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
}
]
}
