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[英]Linq - How to use a where clause that has a string but need to select on -1
[英]How to Use Effeciently Where Clause or Select in LINQ Parallel in Large Dataset
我有大約250,000條記錄標記為Boss,每個Boss有2到10名職員。 我每天都需要了解員工的詳細信息。 大約有1,000,000名員工。 我正在使用Linq獲取每日工作人員的唯一列表。 請考慮以下C#LINQ和模型
void Main()
{
List<Boss> BossList = new List<Boss>()
{
new Boss()
{
EmpID = 101,
Name = "Harry",
Department = "Development",
Gender = "Male",
Employees = new List<Person>()
{
new Person() {EmpID = 102, Name = "Peter", Department = "Development",Gender = "Male"},
new Person() {EmpID = 103, Name = "Emma Watson", Department = "Development",Gender = "Female"},
}
},
new Boss()
{
EmpID = 104,
Name = "Raj",
Department = "Development",
Gender = "Male",
Employees = new List<Person>()
{
new Person() {EmpID = 105, Name = "Kaliya", Department = "Development",Gender = "Male"},
new Person() {EmpID = 103, Name = "Emma Watson", Department = "Development",Gender = "Female"},
}
},
..... ~ 250,000 Records ......
};
List<Person> staffList = BossList
.SelectMany(x =>
new[] { new Person { Name = x.Name, Department = x.Department, Gender = x.Gender, EmpID = x.EmpID } }
.Concat(x.Employees))
.GroupBy(x => x.EmpID) //Group by employee ID
.Select(g => g.First()) //And select a single instance for each unique employee
.ToList();
}
public class Person
{
public int EmpID { get; set; }
public string Name { get; set; }
public string Department { get; set; }
public string Gender { get; set; }
}
public class Boss
{
public int EmpID { get; set; }
public string Name { get; set; }
public string Department { get; set; }
public string Gender { get; set; }
public List<Person> Employees { get; set; }
}
在上面的LINQ我得到了不同員工或員工名單,該列表包含超過1,000,000條記錄。 從獲得的列表中我需要搜索“Raj”
staffList.Where(m => m.Name.ToLowerInvariant().Contains("Raj".ToLowerInvariant()));
對於此操作,獲得結果需要3到5分鍾。
我怎么能讓它更有效率。 請幫助我......
如果你改變Boss
繼承Person
( public class Boss : Person
),你不僅不需要在Person
和Boss
復制你的屬性,你不必為每個Boss
創建所有新的Person
實例,因為Boss
已經是一個Person
:
IEnumerable<Person> staff = BossList
.Concat(BossList
.SelectMany(x => x.Employees)
)
.DistinctBy(p => p.EmpId)
.ToList()
其中DistinctBy
定義為
public static IEnumerable<TSource> DistinctBy<TSource, TKey>
(this IEnumerable<TSource> source, Func<TSource, TKey> keySelector)
{
var seenKeys = new HashSet<TKey>();
foreach (TSource element in source)
{
if (seenKeys.Add(keySelector(element)))
{
yield return element;
}
}
}
此外,在您的比較中,您將每個Name
轉換為小寫並進行比較 - 這是您不需要的大量字符串創建。 相反,嘗試類似的東西
staffList.Where(m => m.Name.Equals("Raj", StringComparison.InvariantCultureIgnoreCase));
此外,請注意您使用Contains
也會匹配Rajamussen
和mirajii
等名稱 - 可能不是您所期望的。
你可以將staffList更改為字典嗎? 像Dictionary和SortedList那樣更好的搜索算法可以讓你獲得最大的改進。
我已經測試了下面的代碼,它只需幾秒鍾即可運行。
private static void Main()
{
List<Boss> BossList = new List<Boss>();
var b1 = new Boss()
{
EmpID = 101,
Name = "Harry",
Department = "Development",
Gender = "Male",
Employees = new List<Person>()
{
new Person() {EmpID = 102, Name = "Peter", Department = "Development", Gender = "Male"},
new Person() {EmpID = 103, Name = "Emma Watson", Department = "Development", Gender = "Female"},
}
};
var b2 = new Boss()
{
EmpID = 104,
Name = "Raj",
Department = "Development",
Gender = "Male",
Employees = new List<Person>()
{
new Person() {EmpID = 105, Name = "Kaliya", Department = "Development", Gender = "Male"},
new Person() {EmpID = 103, Name = "Emma Watson", Department = "Development", Gender = "Female"},
}
};
Random r = new Random();
var genders = new [] {"Male", "Female"};
for (int i = 0; i < 1500000; i++)
{
b1.Employees.Add(new Person { Name = "Name" + i, Department = "Department" + i, Gender = genders[r.Next(0, 1)], EmpID = 200 + i });
b2.Employees.Add(new Person { Name = "Nam" + i, Department = "Department" + i, Gender = genders[r.Next(0, 1)], EmpID = 1000201 + i });
}
BossList.Add(b1);
BossList.Add(b2);
Stopwatch sw = new Stopwatch();
sw.Start();
var emps = BossList
.SelectMany(x =>
new[] {new Person {Name = x.Name, Department = x.Department, Gender = x.Gender, EmpID = x.EmpID}}
.Concat(x.Employees))
.GroupBy(x => x.EmpID) //Group by employee ID
.Select(g => g.First());
var staffList = emps.ToList();
var staffDict = emps.ToDictionary(p => p.Name.ToLowerInvariant() + p.EmpID);
var staffSortedList = new SortedList<string, Person>(staffDict);
Console.WriteLine("Time to load staffList = " + sw.ElapsedMilliseconds + "ms");
var rajKeyText = "Raj".ToLowerInvariant();
sw.Reset();
sw.Start();
var rajs1 = staffList.AsParallel().Where(p => p.Name.ToLowerInvariant().Contains(rajKeyText)).ToList();
Console.WriteLine("Time to find Raj = " + sw.ElapsedMilliseconds + "ms");
sw.Reset();
sw.Start();
var rajs2 = staffDict.AsParallel().Where(kvp => kvp.Key.Contains(rajKeyText)).ToList();
Console.WriteLine("Time to find Raj = " + sw.ElapsedMilliseconds + "ms");
sw.Reset();
sw.Start();
var rajs3 = staffSortedList.AsParallel().Where(kvp => kvp.Key.Contains(rajKeyText)).ToList();
Console.WriteLine("Time to find Raj = " + sw.ElapsedMilliseconds + "ms");
Console.ReadLine();
}
public class Person
{
public int EmpID { get; set; }
public string Name { get; set; }
public string Department { get; set; }
public string Gender { get; set; }
}
public class Boss
{
public int EmpID { get; set; }
public string Name { get; set; }
public string Department { get; set; }
public string Gender { get; set; }
public List<Person> Employees { get; set; }
}
}
輸出1:
Output2(在搜索上使用.AsParallel()):
換句話說,如果你不能使用一些更快的數據結構,up可以通過改變形式來加速你的搜索
staffList.Where(m => m.Name.ToLowerInvariant().Contains("Raj".ToLowerInvariant()));
至
staffList.AsParallel().Where(m => m.Name.ToLowerInvariant().Contains("Raj".ToLowerInvariant()));
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