public virtual void TestDocBoost_()
{
RAMDirectory store = new RAMDirectory();
IndexWriter writer = new IndexWriter(store, new SimpleAnalyzer(), true);
Field f1 = Field.Text("Field", "word");
Field f2 = Field.Text("Field", "word");
f2.SetBoost(2.0f);
Document d1 = new Document();
Document d2 = new Document();
Document d3 = new Document();
Document d4 = new Document();
d3.SetBoost(3.0f);
d4.SetBoost(2.0f);
d1.Add(f1); // boost = 1
d2.Add(f2); // boost = 2
d3.Add(f1); // boost = 3
d4.Add(f2); // boost = 4
writer.AddDocument(d1);
writer.AddDocument(d2);
writer.AddDocument(d3);
writer.AddDocument(d4);
writer.Optimize();
writer.Close();
float[] scores = new float[4];
new IndexSearcher(store).Search(new TermQuery(new Term("Field", "word")), new AnonymousClassHitCollector(scores, this));
float lastScore = 0.0f;
for (int i = 0; i < 4; i++)
{
Assert.IsTrue(scores[i] > lastScore);
lastScore = scores[i];
}
}
public virtual void TestDocBoost_()
{
RAMDirectory store = new RAMDirectory();
IndexWriter writer = new IndexWriter(store, new SimpleAnalyzer(), true);
Field f1 = Field.Text("Field", "word");
Field f2 = Field.Text("Field", "word");
f2.SetBoost(2.0f);
Document d1 = new Document();
Document d2 = new Document();
Document d3 = new Document();
Document d4 = new Document();
d3.SetBoost(3.0f);
d4.SetBoost(2.0f);
d1.Add(f1); // boost = 1
d2.Add(f2); // boost = 2
d3.Add(f1); // boost = 3
d4.Add(f2); // boost = 4
writer.AddDocument(d1);
writer.AddDocument(d2);
writer.AddDocument(d3);
writer.AddDocument(d4);
writer.Optimize();
writer.Close();
float[] scores = new float[4];
new IndexSearcher(store).Search(new TermQuery(new Term("Field", "word")), new AnonymousClassHitCollector(scores, this));
float lastScore = 0.0f;
for (int i = 0; i < 4; i++)
{
Assert.IsTrue(scores[i] > lastScore);
lastScore = scores[i];
}
}
private IndexSearcher GetFullStrings()
{
RAMDirectory indexStore = new RAMDirectory();
IndexWriter writer = new IndexWriter(indexStore, new SimpleAnalyzer(), true, IndexWriter.MaxFieldLength.LIMITED);
writer.SetMaxBufferedDocs(4);
writer.SetMergeFactor(97);
for (int i = 0; i < NUM_STRINGS; i++)
{
Document doc = new Document();
System.String num = GetRandomCharString(GetRandomNumber(2, 8), 48, 52);
doc.Add(new Field("tracer", num, Field.Store.YES, Field.Index.NO));
//doc.add (new Field ("contents", Integer.toString(i), Field.Store.NO, Field.Index.ANALYZED));
doc.Add(new Field("string", num, Field.Store.NO, Field.Index.NOT_ANALYZED));
System.String num2 = GetRandomCharString(GetRandomNumber(1, 4), 48, 50);
doc.Add(new Field("string2", num2, Field.Store.NO, Field.Index.NOT_ANALYZED));
doc.Add(new Field("tracer2", num2, Field.Store.YES, Field.Index.NO));
doc.SetBoost(2); // produce some scores above 1.0
writer.SetMaxBufferedDocs(GetRandomNumber(2, 12));
writer.AddDocument(doc);
}
//writer.optimize ();
//System.out.println(writer.getSegmentCount());
writer.Close();
return new IndexSearcher(indexStore);
}
// create an index of all the documents, or just the x, or just the y documents
private Searcher GetIndex(bool even, bool odd)
{
RAMDirectory indexStore = new RAMDirectory();
IndexWriter writer = new IndexWriter(indexStore, new SimpleAnalyzer(), true, IndexWriter.MaxFieldLength.LIMITED);
writer.SetMaxBufferedDocs(2);
writer.SetMergeFactor(1000);
for (int i = 0; i < data.Length; ++i)
{
if (((i % 2) == 0 && even) || ((i % 2) == 1 && odd))
{
Document doc = new Document();
doc.Add(new Field("tracer", data[i][0], Field.Store.YES, Field.Index.NO));
doc.Add(new Field("contents", data[i][1], Field.Store.NO, Field.Index.ANALYZED));
if (data[i][2] != null)
doc.Add(new Field("int", data[i][2], Field.Store.NO, Field.Index.NOT_ANALYZED));
if (data[i][3] != null)
doc.Add(new Field("float", data[i][3], Field.Store.NO, Field.Index.NOT_ANALYZED));
if (data[i][4] != null)
doc.Add(new Field("string", data[i][4], Field.Store.NO, Field.Index.NOT_ANALYZED));
if (data[i][5] != null)
doc.Add(new Field("custom", data[i][5], Field.Store.NO, Field.Index.NOT_ANALYZED));
if (data[i][6] != null)
doc.Add(new Field("i18n", data[i][6], Field.Store.NO, Field.Index.NOT_ANALYZED));
if (data[i][7] != null)
doc.Add(new Field("long", data[i][7], Field.Store.NO, Field.Index.NOT_ANALYZED));
if (data[i][8] != null)
doc.Add(new Field("double", data[i][8], Field.Store.NO, Field.Index.NOT_ANALYZED));
if (data[i][9] != null)
doc.Add(new Field("short", data[i][9], Field.Store.NO, Field.Index.NOT_ANALYZED));
if (data[i][10] != null)
doc.Add(new Field("byte", data[i][10], Field.Store.NO, Field.Index.NOT_ANALYZED));
if (data[i][11] != null)
doc.Add(new Field("parser", data[i][11], Field.Store.NO, Field.Index.NOT_ANALYZED));
doc.SetBoost(2); // produce some scores above 1.0
writer.AddDocument(doc);
}
}
//writer.optimize ();
writer.Close();
IndexSearcher s = new IndexSearcher(indexStore);
s.SetDefaultFieldSortScoring(true, true);
return s;
}
