Elasticsearch.Net使用入门教程（1）

本文实例为大家分享了Elasticsearch.Net使用教程，供大家参考，具体内容如下

首先去官网下载Elasticsearch 2.3.4安装包,解压后，在cmd命令行进入安装目录，再进入 bin目录，运行elasticsearch.bat命令。

elasticsearch插件elasticsearch-head安装：

bin目录下执行命令plugin -install mobz/elasticsearch-head

然后开始.net编程,构建控制台应用程序

Program.cs代码如下:

class Program 
 { 
  static void Main(string[] args) 
  { 
   Console.WriteLine("*Program 开始运行 : " + DateTime.Now); 
   var business = new Business(); 
 
   var swRead = new Stopwatch(); 
   //swRead.Start(); 
   //business.AddToDb();//sqlserver数据库增加数据 
   //swRead.Stop(); 
   //Console.WriteLine("DB 写入时间 : " + swRead.ElapsedMilliseconds); 
 
   //swRead.Reset(); 
   //swRead.Start(); 
   //business.AddToElasticIndex(); 
   //swRead.Stop(); 
   //Console.WriteLine("ES 写入时间 : " + swRead.ElapsedMilliseconds); 
    
   var sw = new Stopwatch(); 
   sw.Start(); 
   var personsFromDB = business.GetFromDB(); 
   sw.Stop(); 
   Console.WriteLine("DB 读时间 : " + sw.ElapsedMilliseconds); 
    
   sw.Reset(); 
   sw.Start(); 
   var personsFromEs = business.GetFromES(); 
   sw.Stop(); 
   Console.WriteLine("ES 读时间 : " + sw.ElapsedMilliseconds); 
 
   Console.ReadLine(); 
  } 
 } 

BLL层的Business.cs类:

public class Business 
 { 
  private List<PersonDetail> _personList = new List<PersonDetail>(); 
   
  //SQLSERVER数据库 
  PersonDbProvider dbProvider = new PersonDbProvider(); 
 
  //ElasticSearch 
  ESProvider esProvider = new ESProvider(); 
 
  public void AddToDb() 
  { 
   _personList = Util.Get10000PersonDetails();//辅助类,生成10000条数据 
 
   foreach (var personDetail in _personList) 
   { 
    dbProvider.AddPerson(personDetail); 
   } 
  } 
 
  public void AddToElasticIndex() 
  { 
   _personList = Util.Get10000PersonDetailsWithID(); 
   foreach (var personDetail in _personList) 
   { 
    esProvider.Index(personDetail); 
   } 
  } 
 
  public List<PersonDetail> GetFromDB() 
  { 
   return dbProvider.GetAllPersonDetails(); 
  } 
 
  public List<PersonDetail> GetFromES() 
  { 
   return esProvider.GetAll(); 
  } 
 
 } 

PersonDbProvider.cs和ElasticSearchProvider.cs以及Util.cs,Setting.cs类:

public class PersonDbProvider 
 { 
  public bool AddPerson(PersonDetail personDetail) 
  { 
   try 
   { //数据库上下文 
    using (var db = new PersonContext()) 
    { 
     db.PersonDetails.Add(personDetail); 
     db.SaveChanges(); 
     return true; 
    } 
   } 
   catch (Exception) 
   { 
    return false; 
   } 
  } 
 
  public List<PersonDetail> GetAllPersonDetails() 
  { 
   try 
   { 
    using (var db = new PersonContext()) 
    { 
     return db.PersonDetails.ToList(); 
    } 
   } 
   catch (Exception) 
   { 
    return null; 
   } 
  } 
 } 

public class ESProvider 
 { 
  public static ElasticClient client = new ElasticClient(Setting.ConnectionSettings); 
 
  public bool Index(PersonDetail person) 
  { 
   var client = new ElasticClient(Setting.ConnectionSettings); 
   try 
   { 
    //添加数据 
    //在调用下面的index方法的时候，如果没有指定使用哪个index，ElasticSearch会直接使用我们在setting中的defaultIndex，如果没有，则会自动创建 
    var index = client.Index(person); 
    return index.Created; 
   } 
   catch (Exception ex) 
   { 
    Console.WriteLine(" Excepton Message : " + ex.Message); 
   } 
   return false; 
  } 
 
 
  public List<PersonDetail> GetAll() 
  { 
   var searchResults = client.Search<PersonDetail>(s => s 
    .From(0) 
    .Size(10000) 
    ); 
   return searchResults.Documents.ToList(); 
  } 
 
  public List<PersonDetail> GetEntities(string keyword) 
  { 
   var client = new ElasticClient(Setting.ConnectionSettings); 
 
   #region 全文搜索 
 
   keyword = String.Format("*{0}*", keyword); 
   //默认的Operator是Or,当keyword是类似于"One Two"之类的中间有空格的时候，会被当成两个关键词搜索，然后搜索结果进行or运算 
   //所以我们需要根据需求来调整Operator 
   var searchResults = client.Search<PersonDetail>(s => s 
    .Index("elastic-search-app") 
    .Query(q => q.QueryString(qs => qs.Query(keyword).DefaultOperator(Operator.And))) 
    ); 
 
   //-------------------------------------------------------------------------------------- 
   //另外由于ES是分词搜索，所以当我们要用"One"来搜索完整的单词"JustOne"的时候，就必须在"One"外面添加**，类似于SQL里面的%keyword%，但是这样的做法会导致在用完整的单词来搜索的时候搜索不到结果，所以我们需要使用下面的方式 
 
   //wholeKeyword = keyword; 
   //keyword = String.Format("*{0}*", keyword); 
   //QueryContainer query = new QueryStringQuery() { Query = keyword, DefaultOperator = Operator.And }; 
   //if (!String.IsNullOrEmpty(wholeKeyword)) 
   //{ 
   // QueryContainer wholeWordQuery = new QueryStringQuery() { Query = wholeKeyword }; 
   // query = query || wholeWordQuery; 
   //} 
   //var searchResults = client.Search<Person>(s => s 
   // .Index("zhixiao-application") 
   // .Query(query) 
   //); 
 
   #endregion 
 
   #region 指定属性搜索 
 
   //使用term Query 
   //Term是一个被索引的精确值，也就是说Foo, foo, FOO是不相等的，因此 
   //在使用term query的时候要注意，term query在搜索的Field已经被索引的时候，是不支持大写的。 
   // QueryContainer query2 = new TermQuery { Field = item.Key, Value = item.Value.ToLower() }; 
   //-------------------------------------------------------------------------------------- 
   //var searchResults = client.Search<PersonDetail>(s => s 
   // .Index("elastic-search-app") 
   // .Query(q => q.Term(t => t.OnField(f => f.LastName == "keyword"))) 
   //); 
   //效果同上 
   //QueryContainer termQuery = new TermQuery { Field = "lastname", Value = "keyword" }; 
   //var searchResults = client.Search<PersonDetail>(s => s 
   // .Index("elastic-search-app") 
   // .Query(termQuery) 
   //); 
   //-------------------------------------------------------------------------------------- 
   //使用 Query String query 
   //QueryString query一般用于全文搜索，但是也可以用于单个属性的搜索（设置DefaultField属性），queryString query可以不区分大小写。QueryString还有一个好处就是我们可以搜索一个term中的一部分， 
   //例如lastname为"t Boterhuis 1"，那么我们可以用"terhuis"搜索到这个数据（虽然需要在外面包上**），在term query里面就做不到，因为ES把每一个属性的值都分析成一个个单独的term，提高了搜索的效率。 
   //keyword = "t Boterhuis 2"; 
   //QueryContainer wholeWordQuery = new QueryStringQuery() { Query = keyword, DefaultOperator = Operator.And }; 
   //var searchResults = client.Search<PersonDetail>(s => s 
   // .Index("elastic-search-app") 
   // .Query(wholeWordQuery) 
   //); 
 
   #endregion 
 
   return searchResults.Documents.ToList(); 
  } 
 
  public List<PersonDetail> Sort(string keyword) 
  { 
   // 首先我们把原先的索引先删除了 
   var response = 
    client.DeleteIndex( 
     new DeleteIndexRequest(new IndexNameMarker() 
     { 
      Name = "elastic-search-app", 
      Type = typeof(PersonDetail) 
     })); 
 
   //然后重新创建索引 
   var indexResult = client.CreateIndex("PD-application"); 
   var response1 = client.Map<PersonDetail>(m => m.MapFromAttributes()); 
   IEnumerable<PersonDetail> persons = new List<PersonDetail> 
   { 
    new PersonDetail() 
    { 
     Id = 4, 
     FirstName = "Boterhuis-040", 
     LastName = "Gusto-040", 
    }, 
    new PersonDetail() 
    { 
     Id = 5, 
     FirstName = "sales@historichousehotels.com", 
     LastName = "t Boterhuis 1", 
    }, 
    new PersonDetail() 
    { 
     Id = 6, 
     FirstName = "Aberdeen #110", 
     LastName = "sales@historichousehotels.com", 
    }, 
    new PersonDetail() 
    { 
     Id = 7, 
     FirstName = "Aberdeen #110", 
     LastName = "t Boterhuis 2", 
    }, 
   }; 
   foreach (var person in persons) 
   { 
    client.Index(person); 
   } 
   var searchResults = client.Search<PersonDetail>(s => s 
    .Index("PD-application") 
    .Sort(sort => sort.OnField(f => f.Id).Order(SortOrder.Ascending)) 
 
   ); 
   return searchResults.Documents.ToList(); 
  } 
 } 

public static class Util 
 { 
 
  //生成10000条sqlserver测试数据 
  public static List<PersonDetail> Get10000PersonDetails() 
  { 
   var personDetailsList = new List<PersonDetail>(); 
    
   for (int i = 0; i < 10000; i++) 
   { 
    personDetailsList.Add(new PersonDetail() 
    { 
     FirstName = "FN" + new Random().Next(int.MaxValue), 
     LastName = "LN" + new Random().Next(int.MaxValue) 
    }); 
   } 
   return personDetailsList; 
  } 
 
  //生成10000条ElasticSearch测试数据 
  public static List<PersonDetail> Get10000PersonDetailsWithID() 
  { 
   var personDetailsList = new List<PersonDetail>(); 
    
   for (int i = 0; i < 10000; i++) 
   { 
    personDetailsList.Add(new PersonDetail() 
    { 
     Id = i * new Random().Next(99), 
     FirstName = "FN" + new Random().Next(int.MaxValue), 
     LastName = "LN" + new Random().Next(int.MaxValue) 
    }); 
   } 
   return personDetailsList; 
  } 
 
 } 

public static class Setting 
 { 
  public static Uri Node 
  { 
   get 
   { 
    return new Uri("http://localhost:9200"); 
   } 
  } 
  //连接配置 
  public static ConnectionSettings ConnectionSettings 
  { 
   get 
   { 
    return new ConnectionSettings(Node, defaultIndex: "es-index-app"); 
   } 
  } 
 
 } 

Model层代码:

public partial class PersonDetail 
 { 
  public long Id { get; set; } 
  public string FirstName { get; set; } 
  public string LastName { get; set; } 
 } 

public partial class PersonContext : DbContext 
 { 
  static PersonContext() 
  { 
   Database.SetInitializer<PersonContext>(null); 
  } 
 
  public PersonContext() 
   : base("Name=PersonContext") 
  { 
  } 
 
  public DbSet<PersonDetail> PersonDetails { get; set; } 
 
  protected override void OnModelCreating(DbModelBuilder modelBuilder) 
  { 
   //在重写OnModelCreating方法中则可以直接调用映射类，从而减少了OnModelCreating方法的复杂度，同时也增强了代码维护的可读性 
   modelBuilder.Configurations.Add(new PersonDetailMap()); //属性映射约定 
  } 
 } 

//Fluent API配置Configuration映射类 
 public class PersonDetailMap : EntityTypeConfiguration<PersonDetail> 
 { 
  public PersonDetailMap() 
  { 
   // 主键 
   this.HasKey(t => new { t.Id, t.FirstName, t.LastName }); 
 
   // 属性 
   this.Property(t => t.Id) 
    .HasDatabaseGeneratedOption(DatabaseGeneratedOption.Identity); 
 
   this.Property(t => t.FirstName) 
    .IsRequired(); 
 
   this.Property(t => t.LastName) 
    .IsRequired(); 
 
   // 表 & 列 映射 
   this.ToTable("PersonDetails"); 
   this.Property(t => t.Id).HasColumnName("Id"); 
   this.Property(t => t.FirstName).HasColumnName("FirstName"); 
   this.Property(t => t.LastName).HasColumnName("LastName"); 
  } 
 } 

sqlserver脚本:

USE [Person] 
GO 
 
SET ANSI_NULLS ON 
GO 
 
SET QUOTED_IDENTIFIER ON 
GO 
 
CREATE TABLE [dbo].[PersonDetails]( 
 [Id] [bigint] IDENTITY(1,1) NOT NULL, 
 [FirstName] [nvarchar](max) NOT NULL, 
 [LastName] [nvarchar](max) NOT NULL 
) ON [PRIMARY] 
 
GO 

结果图:

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持易盾网络。