public MultiTermEnum(Monodoc.Lucene.Net.Index.IndexReader[] readers, int[] starts, Term t)
{
queue = new SegmentMergeQueue(readers.Length);
for (int i = 0; i < readers.Length; i++)
{
Monodoc.Lucene.Net.Index.IndexReader reader = readers[i];
TermEnum termEnum;
if (t != null)
{
termEnum = reader.Terms(t);
}
else
{
termEnum = reader.Terms();
}
SegmentMergeInfo smi = new SegmentMergeInfo(starts[i], termEnum, reader);
if (t == null?smi.Next():termEnum.Term() != null)
{
queue.Put(smi);
}
// initialize queue
else
{
smi.Close();
}
}
if (t != null && queue.Size() > 0)
{
Next();
}
}
public override bool Next()
{
SegmentMergeInfo top = (SegmentMergeInfo)queue.Top();
if (top == null)
{
term = null;
return(false);
}
term = top.term;
docFreq = 0;
while (top != null && term.CompareTo(top.term) == 0)
{
queue.Pop();
docFreq += top.termEnum.DocFreq(); // increment freq
if (top.Next())
{
queue.Put(top);
}
// restore queue
else
{
top.Close(); // done with a segment
}
top = (SegmentMergeInfo)queue.Top();
}
return(true);
}
/// <summary>Process postings from multiple segments all positioned on the
/// same term. Writes out merged entries into freqOutput and
/// the proxOutput streams.
///
/// </summary>
/// <param name="smis">array of segments
/// </param>
/// <param name="n">number of cells in the array actually occupied
/// </param>
/// <returns> number of documents across all segments where this term was found
/// </returns>
private int AppendPostings(SegmentMergeInfo[] smis, int n)
{
int lastDoc = 0;
int df = 0; // number of docs w/ term
ResetSkip();
for (int i = 0; i < n; i++)
{
SegmentMergeInfo smi = smis[i];
TermPositions postings = smi.postings;
int base_Renamed = smi.base_Renamed;
int[] docMap = smi.docMap;
postings.Seek(smi.termEnum);
while (postings.Next())
{
int doc = postings.Doc();
if (docMap != null)
{
doc = docMap[doc]; // map around deletions
}
doc += base_Renamed; // convert to merged space
if (doc < lastDoc)
{
throw new System.SystemException("docs out of order");
}
df++;
if ((df % skipInterval) == 0)
{
BufferSkip(lastDoc);
}
int docCode = (doc - lastDoc) << 1; // use low bit to flag freq=1
lastDoc = doc;
int freq = postings.Freq();
if (freq == 1)
{
freqOutput.WriteVInt(docCode | 1); // write doc & freq=1
}
else
{
freqOutput.WriteVInt(docCode); // write doc
freqOutput.WriteVInt(freq); // write frequency in doc
}
int lastPosition = 0; // write position deltas
for (int j = 0; j < freq; j++)
{
int position = postings.NextPosition();
proxOutput.WriteVInt(position - lastPosition);
lastPosition = position;
}
}
}
return(df);
}
private void MergeTermInfos()
{
int base_Renamed = 0;
for (int i = 0; i < readers.Count; i++)
{
Monodoc.Lucene.Net.Index.IndexReader reader = (Monodoc.Lucene.Net.Index.IndexReader)readers[i];
TermEnum termEnum = reader.Terms();
SegmentMergeInfo smi = new SegmentMergeInfo(base_Renamed, termEnum, reader);
base_Renamed += reader.NumDocs();
if (smi.Next())
{
queue.Put(smi);
}
// initialize queue
else
{
smi.Close();
}
}
SegmentMergeInfo[] match = new SegmentMergeInfo[readers.Count];
while (queue.Size() > 0)
{
int matchSize = 0; // pop matching terms
match[matchSize++] = (SegmentMergeInfo)queue.Pop();
Term term = match[0].term;
SegmentMergeInfo top = (SegmentMergeInfo)queue.Top();
while (top != null && term.CompareTo(top.term) == 0)
{
match[matchSize++] = (SegmentMergeInfo)queue.Pop();
top = (SegmentMergeInfo)queue.Top();
}
MergeTermInfo(match, matchSize); // add new TermInfo
while (matchSize > 0)
{
SegmentMergeInfo smi = match[--matchSize];
if (smi.Next())
{
queue.Put(smi);
}
// restore queue
else
{
smi.Close(); // done with a segment
}
}
}
}
public override bool LessThan(System.Object a, System.Object b)
{
SegmentMergeInfo stiA = (SegmentMergeInfo)a;
SegmentMergeInfo stiB = (SegmentMergeInfo)b;
int comparison = stiA.term.CompareTo(stiB.term);
if (comparison == 0)
{
return(stiA.base_Renamed < stiB.base_Renamed);
}
else
{
return(comparison < 0);
}
}
/// <summary>Process postings from multiple segments all positioned on the
/// same term. Writes out merged entries into freqOutput and
/// the proxOutput streams.
///
/// </summary>
/// <param name="smis">array of segments
/// </param>
/// <param name="n">number of cells in the array actually occupied
/// </param>
/// <returns> number of documents across all segments where this term was found
/// </returns>
private int AppendPostings(SegmentMergeInfo[] smis, int n)
{
int lastDoc = 0;
int df = 0; // number of docs w/ term
ResetSkip();
for (int i = 0; i < n; i++)
{
SegmentMergeInfo smi = smis[i];
TermPositions postings = smi.postings;
int base_Renamed = smi.base_Renamed;
int[] docMap = smi.docMap;
postings.Seek(smi.termEnum);
while (postings.Next())
{
int doc = postings.Doc();
if (docMap != null)
doc = docMap[doc]; // map around deletions
doc += base_Renamed; // convert to merged space
if (doc < lastDoc)
throw new System.SystemException("docs out of order");
df++;
if ((df % skipInterval) == 0)
{
BufferSkip(lastDoc);
}
int docCode = (doc - lastDoc) << 1; // use low bit to flag freq=1
lastDoc = doc;
int freq = postings.Freq();
if (freq == 1)
{
freqOutput.WriteVInt(docCode | 1); // write doc & freq=1
}
else
{
freqOutput.WriteVInt(docCode); // write doc
freqOutput.WriteVInt(freq); // write frequency in doc
}
int lastPosition = 0; // write position deltas
for (int j = 0; j < freq; j++)
{
int position = postings.NextPosition();
proxOutput.WriteVInt(position - lastPosition);
lastPosition = position;
}
}
}
return df;
}
private TermInfo termInfo = new TermInfo(); // minimize consing
/// <summary>Merge one term found in one or more segments. The array <code>smis</code>
/// contains segments that are positioned at the same term. <code>N</code>
/// is the number of cells in the array actually occupied.
///
/// </summary>
/// <param name="smis">array of segments
/// </param>
/// <param name="n">number of cells in the array actually occupied
/// </param>
private void MergeTermInfo(SegmentMergeInfo[] smis, int n)
{
long freqPointer = freqOutput.GetFilePointer();
long proxPointer = proxOutput.GetFilePointer();
int df = AppendPostings(smis, n); // append posting data
long skipPointer = WriteSkip();
if (df > 0)
{
// add an entry to the dictionary with pointers to prox and freq files
termInfo.Set(df, freqPointer, proxPointer, (int) (skipPointer - freqPointer));
termInfosWriter.Add(smis[0].term, termInfo);
}
}
private void MergeTermInfos()
{
int base_Renamed = 0;
for (int i = 0; i < readers.Count; i++)
{
Monodoc.Lucene.Net.Index.IndexReader reader = (Monodoc.Lucene.Net.Index.IndexReader) readers[i];
TermEnum termEnum = reader.Terms();
SegmentMergeInfo smi = new SegmentMergeInfo(base_Renamed, termEnum, reader);
base_Renamed += reader.NumDocs();
if (smi.Next())
queue.Put(smi);
// initialize queue
else
smi.Close();
}
SegmentMergeInfo[] match = new SegmentMergeInfo[readers.Count];
while (queue.Size() > 0)
{
int matchSize = 0; // pop matching terms
match[matchSize++] = (SegmentMergeInfo) queue.Pop();
Term term = match[0].term;
SegmentMergeInfo top = (SegmentMergeInfo) queue.Top();
while (top != null && term.CompareTo(top.term) == 0)
{
match[matchSize++] = (SegmentMergeInfo) queue.Pop();
top = (SegmentMergeInfo) queue.Top();
}
MergeTermInfo(match, matchSize); // add new TermInfo
while (matchSize > 0)
{
SegmentMergeInfo smi = match[--matchSize];
if (smi.Next())
queue.Put(smi);
// restore queue
else
smi.Close(); // done with a segment
}
}
}
public MultiTermEnum(Monodoc.Lucene.Net.Index.IndexReader[] readers, int[] starts, Term t)
{
queue = new SegmentMergeQueue(readers.Length);
for (int i = 0; i < readers.Length; i++)
{
Monodoc.Lucene.Net.Index.IndexReader reader = readers[i];
TermEnum termEnum;
if (t != null)
{
termEnum = reader.Terms(t);
}
else
termEnum = reader.Terms();
SegmentMergeInfo smi = new SegmentMergeInfo(starts[i], termEnum, reader);
if (t == null?smi.Next():termEnum.Term() != null)
queue.Put(smi);
// initialize queue
else
smi.Close();
}
if (t != null && queue.Size() > 0)
{
Next();
}
}