internal override void AddTerm(RawPostingList p0)
{
System.Diagnostics.Debug.Assert(docState.TestPoint("TermVectorsTermsWriterPerField.addTerm start"));
TermVectorsTermsWriter.PostingList p = (TermVectorsTermsWriter.PostingList)p0;
p.freq++;
if (doVectorOffsets)
{
int startOffset = fieldState.offset + offsetAttribute.StartOffset;;
int endOffset = fieldState.offset + offsetAttribute.EndOffset;
termsHashPerField.WriteVInt(1, startOffset - p.lastOffset);
termsHashPerField.WriteVInt(1, endOffset - startOffset);
p.lastOffset = endOffset;
}
if (doVectorPositions)
{
termsHashPerField.WriteVInt(0, fieldState.position - p.lastPosition);
p.lastPosition = fieldState.position;
}
}
/// <summary>Called once per field per document if term vectors
/// are enabled, to write the vectors to
/// RAMOutputStream, which is then quickly flushed to
/// the real term vectors files in the Directory.
/// </summary>
internal override void Finish()
{
System.Diagnostics.Debug.Assert(docState.TestPoint("TermVectorsTermsWriterPerField.finish start"));
int numPostings = termsHashPerField.numPostings;
System.Diagnostics.Debug.Assert(numPostings >= 0);
if (!doVectors || numPostings == 0)
{
return;
}
if (numPostings > maxNumPostings)
{
maxNumPostings = numPostings;
}
IndexOutput tvf = perThread.doc.perDocTvf;
// This is called once, after inverting all occurences
// of a given field in the doc. At this point we flush
// our hash into the DocWriter.
System.Diagnostics.Debug.Assert(fieldInfo.storeTermVector);
System.Diagnostics.Debug.Assert(perThread.VectorFieldsInOrder(fieldInfo));
perThread.doc.AddField(termsHashPerField.fieldInfo.number);
RawPostingList[] postings = termsHashPerField.SortPostings();
tvf.WriteVInt(numPostings);
byte bits = (byte)(0x0);
if (doVectorPositions)
{
bits |= TermVectorsReader.STORE_POSITIONS_WITH_TERMVECTOR;
}
if (doVectorOffsets)
{
bits |= TermVectorsReader.STORE_OFFSET_WITH_TERMVECTOR;
}
tvf.WriteByte(bits);
int encoderUpto = 0;
int lastTermBytesCount = 0;
ByteSliceReader reader = perThread.vectorSliceReader;
char[][] charBuffers = perThread.termsHashPerThread.charPool.buffers;
for (int j = 0; j < numPostings; j++)
{
TermVectorsTermsWriter.PostingList posting = (TermVectorsTermsWriter.PostingList)postings[j];
int freq = posting.freq;
char[] text2 = charBuffers[posting.textStart >> DocumentsWriter.CHAR_BLOCK_SHIFT];
int start2 = posting.textStart & DocumentsWriter.CHAR_BLOCK_MASK;
// We swap between two encoders to save copying
// last Term's byte array
UnicodeUtil.UTF8Result utf8Result = perThread.utf8Results[encoderUpto];
// TODO: we could do this incrementally
UnicodeUtil.UTF16toUTF8(text2, start2, utf8Result);
int termBytesCount = utf8Result.length;
// TODO: UTF16toUTF8 could tell us this prefix
// Compute common prefix between last term and
// this term
int prefix = 0;
if (j > 0)
{
byte[] lastTermBytes = perThread.utf8Results[1 - encoderUpto].result;
byte[] termBytes = perThread.utf8Results[encoderUpto].result;
while (prefix < lastTermBytesCount && prefix < termBytesCount)
{
if (lastTermBytes[prefix] != termBytes[prefix])
{
break;
}
prefix++;
}
}
encoderUpto = 1 - encoderUpto;
lastTermBytesCount = termBytesCount;
int suffix = termBytesCount - prefix;
tvf.WriteVInt(prefix);
tvf.WriteVInt(suffix);
tvf.WriteBytes(utf8Result.result, prefix, suffix);
tvf.WriteVInt(freq);
if (doVectorPositions)
{
termsHashPerField.InitReader(reader, posting, 0);
reader.WriteTo(tvf);
}
if (doVectorOffsets)
{
termsHashPerField.InitReader(reader, posting, 1);
reader.WriteTo(tvf);
}
}
termsHashPerField.Reset();
// NOTE: we clear, per-field, at the thread level,
// because term vectors fully write themselves on each
// field; this saves RAM (eg if large doc has two large
// fields w/ term vectors on) because we recycle/reuse
// all RAM after each field:
perThread.termsHashPerThread.Reset(false);
}
