public ActionResult RemeoveDraw(int id)
{
UserInfo user = CurrentLoginUser;
var good = GoodsServices.LoadEntities(u => u.Id == id && u.UserInfoId == user.Id).FirstOrDefault();
good.DelGlag = normal;
try
{
GoodsServices.Update(good);
#region Lucnen创建索引
JobSerach search = new JobSerach();
search.Id = good.Id;
search.Title = good.Title;
search.Price = (double)good.Price;
search.ImageAddress = good.SmallImageAddress;
search.Content = good.Descript;
search.MaiDian = good.MaiDian;
IndexManager.myManager.Add(search);
#endregion
return(Content("ok"));
}
catch (Exception)
{
return(Content("删除失败！请联系管理员"));
}
}
/// <summary>
/// 删除索引项
/// </summary>
/// <param name="id"></param>
public void Delete(int id)
{
JobSerach job = new JobSerach();
job.Id = id;
job.JobType = JobType.Delete;
queue.Enqueue(job);
}
public ActionResult EditGoods(Goods good, SaleInfo sale, int GoodId, int SaleId)
{
var oldgood = GoodsServices.LoadEntities(u => u.Id == GoodId).FirstOrDefault();
oldgood.Title = good.Title;
oldgood.Price = good.Price;
oldgood.MaiDian = good.MaiDian;
oldgood.LaiYuan = good.LaiYuan;
oldgood.SmallImageAddress = good.SmallImageAddress;
oldgood.BigImageAddress = good.BigImageAddress;
oldgood.Count = good.Count;
oldgood.Descript = good.Descript;
oldgood.Type = good.Type;
good.Id = GoodId;
var oldsale = SaleInfoServices.LoadEntities(u => u.GoodsId == GoodId).FirstOrDefault();
oldsale.PhoneNum = sale.PhoneNum;
oldsale.QQ = sale.QQ;
oldsale.RealName = sale.RealName;
oldsale.Address = sale.Address;
oldsale.Id = SaleId;
try
{
SaleInfoServices.Update(oldsale);
GoodsServices.Update(oldgood);
#region Luncene创建索引
JobSerach search = new JobSerach();
search.Id = good.Id;
search.Title = good.Title;
search.Price = (double)good.Price;
search.ImageAddress = good.SmallImageAddress;
search.Content = good.Descript;
search.MaiDian = good.MaiDian;
IndexManager.myManager.Add(search);
#endregion
return(Content("信息更新成功"));
}
catch (Exception)
{
return(Content("信息更新失败，请按照格式输入"));
}
}
public void InsertIndex()
{
string indexPath = LunceneHelper.lucenePath; //注意和磁盘上文件夹的大小写一致，否则会报错。将创建的分词内容放在该目录下。
FSDirectory directory = FSDirectory.Open(new DirectoryInfo(indexPath), new NativeFSLockFactory()); //指定索引文件(打开索引目录) FS指的是就是FileSystem
bool isUpdate = IndexReader.IndexExists(directory); //IndexReader:对索引进行读取的类。该语句的作用：判断索引库文件夹是否存在以及索引特征文件是否存在。
if (isUpdate)
{
//同时只能有一段代码对索引库进行写操作。当使用IndexWriter打开directory时会自动对索引库文件上锁。
//如果索引目录被锁定（比如索引过程中程序异常退出），则首先解锁（提示一下：如果我现在正在写着已经加锁了，但是还没有写完，这时候又来一个请求，那么不就解锁了吗？这个问题后面会解决）
if (IndexWriter.IsLocked(directory))
{
IndexWriter.Unlock(directory);
}
}
IndexWriter writer = new IndexWriter(directory, new PanGuAnalyzer(), !isUpdate, Lucene.Net.Index.IndexWriter.MaxFieldLength.UNLIMITED);//向索引库中写索引。这时在这里加锁。
while (queue.Count > 0)
{
JobSerach job = queue.Dequeue(); //出队
writer.DeleteDocuments(new Term("id", job.Id.ToString())); //删除索引库中原有的文档.
if (job.JobType == JobType.Delete) //表示从队列中取出来的是删除任务.
{
continue;
}
Document document = new Document();//表示一篇文档。
//Field.Store.YES:表示是否存储原值。只有当Field.Store.YES在后面才能用doc.Get("number")取出值来.Field.Index. NOT_ANALYZED:不进行分词保存
document.Add(new Field("Id", job.Id.ToString(), Field.Store.YES, Field.Index.NOT_ANALYZED));
//Field.Index. ANALYZED:进行分词保存:也就是要进行全文的字段要设置分词 保存（因为要进行模糊查询）
//Lucene.Net.Documents.Field.TermVector.WITH_POSITIONS_OFFSETS:不仅保存分词还保存分词的距离。
document.Add(new Field("Title", job.Title, Field.Store.YES, Field.Index.ANALYZED, Lucene.Net.Documents.Field.TermVector.WITH_POSITIONS_OFFSETS));
document.Add(new Field("Price", job.Price.ToString(), Field.Store.YES, Field.Index.NOT_ANALYZED));
document.Add(new Field("ImageAddress", job.ImageAddress, Field.Store.YES, Field.Index.NOT_ANALYZED));
document.Add(new Field("Content", job.Content, Field.Store.YES, Field.Index.ANALYZED, Lucene.Net.Documents.Field.TermVector.WITH_POSITIONS_OFFSETS));
document.Add(new Field("MaiDian", job.MaiDian, Field.Store.YES, Field.Index.ANALYZED, Lucene.Net.Documents.Field.TermVector.WITH_POSITIONS_OFFSETS));
writer.AddDocument(document);
}
writer.Close(); //会自动解锁。
directory.Close(); //不要忘了Close，否则索引结果搜不到
}
public ActionResult AddGoods(Goods good, SaleInfo sale)
{
UserInfo user = CurrentLoginUser;
if (user == null)
{
return(Redirect("/Account/login"));
}
good.DelGlag = normal;
good.SubTime = DateTime.Now;
var shops = ListShopsServices.LoadEntities(u => u.UserInfoId == CurrentLoginUser.Id).FirstOrDefault();
good.ShopingId = shops.Id;
try
{
GoodsServices.Add(user, good, sale);
#region Luncene创建索引
JobSerach search = new JobSerach();
search.Id = good.Id;
search.Title = good.Title;
search.Price = (double)good.Price;
search.ImageAddress = good.SmallImageAddress;
search.Content = good.Descript;
search.MaiDian = good.MaiDian;
IndexManager.myManager.Add(search);
#endregion
return(Content("ok"));
}
catch (Exception)
{
return(Content("数据错误，请联系管理员"));
throw;
}
}
//搜索包含关键词
public static List <JobSerach> SearchContent(string kw, int index, int skipCount)
{
//string indexPath = lucenePath;//最好将该项放在配置文件中。
kw = kw.ToLower();
FSDirectory directory = FSDirectory.Open(new DirectoryInfo(lucenePath), new NoLockFactory());
IndexReader reader = IndexReader.Open(directory, true);
IndexSearcher searcher = new IndexSearcher(reader);
//搜索条件
PhraseQuery query = new PhraseQuery();
foreach (string word in SplitWord(kw))//将用户输入的搜索内容进行了盘古分词、
{
query.Add(new Term("Title", word));
//query.Add(new Term("Content", word));
//query.Add(new Term("MaiDian", word));
}
query.SetSlop(100);//多个查询条件的词之间的最大距离.在文章中相隔太远 也就无意义.（例如 “大学生”这个查询条件和"简历"这个查询条件之间如果间隔的词太多也就没有意义了。）
//TopScoreDocCollector是盛放查询结果的容器
TopScoreDocCollector collector = TopScoreDocCollector.create(1000, true);
searcher.Search(query, null, collector); //根据query查询条件进行查询，查询结果放入collector容器
ScoreDoc[] docs = collector.TopDocs(index - 1, skipCount).scoreDocs; //得到所有查询结果中的文档,GetTotalHits():表示总条数 TopDocs(300, 20);//表示得到300（从300开始），到320（结束）的文档内容. //可以用来实现分页功能
List <JobSerach> list = new List <JobSerach>();
for (int i = 0; i < docs.Length; i++)
{
//
//搜索ScoreDoc[]只能获得文档的id,这样不会把查询结果的Document一次性加载到内存中。降低了内存压力，需要获得文档的详细内容的时候通过searcher.Doc来根据文档id来获得文档的详细内容对象Document.
int docId = docs[i].doc; //得到查询结果文档的id（Lucene内部分配的id）
Document doc = searcher.Doc(docId); //找到文档id对应的文档详细信息
JobSerach result = new JobSerach();
result.Title = Highlight(kw, doc.Get("Title"));
result.Id = Convert.ToInt32(doc.Get("Id"));
result.ImageAddress = doc.Get("ImageAddress");
result.MaiDian = doc.Get("MaiDian");
result.Price = double.Parse(doc.Get("Price"));
result.Content = doc.Get("Content");
list.Add(result);
}
return(list);
}
//接收写入索引库的内容。
public void Add(JobSerach job)
{
job.JobType = JobType.Add;
queue.Enqueue(job);//将具体的内容插入队列.
}
