Elasticsearch整合IK分词器
原文链接:
https://blog.csdn.net/wdy_2099/article/details/85690138
一.ik分词器的打包安装
官网代码地址：https://github.com/medcl/elasticsearch-analysis-ik
1）下载-解压
elasticsearch-analysis-ik-master.zip
解压后：
在这里插入图片描述
2）进入解压后的目录执行mvn打包命令
mvn package -Pdist,native -DskipTests -Dtar
整个过程如下：
F:\BaiduNetdiskDownload\elasticsearch-analysis-ik-master>mvn package -Pdist,native -DskipTests -Dtar
[INFO] Scanning for projects...
[WARNING]
[WARNING] Some problems were encountered while building the effective model for org.elasticsearch:elasticsearch-analysis-ik:jar:5.6.1
[WARNING] 'version' contains an expression but should be a constant. @ org.elasticsearch:elasticsearch-analysis-ik:${elasticsearch.version}, F:\BaiduNetdiskDownload\elasticsearch-analysis-ik-master\pom.xml, line 9, column 14
[WARNING]
[WARNING] It is highly recommended to fix these problems because they threaten the stability of your build.
[WARNING]
[WARNING] For this reason, future Maven versions might no longer support building such malformed projects.
[WARNING]
[INFO]
[INFO] ------------------------------------------------------------------------
[INFO] Building elasticsearch-analysis-ik 5.6.1
[INFO] ------------------------------------------------------------------------
Downloading: https://repo.maven.apache.org/maven2/org/apache/maven/plugins/maven-enforcer-plugin/1.2/maven-enforcer-plugin-1.2.pom
.......................
4）打包完成后，在.\elasticsearch-analysis-ik-master\target\releases目录下会看到打包后的zip文件elasticsearch-analysis-ik-版本号.zip，我这里是elasticsearch-analysis-ik-5.6.1.zip
5）解压生成的elasticsearch-analysis-ik-5.6.1.zip
6）将解压后的elasticsearch目录拷贝到es的安装目录下的plugins目录下
7）重启es：bin/elasticsearch (注意是非root用户哦)
启动过程中，会发现analysis-ik插件已经被加载成功
在这里插入图片描述
二.测试使用
【接前文工程代码哦】
1）新建一个index：blog3
//忽略代码
@Test
public void esTest() throws UnknownHostException {
//获取集群信息
Settings settings = Settings.builder().put("cluster.name","my-es-search").build();
//获取客户端
PreBuiltTransportClient preBuiltTransportClient = new PreBuiltTransportClient(settings);
//连接指定客户端主机
preBuiltTransportClient.addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("192.168.1.117"), 9300));
System.out.println("" + preBuiltTransportClient.toString());
//创建索引
preBuiltTransportClient.admin().indices().prepareCreate("blog3").get();
//最后关闭客户端
preBuiltTransportClient.close();
}
创建对应mapping：给对应的字段上新增.field(“analyzer”,“ik_smart”)
这里analyzer取值有2种：
1.ik_smart:表示智能分词（可以认为最小化分词个数）
2.ik_max_word:表示最大化分词个数
//##通用代码，同上##
// 1设置mapping
XContentBuilder builder = XContentFactory.jsonBuilder()
.startObject()
.startObject("article")
.startObject("properties")
.startObject("id")
.field("type", "string")
.field("store", "yes")
.field("analyzer","ik_smart")
.endObject()
.startObject("title")
.field("type", "string")
.field("store", "no")
.field("analyzer","ik_smart")
.endObject()
.startObject("content")
.field("type", "string")
.field("store", "yes")
.field("analyzer","ik_smart")
.endObject()
.endObject()
.endObject()
.endObject();
// 2 添加mapping
PutMappingRequest mapping = Requests.putMappingRequest("blog3").type("article").source(builder);
preBuiltTransportClient.admin().indices().putMapping(mapping).get();
//##通用代码，同上##
加完mapping的效果：
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3）最后，在执行查询的时候就能查询到值了（前文中用默认的分词器没有查到，因为默认的分词器会把中文分成一个一个的字）
blog3的数据如下
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////通配符查询
String keywordLike = "第?";
SearchResponse searchResponse = preBuiltTransportClient.prepareSearch("blog3").setTypes("article")
.setQuery(QueryBuilders.wildcardQuery("title",keywordLike)).get();
SearchHits searchHits = searchResponse.getHits();
System.out.println("查询的总条数：" + searchHits.getTotalHits());//查询的总条数：3
for (SearchHit searchHit : searchHits) {
System.out.println("" + searchHit.getSourceAsString());
}
//查询的总条数：2
//{"atcId":"2","title":"第二文","content":"ID：ffmkiejjmecolpfloofpjologoblkegm\n"}
//{"atcId":"1","title":"第一文","content":"浏览器查看http://hadoop102:9200/blog2"}
发现数据都被查询出来了。
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