var list = (from usr in dbase.userinfoes.AsEnumerable().OrderBy(i => i.UserID).Skip(skip).Take(take).ToList()
            select new UserInfo(usr,true)).ToList();


//Test 3
//1) 00:00:30.1937270
//2) 00:00:24.1003784
//3) 00:00:28.8806519

var list = dbase.userinfoes.OrderBy(i => i.UserID).Skip(skip).Take(take).ToList();
userlist = (from i in list select new UserInfo(i,true)).ToList();


//Test 4
//1) 00:00:57.2652754
//2) 00:00:54.4051118
//3) 00:00:55.3251644

var list = (from usr in dbase.userinfoes
            select usr).ToList();

userlist = (from i in list
            select new UserInfo(i,true)).OrderBy(i => i.UserID).Skip(skip).Take(take).ToList();


//Test 5
//1) 00:01:06.8378229
//2) 00:01:01.2845053
//3) 00:00:55.0721499

var list = from usr in dbase.userinfoes
           select usr;

userlist = (from i in list.AsEnumerable()
            select new UserInfo(i,true)).OrderBy(i => i.UserID).Skip(skip).Take(take).ToList();


// Test 6
// VERY LONG. It tooks all records first and construct UserInfo one by one before doing the skip and take

var list = (from usr in dbase.userinfoes.AsEnumerable()
            select new UserInfo(usr,true)).OrderBy(i => i.UserID).Skip(skip).Take(take).ToList();


//Test 7
// VERY LONG. It tooks all records first and construct UserInfo one by one before doing the skip and take

var list = from usr in dbase.userinfoes.AsEnumerable()
           select new UserInfo(usr);

适合快速搜索的代码.感谢casperOne指出,在服务器上执行的排序,跳过和取得更快.

这是最终的代码：

var list = (from usr in dbase.userinfoes
                .OrderBy(i => i.UserID)
                .Skip(skip)
                .Take(take)
                .AsEnumerable()
            select new UserInfo(usr,true)).ToList();   

1) 00:00:10.9210513
2) 00:00:10.8270973
3) 00:00:10.8250151

感谢Richard Neil Ilagan的最终代码.