elasticsearch插件安装之--中文分词器 ik 安装

/**

 * 系统环境: vm12 下的centos 7.2

 * 当前安装版本: elasticsearch-2.4.0.tar.gz

 */

ElasticSearch中内置了许多分词器, standard, english, chinese等, 中文分词效果不佳, 所以使用ik

安装ik分词器

下载链接: https://github.com/medcl/elasticsearch-analysis-ik/releases

版本对应关系: https://github.com/medcl/elasticsearch-analysis-ik

 

关闭elasticsearch.bat，将下载下来的压缩文件解压，在ES目录中的plugins文件夹里新建名为ik的文件夹，将解压得到的所有文件复制到ik中。

unzip elasticsearch-analysis-ik-1.10.0.zip

　　确认 plugin-descriptor.properties 中的版本和安装的elasticsearch版本一直, 否则报异常

在elasticsearch.yml中增加ik设置

index.analysis.analyzer.ik.type : “ik”  

  　　或者添加: 

index:
  analysis:
    analyzer:
      ik:
          alias: [ik_analyzer]
          type: org.elasticsearch.index.analysis.IkAnalyzerProvider
      ik_max_word:
          type: ik
          use_smart: false
      ik_smart:
          type: ik
          use_smart: true

 

重新启动elasticsearch

 

 

注意: 不可将zip包放在在ik目录同级, 否则报错

Exception in thread "main" java.lang.IllegalStateException: Could not load plugin descriptor for existing plugin [elasticsearch-analysis-ik-1.10.0.zip]. Was the plugin built before 2.0?
Likely root cause: java.nio.file.FileSystemException: /usr/work/elasticsearch/elasticsearch-2.4.0/plugins/elasticsearch-analysis-ik-1.10.0.zip/plugin-descriptor.properties: 不是目录
    at sun.nio.fs.UnixException.translateToIOException(UnixException.java:91)
    at sun.nio.fs.UnixException.rethrowAsIOException(UnixException.java:102)
    at sun.nio.fs.UnixException.rethrowAsIOException(UnixException.java:107)
    at sun.nio.fs.UnixFileSystemProvider.newByteChannel(UnixFileSystemProvider.java:214)
    at java.nio.file.Files.newByteChannel(Files.java:361)
    at java.nio.file.Files.newByteChannel(Files.java:407)
    at java.nio.file.spi.FileSystemProvider.newInputStream(FileSystemProvider.java:384)
    at java.nio.file.Files.newInputStream(Files.java:152)
    at org.elasticsearch.plugins.PluginInfo.readFromProperties(PluginInfo.java:87)
    at org.elasticsearch.plugins.PluginsService.getPluginBundles(PluginsService.java:378)
    at org.elasticsearch.plugins.PluginsService.<init>(PluginsService.java:128)
    at org.elasticsearch.node.Node.<init>(Node.java:158)
    at org.elasticsearch.node.Node.<init>(Node.java:140)
    at org.elasticsearch.node.NodeBuilder.build(NodeBuilder.java:143)
    at org.elasticsearch.bootstrap.Bootstrap.setup(Bootstrap.java:194)
    at org.elasticsearch.bootstrap.Bootstrap.init(Bootstrap.java:286)
    at org.elasticsearch.bootstrap.Elasticsearch.main(Elasticsearch.java:35)
Refer to the log for complete error details.

 

 

测试: 

首先配置: 

curl -XPUT localhost:9200/local -d '{
    "settings" : {
        "analysis" : {
            "analyzer" : {
                "ik" : {
                    "tokenizer" : "ik"
                }
            }
        }
    },
    "mappings" : {
        "article" : {
            "dynamic" : true,
            "properties" : {
                "title" : {
                    "type" : "string",
                    "analyzer" : "ik"
                }
            }
        }
    }
}'

 

然后测试

curl 'http://localhost:9200/index/_analyze?analyzer=ik&pretty=true' -d' 
{ 
    "text":"中华人民共和国国歌" 
} 
' 
{
  "tokens" : [ {
    "token" : "text",
    "start_offset" : 12,
    "end_offset" : 16,
    "type" : "ENGLISH",
    "position" : 1
  }, {
    "token" : "中华人民共和国",
    "start_offset" : 19,
    "end_offset" : 26,
    "type" : "CN_WORD",
    "position" : 2
  }, {
    "token" : "国歌",
    "start_offset" : 26,
    "end_offset" : 28,
    "type" : "CN_WORD",
    "position" : 3
  } ]
}

想要返回最细粒度的结果, 需要在elaticsearch.yml中配置

index:
  analysis:
    analyzer:
      ik:
          alias: [ik_analyzer]
          type: org.elasticsearch.index.analysis.IkAnalyzerProvider
      ik_smart:
          type: ik
          use_smart: true
      ik_max_word:
          type: ik
          use_smart: false