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

来源：互联网发布：国内网络婚纱品牌排行编辑：程序博客网时间：2024/05/20 18:17

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"

0 0