1、默认集群连接

Client client = TransportClient.builder().build()
    	        .addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("localhost"), 9300));

2、自定义集群连接

Settings settings = Settings.settingsBuilder().put("cluster.name", "cluster-lhy").build();
		Client client = TransportClient.builder().settings(settings).build().addTransportAddress(new   InetSocketTransportAddress(InetAddress.getByName("localhost"),   9300));

3、index创建

 client.admin().indices().prepareCreate("phone12").get();

4、mapping创建

有四种方式，只提倡前两种（json字符串格式和XContentBuilder），都是一个方法，不同类型参数

	Client client = TransportClient.builder().build()
    	        .addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("localhost"), 9300));

        new XContentFactory();

        XContentBuilder builder=XContentFactory.jsonBuilder()

        .startObject()//注意不要加index和type

                .startObject("properties")

                .startObject("id1").field("type", "integer").field("store", "yes").endObject()

                .startObject("kw1").field("type", "string").field("store", "yes").field("analyzer", "ik").endObject()

                .startObject("edate33").field("type", "date").field("store", "yes").endObject()

                .endObject()

            .endObject();

  /**
   * 创建并添加方式1
   */
      /*  client.admin().indices().prepareCreate("twitter1")
        .addMapping("tweet", "{\n" +
                "    \"tweet\": {\n" +
                "      \"properties\": {\n" +
                "        \"message1\": {\n" +
                "          \"type\": \"string\",\n" +
                	   "             \"indexAnalyzer\": \"ik\"\n"+
                "        }\n" +
                "      }\n" +
                "    }\n" +
                "  }")
        .get();*/
        /**
         * 创建并添加方式2
         */
    	  //client.admin().indices().prepareCreate("phone1").addMapping("jingdong", builder).get();
        /**
         * 修改type中属性 方式1
         */
   /*     client.admin().indices().preparePutMapping(new String[]{"phone"})
        .setType("jingdong")
        .setSource("{\n" +
                "  \"properties\": {\n" +
                "    \"nameaaa\": {\n" +
                "      \"type\": \"string\"\n" +
                "    }\n" +
                "  }\n" +
                "}")
        .get();*/

        /**
         * 修改type中属性 方式2
         */
        /*client.admin().indices().preparePutMapping(new String[]{"phone"})
        .setType("jingdong").setSource(builder)
        .get();*/
        /**
         * 方式3不推荐
         */
       /* Map map=new HashMap();
        Map map2=new HashMap();
        map2.put("type", "string");
        Map map3=new HashMap();

        map.put("ooooooooo",map2);
        map3.put("properties", map);
        client.admin().indices().preparePutMapping(new String[]{"phone"})   

        .setType("jingdong").setSource(map3)
        .get();
        client.close();*/

5、2.3.4版本elasticsearch的ik分词器配置注意

 不需要再在elasticsearch配置文件elasticsearch.yml中配置

1.从https://github.com/medcl/elasticsearch-analysis-ik下载elasticsearch-analysis-ik-master.zip

2.解压elasticsearch-analysis-ik-master.zip

   unzip elasticsearch-analysis-ik-master.zip

3.进入elasticsearch-analysis-ik-master，编译源码

  cd  elasticsearch-analysis-ik-master

  mvn clean package

  编译后会放在 elasticsearch-analysis-ik-master/target/releases目录下

4.在$ES_HOME/plugins文件夹下创建ik

    mkdir ik

5、找到将编译后生成的elasticsearch-analysis-ik-1.9.4.zip解压到$ES_HOME/plugins/ik下

测试分词器curl -XPOST  "http://localhost:9200/索引/_analyze?analyzer=ik&pretty=true&text=我是中国人"