【netcore基础】.Net core通过 Lucene.Net 和 jieba.NET 处理分词搜索功能

业务要求是对商品标题可以进行模糊搜索

例如用户输入了【我想查询下雅思托福考试】，这里我们需要先将这句话分词成【查询】【雅思】【托福】【考试】，然后搜索包含相关词汇的商品。

思路如下

首先我们需要把数据库里的所有商品内容，自动同步到 Lucene 的分词索引目录下缓存，效果如下

这里就用到了之前写的自动作业 Hangfire 大家可以参考下面的博文

https://www.cnblogs.com/jhli/p/10027074.html

定时更新缓存，后面就可以分词搜索了，更新索引代码如下

        public void UpdateMerchIndex()

        {

            try

            {

                Console.WriteLine($"[{DateTime.Now}] UpdateMerchIndex job begin...");

                var indexDir = Path.Combine(System.IO.Directory.GetCurrentDirectory(), "temp", "lucene", "merchs");

                if (System.IO.Directory.Exists(indexDir) == false)

                {

                    System.IO.Directory.CreateDirectory(indexDir);

                }

                var VERSION = Lucene.Net.Util.LuceneVersion.LUCENE_48;

                var director = FSDirectory.Open(new DirectoryInfo(indexDir));

                var analyzer = new JieBaAnalyzer(TokenizerMode.Search);

                var indexWriterConfig = new IndexWriterConfig(VERSION, analyzer);

                using (var indexWriter = new IndexWriter(director, indexWriterConfig))

                {

                    if (File.Exists(Path.Combine(indexDir, "segments.gen")) == true)

                    {

                        indexWriter.DeleteAll();

                    }

                    var query = _merchService.Where(t => t.IsDel == false);

                    var index = ;

                    var size = ;

                    var count = query.Count();

                    if (count > )

                    {

                        while (true)

                        {

                            var rs = query.OrderBy(t => t.CreateTime)

                            .Skip((index - ) * size)

                            .Take(size).ToList();

                            if (rs.Count == )

                            {

                                break;

                            }

                            var addDocs = new List<Document>();

                            foreach (var item in rs)

                            {

                                var merchid = item.IdentityId.ToLowerString();

                                var doc = new Document();

                                var field1 = new StringField("merchid", merchid, Field.Store.YES);

                                var field2 = new TextField("name", item.Name?.ToLower(), Field.Store.YES);

                                doc.Add(field1);

                                doc.Add(field2);

                                addDocs.Add(doc);// 添加文本到索引中

                            }

                            if (addDocs.Count > )

                            {

                                indexWriter.AddDocuments(addDocs);

                            }

                            index = index + ;

                        }

                    }

                }

                Console.WriteLine($"[{DateTime.Now}] UpdateMerchIndex job end!");

            }

            catch (Exception ex)

            {

                Console.WriteLine($"UpdateMerchIndex ex={ex}");

            }

        }

剩下的就是去查询索引内容，匹配到id，然后去数据库查询响应id的项。

搜索代码

        protected List<Guid> SearchMerchs(string key)

        {

            if (string.IsNullOrEmpty(key))

            {

                return null;

            }

            key = key.Trim().ToLower();

            var rs = new List<Guid>();

            try

            {

                var indexDir = Path.Combine(System.IO.Directory.GetCurrentDirectory(), "temp", "lucene", "merchs");

                var VERSION = Lucene.Net.Util.LuceneVersion.LUCENE_48;

                if (System.IO.Directory.Exists(indexDir) == true)

                {

                    var reader = DirectoryReader.Open(FSDirectory.Open(new DirectoryInfo(indexDir)));

                    var search = new IndexSearcher(reader);

                    var directory = FSDirectory.Open(new DirectoryInfo(indexDir), NoLockFactory.GetNoLockFactory());

                    var reader2 = IndexReader.Open(directory);

                    var searcher = new IndexSearcher(reader2);

                    var parser = new QueryParser(VERSION, "name", new JieBaAnalyzer(TokenizerMode.Search));

                    var booleanQuery = new BooleanQuery();

                    var list = CutKeyWord(key);

                    foreach (var word in list)

                    {

                        var query1 = new TermQuery(new Term("name", word));

                        booleanQuery.Add(query1, Occur.SHOULD);

                    }

                    var collector = TopScoreDocCollector.Create(, true);

                    searcher.Search(booleanQuery, null, collector);

                    var docs = collector.GetTopDocs(, collector.TotalHits).ScoreDocs;

                    foreach (var d in docs)

                    {

                        var num = d.Doc;

                        var document = search.Doc(num);// 拿到指定的文档

                        var merchid = document.Get("merchid");

                        var name = document.Get("name");

                        if (Guid.TryParse(merchid, out Guid mid) == true)

                        {

                            rs.Add(mid);

                        }

                    }

                }

            }

            catch (Exception ex)

            {

                Console.WriteLine($"SearchMerchs ex={ex}");

            }

            return rs;

        }

对用户输入的话进行拆分分词代码 JiebaNet

        protected List<string> CutKeyWord(string key)

        {

            var rs = new List<string>();

            var segmenter = new JiebaSegmenter();

            var list = segmenter.Cut(key);

            if (list != null && list.Count() > )

            {

                foreach (var item in list)

                {

                    if (string.IsNullOrEmpty(item) || item.Length <= )

                    {

                        continue;

                    }

                    rs.Add(item);

                }

            }

            return rs;

        }

需要添加的 nuget 引用的包和对应版本

Hangfire 1.7.0-beta1

Lucene.Net 4.8.0-beta00005

Lucene.Net.Analysis.Common 4.8.0-beta00005

Lucene.Net.QueryParser 4.8.0-beta00005

需要单独引用的dll文件

JiebaNet.Segmenter.dll

下载地址

https://pan.baidu.com/s/1D7mQnow0FmoqedNYzugfKw

如果本地调试没有问题，发布到服务器上自动执行作业就遇到这个问题

https://stackoverflow.com/questions/47746582/hangfire-job-throws-system-typeloadexception

System.TypeLoadException

Could not load type ‘***’ from assembly ‘***, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null’.

其实这个报错并不是原因，把异常打印出来就知道了

原因是没有将 Resources 文件夹下的字典文件 dict.txt 发布到服务器上

这个坑让我浪费了半天时间。。。

巴特西

【netcore基础】.Net core通过 Lucene.Net 和 jieba.NET 处理分词搜索功能

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