elasticsearch 2.3.4 java API 连接，ik分词器，设置集群节点，创建index，mapping的几种方式

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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" 

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