.net core 如何向elasticsearch中创建索引,插入数据。
首先我们要建一个webapi工程,然后下载两个插件:
1,Nest 2,Elasticsearch.Net
下载后,下面就上代码了,首先是elasticsearchHelp帮助类
using Elasticsearch.Net; using Nest; using System; namespace ESAPI.Common { public static class ElasticSearchHelper {public static readonly string url = "http://ip:9200/";//这个是elasticsearch远程访问ip public static void insert(object t,string index) { //设置连接字符串,DefaultIndex中的表名要小写 var settings = new ConnectionSettings(new Uri(url)).DefaultIndex(index); var client = new ElasticClient(settings); var doc = t; //通过 IndexDocument() 方法插入数据 var ndexResponse = client.IndexDocument(doc); } /// <summary> /// 单点链接到ElasticSearch /// </summary> /// <param name="url">ElasticSearch的ip地址</param> /// <returns></returns> public static ElasticClient OneConnectES(string url) { var node = new Uri(url); var settings = new ConnectionSettings(node); var client = new ElasticClient(settings); return client; } /// <summary> /// 指定多个节点使用连接池链接到Elasticsearch集群 /// </summary> /// <param name="serverurl">链接ip数组</param> /// <returns></returns> public static ElasticClient ManyConnectES(string[] serverurl) { Uri[] nodes = new Uri[serverurl.Length]; for (int i = 0; i < serverurl.Length; i++) { nodes[i] = new Uri(serverurl[i]); } var pool = new StaticConnectionPool(nodes); var settings = new ConnectionSettings(pool); var client = new ElasticClient(settings); return client; } /// <summary> /// 创建索引 /// </summary> /// <param name="elasticClient"></param> public static CreateIndexResponse CreateIndex(this IElasticClient elasticClient, string indexName, int numberOfReplicas = 1, int numberOfShards = 5) { IIndexState indexState = new IndexState { Settings = new IndexSettings { NumberOfReplicas = numberOfReplicas, // [副本数量] NumberOfShards = numberOfShards } }; Func<CreateIndexDescriptor, ICreateIndexRequest> func = x => x.InitializeUsing(indexState).Map(m => m.AutoMap()); CreateIndexResponse response = elasticClient.Indices.Create(indexName, func); return response; } } }
控制器代码:
using System; using ESAPI.Common; using Microsoft.AspNetCore.Mvc; namespace ESAPI.Controllers { [Route("api/[controller]")] [ApiController] public class ValuesController : ControllerBase { /// <summary> /// 删除地址 /// </summary> /// <param name="id"></param> [HttpGet("InsertLog")] public void InsertLog() { //插入200条数据 for (int i = 0; i < 200; i++) { var d = new { Time = DateTime.Now, Num = 5, Name = "12313", info = "hello world!" }; ElasticSearchHelper.insert(d, "demo"); } } } }
运行程序:
查看elasticsearch可视化界面:
很显然,插入成功了!既然是ELK,后续我还会对logstash,Kibana的安装和使用也进行详细的介绍,下一篇,会详细介绍logstash的安装和使用!
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另外一部分,则需要先做聚类、分类处理,将聚合出的分类结果存入ES集群的聚类索引中。数据处理层的聚合结果存入ES中的指定索引,同时将每个聚合主题相关的数据存入每个document下面的某个field下。
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