github地址：https://github.com/medcl/elasticsearch-analysis-ik
注意版本要对应，否则编译完成后elasticsearch不能正常启动
下载文件，解压到E:softelkelasticsearch-analysis-ik-master目录下
打开cmd,输入如下
mvn package
这个命令需要连网下载很多文件，等待一段时间后，复制
E:softelkelasticsearch-analysis-ik-master arget eleases 下面的.zip文件到 ES目录/plugins/ 下面，在这个目录下创建ik文件夹，把elasticsearch-analysis-ik-{version}.zip 文件解压到ik下，目录结构如下：
重新启动ES服务
Tips：
ik_max_word: 会将文本做最细粒度的拆分，比如会将"中华人民共和国国歌"拆分为"中华人民共和国,中华人民,中华,华人,人民共和国,人民,人,民,共和国,共和,和,国国,国歌"，会穷尽各种可能的组合；
ik_smart: 会做最粗粒度的拆分，比如会将"中华人民共和国国歌"拆分为"中华人民共和国,国歌"。
测试中文: 如果没有索引新创建一个，结过测试ik和ik_max_word值是一样的
测试url格式：http://localhost:9200/索引名称/_analyze?analyzer=ik&text=中华人民共和国国歌
http://localhost:9200/_analyze?analyzer=ik&text=System.Xml.XmlReaderSettings.CreateReader
浏览器中输入如下：
http://localhost:9200/logstash-log4input-2016.04.26/_analyze?analyzer=ik&text=中华人民共和国国歌
结果
{"tokens":[{"token":"中华人民共和国","start_offset":0,"end_offset":7,"type":"CN_WORD","position":0},{"token":"中华人民","start_offset":0,"end_offset":4,"type":"CN_WORD","position":1},{"token":"中华","start_offset":0,"end_offset":2,"type":"CN_WORD","position":2},{"token":"华人","start_offset":1,"end_offset":3,"type":"CN_WORD","position":3},{"token":"人民共和国","start_offset":2,"end_offset":7,"type":"CN_WORD","position":4},{"token":"人民","start_offset":2,"end_offset":4,"type":"CN_WORD","position":5},{"token":"共和国","start_offset":4,"end_offset":7,"type":"CN_WORD","position":6},{"token":"共和","start_offset":4,"end_offset":6,"type":"CN_WORD","position":7},{"token":"国","start_offset":6,"end_offset":7,"type":"CN_CHAR","position":8},{"token":"国歌","start_offset":7,"end_offset":9,"type":"CN_WORD","position":9}]}
浏览器中输入如下：
结果：
{"tokens":[{"token":"system.xml.xmlreadersettings.createreader","start_offset":0,"end_offset":41,"type":"LETTER","position":0},{"token":"system","start_offset":0,"end_offset":6,"type":"ENGLISH","position":1},{"token":"xml","start_offset":7,"end_offset":10,"type":"ENGLISH","position":2},{"token":"xmlreadersettings","start_offset":11,"end_offset":28,"type":"ENGLISH","position":3},{"token":"createreader","start_offset":29,"end_offset":41,"type":"ENGLISH","position":4}]}
在实际项目中使用这个分词，es的字段类型生成后将不能修改，所以要在数据进入es之前设置mapping，采用索引模板的方式设置字段类型
地址：http://localhost:9200/_template/
名称:logstashlog4j
Method:PUT
设置所有索引名称为logstash-log4input-*的，message字段分词采用ik_max_word
{
"template": "logstash-log4input-*",
"mappings": {
"log4-input": {
"properties": {
"message": {
"type": "string",
"analyzer": "ik_max_word",
"search_analyzer": "ik_max_word"
}
}
}
}
}
向elasticsearch中输入数据，测试查询如下：
