public string Search(string strQuery)
{
string result = string.Empty;
Lucene.Net.Index.IndexReader reader = Lucene.Net.Index.IndexReader.Open(Server.MapPath(System.Configuration.ConfigurationManager.AppSettings["IndexingArticle"]));
Lucene.Net.QueryParsers.QueryParser parser = new Lucene.Net.QueryParsers.QueryParser("ArticleDetail", new Lucene.Net.Analysis.Standard.StandardAnalyzer());
Lucene.Net.Search.Query query = parser.Parse(strQuery);
Lucene.Net.Search.IndexSearcher searcher = new Lucene.Net.Search.IndexSearcher(reader);
Lucene.Net.Search.Hits hits = searcher.Search(query);
Lucene.Net.Highlight.QueryScorer score = new Lucene.Net.Highlight.QueryScorer(query);
Lucene.Net.Highlight.SimpleHTMLFormatter formater = new Lucene.Net.Highlight.SimpleHTMLFormatter("<span class='Highlight'>", "</span>");
Lucene.Net.Highlight.Highlighter highlighter = new Lucene.Net.Highlight.Highlighter(formater, score);
result += "<div align='right' style='background-color:#F0F7F9; padding-right:15px' height='30px'><font style='FONT-WEIGHT: bold; FONT-SIZE: 10pt; COLOR: #005482; FONT-FAMILY: arial'>Kết quả tìm thấy : " + hits.Length() + " </font></div>";
result += "<div style='padding: 10px 10px 10px 10px;'>";
for (int i = 0; i < hits.Length(); i++)
{
string id = hits.Doc(i).Get("ArticleId");
string title = hits.Doc(i).Get("ArticleTitle");
string detail = hits.Doc(i).Get("ArticleDetail");
Lucene.Net.Analysis.TokenStream ts = (new Lucene.Net.Analysis.Standard.StandardAnalyzer()).TokenStream("ArticleDetail", new System.IO.StringReader(detail));
result += string.Format("<div align='left'><font style='FONT-WEIGHT: bold; FONT-SIZE: 10pt; COLOR: #5b5b5b; FONT-FAMILY: arial'><a href='/?ArticleId={0}'>{1}</a></font>", id, title);
result += string.Format("<div align='left'><font style='FONT-SIZE: 9pt' face='Arial' color='#005482'>...{0}...</font></div></div></br>", highlighter.GetBestFragment(ts, detail));
}
result += "</div>";
reader.Close();
return(result);
}
public string SearchAndPaging(string strQuery, string index)
{
string result = string.Empty;
try
{
List <SearchArticle> searchArticleList = new List <SearchArticle>();
PSCPortal.CMS.ArticleCollection ArticleList = ArticleCollection.GetArticleCollectionPublish();
string nameSub = Libs.Ultility.GetSubDomain() == string.Empty ? "HomePage" : Libs.Ultility.GetSubDomain();
SubDomain subDomain = PSCPortal.Engine.SubDomain.GetSubByName(nameSub);
PageCollection pagesBelongTo = subDomain.GetPagesBelongTo();
string strId = string.Empty;
foreach (var page in pagesBelongTo)
{
foreach (var ar in ArticleList.Where(ar => ar.PageId == page.Id))
{
strId += ar.Id + " OR ";
}
if (strId.Length > 0)
{
strId = strId.Remove(strId.Length - 3, 3);
}
}
int pageIndex = Int32.Parse(index);
string strSearch = " ArticleDetail:(" + strQuery + ") AND ArticleId:" + "( " + strId + " )";
Lucene.Net.Index.IndexReader reader = Lucene.Net.Index.IndexReader.Open(Server.MapPath(System.Configuration.ConfigurationManager.AppSettings["IndexingArticle"]));
Lucene.Net.QueryParsers.QueryParser parser = new Lucene.Net.QueryParsers.QueryParser("ArticleDetail", new Lucene.Net.Analysis.Standard.StandardAnalyzer());
Lucene.Net.Search.Query query = parser.Parse(strSearch);
Lucene.Net.Search.IndexSearcher searcher = new Lucene.Net.Search.IndexSearcher(reader);
Lucene.Net.Search.Hits hits = searcher.Search(query);
Lucene.Net.Highlight.QueryScorer score = new Lucene.Net.Highlight.QueryScorer(query);
Lucene.Net.Highlight.SimpleHTMLFormatter formater = new Lucene.Net.Highlight.SimpleHTMLFormatter("<span class='Highlight'>", "</span>");
Lucene.Net.Highlight.Highlighter highlighter = new Lucene.Net.Highlight.Highlighter(formater, score);
result += hits.Length() + "_" + "<div class='blog_news'><div class='topic_news_title1'><div class='topic_news_title'><a href='#'>Kết quả tìm thấy: " + hits.Length() + "</a></div></div>";
result += "<div class='ct_topic_l'><div class='ct_topic_r1'>";
for (int i = pageIndex * 20 - 20; i < pageIndex * 20 && i < hits.Length(); i++)
{
string detail = hits.Doc(i).Get("ArticleDetail");
Lucene.Net.Analysis.TokenStream ts = (new Lucene.Net.Analysis.Standard.StandardAnalyzer()).TokenStream("ArticleDetail", new System.IO.StringReader(detail));
SearchArticle searchArticle = new SearchArticle();
searchArticle.Id = hits.Doc(i).Get("ArticleId");;
searchArticle.Title = hits.Doc(i).Get("ArticleTitle");
searchArticle.Highligth = highlighter.GetBestFragment(ts, detail);
searchArticleList.Add(searchArticle);
}
reader.Close();
JavaScriptSerializer serializer = new JavaScriptSerializer();
Dictionary <string, object> resultDic = new Dictionary <string, object>();
resultDic["Count"] = hits.Length();
resultDic["Data"] = searchArticleList;
result = serializer.Serialize(resultDic);
}
catch (Exception e)
{
}
return(result);
}
public virtual void TestGetValuesForIndexedDocument()
{
RAMDirectory dir = new RAMDirectory();
IndexWriter writer = new IndexWriter(dir, new StandardAnalyzer(), true);
writer.AddDocument(MakeDocumentWithFields());
writer.Close();
Searcher searcher = new IndexSearcher(dir);
// search for something that does exists
Query query = new TermQuery(new Term("keyword", "test1"));
// ensure that queries return expected results without DateFilter first
Hits hits = searcher.Search(query);
Assert.AreEqual(1, hits.Length());
try
{
DoAssert(hits.Doc(0), true);
}
catch (System.Exception e)
{
System.Console.Error.WriteLine(e.StackTrace);
System.Console.Error.Write("\n");
}
finally
{
searcher.Close();
}
}
public List <LuceneData> MemberSearch(string searchTerm)
{
var searchData = new List <LuceneData>();
try
{
Lucene.Net.Store.Directory dir = Lucene.Net.Store.FSDirectory.GetDirectory(_indexFileLocation);
//create an analyzer to process the text
Lucene.Net.Analysis.Analyzer analyzer = new Lucene.Net.Analysis.Standard.StandardAnalyzer();
//create the query parser, with the default search feild set to "content"
Lucene.Net.QueryParsers.QueryParser queryParser = new Lucene.Net.QueryParsers.QueryParser("SearchContent", analyzer);
//parse the query string into a Query object
Lucene.Net.Search.Query query = queryParser.Parse(searchTerm);
//create an index searcher that will perform the search
//Lucene.Net.Index.IndexReader indexReader = Lucene.Net.Index.IndexReader.Open(dir, true);
Lucene.Net.Search.IndexSearcher searcher = new Lucene.Net.Search.IndexSearcher(dir, true);
////build a query object
//Lucene.Net.Index.Term luceneSearchTerm = new Lucene.Net.Index.Term("searchContent", searchTerm);
//Lucene.Net.Search.Query query = new Lucene.Net.Search.TermQuery(luceneSearchTerm);
//execute the query
Lucene.Net.Search.Hits hits = searcher.Search(query);
//int resultCount = hits.Length();
//if (resultCount > 1000){
// resultCount = 1000;
//}
//iterate over the results.
for (int i = 0; i < hits.Length(); i++)
{
Lucene.Net.Documents.Document doc = hits.Doc(i);
searchData.Add(new LuceneData
{
MemberID = Convert.ToInt32(doc.Get("MemberID")),
FirstName = doc.Get("FirstName"),
LastName = doc.Get("LastName"),
CompanyName = doc.Get("CompanyName"),
City = doc.Get("City"),
State = doc.Get("State"),
PostalCode = doc.Get("PostalCode")
});
}
}
catch (Exception ex)
{
}
return(searchData);
}
public static void Main(System.String[] a)
{
System.String indexName = "localhost_index";
System.String fn = "c:/Program Files/Apache Group/Apache/htdocs/manual/vhosts/index.html.en";
System.Uri url = null;
for (int i = 0; i < a.Length; i++)
{
if (a[i].Equals("-i"))
{
indexName = a[++i];
}
else if (a[i].Equals("-f"))
{
fn = a[++i];
}
else if (a[i].Equals("-url"))
{
url = new System.Uri(a[++i]);
}
}
System.IO.StreamWriter temp_writer;
temp_writer = new System.IO.StreamWriter(System.Console.OpenStandardOutput(), System.Console.Out.Encoding);
temp_writer.AutoFlush = true;
System.IO.StreamWriter o = temp_writer;
IndexReader r = IndexReader.Open(indexName);
o.WriteLine("Open index " + indexName + " which has " + r.NumDocs() + " docs");
MoreLikeThis mlt = new MoreLikeThis(r);
o.WriteLine("Query generation parameters:");
o.WriteLine(mlt.DescribeParams());
o.WriteLine();
Query query = null;
if (url != null)
{
o.WriteLine("Parsing URL: " + url);
query = mlt.Like(url);
}
else if (fn != null)
{
o.WriteLine("Parsing file: " + fn);
query = mlt.Like(new System.IO.FileInfo(fn));
}
o.WriteLine("q: " + query);
o.WriteLine();
IndexSearcher searcher = new IndexSearcher(indexName);
Hits hits = searcher.Search(query);
int len = hits.Length();
o.WriteLine("found: " + len + " documents matching");
o.WriteLine();
for (int i = 0; i < System.Math.Min(25, len); i++)
{
Document d = hits.Doc(i);
System.String summary = d.Get("summary");
o.WriteLine("score : " + hits.Score(i));
o.WriteLine("url : " + d.Get("url"));
o.WriteLine("\ttitle : " + d.Get("title"));
if (summary != null)
{
o.WriteLine("\tsummary: " + d.Get("summary"));
}
o.WriteLine();
}
}
public virtual void TestMultiSearcher()
{
//setup index 1
RAMDirectory ramDir1 = new RAMDirectory();
IndexWriter writer1 = new IndexWriter(ramDir1, new StandardAnalyzer(), true);
Document d = new Document();
Field f = new Field(FIELD_NAME, "multiOne", Field.Store.YES, Field.Index.TOKENIZED);
d.Add(f);
writer1.AddDocument(d);
writer1.Optimize();
writer1.Close();
IndexReader reader1 = IndexReader.Open(ramDir1);
//setup index 2
RAMDirectory ramDir2 = new RAMDirectory();
IndexWriter writer2 = new IndexWriter(ramDir2, new StandardAnalyzer(), true);
d = new Document();
f = new Field(FIELD_NAME, "multiTwo", Field.Store.YES, Field.Index.TOKENIZED);
d.Add(f);
writer2.AddDocument(d);
writer2.Optimize();
writer2.Close();
IndexReader reader2 = IndexReader.Open(ramDir2);
IndexSearcher[] searchers = new IndexSearcher[2];
searchers[0] = new IndexSearcher(ramDir1);
searchers[1] = new IndexSearcher(ramDir2);
MultiSearcher multiSearcher = new MultiSearcher(searchers);
QueryParser parser = new QueryParser(FIELD_NAME, new StandardAnalyzer());
parser.SetMultiTermRewriteMethod(MultiTermQuery.SCORING_BOOLEAN_QUERY_REWRITE);
query = parser.Parse("multi*");
System.Console.Out.WriteLine("Searching for: " + query.ToString(FIELD_NAME));
//at this point the multisearcher calls combine(query[])
hits = multiSearcher.Search(query);
//query = QueryParser.parse("multi*", FIELD_NAME, new StandardAnalyzer());
Query[] expandedQueries = new Query[2];
expandedQueries[0] = query.Rewrite(reader1);
expandedQueries[1] = query.Rewrite(reader2);
query = query.Combine(expandedQueries);
//create an instance of the highlighter with the tags used to surround highlighted text
Highlighter highlighter = new Highlighter(this, new QueryScorer(query));
for (int i = 0; i < hits.Length(); i++)
{
System.String text = hits.Doc(i).Get(FIELD_NAME);
TokenStream tokenStream = analyzer.TokenStream(FIELD_NAME, new System.IO.StringReader(text));
System.String highlightedText = highlighter.GetBestFragment(tokenStream, text);
System.Console.Out.WriteLine(highlightedText);
}
Assert.IsTrue(numHighlights == 2, "Failed to find correct number of highlights " + numHighlights + " found");
}
/// <summary> Suggest similar words (restricted or not to a field of a user index)</summary>
/// <param name="word">String the word you want a spell check done on
/// </param>
/// <param name="num_sug">int the number of suggest words
/// </param>
/// <param name="ir">the indexReader of the user index (can be null see field param)
/// </param>
/// <param name="field">String the field of the user index: if field is not null, the suggested
/// words are restricted to the words present in this field.
/// </param>
/// <param name="morePopular">boolean return only the suggest words that are more frequent than the searched word
/// (only if restricted mode = (indexReader!=null and field!=null)
/// </param>
/// <throws> IOException </throws>
/// <returns> String[] the sorted list of the suggest words with this 2 criteria:
/// first criteria: the edit distance, second criteria (only if restricted mode): the popularity
/// of the suggest words in the field of the user index
/// </returns>
public virtual System.String[] SuggestSimilar(System.String word, int num_sug, IndexReader ir, System.String field, bool morePopular)
{
float min = this.minScore;
TRStringDistance sd = new TRStringDistance(word);
int lengthWord = word.Length;
int goalFreq = (morePopular && ir != null) ? ir.DocFreq(new Term(field, word)) : 0;
if (!morePopular && goalFreq > 0)
{
return(new System.String[] { word }); // return the word if it exist in the index and i don't want a more popular word
}
BooleanQuery query = new BooleanQuery();
System.String[] grams;
System.String key;
for (int ng = GetMin(lengthWord); ng <= GetMax(lengthWord); ng++)
{
key = "gram" + ng; // form key
grams = FormGrams(word, ng); // form word into ngrams (allow dups too)
if (grams.Length == 0)
{
continue; // hmm
}
if (bStart > 0)
{
// should we boost prefixes?
Add(query, "start" + ng, grams[0], bStart); // matches start of word
}
if (bEnd > 0)
{
// should we boost suffixes
Add(query, "end" + ng, grams[grams.Length - 1], bEnd); // matches end of word
}
for (int i = 0; i < grams.Length; i++)
{
Add(query, key, grams[i]);
}
}
IndexSearcher searcher = new IndexSearcher(this.spellindex);
Hits hits = searcher.Search(query);
SuggestWordQueue sugqueue = new SuggestWordQueue(num_sug);
int stop = Math.Min(hits.Length(), 10 * num_sug); // go thru more than 'maxr' matches in case the distance filter triggers
SuggestWord sugword = new SuggestWord();
for (int i = 0; i < stop; i++)
{
sugword.string_Renamed = hits.Doc(i).Get(F_WORD); // get orig word)
if (sugword.string_Renamed.Equals(word))
{
continue; // don't suggest a word for itself, that would be silly
}
//edit distance/normalize with the min word length
sugword.score = 1.0f - ((float)sd.GetDistance(sugword.string_Renamed) / System.Math.Min(sugword.string_Renamed.Length, lengthWord));
if (sugword.score < min)
{
continue;
}
if (ir != null)
{
// use the user index
sugword.freq = ir.DocFreq(new Term(field, sugword.string_Renamed)); // freq in the index
if ((morePopular && goalFreq > sugword.freq) || sugword.freq < 1)
{
// don't suggest a word that is not present in the field
continue;
}
}
sugqueue.Insert(sugword);
if (sugqueue.Size() == num_sug)
{
//if queue full , maintain the min score
min = ((SuggestWord)sugqueue.Top()).score;
}
sugword = new SuggestWord();
}
// convert to array string
System.String[] list = new System.String[sugqueue.Size()];
for (int i = sugqueue.Size() - 1; i >= 0; i--)
{
list[i] = ((SuggestWord)sugqueue.Pop()).string_Renamed;
}
searcher.Close();
return(list);
}
public SearchModel Search(string searchText)
{
var result = new SearchModel();
if (string.IsNullOrEmpty(searchText))
{
result.Message = "Įveskite paieškos užklausą.";
return(result);
}
var stemmedSearchText = new LithuanianStemmer().Stem(searchText.Trim());
if (string.IsNullOrEmpty(stemmedSearchText))
{
result.Message = "Įveskite paieškos užklausą.";
return(result);
}
Lucene.Net.Search.Hits hits = null;
try
{
if (char.IsLetter(stemmedSearchText[stemmedSearchText.Length - 1]))
{
stemmedSearchText += "*";
}
query = parser.Parse(stemmedSearchText);
if (searcher == null)
{
searcher = new Lucene.Net.Search.IndexSearcher(CustomAppSettings.SearchIndexFolder);
}
hits = searcher.Search(query);
}
catch (Exception e)
{
result.Message = "Paieška nepavyko. Pataisykite užklausą. Klaidos pranešimas: " + e.Message;
return(result);
}
Lucene.Net.Highlight.Formatter formatter = new Lucene.Net.Highlight.SimpleHTMLFormatter(
"<span class=\"highlightResult\">",
"</span>");
var fragmenter = new Lucene.Net.Highlight.SimpleFragmenter(100);
var scorer = new Lucene.Net.Highlight.QueryScorer(searcher.Rewrite(query));
var highlighter = new Lucene.Net.Highlight.Highlighter(formatter, scorer);
highlighter.SetTextFragmenter(fragmenter);
Dictionary <string, int> dict_already_seen_ids = new Dictionary <string, int>();
var list = new List <SearchIndexModel>();
// insert the search results into a temp table which we will join with what's in the database
for (int i = 0; i < hits.Length(); i++)
{
if (dict_already_seen_ids.Count < 100)
{
Lucene.Net.Documents.Document doc = hits.Doc(i);
string id = doc.Get("id");
if (!dict_already_seen_ids.ContainsKey(id))
{
dict_already_seen_ids[id] = 1;
var model = new SearchIndexModel();
model.Id = id;
model.Score = hits.Score(i);
model.Subject = doc.Get("subject");
model.Type = (EntryTypes)Enum.Parse(typeof(EntryTypes), doc.Get("type"));
string raw_text = HttpUtility.HtmlEncode(doc.Get("raw_text"));
//string raw_text = doc.Get("raw_text");
Lucene.Net.Analysis.TokenStream stream = analyzer.TokenStream("text",
new System.IO.StringReader(
raw_text));
string highlighted_text = highlighter.GetBestFragments(stream, raw_text, 3, "...").Replace("'",
"''");
if (highlighted_text == "") // someties the highlighter fails to emit text...
{
highlighted_text = raw_text.Replace("'", "''");
}
if (highlighted_text.Length > 3000)
{
highlighted_text = highlighted_text.Substring(0, 3000);
}
model.HighlightedText = highlighted_text;
list.Add(model);
}
}
else
{
break;
}
}
result.List = list;
result.SearchPhrase = searchText;
if (list.Count == 0)
{
result.Message = string.Format("Įrašų pagal užklausą '{0}' nerasta. Patikslinkite paieškos duomenis.", searchText);
}
return(result);
}
public static void Main(System.String[] args)
{
try
{
Searcher searcher = new IndexSearcher(@"index");
Analyzer analyzer = new StandardAnalyzer();
System.IO.StreamReader in_Renamed = new System.IO.StreamReader(new System.IO.StreamReader(System.Console.OpenStandardInput(), System.Text.Encoding.Default).BaseStream, new System.IO.StreamReader(System.Console.OpenStandardInput(), System.Text.Encoding.Default).CurrentEncoding);
while (true)
{
System.Console.Out.Write("Query: ");
System.String line = in_Renamed.ReadLine();
if (line.Length == -1)
{
break;
}
Query query = QueryParser.Parse(line, "contents", analyzer);
System.Console.Out.WriteLine("Searching for: " + query.ToString("contents"));
Hits hits = searcher.Search(query);
System.Console.Out.WriteLine(hits.Length() + " total matching documents");
int HITS_PER_PAGE = 10;
for (int start = 0; start < hits.Length(); start += HITS_PER_PAGE)
{
int end = System.Math.Min(hits.Length(), start + HITS_PER_PAGE);
for (int i = start; i < end; i++)
{
Document doc = hits.Doc(i);
System.String path = doc.Get("path");
if (path != null)
{
System.Console.Out.WriteLine(i + ". " + path);
}
else
{
System.String url = doc.Get("url");
if (url != null)
{
System.Console.Out.WriteLine(i + ". " + url);
System.Console.Out.WriteLine(" - " + doc.Get("title"));
}
else
{
System.Console.Out.WriteLine(i + ". " + "No path nor URL for this document");
}
}
}
if (hits.Length() > end)
{
System.Console.Out.Write("more (y/n) ? ");
line = in_Renamed.ReadLine();
if (line.Length == 0 || line[0] == 'n')
{
break;
}
}
}
}
searcher.Close();
}
catch (System.Exception e)
{
System.Console.Out.WriteLine(" caught a " + e.GetType() + "\n with message: " + e.Message);
}
}
public string GetStudentsByYearIdAndTimesIdAndSchoolIdAndStudentName(string schoolYear, string times, string schoolId, string StudentName, string pIndex)
{
string result = string.Empty;
int pageIndex = Int32.Parse(pIndex);
ArrayList students = new ArrayList();
string pathOfIndexFile = Server.MapPath(System.Configuration.ConfigurationManager.AppSettings["StudentIndexing"].ToString());
if (Int32.Parse(schoolYear) >= 2000)
{
pathOfIndexFile += "\\" + schoolYear + "\\Index";
}
string studentName = StudentName.Replace("\"", "");
studentName = "\"" + studentName + "\"";
Lucene.Net.Search.IndexSearcher iSearcher = new Lucene.Net.Search.IndexSearcher(pathOfIndexFile);
Lucene.Net.QueryParsers.QueryParser qYearParser = new Lucene.Net.QueryParsers.QueryParser("YearId", new Lucene.Net.Analysis.Standard.StandardAnalyzer());
Lucene.Net.Search.Query iYearQuery = qYearParser.Parse(schoolYear);
Lucene.Net.QueryParsers.QueryParser qTestDayParser = new Lucene.Net.QueryParsers.QueryParser("TestDayId", new Lucene.Net.Analysis.Standard.StandardAnalyzer());
Lucene.Net.Search.Query iTestDayQuery = qTestDayParser.Parse(times);
Lucene.Net.QueryParsers.QueryParser qStudentIdParser = new Lucene.Net.QueryParsers.QueryParser("StudentID", new Lucene.Net.Analysis.Standard.StandardAnalyzer());
Lucene.Net.Search.Query iStudentIdQuery = qStudentIdParser.Parse("1");
//////////////////////////////////////////////////////////////////////
Lucene.Net.Search.BooleanQuery bQuery = new Lucene.Net.Search.BooleanQuery();
bQuery.Add(iYearQuery, Lucene.Net.Search.BooleanClause.Occur.MUST);
bQuery.Add(iTestDayQuery, Lucene.Net.Search.BooleanClause.Occur.MUST);
if (StudentName != " " && StudentName != "")
{
Lucene.Net.QueryParsers.QueryParser qStudentParser = new Lucene.Net.QueryParsers.QueryParser("StudentName", new Lucene.Net.Analysis.Standard.StandardAnalyzer());
Lucene.Net.Search.Query iStudentQuery = qStudentParser.Parse(studentName);
bQuery.Add(iStudentQuery, Lucene.Net.Search.BooleanClause.Occur.MUST);
}
Lucene.Net.Search.Hits iHits = iSearcher.Search(bQuery);
using (System.Data.SqlClient.SqlConnection con = new System.Data.SqlClient.SqlConnection(System.Configuration.ConfigurationManager.ConnectionStrings["PSCPortalConnectionString"].ConnectionString))
{
con.Open();
//paging
for (int i = pageIndex * 20 - 20; i < pageIndex * 20 && i < iHits.Length(); i++)
{
string yId = iHits.Doc(i).Get("YearId");
string stuId = iHits.Doc(i).Get("StudentID");
string testDayId = iHits.Doc(i).Get("TestDayId");
System.Data.SqlClient.SqlCommand com = new System.Data.SqlClient.SqlCommand();
com.Connection = con;
com.CommandType = CommandType.Text;
com.CommandText = @" select StudentTHPT.TotalMark,[RoundTotalMark],StudentTHPT.YearId,StudentTHPT.TestDayId,StudentId,FirstName+' '+MiddleName+' '+LastName as FullName,Sex,Birthday,MarkEncourage,Section.Name from StudentTHPT inner join Section on StudentTHPT.SectionId = Section.SectionId
where StudentTHPT.YearId=@yearId and StudentTHPT.TestDayId=@timeId and StudentId = @studentId
Order by LastName
" ;
com.Parameters.Add("@yearId", SqlDbType.NChar);
com.Parameters["@yearId"].Value = yId;
com.Parameters.Add("@timeId", SqlDbType.NVarChar);
com.Parameters["@timeId"].Value = testDayId;
com.Parameters.Add("@studentId", SqlDbType.NVarChar);
com.Parameters["@studentId"].Value = stuId;
using (System.Data.SqlClient.SqlDataReader reader = com.ExecuteReader())
{
while (reader.Read())
{
string fullName = reader["FullName"].ToString();
string birthday = reader["Birthday"].ToString().Trim();
string studentId = reader["StudentId"].ToString();
string total = iHits.Length().ToString();
// string markEncourage = reader["MarkEncourage"].ToString();
string totalMark = reader["TotalMark"].ToString();
string section = reader["Name"].ToString();
string roundTotalMark = reader["RoundTotalMark"].ToString();
Student s = new Student {
StudentId = studentId, FullName = fullName, Birthday = birthday, Total = total, Section = section, TotalMark = totalMark, RoundTotalMark = roundTotalMark
};
students.Add(s);
}
}
}
}
iSearcher.Close();
System.Web.Script.Serialization.JavaScriptSerializer serialize = new System.Web.Script.Serialization.JavaScriptSerializer();
result = serialize.Serialize(students);
return(result);
}