ElasticSearch第五步-.net平台下c#操作ElasticSearch详解

ElasticSearch系列学习

ElasticSearch第一步-环境配置

ElasticSearch第二步-CRUD之Sense 

ElasticSearch第三步-中文分词

ElasticSearch第四步-查询详解

ElasticSearch第五步-.net平台下c#操作ElasticSearch详解

  

前面我们讲解了关于ElasticSearch的安装配置，以及CRUD

本章我将讲解怎么使用c#操作ElasticSearch。

首先你需要一定的技术储备，比如：asp.net webapi，mvc,jsonp,knockout。这些知识在这里不再讲解，请自行Google。

项目DEMO介绍

搜索和索引功能我是以服务(webapi项目)方式提供的，在客户端(mvc项目)中的view视图中，直接使用ajax(jsonp格式)方式调用webapi，然后使用knockout绑定到table上的。

项目结构如图：

 

引入驱动

工欲善其事必先利其器，首先我们需要在Supernova.Webapi层中引入操作ElasticSearch的驱动dll PlainElastic.Net。

如图：

 

封装操作ElasticSearch的ElasticSearchHelper

public class ElasticSearchHelper
    {
        public static readonly ElasticSearchHelper Intance = new ElasticSearchHelper();
        private ElasticConnection Client;
        private ElasticSearchHelper()
        {

            var node = new Uri("http://localhost:9200");

            Client = new ElasticConnection("localhost", 9200);



        }
        /// <summary>
        /// 数据索引
        /// </summary>       
        /// <param name="indexName">索引名称</param>
        /// <param name="indexType">索引类型</param>
        /// <param name="id">索引文档id，不能重复,如果重复则覆盖原先的</param>
        /// <param name="jsonDocument">要索引的文档,json格式</param>
        /// <returns></returns>
        public IndexResult Index(string indexName, string indexType, string id, string jsonDocument)
        {
            
            var serializer = new JsonNetSerializer();
            string cmd = new IndexCommand(indexName, indexType, id);
            OperationResult result = Client.Put(cmd, jsonDocument);

            var indexResult = serializer.ToIndexResult(result.Result);
            return indexResult;
        }
        public IndexResult Index(string indexName, string indexType, string id, object document)
        {
            var serializer = new JsonNetSerializer();
            var jsonDocument = serializer.Serialize(document);
            return Index(indexName, indexType, id, jsonDocument);
        }

        //全文检索，单个字段或者多字段 或关系
        //字段intro 包含词组key中的任意一个单词
        //
        public personList Search<person>(string indexName, string indexType, string key,int from ,int size)
        {
            string cmd = new SearchCommand(indexName, indexType);
            string query = new QueryBuilder<person>()
                //1 查询
                .Query(b =>
                            b.Bool(m =>
                                //并且关系
                                m.Must(t =>

                                    //分词的最小单位或关系查询
                                   t.QueryString(t1=>t1.DefaultField("intro").Query(key))
                                   //.QueryString(t1 => t1.DefaultField("name").Query(key))
                                   // t .Terms(t2=>t2.Field("intro").Values("研究","方鸿渐"))
                                   //范围查询
                                    // .Range(r =>  r.Field("age").From("100").To("200") )  
                                     )
                                  )
                                )
                  //分页
                 .From(from)
                 .Size(size)
                 //排序
                // .Sort(c => c.Field("age", SortDirection.desc))
                  //添加高亮
                  .Highlight(h => h
                      .PreTags("<b>")
                      .PostTags("</b>")
                      .Fields(
                             f => f.FieldName("intro").Order(HighlightOrder.score),
                             f => f.FieldName("_all")
                             )
                     )
                    .Build();


            string result = Client.Post(cmd, query);
            var serializer = new JsonNetSerializer();
            var list = serializer.ToSearchResult<Supernova.Webapi.DbHelper.person>(result);
            personList datalist = new personList();
            datalist.hits = list.hits.total;
            datalist.took = list.took;
             var personList= list.hits.hits.Select(c => new Supernova.Webapi.DbHelper.person() {
                 id=c._source.id, 
                 age=c._source.age,
                 birthday =c._source.birthday, 
                 intro=string.Join("",c.highlight["intro"]), //高亮显示的内容，一条记录中出现了几次
                 name=c._source.name,
                 sex=c._source.sex,
                 
             });
             datalist.list.AddRange(personList);
             return  datalist;


        }

        //全文检索，多字段 并关系
        //字段intro 或者name 包含词组key
        public personList SearchFullFileds<person>(string indexName, string indexType, string key, int from, int size)
        {
            MustQuery<person> mustNameQueryKeys = new MustQuery<person>();
            MustQuery<person> mustIntroQueryKeys = new MustQuery<person>();
            var arrKeys = GetIKTokenFromStr(key);
            foreach (var item in arrKeys)
            {
                mustNameQueryKeys = mustNameQueryKeys.Term(t3 => t3.Field("name").Value(item)) as MustQuery<person>;
                mustIntroQueryKeys = mustIntroQueryKeys.Term(t3 => t3.Field("intro").Value(item)) as MustQuery<person>;
            }
            
            string cmd = new SearchCommand(indexName, indexType);
            string query = new QueryBuilder<person>()
                //1 查询
                .Query(b =>
                            b.Bool(m =>
                                m.Should(t =>  
                                         t.Bool(m1 =>
                                                     m1.Must(
                                                             t2 =>
                                                                 //t2.Term(t3=>t3.Field("name").Value("研究"))
                                                                 //   .Term(t3=>t3.Field("name").Value("方鸿渐"))  
                                                                 mustNameQueryKeys
                                                             )
                                                )
                                       )
                               .Should(t =>
                                         t.Bool(m1 =>
                                                     m1.Must(t2 => 
                                                                     //t2.Term(t3 => t3.Field("intro").Value("研究"))
                                                                     //.Term(t3 => t3.Field("intro").Value("方鸿渐"))  
                                                                     mustIntroQueryKeys
                                                            )
                                                )
                                      )
                                  )
                        )
                //分页
                 .From(from)
                 .Size(size)
                //排序
                // .Sort(c => c.Field("age", SortDirection.desc))
                //添加高亮
                  .Highlight(h => h
                      .PreTags("<b>")
                      .PostTags("</b>")
                      .Fields(
                             f => f.FieldName("intro").Order(HighlightOrder.score),
                              f => f.FieldName("name").Order(HighlightOrder.score)
                             )
                     )
                    .Build();


            string result = Client.Post(cmd, query);
            var serializer = new JsonNetSerializer();
            var list = serializer.ToSearchResult<Supernova.Webapi.DbHelper.person>(result);
            personList datalist = new personList();
            datalist.hits = list.hits.total;
            datalist.took = list.took;
            var personList = list.hits.hits.Select(c => new Supernova.Webapi.DbHelper.person()
            {
                id = c._source.id,
                age = c._source.age,
                birthday = c._source.birthday,
                intro = c.highlight==null||!c.highlight.Keys.Contains("intro") ? c._source.intro : string.Join("", c.highlight["intro"]), //高亮显示的内容，一条记录中出现了几次
                name = c.highlight==null||!c.highlight.Keys.Contains("name") ? c._source.name : string.Join("", c.highlight["name"]),
                sex = c._source.sex

            });
            datalist.list.AddRange(personList);
            return datalist;


        }

        //全文检索，多字段 并关系
        //搜索age在100到200之间，并且字段intro 或者name 包含词组key
        public personList SearchFullFiledss<person>(string indexName, string indexType, string key, int from, int size)
        {
            MustQuery<person> mustNameQueryKeys = new MustQuery<person>();
            MustQuery<person> mustIntroQueryKeys = new MustQuery<person>();
            var arrKeys = GetIKTokenFromStr(key);
            foreach (var item in arrKeys)
            {
                mustNameQueryKeys = mustNameQueryKeys.Term(t3 => t3.Field("name").Value(item)) as MustQuery<person>;
                mustIntroQueryKeys = mustIntroQueryKeys.Term(t3 => t3.Field("intro").Value(item)) as MustQuery<person>;
            }

            string cmd = new SearchCommand(indexName, indexType);
            string query = new QueryBuilder<person>()
                //1 查询
                .Query(b =>
                            b.Bool(m =>
                                m.Must(t =>
                                          t.Range(r => r.Field("age").From("1").To("500"))
                                          .Bool(ms =>
                                                    ms.Should(ts =>  
                                                             ts.Bool(m1 =>
                                                                         m1.Must(
                                                                                 t2 =>
                                                                                     //t2.Term(t3=>t3.Field("name").Value("研究"))
                                                                                     //   .Term(t3=>t3.Field("name").Value("方鸿渐"))  
                                                                                     //
                                                                                      mustNameQueryKeys
                                                                                 )
                                                                    )
                                                           )
                                                   .Should(ts =>
                                                             ts.Bool(m1 =>
                                                                         m1.Must(t2 => 
                                                                                         //t2.Term(t3 => t3.Field("intro").Value("研究"))
                                                                                         //.Term(t3 => t3.Field("intro").Value("方鸿渐"))  
                                                                                         
                                                                                        //
                                                                                        mustIntroQueryKeys
                                                                                )
                                                                    )
                                                          )
                                                      )
                                                        )      
                                                      )
                       )
                //分页
                 .From(from)
                 .Size(size)
                //排序
                // .Sort(c => c.Field("age", SortDirection.desc))
                //添加高亮
                  .Highlight(h => h
                      .PreTags("<b>")
                      .PostTags("</b>")
                      .Fields(
                             f => f.FieldName("intro").Order(HighlightOrder.score),
                              f => f.FieldName("name").Order(HighlightOrder.score)
                             )
                     )
                    .Build();


            string result = Client.Post(cmd, query);
            var serializer = new JsonNetSerializer();
            var list = serializer.ToSearchResult<Supernova.Webapi.DbHelper.person>(result);
            personList datalist = new personList();
            datalist.hits = list.hits.total;
            datalist.took = list.took;
            var personList = list.hits.hits.Select(c => new Supernova.Webapi.DbHelper.person()
            {
                id = c._source.id,
                age = c._source.age,
                birthday = c._source.birthday,
                intro = c.highlight==null||!c.highlight.Keys.Contains("intro") ? c._source.intro : string.Join("", c.highlight["intro"]), //高亮显示的内容，一条记录中出现了几次
                name = c.highlight==null||!c.highlight.Keys.Contains("name") ? c._source.name : string.Join("", c.highlight["name"]),
                sex = c._source.sex

            });
            datalist.list.AddRange(personList);
            return datalist;


        }
        //分词映射
        private static string BuildCompanyMapping()
        {
            return new MapBuilder<person>()
                .RootObject(typeName: "person",
                            map: r => r
                    .All(a => a.Enabled(false))
                    .Dynamic(false)
                    .Properties(pr => pr
                        .String(person => person.name, f => f.Analyzer(DefaultAnalyzers.standard).Boost(2))
                        .String(person => person.intro, f => f.Analyzer("ik"))
                        )
              )
              .BuildBeautified();
        }

        //将语句用ik分词，返回分词结果的集合
        private List<string> GetIKTokenFromStr(string key)
        {
            string s = "/db_test/_analyze?analyzer=ik";
            var result = Client.Post(s, "{"+key+"}");
            var serializer = new JsonNetSerializer();
            var list = serializer.Deserialize(result, typeof(ik)) as ik;            
            return list.tokens.Select(c=>c.token).ToList();
        }


    }

demo中涉及的实体对象模型

/// <summary>
    /// ik分词结果对象
    /// </summary>
    public class ik
    {
        public List<tokens> tokens { get; set; }
    }
    public class tokens
    {
        public string token { get; set; }
        public int start_offset { get; set; }
        public int end_offset { get; set; }
        public string type { get; set; }
        public int position { get; set; }
    }

    /// <summary>
    /// 测试数据对象
    /// </summary>
    public class personList
    {
        public personList()
        {
            this.list = new List<person>();
        }
        public int hits { get; set; }
        public int took { get; set; }
        public List<person> list { get; set; }
    }
    public class person
    {
        public string id { get; set; }
        public string name { get; set; }
        public int age { get; set; }
        public bool sex { get; set; }
        public DateTime birthday { get; set; }
        public string intro { get; set; }
    }

 

详细介绍ElasticSearchHelper里面的方法

1.索引文档（注意：索引文档之前先用配置filed对应的ik分词）：

 public IndexResult Index(string indexName, string indexType, string id, string jsonDocument)
        {
            
            var serializer = new JsonNetSerializer();
            string cmd = new IndexCommand(indexName, indexType, id);
            OperationResult result = Client.Put(cmd, jsonDocument);

            var indexResult = serializer.ToIndexResult(result.Result);
            return indexResult;
        }
        public IndexResult Index(string indexName, string indexType, string id, object document)
        {
            var serializer = new JsonNetSerializer();
            var jsonDocument = serializer.Serialize(document);
            return Index(indexName, indexType, id, jsonDocument);
        }

2.对单个字段的全文检索，字段intro 包含词组key中的任意一个单词。例如：词组（中国美好），只要每条数据的intro字段包含"中国"或者"美好"就返回。

public personList Search<person>(string indexName, string indexType, string key,int from ,int size)
        {
            string cmd = new SearchCommand(indexName, indexType);
            string query = new QueryBuilder<person>()
                //1 查询
                .Query(b =>
                            b.Bool(m =>
                                //并且关系
                                m.Must(t =>

                                    //分词的最小单位或关系查询
                                   t.QueryString(t1=>t1.DefaultField("intro").Query(key))
                                   //.QueryString(t1 => t1.DefaultField("name").Query(key))
                                   // t .Terms(t2=>t2.Field("intro").Values("研究","方鸿渐"))
                                   //范围查询
                                    // .Range(r =>  r.Field("age").From("100").To("200") )  
                                     )
                                  )
                                )
                  //分页
                 .From(from)
                 .Size(size)
                 //排序
                // .Sort(c => c.Field("age", SortDirection.desc))
                  //添加高亮
                  .Highlight(h => h
                      .PreTags("<b>")
                      .PostTags("</b>")
                      .Fields(
                             f => f.FieldName("intro").Order(HighlightOrder.score),
                             f => f.FieldName("_all")
                             )
                     )
                    .Build();


            string result = Client.Post(cmd, query);
            var serializer = new JsonNetSerializer();
            var list = serializer.ToSearchResult<Supernova.Webapi.DbHelper.person>(result);
            personList datalist = new personList();
            datalist.hits = list.hits.total;
            datalist.took = list.took;
             var personList= list.hits.hits.Select(c => new Supernova.Webapi.DbHelper.person() {
                 id=c._source.id, 
                 age=c._source.age,
                 birthday =c._source.birthday, 
                 intro=string.Join("",c.highlight["intro"]), //高亮显示的内容，一条记录中出现了几次
                 name=c._source.name,
                 sex=c._source.sex,
                 
             });
             datalist.list.AddRange(personList);
             return  datalist;


        }

 

3.字段intro 或者name 包含词组key中的所有单词。例如：词组（中国美好），只要每条数据的intro或者name字段包含"中国"并且包含"美好"就返回。

   public personList SearchFullFileds<person>(string indexName, string indexType, string key, int from, int size)
        {
            MustQuery<person> mustNameQueryKeys = new MustQuery<person>();
            MustQuery<person> mustIntroQueryKeys = new MustQuery<person>();
            var arrKeys = GetIKTokenFromStr(key);
            foreach (var item in arrKeys)
            {
                mustNameQueryKeys = mustNameQueryKeys.Term(t3 => t3.Field("name").Value(item)) as MustQuery<person>;
                mustIntroQueryKeys = mustIntroQueryKeys.Term(t3 => t3.Field("intro").Value(item)) as MustQuery<person>;
            }
            
            string cmd = new SearchCommand(indexName, indexType);
            string query = new QueryBuilder<person>()
                //1 查询
                .Query(b =>
                            b.Bool(m =>
                                m.Should(t =>  
                                         t.Bool(m1 =>
                                                     m1.Must(
                                                             t2 =>
                                                                 //t2.Term(t3=>t3.Field("name").Value("研究"))
                                                                 //   .Term(t3=>t3.Field("name").Value("方鸿渐"))  
                                                                 mustNameQueryKeys
                                                             )
                                                )
                                       )
                               .Should(t =>
                                         t.Bool(m1 =>
                                                     m1.Must(t2 => 
                                                                     //t2.Term(t3 => t3.Field("intro").Value("研究"))
                                                                     //.Term(t3 => t3.Field("intro").Value("方鸿渐"))  
                                                                     mustIntroQueryKeys
                                                            )
                                                )
                                      )
                                  )
                        )
                //分页
                 .From(from)
                 .Size(size)
                //排序
                // .Sort(c => c.Field("age", SortDirection.desc))
                //添加高亮
                  .Highlight(h => h
                      .PreTags("<b>")
                      .PostTags("</b>")
                      .Fields(
                             f => f.FieldName("intro").Order(HighlightOrder.score),
                              f => f.FieldName("name").Order(HighlightOrder.score)
                             )
                     )
                    .Build();


            string result = Client.Post(cmd, query);
            var serializer = new JsonNetSerializer();
            var list = serializer.ToSearchResult<Supernova.Webapi.DbHelper.person>(result);
            personList datalist = new personList();
            datalist.hits = list.hits.total;
            datalist.took = list.took;
            var personList = list.hits.hits.Select(c => new Supernova.Webapi.DbHelper.person()
            {
                id = c._source.id,
                age = c._source.age,
                birthday = c._source.birthday,
                intro = c.highlight==null||!c.highlight.Keys.Contains("intro") ? c._source.intro : string.Join("", c.highlight["intro"]), //高亮显示的内容，一条记录中出现了几次
                name = c.highlight==null||!c.highlight.Keys.Contains("name") ? c._source.name : string.Join("", c.highlight["name"]),
                sex = c._source.sex

            });
            datalist.list.AddRange(personList);
            return datalist;


        }

 

3.搜索age在1到500之间，并且字段intro 或者name 包含词组key中的所有单词。

 public personList SearchFullFiledss<person>(string indexName, string indexType, string key, int from, int size)
        {
            MustQuery<person> mustNameQueryKeys = new MustQuery<person>();
            MustQuery<person> mustIntroQueryKeys = new MustQuery<person>();
            var arrKeys = GetIKTokenFromStr(key);
            foreach (var item in arrKeys)
            {
                mustNameQueryKeys = mustNameQueryKeys.Term(t3 => t3.Field("name").Value(item)) as MustQuery<person>;
                mustIntroQueryKeys = mustIntroQueryKeys.Term(t3 => t3.Field("intro").Value(item)) as MustQuery<person>;
            }

            string cmd = new SearchCommand(indexName, indexType);
            string query = new QueryBuilder<person>()
                //1 查询
                .Query(b =>
                            b.Bool(m =>
                                m.Must(t =>
                                          t.Range(r => r.Field("age").From("1").To("500"))
                                          .Bool(ms =>
                                                    ms.Should(ts =>  
                                                             ts.Bool(m1 =>
                                                                         m1.Must(
                                                                                 t2 =>
                                                                                     //t2.Term(t3=>t3.Field("name").Value("研究"))
                                                                                     //   .Term(t3=>t3.Field("name").Value("方鸿渐"))  
                                                                                     //
                                                                                      mustNameQueryKeys
                                                                                 )
                                                                    )
                                                           )
                                                   .Should(ts =>
                                                             ts.Bool(m1 =>
                                                                         m1.Must(t2 => 
                                                                                         //t2.Term(t3 => t3.Field("intro").Value("研究"))
                                                                                         //.Term(t3 => t3.Field("intro").Value("方鸿渐"))  
                                                                                         
                                                                                        //
                                                                                        mustIntroQueryKeys
                                                                                )
                                                                    )
                                                          )
                                                      )
                                                        )      
                                                      )
                       )
                //分页
                 .From(from)
                 .Size(size)
                //排序
                // .Sort(c => c.Field("age", SortDirection.desc))
                //添加高亮
                  .Highlight(h => h
                      .PreTags("<b>")
                      .PostTags("</b>")
                      .Fields(
                             f => f.FieldName("intro").Order(HighlightOrder.score),
                              f => f.FieldName("name").Order(HighlightOrder.score)
                             )
                     )
                    .Build();


            string result = Client.Post(cmd, query);
            var serializer = new JsonNetSerializer();
            var list = serializer.ToSearchResult<Supernova.Webapi.DbHelper.person>(result);
            personList datalist = new personList();
            datalist.hits = list.hits.total;
            datalist.took = list.took;
            var personList = list.hits.hits.Select(c => new Supernova.Webapi.DbHelper.person()
            {
                id = c._source.id,
                age = c._source.age,
                birthday = c._source.birthday,
                intro = c.highlight==null||!c.highlight.Keys.Contains("intro") ? c._source.intro : string.Join("", c.highlight["intro"]), //高亮显示的内容，一条记录中出现了几次
                name = c.highlight==null||!c.highlight.Keys.Contains("name") ? c._source.name : string.Join("", c.highlight["name"]),
                sex = c._source.sex

            });
            datalist.list.AddRange(personList);
            return datalist;


        }

需要用到的方法：将语句用ik分词，返回分词结果的集合

 private List<string> GetIKTokenFromStr(string key)
        {
            string s = "/db_test/_analyze?analyzer=ik";
            var result = Client.Post(s, "{"+key+"}");
            var serializer = new JsonNetSerializer();
            var list = serializer.Deserialize(result, typeof(ik)) as ik;            
            return list.tokens.Select(c=>c.token).ToList();
        }

 

ASP.NET WebApi 调用ElasticSearchHelper

1.首先我们添加一个基类ApiController

 public class BaseApiController : ApiController
    {

        public MongoDatabase db;
        public MongoCollection col = null;//用于直接返回查询的json       
        public BaseApiController() { }
        public BaseApiController(string collectionName)
        {
            db = DbHelper.MongodbHelper.Instance.DB;
            col = db.GetCollection(collectionName);
        }
        public string GetStringRequest(string paramter)
        {
            return HttpContext.Current.Request.QueryString[paramter] ?? "";
        }
        public int? GetIntRequest(string paramter)
        {
            string tmp = HttpContext.Current.Request.QueryString[paramter] ?? "";
            int tag = 0;
            if (!int.TryParse(tmp, out tag))
            {
                return null;
            }
            return tag;
        }
    }

 

2.操作ElasticSearch的apicontroller如下：

namespace Supernova.Webapi.Controllers
{
    [RoutePrefix("api")]
    public class ESTestApiController : BaseApiController
    {
         [Route("estest")]
        [HttpGet]
        public object Search()
        {
             //1 搜索数据
            string key = GetStringRequest("Key");
            int? from = GetIntRequest("from");
            int? size = GetIntRequest("size");
             
            return ElasticSearchHelper.Intance.Search<person>("db_test", "person", key ?? "方鸿渐", from == null ? 0 : from.Value, size == null ? 20 : size.Value);

             
             
        }
         [Route("estest/SearchFullFileds")]
         [HttpGet]
         public object SearchFullFileds()
         {
             //1 搜索数据
             string key = GetStringRequest("Key");
             int? from = GetIntRequest("from");
             int? size = GetIntRequest("size");             
             return ElasticSearchHelper.Intance.SearchFullFileds<person>("db_test", "person", key ?? "方鸿渐", from == null ? 0 : from.Value, size == null ? 20 : size.Value);



         }
         [Route("estest/SearchFullFiledss")]
         [HttpGet]
         public object SearchFullFiledss()
         {
             //1 搜索数据
             string key = GetStringRequest("Key");
             int? from = GetIntRequest("from");
             int? size = GetIntRequest("size");            
             return ElasticSearchHelper.Intance.SearchFullFiledss<person>("db_test", "person", key ?? "方鸿渐", from == null ? 0 : from.Value, size == null ? 20 : size.Value);



         }
        /// <summary>
         /// 索引数据
        /// </summary>
        /// <returns></returns>
         [Route("estest/index")]
         [HttpGet]
         public object index()
         {             
             int length = S.test.Length;
             Random rd = new Random();
             Random rdName = new Random();
             ParallelOptions _po = new ParallelOptions();
             _po.MaxDegreeOfParallelism = 4;
             Parallel.For(0, 10000000, _po, c =>
             {

                 var start = rd.Next(0, S.test.Length - 700);
                 var startName = rd.Next(0, S.test.Length - 30);
                 person p = new person() { age = DateTime.Now.Millisecond, birthday = DateTime.Now, id = Guid.NewGuid().ToString(), intro = S.test.Substring(start, 629) + c, name = S.test.Substring(startName, 29) + c, sex = true };
                 ElasticSearchHelper.Intance.Index("db_test", "person", Guid.NewGuid().ToString(), p);
             });
             return 1;
         }
    }
    public class S
    {
        public static  string test = @"钱钟书《围城》...";
    }
}

 

3.索引数据的api如下：

/// <summary>
         /// 索引数据
        /// </summary>
        /// <returns></returns>
         [Route("estest/index")]
         [HttpGet]
         public object index()
         {             
             int length = S.test.Length;
             Random rd = new Random();
             Random rdName = new Random();
             ParallelOptions _po = new ParallelOptions();
             _po.MaxDegreeOfParallelism = 4;
             Parallel.For(0, 10000000, _po, c =>
             {

                 var start = rd.Next(0, S.test.Length - 700);
                 var startName = rd.Next(0, S.test.Length - 30);
                 person p = new person() { age = DateTime.Now.Millisecond, birthday = DateTime.Now, id = Guid.NewGuid().ToString(), intro = S.test.Substring(start, 629) + c, name = S.test.Substring(startName, 29) + c, sex = true };
                 ElasticSearchHelper.Intance.Index("db_test", "person", Guid.NewGuid().ToString(), p);
             });
             return 1;
         }

索引使用的测试数据如下：

   public class S
    {
        public static  string test = @"钱钟书《围城》...";
    }

 

4.搜索api如下：

[Route("estest")]
        [HttpGet]
        public object Search()
        {
             //1 搜索数据
            string key = GetStringRequest("Key");
            int? from = GetIntRequest("from");
            int? size = GetIntRequest("size");
             
            return ElasticSearchHelper.Intance.Search<person>("db_test", "person", key ?? "方鸿渐", from == null ? 0 : from.Value, size == null ? 20 : size.Value);

             
             
        }
         [Route("estest/SearchFullFileds")]
         [HttpGet]
         public object SearchFullFileds()
         {
             //1 搜索数据
             string key = GetStringRequest("Key");
             int? from = GetIntRequest("from");
             int? size = GetIntRequest("size");             
             return ElasticSearchHelper.Intance.SearchFullFileds<person>("db_test", "person", key ?? "方鸿渐", from == null ? 0 : from.Value, size == null ? 20 : size.Value);



         }
         [Route("estest/SearchFullFiledss")]
         [HttpGet]
         public object SearchFullFiledss()
         {
             //1 搜索数据
             string key = GetStringRequest("Key");
             int? from = GetIntRequest("from");
             int? size = GetIntRequest("size");            
             return ElasticSearchHelper.Intance.SearchFullFiledss<person>("db_test", "person", key ?? "方鸿渐", from == null ? 0 : from.Value, size == null ? 20 : size.Value);



         }

 

WebSite中的view视图调用webapi

说明：我是直接使用ajax(jsop格式)调用webapi，返回的数据直接用knockout绑定到table中的。

视图代码如下：

@{
    ViewBag.Title = "ElasticSearch测试";
    Layout = null;
}
<link href="~/Content/bootstrap.css" rel="stylesheet" />
<script src="~/Scripts/jquery-2.1.3.min.js"></script>
<script src="~/Scripts/knockout-3.3.0.js"></script>
<style>
    b{
        color:red;
    }
</style>
<script>
    $(function () {
        function ViewModel() {
            self = this;
            self.getData = ko.observableArray();
            //定义加载数据方法
            self.loadData = function () {
                $.get("http://192.168.0.230/api/estest//SearchFullFiledss", { key: "@Request.QueryString["key"]", from: "@Request.QueryString["from"]", size: "@Request.QueryString["size"]" }, function (data) {
                    // alert(data.hits);
                    // alert(data.list.length);
                    $("#count").text("符合条件的数据供：" + data.hits + "  共花费了：" + data.took + "毫秒");
                   
                    $.each(data.list, function (i) {
                        var date=data.list[i].birthday;
                       
                    });
                    self.getData(data.list);
                }, "jsonp");
            };
            //调用定义方法
            self.loadData();
        }
        ko.applyBindings(new ViewModel());

    });


</script>
<div id="count"></div>

<div class="row">
    <table class="table-bordered table-condensed table-hover table-striped">
        <tbody data-bind="foreach: getData">
            <tr>
                <td data-bind="text: id" />
                <td data-bind="html: name" />
                <td data-bind="text: sex" />
                <td data-bind="text: age" />                
                <td data-bind="text: birthday" />
                <td data-bind="html: intro" />
            </tr>
        </tbody>
    </table>
</div>
<script>

</script>

 

搜索结果测试如下（我是用"api/estest//SearchFullFiledss"这个api测试的，搜索age在1到500之间，并且字段intro 或者name 包含词组key中的所有单词。）：

1.首先我们看一看测试数据总共有多少：

 

我们可以看到总共db_test中总共有两千多万条数据。

 

搜索测试1

测试条件：key=上海方鸿渐&from=0&size=100，key指搜索关键短语，0是从第0条开始区数据，100是指取一百条数据，隐藏条件是age大于1小于500

 

我们可以看到，首次搜索时，两千多万条数据大约耗时3.5秒，这里还包括取100条数据的时间，如果把数据改为20条则会更快。这里的硬件配置还只限于我的本机测试(内存8G,处理器Intel i5-4590 3.3GHZ)。

 

搜索测试2

测试条件同测试1：key=上海方鸿渐&from=0&size=100，key指搜索关键短语，0是从第0条开始区数据，100是指取一百条数据，隐藏条件是age大于1小于500

 

 

我们可以看到，搜索耗时降到了大约1.5秒。这说明同一个关键词搜索越频繁，搜索速度越快，这是因为ElasticSearch会自动将搜索的内容缓存到内存中。

 

搜索测试3

测试条件：key=香烟德国&from=0&size=20，key指搜索关键短语，0是从第0条开始区数据，20是指取一百条数据，隐藏条件是age大于1小于500

 

搜索测试4

测试条件同测试3，二次相同条件搜索：key=香烟德国&from=0&size=20，key指搜索关键短语，0是从第0条开始区数据，20是指取一百条数据，隐藏条件是age大于1小于500

 

我们可以看到，在二次搜索条件相同，搜索数据降低到20条的时候，只耗时不到0.5秒。

 

本章完……

 

 

 

ElasticSearch系列学习 

ElasticSearch第一步-环境配置

ElasticSearch第二步-CRUD之Sense 

ElasticSearch第三步-中文分词

ElasticSearch第四步-查询详解

ElasticSearch第五步-.net平台下c#操作ElasticSearch详解