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
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 cdelasticsearch-analysis-ik-master mvnclean 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"
