我在这里苦苦挣扎。我是刚开始在mongo中进行任何复杂操作的新手。
在mongo中提供以下文档:
{ 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<string, List<string>> docs)
,其键为SharedId
,并且列表包含Tags
的列表。示例:
[
{ "K1", [ "V1", , "V3" ] },
{ "K2", [ "V2", "V3" ] }
]
我想提取以下记录:
1, 3, 5, 6
我当前的方法如下。
GetRecords(Dictionary<string, List<string>> docs)
{
var filter = Builders<Dto>.Filter.Where(d =>
!string.IsNullOrEmpty(d.SharedId) &&
docs.Keys.Contains(d.SharedId))
}
尝试用我正在使用的东西做进一步的尝试,会从mongo抛出很多错误,通常是NotSupported
等。docs[d.SharedId].Any(i => docs.Contains(i))
之类的东西使mongodriver很不高兴。
答案 0 :(得分:2)
从问题的表达方式来看,您是否想要这样的结构(显示序列化的JSON形式)还不清楚:
{ "K1": [ "V1", "V3" ], "K2": [ "V2", "V3" ] }
或者这样:
[
{ "K1": [ "V1", "V3" ] },
{ "K2": [ "V2", "V3" ] }
]
无论哪种方式,您基本上都是在迭代单个字典的键/值对,或者对于“字典列表”几乎相同。
最终结果意味着从任何一种初始形式构建这样的查询:
{
"$or" : [
{
"SharedId" : "K1",
"Tag" : { "$in" : [ "V1", "V3" ] }
},
{
"SharedId" : "K2",
"Tag" : { "$in" : [ "V2", "V3" ] }
}
]
}
执行此操作的基本方法是使用foreach
迭代并列出FilterDefinition
的列表,然后将其提供给Builders<T>.Filter.Or
具有以下代码的示例清单:
using MongoDB.Bson;
using MongoDB.Driver;
using Newtonsoft.Json;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace ConsoleApp2
{
class Program
{
static void Main(string[] args)
{
MainAsync().Wait();
}
static async Task MainAsync()
{
var client = new MongoClient();
var db = client.GetDatabase("test");
var entities = db.GetCollection<Entity>("entities");
try
{
/*
* Meaning a serialized structure like:
* { "K1": [ "V1", "V2" ], "K2": [ "V2", "V3" ] }
*/
Dictionary<string, List<string>> dict = new Dictionary<string, List<string>>
{
{ "K1", new List<string> { "V1", "V3" } },
{ "K2", new List<string> { "V2", "V3" } }
};
string output = JsonConvert.SerializeObject(dict);
Console.WriteLine(output);
/*
* Meaning a serialized structure like:
* [
* { "K1": [ "V1", "V2" ] },
* { "K2": [ "V2", "V3" ] }
* ]
*/
List<Dictionary<string, List<string>>> alt = new List<Dictionary<string, List<string>>>
{
{ new Dictionary<string, List<string>> { { "K1", new List<string> { "V1", "V3" } } } },
{ new Dictionary<string, List<string>> { { "K2", new List<string> { "V2", "V3" } } } },
};
string output2 = JsonConvert.SerializeObject(alt);
Console.WriteLine(output2);
// Build query from 'dict' form
List<FilterDefinition<Entity>> orConditions = new List<FilterDefinition<Entity>>();
foreach (KeyValuePair<string, List<string>> entry in dict)
{
orConditions.Add(
Builders<Entity>.Filter.Eq(p => p.SharedId, entry.Key) &
Builders<Entity>.Filter.Where(p => entry.Value.Contains(p.Tag))
);
};
var query1 = Builders<Entity>.Filter.Or(orConditions);
/*
* Builds -
{
"$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; }
}
}
这显示了从任一数据结构形式到同一查询的转换,并返回了预期的文档:
{"K1":["V1","V3"],"K2":["V2","V3"]}
[{"K1":["V1","V3"]},{"K2":["V2","V3"]}]
Output 1
{ "_id" : 1, "SharedId" : "K1", "Tag" : "V1" }
{ "_id" : 3, "SharedId" : "K1", "Tag" : "V3" }
{ "_id" : 5, "SharedId" : "K2", "Tag" : "V2" }
{ "_id" : 6, "SharedId" : "K2", "Tag" : "V3" }
Output 2
{ "_id" : 1, "SharedId" : "K1", "Tag" : "V1" }
{ "_id" : 3, "SharedId" : "K1", "Tag" : "V3" }
{ "_id" : 5, "SharedId" : "K2", "Tag" : "V2" }
{ "_id" : 6, "SharedId" : "K2", "Tag" : "V3" }