ES-ik分词器安装

ES-ik分词器安装

该安装地址可以参考github开源项目elasticsearch-analysis-ik

手动安装

• 手动下载安装包，安装包地址：https://github.com/medcl/elasticsearch-analysis-ik/releases，需要注意的是要下载与自己版本一致的，版本不一致的可能会有问题。
• 在es的安装地址下，plugins文件夹中创建目录ik
• 解压安装包到ik文件夹中

使用es命令安装

• 进入es安装目录bin中
• 执行命令/elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v6.3.0/elasticsearch-analysis-ik-6.3.0.zip，同样需要注意的是，将6.3.0替换成自己的版本。

测试使用

安装完成之后，重启es,启动过程打印的日志应该会有下面内容：

启动日志

可以看出，加载了我们刚刚安装好的anlysis-ik.我们可以使用_analyzer测试使用。

POST _analyze
{
  "text": "美国留给伊拉克的是一个烂摊子吗？",
  "analyzer": "ik_smart"
}

POST _analyze
{
  "text": "美国留给伊拉克的是一个烂摊子吗？",
  "analyzer": "ik_max_word"
}

运行上面的测试示例，将会得到分词的结果：

结果一：

{
  "tokens" : [
    {
      "token" : "美国",
      "start_offset" : 0,
      "end_offset" : 2,
      "type" : "CN_WORD",
      "position" : 0
    },
    {
      "token" : "留给",
      "start_offset" : 2,
      "end_offset" : 4,
      "type" : "CN_WORD",
      "position" : 1
    },
    {
      "token" : "伊拉克",
      "start_offset" : 4,
      "end_offset" : 7,
      "type" : "CN_WORD",
      "position" : 2
    },
    {
      "token" : "的",
      "start_offset" : 7,
      "end_offset" : 8,
      "type" : "CN_CHAR",
      "position" : 3
    },
    {
      "token" : "是",
      "start_offset" : 8,
      "end_offset" : 9,
      "type" : "CN_CHAR",
      "position" : 4
    },
    {
      "token" : "一个",
      "start_offset" : 9,
      "end_offset" : 11,
      "type" : "CN_WORD",
      "position" : 5
    },
    {
      "token" : "烂摊子",
      "start_offset" : 11,
      "end_offset" : 14,
      "type" : "CN_WORD",
      "position" : 6
    },
    {
      "token" : "吗",
      "start_offset" : 14,
      "end_offset" : 15,
      "type" : "CN_CHAR",
      "position" : 7
    }
  ]
}

结果二：

{
  "tokens" : [
    {
      "token" : "美国",
      "start_offset" : 0,
      "end_offset" : 2,
      "type" : "CN_WORD",
      "position" : 0
    },
    {
      "token" : "留给",
      "start_offset" : 2,
      "end_offset" : 4,
      "type" : "CN_WORD",
      "position" : 1
    },
    {
      "token" : "伊拉克",
      "start_offset" : 4,
      "end_offset" : 7,
      "type" : "CN_WORD",
      "position" : 2
    },
    {
      "token" : "的",
      "start_offset" : 7,
      "end_offset" : 8,
      "type" : "CN_CHAR",
      "position" : 3
    },
    {
      "token" : "是",
      "start_offset" : 8,
      "end_offset" : 9,
      "type" : "CN_CHAR",
      "position" : 4
    },
    {
      "token" : "一个",
      "start_offset" : 9,
      "end_offset" : 11,
      "type" : "CN_WORD",
      "position" : 5
    },
    {
      "token" : "一",
      "start_offset" : 9,
      "end_offset" : 10,
      "type" : "TYPE_CNUM",
      "position" : 6
    },
    {
      "token" : "个",
      "start_offset" : 10,
      "end_offset" : 11,
      "type" : "COUNT",
      "position" : 7
    },
    {
      "token" : "烂摊子",
      "start_offset" : 11,
      "end_offset" : 14,
      "type" : "CN_WORD",
      "position" : 8
    },
    {
      "token" : "摊子",
      "start_offset" : 12,
      "end_offset" : 14,
      "type" : "CN_WORD",
      "position" : 9
    },
    {
      "token" : "吗",
      "start_offset" : 14,
      "end_offset" : 15,
      "type" : "CN_CHAR",
      "position" : 10
    }
  ]
}