[搜索]ElasticSearch Java Api(一) －添加数据创建索引

概要：

一、生成JSON

创建索引的第一步是要把对象转换为JSON字符串.官网给出了四种创建JSON文档的方法：

1.1手写方式生成

 String json = "{" +

         "\"user\":\"kimchy\"," +

         "\"postDate\":\"2013-01-30\"," +

         "\"message\":\"trying out Elasticsearch\"" +

     "}";

手写方式很简单，但是要注意日期格式：Date Formate

1.2使用集合

集合是key:value数据类型，可以代表json结构.

 Map<String, Object> json = new HashMap<String, Object>();

 json.put("user","kimchy");

 json.put("postDate","2013-01-30");

 json.put("message","trying out Elasticsearch");

1.3使用JACKSON序列化

ElasticSearch已经使用了jackson，可以直接使用它把javabean转为json.

 // instance a json mapper

 ObjectMapper mapper = new ObjectMapper(); // create once, reuse

 // generate json

 byte[] json = mapper.writeValueAsBytes(yourbeaninstance);

1.4使用ElasticSearch 帮助类

 import static org.elasticsearch.common.xcontent.XContentFactory.*;

 XContentBuilder builder = jsonBuilder()

     .startObject()

         .field("user", "kimchy")

         .field("postDate", new Date())

         .field("message", "trying out Elasticsearch")

     .endObject()

  String json = builder.string();

二、创建索引

下面的例子把json文档写入所以，索引库名为twitter、类型为tweet,id为1：

 import static org.elasticsearch.common.xcontent.XContentFactory.*;

 IndexResponse response = client.prepareIndex("twitter", "tweet", "1")

         .setSource(jsonBuilder()

                     .startObject()

                         .field("user", "kimchy")

                         .field("postDate", new Date())

                         .field("message", "trying out Elasticsearch")

                     .endObject()

                   )

         .get();

也可以直接传人JSON字符串：

 String json = "{" +

         "\"user\":\"kimchy\"," +

         "\"postDate\":\"2013-01-30\"," +

         "\"message\":\"trying out Elasticsearch\"" +

     "}";

 IndexResponse response = client.prepareIndex("twitter", "tweet")

         .setSource(json)

         .get();

可以调用response对象的方法获取返回信息：

 // 索引名称

 String _index = response.getIndex();

 // 类型名称

 String _type = response.getType();

 // 文档id

 String _id = response.getId();

 // 版本(if it's the first time you index this document, you will get: 1)

 long _version = response.getVersion();

 // 是否被创建is true if the document is a new one, false if it has been updated

 boolean created = response.isCreated();

更简单的可以直接System.out.println(response)查看返回信息.

三、java实现

新建一个java项目，导入elasticsearch-2.3.3/lib目录下的jar文件.新建一个Blog类：

 package com.cn.test.exaple1;

 public class Blog {

     private Integer id;

     private String title;

     private String posttime;

     private String content;

     public Blog() {

     }

     public Blog(Integer id, String title, String posttime, String content) {

         this.id = id;

         this.title = title;

         this.posttime = posttime;

         this.content = content;

     }

     public Integer getId() {

         return id;

     }

     public void setId(Integer id) {

         this.id = id;

     }

     public String getTitle() {

         return title;

     }

     public void setTitle(String title) {

         this.title = title;

     }

     public String getPosttime() {

         return posttime;

     }

     public void setPosttime(String posttime) {

         this.posttime = posttime;

     }

     public String getContent() {

         return content;

     }

     public void setContent(String content) {

         this.content = content;

     }

 }

创建java实体类转json工具类：

 package com.cn.test.exaple1;

 import java.io.IOException;

 import org.elasticsearch.common.xcontent.XContentBuilder;

 import org.elasticsearch.common.xcontent.XContentFactory;

 /**

 * @ClassName: JsonUtil

 * @Description: java实体类转json工具类

 * @author JinXing

 * @date 2017年12月1日 下午1:48:25

 *

 */

 public class JsonUtil {

      // Java实体对象转json对象

     public static String model2Json(Blog blog) {

         String jsonData = null;

         try {

             XContentBuilder jsonBuild = XContentFactory.jsonBuilder();

             jsonBuild.startObject().field("id", blog.getId()).field("title", blog.getTitle())

                     .field("posttime", blog.getPosttime()).field("content",blog.getContent()).endObject();

             jsonData = jsonBuild.string();

             System.out.println(jsonData);

         } catch (IOException e) {

             e.printStackTrace();

         }

         return jsonData;

     }

 }

添加数据，返回一个list：

 package com.cn.test.exaple1;

 import java.util.ArrayList;

 import java.util.List;

 /**

 * @ClassName: DataFactory

 * @Description: 添加数据，返回一个list：

 * @author JinXing

 * @date 2017年12月1日 下午3:08:02

 *

 */

 public class DataFactory {

      public static DataFactory dataFactory = new DataFactory();

         private DataFactory() {

         }

         public DataFactory getInstance() {

             return dataFactory;

         }

         //List 数据集

         public static List<String> getInitJsonData() {

             List<String> list = new ArrayList<String>();

             String data1 = JsonUtil.model2Json(new Blog(1, "git简介", "2016-06-19", "SVN与Git最主要的区别..."));

             String data2 = JsonUtil.model2Json(new Blog(2, "Java中泛型的介绍与简单使用", "2016-06-19", "学习目标 掌握泛型的产生意义..."));

             String data3 = JsonUtil.model2Json(new Blog(3, "SQL基本操作", "2016-06-19", "基本操作：CRUD ..."));

             String data4 = JsonUtil.model2Json(new Blog(4, "Hibernate框架基础", "2016-06-19", "Hibernate框架基础..."));

             String data5 = JsonUtil.model2Json(new Blog(5, "Shell基本知识", "2016-06-19", "Shell是什么..."));

             list.add(data1);

             list.add(data2);

             list.add(data3);

             list.add(data4);

             list.add(data5);

             return list;

         }

 }

创建索引、添加数据：

 package com.cn.test.exaple1;

 import java.io.IOException;

 import java.net.InetAddress;

 import java.net.UnknownHostException;

 import java.util.List;

 import org.elasticsearch.action.index.IndexResponse;

 import org.elasticsearch.client.Client;

 import org.elasticsearch.client.transport.TransportClient;

 import org.elasticsearch.common.transport.InetSocketTransportAddress;

 public class ElasticSearchHandler {

      public static void main(String[] args) {

             try {

                 /* 创建客户端 */

                 // client startup

                 Client client = TransportClient.builder().build()

                         .addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("127.0.0.1"), 9300));

                 //数据源

                 List<String> jsonData = DataFactory.getInitJsonData();

                 for (int i = 0; i < jsonData.size(); i++) {

                     //JSON文档写入索引，索引库名为blog、类型为article

                     IndexResponse response = client.prepareIndex("blog", "article")

                             //写入JSON字符串

                             .setSource(jsonData.get(i)).get();

                     if (response.isCreated()) {//是否被创建is true if the document is a new one, false if it has been updated

                        System.out.println("创建成功!");

                     }

                 }

                 client.close();

             } catch (UnknownHostException e) {

                 e.printStackTrace();

             } catch (@SuppressWarnings("hiding") IOException e) {

                 e.printStackTrace();

             }

         }

 }

查看插入的数据：

下面的插件为谷歌sense插件，下载参考地址：http://www.cnplugins.com/search/context-sense/download.html
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[搜索]ElasticSearch Java Api(一) －添加数据创建索引

目录：

一、生成JSON

1.1手写方式生成

1.2使用集合

1.3使用JACKSON序列化

1.4使用ElasticSearch 帮助类

二、创建索引

三、java实现

一、生成JSON

1.1手写方式生成

1.2使用集合

1.3使用JACKSON序列化

1.4使用ElasticSearch 帮助类

二、创建索引

三、java实现

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