elasticsearch扩展ik和pinyin插件的docker镜像，适合直接对生产环境进行部署。
- elasticsearch -> 5.1.1
- ik -> 5.1.1
- lc-pinyin -> 5.1.1
- docker
- docker-compose
- npm (因为作者是
nodejs使用者，所以习惯使用npm进行命令管理，也可以直接使用docker-compose cli)
- Clone project
$ git clone https://github.com/TalkWIthKeyboard/predictor-word.git - Build image
$ npm run build PUT localhost:9200/index { "settings": { "analysis": { "analyzer": { // 汉语转拼音首字母分词 "ik_letter_smart": { "type": "custom", "tokenizer": "ik_max_word", "filter": [ "lc_first_letter" ] }, // 汉语转拼音全拼分词 "ik_py_smart": { "type": "custom", "tokenizer": "ik_max_word", "filter": [ "lc_full_pinyin" ] }, // 汉语分词 "ik_china_english_smart": { "type": "custom", "tokenizer": "ik_max_word", "filter": [ "stemmer" ] } } } } } GET localhost:9200/index/_analyze?analyzer=ik_china_english_smart&text=hello你好 { "tokens": [ { "token": "hello", "start_offset": 0, "end_offset": 5, "type": "ENGLISH", "position": 0 }, { "token": "你好", "start_offset": 5, "end_offset": 7, "type": "CN_WORD", "position": 1 } ] } GET localhost:9200/index/_analyze?analyzer=ik_letter_smart&text=hello你好 { "tokens": [ { "token": "hello", "start_offset": 0, "end_offset": 5, "type": "ENGLISH", "position": 0 }, { "token": "nh", "start_offset": 5, "end_offset": 7, "type": "CN_WORD", "position": 1 } ] } GET localhost:9200/index/_analyze?analyzer=ik_china_english_smart&text=hello你好 { "tokens": [ { "token": "hello", "start_offset": 0, "end_offset": 5, "type": "ENGLISH", "position": 0 }, { "token": "nihao", "start_offset": 5, "end_offset": 7, "type": "CN_WORD", "position": 1 } ] } - 因为作者是将该镜像部署到廉价腾讯云服务器使用，所以对
elasticsearch的内存使用进行了限制（默认是2G），如果有充分的资源可以注释掉docker-compose.yml中的ES_JAVA_OPTS: -Xms512m -Xmx512m - 关闭了访问需要登录的设置：
xpack.security.enabled - 添加新的分析器：
- 关闭
indexPOST localhost:9200/index/_close - 添加分析器
PUT localhost:9200/index/_settings { "analysis": { "analyzer": { "newAnalyzer": { "type": "custom", "tokenizer": "ik_max_word", } } } } - 开启
indexPOST localhost:9200/index/_open
- 关闭