IK中文分词器在Elasticsearch上的使用。原生IK中文分词是从文件系统中读取词典，es-ik本身可扩展成从不同的源读取词典。目前提供从sqlite3数据库中读取。es-ik-plugin-sqlite3使用方法：
1.在elasticsearch.yml中设置你的sqlite3词典的位置：
ik_analysis_db_path: /opt/ik/dictionary.db我提供了默认的词典：https://github.com/zacker330/es-ik-sqlite3-dictionary
2.安装（目前是1.0.1版本）
./bin/plugin -i ik-analysis -u https://github.com/zacker330/es-ik-plugin-sqlite3-release/raw/master/es-ik-sqlite3-1.0.1.zip3.现在可以测试了：
1.创建index
curl -X PUT -H "Cache-Control: no-cache" -d '{ "settings":{ "index":{ "number_of_shards":1, "number_of_replicas": 1 } }}' 'https://localhost:9200/songs/'2.创建map:
curl -X PUT -H "Cache-Control: no-cache" -d '{ "song": { "_source": {"enabled": true}, "_all": { "indexAnalyzer": "ik_analysis", "searchAnalyzer": "ik_analysis", "term_vector": "no", "store": "true" }, "properties":{ "title":{ "type": "string", "store": "yes", "indexAnalyzer": "ik_analysis", "searchAnalyzer": "ik_analysis", "include_in_all": "true" } } }} ' 'https://localhost:9200/songs/_mapping/song'3.
curl -X POST -d '林夕为我们作词' 'https://localhost:9200/songs/_analyze?analyzer=ik_analysis'response:{"tokens":[{"token":"林夕","start_offset":0,"end_offset":2,"type":"CN_WORD","position":1},{"token":"作词","start_offset":5,"end_offset":7,"type":"CN_WORD","position":2}]}
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