本文整理汇总了Golang中github.com/blevesearch/bleve/document.Field.Options方法的典型用法代码示例。如果您正苦于以下问题：Golang Field.Options方法的具体用法？Golang Field.Options怎么用？Golang Field.Options使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类github.com/blevesearch/bleve/document.Field的用法示例。
在下文中一共展示了Field.Options方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Golang代码示例。
示例1: indexField
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
}示例2: indexField
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
}