1. 业务场景概述
目标是实现一个公司的申请审批流程，整个业务流程涉及到两种角色，分别为
商务
角色与
管理员
角色。整个流程如下图所示：
流程图
核心流程总结为一句话：
商务角色申请添加公司后由管理员进行审批
。
商务在添加公司时，可能为了方便，直接填写公司简称，而公司全称可能之前已经被添加过了，
为了防止添加重复的公司
，所以管理员在针对公司信息审批之前，需要查看以往添加的公司信息里有无同一个公司。
2. 实现思路
以上是一个业务场景的大概介绍。从技术层面需要考虑实现的功能点：
分词功能有现成的分词器，所以整个需求的核心重点在于
如何与数据库中的数据匹配并按照匹配度排序
。
3. 模糊匹配技术选型
本系统规模较小，单纯为了实现这个功能引入ES成本较大，还要涉及到数据同步等问题，
系统复杂性会提高
，所以尽量使用
MySQL
已有的功能进行实现。
MySQL提供了以下三种
模糊搜索
的方式：
-
like匹配
：要求模式串与整个目标字段完全匹配；
-
RegExp正则匹配
：要求目标字段包含模式串即可；
-
Fulltext全文索引
：在字段类型为
CHAR
,
VARCHAR
，
TEXT
的列上创建全文索引，执行SQL进行查询。
针对于上述业务场景，对相关技术进行优劣分析：
-
-
全文索引
：可定制性差，不支持任意匹配查询，
pass
；
-
正则匹配
：可实现任意模式匹配，缺点在于执行效率不如全文索引。
针对于这个场景，记录数目相对来说没有那么多，所以对于效率稍低的结果可以接受，因此技术选型方面采用
RegExp正则匹配
来实现
模糊匹配
的需求。
4. 实现效果展示
5. 核心代码
整个逻辑基于
提取公司名称关键信息 -->分词 --> 匹配
三个核心步骤。
5.1 提取公司关键信息
对输入的公司名称去除
无用信息
，保留关键信息。这里的无用信息指的是地名，圆括号，以及集团，股份，有限等。
/**
* 匹配前去除公司名称的无意义信息
* @param targetCompanyName
* @return
*/
private String formatCompanyName(String targetCompanyName){
String regex = "(?[^省]+自治区|.*?省|.*?行政区|.*?市)" +
"?(?[^市]+自治州|.*?地区|.*?行政单位|.+盟|市辖区|.*?市|.*?县)" +
"?(?[^(区|市|县|旗|岛)]+区|.*?市|.*?县|.*?旗|.*?岛)" +
"?(?.*)";
Matcher matcher = Pattern.compile(regex).matcher(targetCompanyName);
while(matcher.find()){
String province = matcher.group("province");
log.info("province:{}",province);
if (StringUtils.isNotBlank(province) && targetCompanyName.contains(province)){
targetCompanyName = targetCompanyName.replace(province,"");
}
log.info("处理完省份的公司名称:{}",targetCompanyName);
String city = matcher.group("city");
log.info("city:{}",city);
if (StringUtils.isNotBlank(city) && targetCompanyName.contains(city)){
targetCompanyName = targetCompanyName.replace(city,"");
}
log.info("处理完城市的公司名称:{}",targetCompanyName);
String county = matcher.group("county");
log.info("county:{}",county);
if (StringUtils.isNotBlank(county) && targetCompanyName.contains(county)){
targetCompanyName = targetCompanyName.replace(county,"");
}
log.info("处理完区县级的公司名称:{}",targetCompanyName);
}
String[][] address = AddressUtil.ADDRESS;
for (String [] city: address) {
for (String b : city ) {
if (targetCompanyName.contains(b)){
targetCompanyName = targetCompanyName.replace(b, "");
}
}
}
log.info("处理后的公司名称:{}",targetCompanyName);
return targetCompanyName;
}
public class AddressUtil {
public static final String[][] ADDRESS = {
{"北京"},
{"天津"},
{"安徽","安庆","蚌埠","亳州","巢湖","池州","滁州","阜阳","合肥","淮北","淮南","黄山","六安","马鞍山","宿州","铜陵","芜湖","宣城"},
{"澳门"},
{"香港"},
{"福建","福州","龙岩","南平","宁德","莆田","泉州","厦门","漳州"},
{"甘肃","白银","定西","甘南藏族自治州","嘉峪关","金昌","酒泉","兰州","临夏回族自治州","陇南","平凉","庆阳","天水","武威","张掖"},
{"广东","潮州","东莞","佛山","广州","河源","惠州","江门","揭阳","茂名","梅州","清远","汕头","汕尾","韶关","深圳","阳江","云浮","湛江","肇庆","中山","珠海"},
{"广西","百色","北海","崇左","防城港","贵港","桂林","河池","贺州","来宾","柳州","南宁","钦州","梧州","玉林"},
{"贵州","安顺","毕节地区","贵阳","六盘水","黔东南苗族侗族自治州","黔南布依族苗族自治州","黔西南布依族苗族自治州","铜仁地区","遵义"},
{"海南","海口","三亚","直辖县级行政区划"},
{"河北","保定","沧州","承德","邯郸","衡水","廊坊","秦皇岛","石家庄","唐山","邢台","张家口"},
{"河南","安阳","鹤壁","焦作","开封","洛阳","漯河","南阳","平顶山","濮阳","三门峡","商丘","新乡","信阳","许昌","郑州","周口","驻马店"},
{"黑龙江","大庆","大兴安岭地区","哈尔滨","鹤岗","黑河","鸡西","佳木斯","牡丹江","七台河","齐齐哈尔","双鸭山","绥化","伊春"},
{"湖北","鄂州","恩施土家族苗族自治州","黄冈","黄石","荆门","荆州","十堰","随州","武汉","咸宁","襄樊","孝感","宜昌"},
{"湖南","长沙","常德","郴州","衡阳","怀化","娄底","邵阳","湘潭","湘西土家族苗族自治州","益阳","永州","岳阳","张家界","株洲"},
{"吉林","白城","白山","长春","吉林","辽源","四平","松原","通化","延边朝鲜族自治州"},
{"江苏","常州","淮安","连云港","南京","南通","苏州","宿迁","泰州","无锡","徐州","盐城","扬州","镇江"},
{"江西","抚州","赣州","吉安","景德镇","九江","南昌","萍乡","上饶","新余","宜春","鹰潭"},
{"辽宁","鞍山","本溪","朝阳","大连","丹东","抚顺","阜新","葫芦岛","锦州","辽阳","盘锦","沈阳","铁岭","营口"},
{"内蒙古","阿拉善盟","巴彦淖尔","包头","赤峰","鄂尔多斯","呼和浩特","呼伦贝尔","通辽","乌海","乌兰察布","锡林郭勒盟","兴安盟"},
{"宁夏回族","固原","石嘴山","吴忠","银川","中卫"},
{"青海","果洛藏族自治州","海北藏族自治州","海东地区","海南藏族自治州","海西蒙古族藏族自治州","黄南藏族自治州","西宁","玉树藏族自治州"},
{"山东","滨州","德州","东营","菏泽","济南","济宁","莱芜","聊城","临沂","青岛","日照","泰安","威海","潍坊","烟台","枣庄","淄博"},
{"山西","长治","大同","晋城","晋中","临汾","吕梁","朔州","太原","忻州","阳泉","运城"},
{"陕西","安康","宝鸡","汉中","商洛","铜川","渭南","西安","咸阳","延安","榆林"},
{"上海"},
{"四川","阿坝藏族羌族自治州","巴中","成都","达州","德阳","甘孜藏族自治州","广安","广元","乐山","凉山彝族自治州","泸州","眉山","绵阳","内江","南充","攀枝花","遂宁","雅安","宜宾","资阳","自贡"},
{"西藏","阿里地区","昌都地区","拉萨","林芝地区","那曲地区","日喀则地区","山南地区"},
{"新疆维吾尔","阿克苏地区","阿勒泰地区","巴音郭楞蒙古自治州","博尔塔拉蒙古自治州","昌吉回族自治州","哈密地区","和田地区","喀什地区","克拉玛依","克孜勒苏柯尔克孜自治州","塔城地区","吐鲁番地区","乌鲁木齐","伊犁哈萨克自治州","直辖县级行政区划"},
{"云南","保山","楚雄彝族自治州","大理白族自治州","德宏傣族景颇族自治州","迪庆藏族自治州","红河哈尼族彝族自治州","昆明","丽江","临沧","怒江僳僳族自治州","普洱","曲靖","文山壮族苗族自治州","西双版纳傣族自治州","玉溪","昭通"},
{"浙江","杭州","湖州","嘉兴","金华","丽水","宁波","衢州","绍兴","台州","温州","舟山"},
{"重庆"},
{"台湾","台北","高雄","基隆","台中","台南","新竹","嘉义"},
};
}
5.2 分词相关代码
<dependency>
<groupId>com.janeluogroupId>
<artifactId>ikanalyzerartifactId>
<version>2012_u6version>
<exclusions>
<exclusion>
<groupId>org.apache.lucenegroupId>
<artifactId>lucene-coreartifactId>
exclusion>
<exclusion>
<groupId>org.apache.lucenegroupId>
<artifactId>lucene-queryparserartifactId>
exclusion>
<exclusion>
<groupId>org.apache.lucenegroupId>
<artifactId>lucene-analyzers-commonartifactId>
exclusion>
exclusions>
dependency>
<dependency>
<groupId>org.apache.lucenegroupId>
<artifactId>lucene-queryparserartifactId>
<version>7.3.0version>
dependency>
-
IKAnalyzerSupport类：用于配置分词器
@Slf4j
public class IKAnalyzerSupport {
/**
* IK分词
* @param target
* @return
*/
public static List iKSegmenterToList(String target) throws Exception {
if (StringUtils.isEmpty(target)){
return new ArrayList();
}
List result = new ArrayList<>();
StringReader sr = new StringReader(target);
