用【NEST】在C#中操作ElasticSearch

2021-03-28 11:24

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标签：host array bsp create cluster arc har nbsp pac

准备工作： VSCode开发环境，在终端控制台（Ctrl+~）输入命令 dotnet add package Nest 安装NEST包，安装好后打开项目的.csproj文件如下图。

技术分享图片

一、索引数据：

 1 using Nest;
 2 using System;
 3 
 4 namespace NetCoreFirst
 5 {
 6     public class ImportES
 7     {
 8         public static string ElasticsearchMethod()
 9         {
10             //1.通过es服务器 localhost:9200 来定义es client
11             var node = new Uri("http://localhost:9200");
12             var indexName = "esbot";
13             var settings = new ConnectionSettings(node).DefaultIndex(indexName);
14             var elastic = new ElasticClient(settings);
15             
16             //es服务器健康检查
17             var res = elastic.ClusterHealth();
18             Console.WriteLine(res.Status);
19 
20             //2.创建索引esbot
21             if (!elastic.IndexExists(indexName).Exists)
22             {
23                 var createIndexResponse = elastic.CreateIndex(indexName);
24                 var mappingBlogPost = elastic.Map(s => s.AutoMap());
25             }
26 
27             //3.构造数据
28             string[] nameArray = {"Cody", "Blake", "Dennis", "Evan ", "Harris", "Jason ", "Lambert ", "Louis ", "Milton ", "Cody" };
29             string[] skillArray = {"c#", "c++", "java", "python", "php", "Linux", "ruby", "matlab", "perl", "powershell" };
30             long[] ageRange = { 24, 25, 26, 27, 28, 29, 30, 31, 32, 33 };
31             for(int i=0; i10;i++)
32             {
33                 var resume = new Resume
34                 {
35                     Id= Guid.NewGuid(),
36                     Name=nameArray[i],
37                     Age=ageRange[i],
38                     Skills="My skill is Azure and " + skillArray[i]
39                 };
40                 //4.导入数据到索引
41                 IIndexResponse bulkIndexResponse = elastic.Index(resume, p => p.Type(typeof(Resume)).Id(i).Refresh(null));
42             }
43 
44             //5. 简单搜索
45             var searchResult = elastic.Search(sr => sr.Query(q => q.MatchAll()));
46             // System.Console.WriteLine(searchResult.Hits.Count);
47             // System.Console.ReadLine();
48             var resumesCount = searchResult.Hits.Count.ToString();
49             return resumesCount;
50         }
51     }
52 }

Resume类的定义：

 1 using Nest;
 2 using System;
 3 
 4 namespace NetCoreFirst
 5 {
 6     [ElasticsearchType(Name="candidate", IdProperty="Id")]
 7     public class Resume
 8     {
 9         [Text(Name="id", Index=false)]
10         public Guid? Id { get; set; }
11 
12         [Text(Name="name", Index=true)]
13         public string Name { get; set; }
14 
15         [Text(Name="age", Index=false)]
16         public long Age { get; set; }
17 
18         [Text(Name="skills", Index=true)]
19         public string Skills { get; set; }
20     }
21 }

View Code

二、搜索数据

 1 using Nest;
 2 using System;
 3 
 4 namespace NetCoreFirst
 5 {
 6     public class SearchES
 7     {
 8         public static string indexName="bank";
 9         public static Uri node = new Uri("http://localhost:9200");
10         public static ConnectionSettings settings = new ConnectionSettings(node).DefaultIndex(indexName);
11         public static ElasticClient elastic = new ElasticClient(settings);
12 
13         public static ISearchResponse SearchNumber()
14         {
15             string dictionaryKey = "balance";
16             var dictionary = Extension.BankDictionary();
17             var rangeField = dictionary[dictionaryKey];
18             var gt = 40000;
19             var lt = 40100;
20             var searchResponse = elastic.Search(es => es.Query(q => 
21                     q.Range(r => r.Name("").Field(rangeField).GreaterThan(gt).LessThan(lt).Boost(2.0))));
22             return searchResponse;
23         }
24 
25         public static ISearchResponse SearchString()
26         {
27             string queryStr = "";
28             var searchResponse = elastic.Search(es => es.Query(q => 
29                     q.QueryString(qs => qs.Query(queryStr))));
30             return searchResponse;
31         }
32 
33         public static ISearchResponse SearchField()
34         {
35             string queryStr = "35";
36             string dictionaryKey = "age";
37             var dictionary = Extension.BankDictionary();
38             var rangeField = dictionary[dictionaryKey];
39             var searchResponse = elastic.Search(es => es.Query(q => 
40                     q.Match(m => m.Field(rangeField).Query(queryStr))));
41             return searchResponse;
42         }
43     }
44 }

Extension类和Bank类的定义

 1     public class Extension
 2     {
 3         public static Dictionarystring, Expressionobject>>> ResumeDictionary()
 4         {
 5             return new Dictionarystring, Expressionobject>>>
 6             {
 7                 {"age", p=>p.Age},
 8                 {"name", p=>p.Name}
 9             };
10         }
11 
12         public static Dictionarystring, Expressionobject>>> BankDictionary()
13         {
14             return new Dictionarystring, Expressionobject>>>
15             {
16                 {"account_number", p => p.account_number},
17                 {"age", p => p.age},
18                 {"balance", p => p.balance}
19             };
20         }
21     }
22 
23     [ElasticsearchType(Name="account", IdProperty="Id")]
24     public class Bank
25     {
26         public long account_number {get;set;}
27         public string address { get; set; }
28         public long age { get; set; }
29         public long balance { get; set; }
30         public string city { get; set; }
31         public string email { get; set; }
32         public string employer { get; set; }
33         public string firstname { get; set; }
34         public string gender { get; set; }
35         public string lastname { get; set; }
36         public string state { get; set; }
37     }

View Code

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用【NEST】在C#中操作ElasticSearch

标签：host array bsp create cluster arc har nbsp pac

原文地址：https://www.cnblogs.com/gangle/p/9337472.html

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用【NEST】在C#中操作ElasticSearch

一、索引数据：

二、搜索数据

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* Keep learning and growing. *

*****************************

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用 【NEST】 在C#中操作ElasticSearch

一、索引数据：

二、搜索数据

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*** Keep learning and growing. ***

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用【NEST】在C#中操作ElasticSearch

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