Example #1
0
func (udc *UpsideDownCouch) indexField(docID string, field document.Field, fieldIndex uint16, fieldLength int, tokenFreqs analysis.TokenFrequencies) ([]UpsideDownCouchRow, []*BackIndexTermEntry) {

	rows := make([]UpsideDownCouchRow, 0, 100)
	backIndexTermEntries := make([]*BackIndexTermEntry, 0)
	fieldNorm := float32(1.0 / math.Sqrt(float64(fieldLength)))

	for _, tf := range tokenFreqs {
		var termFreqRow *TermFrequencyRow
		if field.Options().IncludeTermVectors() {
			tv, newFieldRows := udc.termVectorsFromTokenFreq(fieldIndex, tf)
			rows = append(rows, newFieldRows...)
			termFreqRow = NewTermFrequencyRowWithTermVectors(tf.Term, fieldIndex, docID, uint64(frequencyFromTokenFreq(tf)), fieldNorm, tv)
		} else {
			termFreqRow = NewTermFrequencyRow(tf.Term, fieldIndex, docID, uint64(frequencyFromTokenFreq(tf)), fieldNorm)
		}

		// record the back index entry
		backIndexTermEntry := BackIndexTermEntry{Term: proto.String(string(tf.Term)), Field: proto.Uint32(uint32(fieldIndex))}
		backIndexTermEntries = append(backIndexTermEntries, &backIndexTermEntry)

		rows = append(rows, termFreqRow)
	}

	return rows, backIndexTermEntries
}
Example #2
0
func (udc *SmolderingCouch) storeField(docNum []byte, field document.Field, fieldIndex uint16, rows []index.IndexRow, backIndexStoredEntries []*BackIndexStoreEntry) ([]index.IndexRow, []*BackIndexStoreEntry) {
	fieldType := encodeFieldType(field)
	storedRow := NewStoredRow(docNum, fieldIndex, field.ArrayPositions(), fieldType, field.Value())

	// record the back index entry
	backIndexStoredEntry := BackIndexStoreEntry{Field: proto.Uint32(uint32(fieldIndex)), ArrayPositions: field.ArrayPositions()}

	return append(rows, storedRow), append(backIndexStoredEntries, &backIndexStoredEntry)
}
Example #3
0
func (udc *UpsideDownCouch) storeField(docID string, field document.Field, fieldIndex uint16) ([]UpsideDownCouchRow, []*BackIndexStoreEntry) {
	rows := make([]UpsideDownCouchRow, 0, 100)
	backIndexStoredEntries := make([]*BackIndexStoreEntry, 0)
	fieldType := encodeFieldType(field)
	storedRow := NewStoredRow(docID, fieldIndex, field.ArrayPositions(), fieldType, field.Value())

	// record the back index entry
	backIndexStoredEntry := BackIndexStoreEntry{Field: proto.Uint32(uint32(fieldIndex)), ArrayPositions: field.ArrayPositions()}
	backIndexStoredEntries = append(backIndexStoredEntries, &backIndexStoredEntry)

	rows = append(rows, storedRow)
	return rows, backIndexStoredEntries
}
Example #4
0
func (f *Firestorm) storeField(docID []byte, docNum uint64, field document.Field, fieldIndex uint16) index.IndexRow {
	fieldValue := make([]byte, 1+len(field.Value()))
	fieldValue[0] = encodeFieldType(field)
	copy(fieldValue[1:], field.Value())
	storedRow := NewStoredRow(docID, docNum, fieldIndex, field.ArrayPositions(), fieldValue)
	return storedRow
}
Example #5
0
func (udc *UpsideDownCouch) storeField(docID string, field document.Field, fieldIndex uint16, existingKeys map[string]bool) ([]UpsideDownCouchRow, []UpsideDownCouchRow, []*BackIndexStoreEntry) {
	updateRows := make([]UpsideDownCouchRow, 0)
	addRows := make([]UpsideDownCouchRow, 0)
	backIndexStoredEntries := make([]*BackIndexStoreEntry, 0)
	fieldType := encodeFieldType(field)
	storedRow := NewStoredRow(docID, fieldIndex, field.ArrayPositions(), fieldType, field.Value())

	// record the back index entry
	backIndexStoredEntry := BackIndexStoreEntry{Field: proto.Uint32(uint32(fieldIndex)), ArrayPositions: field.ArrayPositions()}
	backIndexStoredEntries = append(backIndexStoredEntries, &backIndexStoredEntry)

	storedRowKey := string(storedRow.Key())
	_, existed := existingKeys[storedRowKey]
	if existed {
		// this is an update
		updateRows = append(updateRows, storedRow)
		// this field was stored last time, delete it from that map
		delete(existingKeys, storedRowKey)
	} else {
		addRows = append(addRows, storedRow)
	}
	return addRows, updateRows, backIndexStoredEntries
}
Example #6
0
func (udc *UpsideDownCouch) indexField(docID string, field document.Field, fieldIndex uint16, fieldLength int, tokenFreqs analysis.TokenFrequencies, existingKeys map[string]bool) ([]UpsideDownCouchRow, []UpsideDownCouchRow, []*BackIndexTermEntry) {

	updateRows := make([]UpsideDownCouchRow, 0)
	addRows := make([]UpsideDownCouchRow, 0)
	backIndexTermEntries := make([]*BackIndexTermEntry, 0)
	fieldNorm := float32(1.0 / math.Sqrt(float64(fieldLength)))

	for _, tf := range tokenFreqs {
		var termFreqRow *TermFrequencyRow
		if field.Options().IncludeTermVectors() {
			tv, newFieldRows := udc.termVectorsFromTokenFreq(fieldIndex, tf)
			updateRows = append(updateRows, newFieldRows...)
			termFreqRow = NewTermFrequencyRowWithTermVectors(tf.Term, fieldIndex, docID, uint64(frequencyFromTokenFreq(tf)), fieldNorm, tv)
		} else {
			termFreqRow = NewTermFrequencyRow(tf.Term, fieldIndex, docID, uint64(frequencyFromTokenFreq(tf)), fieldNorm)
		}

		// record the back index entry
		backIndexTermEntry := BackIndexTermEntry{Term: proto.String(string(tf.Term)), Field: proto.Uint32(uint32(fieldIndex))}
		backIndexTermEntries = append(backIndexTermEntries, &backIndexTermEntry)

		tfrKeyString := string(termFreqRow.Key())
		_, existed := existingKeys[tfrKeyString]
		if existed {
			// this is an update
			updateRows = append(updateRows, termFreqRow)
			// this term existed last time, delete it from that map
			delete(existingKeys, tfrKeyString)
		} else {
			// this is an add
			addRows = append(addRows, termFreqRow)
		}
	}

	return addRows, updateRows, backIndexTermEntries
}