LINQ合并2个查询结果
LINQ merge 2 query results
数据表有 5 列
Name Class Course Month Score
Alex C1 Math 12 90
Bob C1 Chem 11 91
Alex C2 Math 11 91
Alex C1 Math 11 89
Bob C1 Chem 12 97
Alex C1 Math 10 94
Alex C2 Chem 12 92
Bob C2 Math 12 94
我想分组 (name, class) 并获取 11 月和 12 月的最高数学分数,以及最高化学分数。这是我的查询代码
DataRow[] dr1 = dt.Select("Course = 'Math' AND Month > 10");
var result_one = dr1.AsEnumerable()
.GroupBy(r => new { Name = r.Field<string>("Name"), Class = r.Field<string>("Class") })
.Select(g => new
{
Name = g.Key.Name,
Class = g.Key.Class,
Max = g.Max(r => r.Field<int>("Score")),
Max_Month = g.FirstOrDefault(gg => gg.Field<int>("Score") == g.Max(r => r.Field<int>("Score"))).Field<int>("Month"),
}
).Distinct().ToList();
DataRow[] dr2 = dt.Select("Course = 'Chem'");
var result_two = dr2.AsEnumerable()
.GroupBy(r => new { Name = r.Field<string>("Name"), Class = r.Field<string>("Class") })
.Select(g => new
{
Name = g.Key.Name,
Class = g.Key.Class,
Max = g.Max(r => r.Field<int>("Score")),
Max_Month = g.FirstOrDefault(gg => gg.Field<int>("Score") == g.Max(r => r.Field<int>("Score"))).Field<int>("Month"),
}
).Distinct().ToList();
我可以这样输出这 2 个查询结果:
Name Class Math_Max_Month Math_Max
Alex C1 12 90
Alex C2 11 91
Bob C2 12 94
Name Class Chem_Max_Month Chem_Max
Bob C1 12 97
Alex C2 12 92
但是我怎样才能将这 2 个结果合并为 1 个输出,如下所示:
Name Class Math_Max_Month Math_Max Chem_Max_Month Chem_Max
Alex C1 12 90 null null
Alex C2 11 91 12 92
Bob C1 null null 12 97
Bob C2 12 94 null null
我试过使用 result_one.Concat(result_two)
和 result_one.Union(result_two)
,但两者都不正确。
好吧,你的例子看起来有点复杂。所以我会在 int[]
而不是 DataRow[]
上给你答案
int[] first = new int[] { 3, 5, 6, 9, 12, 14, 18, 20, 25, 28 };
int[] second = new int[] { 30, 32, 34, 36, 38, 40, 42, 44, 46, 48 };
int[] result = first
.Concat(second)
.OrderBy(x => x)
.ToArray();
输出将是
// 3, 5, 6, 9, 12, 14, 18, 20, 25, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48
Console.Write(String.Join(", ", result));
理论上这应该适用于您的情况,感觉我们只处理数组。
这非常适合您的代码。,
DataRow[] dr1 = dtt.Select("Course = 'Math' AND Month > 10");
var result_one = dr1.AsEnumerable()
.GroupBy(r => new { Name = r.Field<string>("Name"), Class = r.Field<string>("Class") })
.Select(g => new
{
Name = g.Key.Name,
Class = g.Key.Class,
Max = g.Max(r => r.Field<int>("Score")),
Max_Month = g.FirstOrDefault(gg => gg.Field<int>("Score") == g.Max(r => r.Field<int>("Score"))).Field<int>("Month"),
}
).Distinct().ToList();
DataRow[] dr2 = dtt.Select("Course = 'Chem'");
var result_two = dr2.AsEnumerable()
.GroupBy(r => new { Name = r.Field<string>("Name"), Class = r.Field<string>("Class") })
.Select(g => new
{
Name = g.Key.Name,
Class = g.Key.Class,
Chem_Max = g.Max(r => r.Field<int>("Score")),
Chem_Max_Month = g.FirstOrDefault(gg => gg.Field<int>("Score") == g.Max(r => r.Field<int>("Score"))).Field<int>("Month"),
}
).Distinct().ToList();
左加入...
var lstLeftJoin = (from a in result_one
join b in result_two
on new { a.Name, a.Class } equals new { b.Name, b.Class }
into gj
from subpet in gj.DefaultIfEmpty()
select new { a.Name, a.Class, Math_Max_Month = a.Max_Month, Math_Max = a.Max, Chem_Max_Month = (subpet == null ? 0 : subpet.Chem_Max_Month), Chem_Max = (subpet == null ? 0 : subpet.Chem_Max) }).ToList();
正确加入...
var lstRightJoin = (from a in result_two
join b in result_one
on new { a.Name, a.Class } equals new { b.Name, b.Class }
into gj
from subpet in gj.DefaultIfEmpty()
select new { a.Name, a.Class, Math_Max_Month = (subpet == null ? 0 : subpet.Max_Month), Math_Max = (subpet == null ? 0 : subpet.Max), a.Chem_Max_Month, a.Chem_Max }).ToList();
终于联盟...
var lstUnion = lstLeftJoin.Select(s => new { Name = s.Name, Class = s.Class, Math_Max_Month = s.Math_Max_Month, Math_Max = s.Math_Max, Chem_Max_Month = s.Chem_Max_Month, Chem_Max = s.Chem_Max }).Union(lstRightJoin.Select(s => new { Name = s.Name, Class = s.Class, Math_Max_Month = s.Math_Max_Month, Math_Max = s.Math_Max, Chem_Max_Month = s.Chem_Max_Month, Chem_Max = s.Chem_Max })).OrderBy(o => o.Name).ThenBy(c => c.Class).ToList();
结果
Name Class Math_Max_Month Math_Max Chem_Max_Month Chem_Max
Alex C1 12 90 null null
Alex C2 11 91 12 92
Bob C1 null null 12 97
Bob C2 12 94 null null
数据表有 5 列
Name Class Course Month Score
Alex C1 Math 12 90
Bob C1 Chem 11 91
Alex C2 Math 11 91
Alex C1 Math 11 89
Bob C1 Chem 12 97
Alex C1 Math 10 94
Alex C2 Chem 12 92
Bob C2 Math 12 94
我想分组 (name, class) 并获取 11 月和 12 月的最高数学分数,以及最高化学分数。这是我的查询代码
DataRow[] dr1 = dt.Select("Course = 'Math' AND Month > 10");
var result_one = dr1.AsEnumerable()
.GroupBy(r => new { Name = r.Field<string>("Name"), Class = r.Field<string>("Class") })
.Select(g => new
{
Name = g.Key.Name,
Class = g.Key.Class,
Max = g.Max(r => r.Field<int>("Score")),
Max_Month = g.FirstOrDefault(gg => gg.Field<int>("Score") == g.Max(r => r.Field<int>("Score"))).Field<int>("Month"),
}
).Distinct().ToList();
DataRow[] dr2 = dt.Select("Course = 'Chem'");
var result_two = dr2.AsEnumerable()
.GroupBy(r => new { Name = r.Field<string>("Name"), Class = r.Field<string>("Class") })
.Select(g => new
{
Name = g.Key.Name,
Class = g.Key.Class,
Max = g.Max(r => r.Field<int>("Score")),
Max_Month = g.FirstOrDefault(gg => gg.Field<int>("Score") == g.Max(r => r.Field<int>("Score"))).Field<int>("Month"),
}
).Distinct().ToList();
我可以这样输出这 2 个查询结果:
Name Class Math_Max_Month Math_Max
Alex C1 12 90
Alex C2 11 91
Bob C2 12 94
Name Class Chem_Max_Month Chem_Max
Bob C1 12 97
Alex C2 12 92
但是我怎样才能将这 2 个结果合并为 1 个输出,如下所示:
Name Class Math_Max_Month Math_Max Chem_Max_Month Chem_Max
Alex C1 12 90 null null
Alex C2 11 91 12 92
Bob C1 null null 12 97
Bob C2 12 94 null null
我试过使用 result_one.Concat(result_two)
和 result_one.Union(result_two)
,但两者都不正确。
好吧,你的例子看起来有点复杂。所以我会在 int[]
而不是 DataRow[]
int[] first = new int[] { 3, 5, 6, 9, 12, 14, 18, 20, 25, 28 };
int[] second = new int[] { 30, 32, 34, 36, 38, 40, 42, 44, 46, 48 };
int[] result = first
.Concat(second)
.OrderBy(x => x)
.ToArray();
输出将是
// 3, 5, 6, 9, 12, 14, 18, 20, 25, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48
Console.Write(String.Join(", ", result));
理论上这应该适用于您的情况,感觉我们只处理数组。
这非常适合您的代码。,
DataRow[] dr1 = dtt.Select("Course = 'Math' AND Month > 10");
var result_one = dr1.AsEnumerable()
.GroupBy(r => new { Name = r.Field<string>("Name"), Class = r.Field<string>("Class") })
.Select(g => new
{
Name = g.Key.Name,
Class = g.Key.Class,
Max = g.Max(r => r.Field<int>("Score")),
Max_Month = g.FirstOrDefault(gg => gg.Field<int>("Score") == g.Max(r => r.Field<int>("Score"))).Field<int>("Month"),
}
).Distinct().ToList();
DataRow[] dr2 = dtt.Select("Course = 'Chem'");
var result_two = dr2.AsEnumerable()
.GroupBy(r => new { Name = r.Field<string>("Name"), Class = r.Field<string>("Class") })
.Select(g => new
{
Name = g.Key.Name,
Class = g.Key.Class,
Chem_Max = g.Max(r => r.Field<int>("Score")),
Chem_Max_Month = g.FirstOrDefault(gg => gg.Field<int>("Score") == g.Max(r => r.Field<int>("Score"))).Field<int>("Month"),
}
).Distinct().ToList();
左加入...
var lstLeftJoin = (from a in result_one
join b in result_two
on new { a.Name, a.Class } equals new { b.Name, b.Class }
into gj
from subpet in gj.DefaultIfEmpty()
select new { a.Name, a.Class, Math_Max_Month = a.Max_Month, Math_Max = a.Max, Chem_Max_Month = (subpet == null ? 0 : subpet.Chem_Max_Month), Chem_Max = (subpet == null ? 0 : subpet.Chem_Max) }).ToList();
正确加入...
var lstRightJoin = (from a in result_two
join b in result_one
on new { a.Name, a.Class } equals new { b.Name, b.Class }
into gj
from subpet in gj.DefaultIfEmpty()
select new { a.Name, a.Class, Math_Max_Month = (subpet == null ? 0 : subpet.Max_Month), Math_Max = (subpet == null ? 0 : subpet.Max), a.Chem_Max_Month, a.Chem_Max }).ToList();
终于联盟...
var lstUnion = lstLeftJoin.Select(s => new { Name = s.Name, Class = s.Class, Math_Max_Month = s.Math_Max_Month, Math_Max = s.Math_Max, Chem_Max_Month = s.Chem_Max_Month, Chem_Max = s.Chem_Max }).Union(lstRightJoin.Select(s => new { Name = s.Name, Class = s.Class, Math_Max_Month = s.Math_Max_Month, Math_Max = s.Math_Max, Chem_Max_Month = s.Chem_Max_Month, Chem_Max = s.Chem_Max })).OrderBy(o => o.Name).ThenBy(c => c.Class).ToList();
结果
Name Class Math_Max_Month Math_Max Chem_Max_Month Chem_Max
Alex C1 12 90 null null
Alex C2 11 91 12 92
Bob C1 null null 12 97
Bob C2 12 94 null null