/// <summary> A search implementation allowing sorting which spans a new thread for each
/// Searchable, waits for each search to complete and merges
/// the results back together.
/// </summary>
public override TopFieldDocs Search(Weight weight, Filter filter, int nDocs, Sort sort)
{
// don't specify the fields - we'll wait to do this until we get results
FieldDocSortedHitQueue hq = new FieldDocSortedHitQueue(null, nDocs);
int totalHits = 0;
MultiSearcherThread[] msta = new MultiSearcherThread[searchables.Length];
for (int i = 0; i < searchables.Length; i++)
{
// search each searchable
// Assume not too many searchables and cost of creating a thread is by far inferior to a search
msta[i] = new MultiSearcherThread(searchables[i], weight, filter, nDocs, hq, sort, i, starts, "MultiSearcher thread #" + (i + 1));
msta[i].Start();
}
float maxScore = System.Single.NegativeInfinity;
for (int i = 0; i < searchables.Length; i++)
{
try
{
msta[i].Join();
}
catch (System.Threading.ThreadInterruptedException ie)
{
// In 3.0 we will change this to throw
// InterruptedException instead
SupportClass.ThreadClass.Current().Interrupt();
throw new System.SystemException(ie.Message, ie);
}
System.IO.IOException ioe = msta[i].GetIOException();
if (ioe == null)
{
totalHits += msta[i].Hits();
maxScore = System.Math.Max(maxScore, msta[i].GetMaxScore());
}
else
{
// if one search produced an IOException, rethrow it
throw ioe;
}
}
ScoreDoc[] scoreDocs = new ScoreDoc[hq.Size()];
for (int i = hq.Size() - 1; i >= 0; i--)
{
// put docs in array
scoreDocs[i] = (ScoreDoc)hq.Pop();
}
return(new TopFieldDocs(totalHits, scoreDocs, hq.GetFields(), maxScore));
}
/// <summary> A search implementation which spans a new thread for each
/// Searchable, waits for each search to complete and merge
/// the results back together.
/// </summary>
public override TopDocs Search(Weight weight, Filter filter, int nDocs)
{
HitQueue hq = new HitQueue(nDocs, false);
int totalHits = 0;
MultiSearcherThread[] msta = new MultiSearcherThread[searchables.Length];
for (int i = 0; i < searchables.Length; i++)
{
// search each searchable
// Assume not too many searchables and cost of creating a thread is by far inferior to a search
msta[i] = new MultiSearcherThread(searchables[i], weight, filter, nDocs, hq, i, starts, "MultiSearcher thread #" + (i + 1));
msta[i].Start();
}
for (int i = 0; i < searchables.Length; i++)
{
try
{
msta[i].Join();
}
catch (System.Threading.ThreadInterruptedException ie)
{
// In 3.0 we will change this to throw
// InterruptedException instead
Support.ThreadClass.Current().Interrupt();
throw new System.SystemException(ie.Message, ie);
}
System.IO.IOException ioe = msta[i].GetIOException();
if (ioe == null)
{
totalHits += msta[i].Hits();
}
else
{
// if one search produced an IOException, rethrow it
throw ioe;
}
}
ScoreDoc[] scoreDocs = new ScoreDoc[hq.Size()];
for (int i = hq.Size() - 1; i >= 0; i--)
{
// put docs in array
scoreDocs[i] = (ScoreDoc)hq.Pop();
}
float maxScore = (totalHits == 0)?System.Single.NegativeInfinity:scoreDocs[0].Score;
return(new TopDocs(totalHits, scoreDocs, maxScore));
}
/// <summary> A search implementation which spans a new thread for each
/// Searchable, waits for each search to complete and merge
/// the results back together.
/// </summary>
public override TopDocs Search(Weight weight, Filter filter, int nDocs)
{
HitQueue hq = new HitQueue(nDocs, false);
int totalHits = 0;
MultiSearcherThread[] msta = new MultiSearcherThread[searchables.Length];
for (int i = 0; i < searchables.Length; i++)
{
// search each searchable
// Assume not too many searchables and cost of creating a thread is by far inferior to a search
msta[i] = new MultiSearcherThread(searchables[i], weight, filter, nDocs, hq, i, starts, "MultiSearcher thread #" + (i + 1));
msta[i].Start();
}
for (int i = 0; i < searchables.Length; i++)
{
try
{
msta[i].Join();
}
catch (System.Threading.ThreadInterruptedException ie)
{
// In 3.0 we will change this to throw
// InterruptedException instead
SupportClass.ThreadClass.Current().Interrupt();
throw new System.SystemException(ie.Message, ie);
}
System.IO.IOException ioe = msta[i].GetIOException();
if (ioe == null)
{
totalHits += msta[i].Hits();
}
else
{
// if one search produced an IOException, rethrow it
throw ioe;
}
}
ScoreDoc[] scoreDocs = new ScoreDoc[hq.Size()];
for (int i = hq.Size() - 1; i >= 0; i--)
// put docs in array
scoreDocs[i] = (ScoreDoc) hq.Pop();
float maxScore = (totalHits == 0)?System.Single.NegativeInfinity:scoreDocs[0].score;
return new TopDocs(totalHits, scoreDocs, maxScore);
}
/// <summary> A search implementation allowing sorting which spans a new thread for each
/// Searchable, waits for each search to complete and merges
/// the results back together.
/// </summary>
public override TopFieldDocs Search(Weight weight, Filter filter, int nDocs, Sort sort)
{
// don't specify the fields - we'll wait to do this until we get results
FieldDocSortedHitQueue hq = new FieldDocSortedHitQueue(null, nDocs);
int totalHits = 0;
MultiSearcherThread[] msta = new MultiSearcherThread[searchables.Length];
for (int i = 0; i < searchables.Length; i++)
{
// search each searcher
// Assume not too many searchables and cost of creating a thread is by far inferior to a search
msta[i] = new MultiSearcherThread(searchables[i], weight, filter, nDocs, hq, sort, i, starts, "MultiSearcher thread #" + (i + 1));
msta[i].Start();
}
float maxScore = System.Single.NegativeInfinity;
for (int i = 0; i < searchables.Length; i++)
{
try
{
msta[i].Join();
}
catch (System.Threading.ThreadInterruptedException ie)
{
; // TODO: what should we do with this???
}
System.IO.IOException ioe = msta[i].GetIOException();
if (ioe == null)
{
totalHits += msta[i].Hits();
maxScore = System.Math.Max(maxScore, msta[i].GetMaxScore());
}
else
{
// if one search produced an IOException, rethrow it
throw ioe;
}
}
ScoreDoc[] scoreDocs = new ScoreDoc[hq.Size()];
for (int i = hq.Size() - 1; i >= 0; i--)
// put docs in array
scoreDocs[i] = (ScoreDoc) hq.Pop();
return new TopFieldDocs(totalHits, scoreDocs, hq.GetFields(), maxScore);
}