C# 使用字典生成$或查询<;字符串,列表<;字符串>&燃气轮机;
我在这里挣扎。我对在mongo做任何稍微复杂的事情都是新手 在mongo中提供以下文件:C# 使用字典生成$或查询<;字符串,列表<;字符串>&燃气轮机;,c#,mongodb,linq,mongodb-query,C#,Mongodb,Linq,Mongodb Query,我在这里挣扎。我对在mongo做任何稍微复杂的事情都是新手 在mongo中提供以下文件: { Id = 1, SharedId = "K1", Tag = "V1" } { Id = 2, SharedId = "K1", Tag = "V2" } { Id = 3, SharedId = "K1", Tag = "V3" } { Id = 4, SharedId = "K2", Tag = "V1" } { Id = 5, SharedId = "K2", Tag = "V2" } { Id
{ Id = 1, SharedId = "K1", Tag = "V1" }
{ Id = 2, SharedId = "K1", Tag = "V2" }
{ Id = 3, SharedId = "K1", Tag = "V3" }
{ Id = 4, SharedId = "K2", Tag = "V1" }
{ Id = 5, SharedId = "K2", Tag = "V2" }
{ Id = 6, SharedId = "K2", Tag = "V3" }
我有一个方法GetRecords(Dictionary docs)
,该方法的键是SharedId
,该列表包含标记的列表。例如:
[
{ "K1", [ "V1", , "V3" ] },
{ "K2", [ "V2", "V3" ] }
]
我想摘录以下记录:
1, 3, 5, 6
我当前的方法是这样的
GetRecords(Dictionary<string, List<string>> docs)
{
var filter = Builders<Dto>.Filter.Where(d =>
!string.IsNullOrEmpty(d.SharedId) &&
docs.Keys.Contains(d.SharedId))
}
GetRecords(字典文档)
{
var filter=Builders.filter.Where(d=>
!string.IsNullOrEmpty(d.SharedId)&&
docs.key.Contains(d.SharedId))
}
如果我试图用我正在使用的东西做得更进一步,mongo会抛出许多错误,通常是不受支持的等等。类似于文档[d.SharedId]。任何(I=>docs.Contains(I))
都会让mongodriver非常不安。如果你指的是这样的结构,从你问题中的符号来看有点不清楚(显示序列化JSON表单):
或者像这样:
[
{ "K1": [ "V1", "V3" ] },
{ "K2": [ "V2", "V3" ] }
]
using MongoDB.Bson;
using MongoDB.Driver;
using Newtonsoft.Json;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace ConsoleApp2
{
class Program
{
static void Main(string[] args)
{
MainAsync().Wait();
}
static async Task MainAsync()
{
var client = new MongoClient();
var db = client.GetDatabase("test");
var entities = db.GetCollection<Entity>("entities");
try
{
/*
* Meaning a serialized structure like:
* { "K1": [ "V1", "V2" ], "K2": [ "V2", "V3" ] }
*/
Dictionary<string, List<string>> dict = new Dictionary<string, List<string>>
{
{ "K1", new List<string> { "V1", "V3" } },
{ "K2", new List<string> { "V2", "V3" } }
};
string output = JsonConvert.SerializeObject(dict);
Console.WriteLine(output);
/*
* Meaning a serialized structure like:
* [
* { "K1": [ "V1", "V2" ] },
* { "K2": [ "V2", "V3" ] }
* ]
*/
List<Dictionary<string, List<string>>> alt = new List<Dictionary<string, List<string>>>
{
{ new Dictionary<string, List<string>> { { "K1", new List<string> { "V1", "V3" } } } },
{ new Dictionary<string, List<string>> { { "K2", new List<string> { "V2", "V3" } } } },
};
string output2 = JsonConvert.SerializeObject(alt);
Console.WriteLine(output2);
// Build query from 'dict' form
List<FilterDefinition<Entity>> orConditions = new List<FilterDefinition<Entity>>();
foreach (KeyValuePair<string, List<string>> entry in dict)
{
orConditions.Add(
Builders<Entity>.Filter.Eq(p => p.SharedId, entry.Key) &
Builders<Entity>.Filter.Where(p => entry.Value.Contains(p.Tag))
);
};
var query1 = Builders<Entity>.Filter.Or(orConditions);
/*
* Builds -
{
"$or" : [
{
"SharedId" : "K1",
"Tag" : { "$in" : [ "V1", "V3" ] }
},
{
"SharedId" : "K2",
"Tag" : { "$in" : [ "V2", "V3" ] }
}
]
}
*/
Console.WriteLine("Output 1");
var cursor1 = await entities.Find(query1).ToListAsync();
foreach (var doc in cursor1)
{
Console.WriteLine(doc.ToBsonDocument());
}
// Build the query from 'alt' form
orConditions = new List<FilterDefinition<Entity>>(); // clear the list
foreach(var item in alt)
{
foreach(KeyValuePair<string,List<string>> entry in item)
{
orConditions.Add(
Builders<Entity>.Filter.Eq(p => p.SharedId, entry.Key) &
Builders<Entity>.Filter.Where(p => entry.Value.Contains(p.Tag))
);
}
}
var query2 = Builders<Entity>.Filter.Or(orConditions);
/* Serializes just the same */
Console.WriteLine("Output 2");
var cursor2 = await entities.Find(query2).ToListAsync();
foreach (var doc in cursor2)
{
Console.WriteLine(doc.ToBsonDocument());
}
}
catch (Exception ex)
{
Console.WriteLine(ex);
}
}
}
public class Entity
{
public int id;
public string SharedId { get; set; }
public string Tag { get; set; }
}
}
无论哪种方式,基本上都是迭代单数字典的键/值对,或者对“字典列表”进行几乎相同的迭代
最终结果意味着从以下任一初始形式构造一个如下查询:
{
"$or" : [
{
"SharedId" : "K1",
"Tag" : { "$in" : [ "V1", "V3" ] }
},
{
"SharedId" : "K2",
"Tag" : { "$in" : [ "V2", "V3" ] }
}
]
}
实现这一点的基本方法是使用foreach
迭代并创建FilterDefinition
列表,然后将其提供给Builders.Filter.Or
示例清单包含如下代码:
[
{ "K1": [ "V1", "V3" ] },
{ "K2": [ "V2", "V3" ] }
]
using MongoDB.Bson;
using MongoDB.Driver;
using Newtonsoft.Json;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace ConsoleApp2
{
class Program
{
static void Main(string[] args)
{
MainAsync().Wait();
}
static async Task MainAsync()
{
var client = new MongoClient();
var db = client.GetDatabase("test");
var entities = db.GetCollection<Entity>("entities");
try
{
/*
* Meaning a serialized structure like:
* { "K1": [ "V1", "V2" ], "K2": [ "V2", "V3" ] }
*/
Dictionary<string, List<string>> dict = new Dictionary<string, List<string>>
{
{ "K1", new List<string> { "V1", "V3" } },
{ "K2", new List<string> { "V2", "V3" } }
};
string output = JsonConvert.SerializeObject(dict);
Console.WriteLine(output);
/*
* Meaning a serialized structure like:
* [
* { "K1": [ "V1", "V2" ] },
* { "K2": [ "V2", "V3" ] }
* ]
*/
List<Dictionary<string, List<string>>> alt = new List<Dictionary<string, List<string>>>
{
{ new Dictionary<string, List<string>> { { "K1", new List<string> { "V1", "V3" } } } },
{ new Dictionary<string, List<string>> { { "K2", new List<string> { "V2", "V3" } } } },
};
string output2 = JsonConvert.SerializeObject(alt);
Console.WriteLine(output2);
// Build query from 'dict' form
List<FilterDefinition<Entity>> orConditions = new List<FilterDefinition<Entity>>();
foreach (KeyValuePair<string, List<string>> entry in dict)
{
orConditions.Add(
Builders<Entity>.Filter.Eq(p => p.SharedId, entry.Key) &
Builders<Entity>.Filter.Where(p => entry.Value.Contains(p.Tag))
);
};
var query1 = Builders<Entity>.Filter.Or(orConditions);
/*
* Builds -
{
"$or" : [
{
"SharedId" : "K1",
"Tag" : { "$in" : [ "V1", "V3" ] }
},
{
"SharedId" : "K2",
"Tag" : { "$in" : [ "V2", "V3" ] }
}
]
}
*/
Console.WriteLine("Output 1");
var cursor1 = await entities.Find(query1).ToListAsync();
foreach (var doc in cursor1)
{
Console.WriteLine(doc.ToBsonDocument());
}
// Build the query from 'alt' form
orConditions = new List<FilterDefinition<Entity>>(); // clear the list
foreach(var item in alt)
{
foreach(KeyValuePair<string,List<string>> entry in item)
{
orConditions.Add(
Builders<Entity>.Filter.Eq(p => p.SharedId, entry.Key) &
Builders<Entity>.Filter.Where(p => entry.Value.Contains(p.Tag))
);
}
}
var query2 = Builders<Entity>.Filter.Or(orConditions);
/* Serializes just the same */
Console.WriteLine("Output 2");
var cursor2 = await entities.Find(query2).ToListAsync();
foreach (var doc in cursor2)
{
Console.WriteLine(doc.ToBsonDocument());
}
}
catch (Exception ex)
{
Console.WriteLine(ex);
}
}
}
public class Entity
{
public int id;
public string SharedId { get; set; }
public string Tag { get; set; }
}
}
alt表单不是我需要的东西,很抱歉让它变得不清楚。如果我想返回相反的结果呢?因此,我不想返回1、3、5和6
,而是希望查询返回不匹配的内容,所以文档2和4
?它只是在哪里(p=>!entry.Value.Contains(p.Tag))
?