Lucene热词统计

1、建立搜索表 ID KeyWords DT 搜索一次保存一次,id才用guid提高效率

      /// <summary>
        /// 搜索数据
        /// </summary>
        /// <returns></returns>
        private List<ViewSarchContentModel> SearchBookContent()
        {
            string indexPath = @"C:\lucenedir";
            List<string> kw =Common.WebCommon.GetPanGuWord(Request["txtContent"]);

            FSDirectory directory = FSDirectory.Open(new DirectoryInfo(indexPath), 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 kw)//先用空格，让用户去分词，空格分隔的就是词“计算机   专业”
            {
                query.Add(new Term("Content", word));
            }
            //query.Add(new Term("body","语言"));--可以添加查询条件，两者是add关系.顺序没有关系.
            //query.Add(new Term("body", "大学生"));
            //query.Add(new Term("body", kw));//body中含有kw的文章
            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(0, collector.GetTotalHits()).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<ViewSarchContentModel> list = new List<ViewSarchContentModel>();
            for (int i = 0; i < docs.Length; i++)
            {
                ViewSarchContentModel viewModel = new ViewSarchContentModel();
                //
                //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
                viewModel.Id = doc.Get("Id");
                viewModel.Title = doc.Get("Title");
                viewModel.Content =Common.WebCommon.CreateHightLight(Request["txtContent"], doc.Get("Content"));//搜索内容关键字高亮显示
                list.Add(viewModel);

            }
            SearchDetails searchDetail = new SearchDetails();
            searchDetail.Id = Guid.NewGuid();
            searchDetail.KeyWords = Request["txtContent"];
            searchDetail.SearchDateTime = DateTime.Now;
            SearchDetailsService.AddEntity(searchDetail);

            return list;
        }

搜索数据

2、建立搜索统计表 ID KeyWords SearchCount 定时任务每天凌晨统计

Quartz.Net 调度框架配置介绍

导入 Quartz.dll 和 Common.Logging.dll文件，而spring.net已经引用了Common.Logging.dll，所以要保证两个用的版本一致

 public class IndexJob:IJob
    {
        IBLL.IKeyWordsRankService bll = new BLL.KeyWordsRankService();
        public void Execute(JobExecutionContext context)
        {
            bll.DeleteAllKeyWords();
            bll.InsertKeyWords();
        }
    }

在DBSESSION加入执行SQL方法

    public int ExecuteSql(string sql,params System.Data.SqlClient.SqlParameter[] pars)
        {
           return Db.Database.ExecuteSqlCommand(sql, pars);
        }
        public List<T> ExecuteSelectQuery<T>(string sql, params System.Data.SqlClient.SqlParameter[] pars)
        {
            return Db.Database.SqlQuery<T>(sql, pars).ToList();
        }

建立业务KeyWordsRankService 类

using CZBK.ItcastOA.Model;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace CZBK.ItcastOA.IBLL
{
   public partial interface IKeyWordsRankService:IBaseService<KeyWordsRank>
    {
       bool DeleteAllKeyWords();
       bool InsertKeyWords();
       List<string> GetSearchWord(string str);
    }
}

IKeyWordsRankService

using CZBK.ItcastOA.IBLL;
using CZBK.ItcastOA.Model;
using System;
using System.Collections.Generic;
using System.Data.SqlClient;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace CZBK.ItcastOA.BLL
{
    public partial class KeyWordsRankService : BaseService<KeyWordsRank>, IKeyWordsRankService
    {
        /// <summary>
        /// 删除汇总表中的数据
        /// </summary>
        /// <returns></returns>
        public bool DeleteAllKeyWords()
        {
            string sql = "truncate table KeyWordsRank";
           return this.GetCurrentDbSession.ExecuteSql(sql)>0;
        }
        /// <summary>
        /// 向汇总表中插入数据
        /// </summary>
        /// <returns></returns>
        public bool InsertKeyWords()
        {
            string sql = "insert into KeyWordsRank(Id,KeyWords,SearchCount) select newid(),KeyWords,count(*) from SearchDetails where DateDiff(day,SearchDateTime,getdate())<=7 group by KeyWords";
            return this.GetCurrentDbSession.ExecuteSql(sql)>0;

        }
        /// <summary>
        /// 返回热词
        /// </summary>
        /// <param name="str"></param>
        /// <returns></returns>
        public List<string> GetSearchWord(string str)
        {
            string sql = "select KeyWords from KeyWordsRank where KeyWords like @msg";
          return  this.GetCurrentDbSession.ExecuteSelectQuery<string>(sql, new SqlParameter("@msg",str+"%"));
        }
    }
}

KeyWordsRankService