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Status](https://travis-ci.org/chankamlam/chinese-search.svg?branch=master)](https://travis-ci.org/chankamlam/chinese-search)\n[![codecov](https://codecov.io/gh/chankamlam/chinese-search/branch/master/graph/badge.svg)](https://codecov.io/gh/chankamlam/chinese-search)\n[![Codacy Badge](https://api.codacy.com/project/badge/Grade/8580c5b7b0f147518bf6a1feccd5ef45)](https://app.codacy.com/app/chankamlam/chinese-search?utm_source=github.com&utm_medium=referral&utm_content=chankamlam/chinese-search&utm_campaign=Badge_Grade_Dashboard)\n[![MIT Licence](https://badges.frapsoft.com/os/mit/mit.svg?v=103)](https://opensource.org/licenses/mit-license.php)\n[![author](https://img.shields.io/badge/author-chankamlam-blue.svg)](https://github.com/chankamlam)\n# 简介\nChinese-Search is a full text search in chinese,base on nodejieba and redis, support to using sql pull data from mysql,\nand it is easy, small and fast.\n\nChinese-Search 是一个全文检索组件,基层实现依赖nodejieba中文分词和redis存储。\n\n# 安装\n\n```js\n\n    npm i chinese-search -s\n\n```\n\n# 测试\n\n```\n\n   npm i\n   npm run test\n\n```\n\n# 下一个版本 what is the next\n\nplanning to support oracle/mssql in the next version\n\n下一个版本即将支持oracle/mssql数据库，直接导入数据作为检索数据\n\n# 使用\n\n```js\n\n    ## ES5\n    var search = require('chinese-search');\n\n    ## ES6\n    import search from 'chinese-search'\n\n    var data = [{\n        'name': 'C#权威指南-full',\n        'title': 'C#权威指南是一本C#进阶学习最好的书籍。',\n        'author':'ken',\n        'id': 1\n    }, {\n        'name': 'C++权威指南-full',\n        'title': 'A',\n        'author':'ken',\n        'id': 2\n    }, {\n        'name': 'PHP权威指南-full',\n        'title': 'B',\n        'author':'ken',\n        'id': 3\n    }]\n\n    // [1]启动Redis服务，然后填入数据。\n    const s = new search.Engine({\n      cache:{\n        host:'127.0.0.1',\n        port:3679,\n        type:'redis'\n      }\n    })\n\n    s.cutKeys(['name','title'])   // 声明分词的KEY\n    .initData(data,(err,r) => {\n           if(err){\n              console.error(err)\n              return\n           }\n           // 全文检索\n            s\n             .returnKeys(['name','title','id']) // 声明数据返回包含KEY\n             .query(['A'],(err,r)=>{            // 关键字数组\n               if (err) {\n                 console.error(err);\n                      return\n               };\n                  console.log(r);   \n                // 结果：[ { name: 'C++权威指南-full', title: 'A', id: 2 } ]\n            })\n    })\n    // [2]启动Redis服务，mysql数据库，使用sql语句填入数据。\n    let sql = 'select * from book'\n    let opt = {cache:{\n        'host': '127.0.0.1',\n        'port': 6379\n    },\n    data:{\n        host:'127.0.0.1',\n        port:3306,\n        db:'test',\n        user:'root',\n        pwd:'Ken5201314',\n        type:'mysql'\n    }}\n    const s = new search.Engine(opt)\n    s.cutKeys(['name','title'])\n        .initData(sql,(err, r) => {\n          if(err){\n             console.error(err)\n             return\n          }\n          // 全文检索\n           s\n            .returnKeys(['name','title','id']) // 声明数据返回包含KEY\n            .query(['A'],(err,r)=>{            // 关键字数组\n              if (err) {\n                console.error(err);\n                return\n              };\n                console.log(r);   \n               // 结果：[ { name: 'C++权威指南-full', title: 'A', id: 2 } ]\n           })\n        })\n\n\n```\n# API\n\n### cutKeys()\n```js\n\n    // 声明分词的KEY，这步是必须的，否则报错\n    s.cutKeys(['name','title'])\n\n    // 假如被分词数据没有某个KEY，将略过\n    s.cutKeys(['name','title','description'])\n\n```\n\n### intData()\n```js\n\n    var s = new search.Engine({'host':'127.0.0.1','port':4000})\n            .cutKeys(['name','title'])   // 声明分词的KEY\n            .initData(data,(err,r) => {      // data必须是个数组\n                   if(err){\n                        // 错误处理\n                      return\n                   }\n                         // 正常在这里可以使用query()\n                         //\n                })\n\n```\n\n### appendData()\n```js\n\n    // 重声明分词的KEY并追加被检索数据\n     s.cutKeys(['name']) // 重声明分词的KEY，非重声明则按照初始化设定\n      .appendData([{\n        'name': 'NodeJS权威指南',\n        'title': 'NodeJS',\n        'author':'ken',\n        'id': 4\n      }])\n\n```\n\n### returnKeys()\n```js\n\n     // 声明数据返回包含KEY\n     s.returnKeys(['name','title','id'])\n     .query(['A'],(err,r)=>{\n        if (err) {\n            console.log(err);\n            return\n        };\n        // 结果：[ { name: 'AAA', title: 'A', id: 2 } ]\n        console.log(r);   \n    })\n\n    // 声明数据返回包含KEY\n    s.returnKeys(['name'])\n     .query(['A'],(err,r)=>{\n        if (err) {\n            console.log(err);\n            return\n        };\n        // 结果：[ { name: 'AAA' } ]\n        console.log(r);   \n    })\n\n    // 没有声明数据返回包含KEY，则返回所有\n    s.query(['A'],(err,r)=>{\n        if (err) {\n            console.log(err);\n            return\n        };\n        // 结果：[ { name: 'AAA', title: 'A', id: 2}]\n        console.log(r);   \n    })\n\n```\n### query()\n```js\n\n    // 根据关键字数组查询\n    s.query(['A','B'],(err,r)=>{\n        if (err) {\n            console.log(err);\n            return\n        };\n        // 结果：[ { name: 'AAA', title: 'YYYYY', id: 2} } ,{ name: 'BBB', title: 'XXXXXX', id: 1}} ]\n        console.log(r);   \n    })\n\n    // 根据关键字数组查询\n    s.query(['A'],(err,r)=>{\n        if (err) {\n            console.log(err);\n            return\n        };\n        // 结果：[ { name: 'AAA', title: 'YYYYY', id: 2} }]\n        console.log(r);   \n    })\n\n```\n# author\n\n  author : chankamlam(Ken)\n\n  Email : 919125189@qq.com\n\n\n# license\n```js\n\n   MIT\n\n```\n","maintainers":[{"name":"chankamlam","email":"919125189@qq.com"}],"time":{"modified":"2022-04-12T06:11:08.088Z","created":"2017-09-10T10:49:13.391Z","1.0.0":"2017-09-10T10:49:13.391Z","1.0.1":"2017-09-10T10:51:39.506Z","1.0.2":"2017-09-10T10:55:30.468Z","1.0.3":"2017-09-10T10:59:41.317Z","1.0.4":"2017-09-10T11:02:32.479Z","1.0.5":"2017-09-10T11:03:36.025Z","1.0.6":"2017-09-10T13:01:53.380Z","1.0.7":"2017-09-10T13:03:01.164Z","1.0.8":"2017-09-10T13:06:57.945Z","1.0.9":"2017-09-10T13:10:11.359Z","1.0.10":"2017-09-10T13:14:05.691Z","1.0.11":"2017-09-10T13:23:18.195Z","1.0.12":"2017-09-10T13:33:14.234Z","1.0.13":"2017-09-10T16:55:32.332Z","1.0.14":"2017-09-10T17:32:53.874Z","1.0.15":"2017-09-19T17:40:44.658Z","1.0.16":"2017-09-24T21:43:07.300Z","1.1.0":"2019-03-24T10:54:31.399Z","1.1.1":"2019-03-24T11:07:31.581Z","1.1.2":"2019-03-24T11:19:24.622Z","1.1.3":"2019-03-24T11:23:09.024Z","1.1.4":"2019-03-24T11:24:01.144Z","1.1.5":"2019-04-10T14:17:33.758Z","1.1.6":"2019-04-10T15:34:07.781Z","1.1.7":"2019-04-10T15:35:54.480Z","1.1.8":"2019-04-10T15:56:12.030Z","1.1.9":"2019-04-10T15:58:44.206Z"},"author":{"name":"chankamlam","email":"919125189@qq.com"},"license":"MIT","readmeFilename":"README.md","homepage":"https://github.com/chankamlam/chinese-search#readme","repository":{"type":"git","url":"git+https://github.com/chankamlam/chinese-search.git"},"bugs":{"url":"https://github.com/chankamlam/chinese-search/issues"},"keywords":["fullTextSearchEngine","ChineseSearchEngine","中文全文检索引擎","全文搜索","SearchEngine"]}