本文整理匯總了Golang中github.com/blevesearch/bleve/search.FacetResult.Other方法的典型用法代碼示例。如果您正苦於以下問題：Golang FacetResult.Other方法的具體用法？Golang FacetResult.Other怎麽用？Golang FacetResult.Other使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類github.com/blevesearch/bleve/search.FacetResult的用法示例。
在下文中一共展示了FacetResult.Other方法的5個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Golang代碼示例。
示例1: Result
func (fb *TermsFacetBuilder) Result() *search.FacetResult {
rv := search.FacetResult{
Field: fb.field,
Total: fb.total,
Missing: fb.missing,
}
rv.Terms = make([]*search.TermFacet, 0, len(fb.termsCount))
for term, count := range fb.termsCount {
tf := &search.TermFacet{
Term: term,
Count: count,
}
rv.Terms = append(rv.Terms, tf)
}
sort.Sort(rv.Terms)
// we now have the list of the top N facets
trimTopN := fb.size
if trimTopN > len(rv.Terms) {
trimTopN = len(rv.Terms)
}
rv.Terms = rv.Terms[:trimTopN]
notOther := 0
for _, tf := range rv.Terms {
notOther += tf.Count
}
rv.Other = fb.total - notOther
return &rv
}示例2: Result
func (fb *NumericFacetBuilder) Result() search.FacetResult {
rv := search.FacetResult{
Field: fb.field,
Total: fb.total,
Missing: fb.missing,
}
// FIXME better implementation needed here this is quick and dirty
topN := list.New()
// walk entries and find top N
OUTER:
for term, count := range fb.termsCount {
numericRange := fb.ranges[term]
tf := &search.NumericRangeFacet{
Name: term,
Count: count,
Min: numericRange.min,
Max: numericRange.max,
}
for e := topN.Front(); e != nil; e = e.Next() {
curr := e.Value.(*search.NumericRangeFacet)
if tf.Count < curr.Count {
topN.InsertBefore(tf, e)
// if we just made the list too long
if topN.Len() > fb.size {
// remove the head
topN.Remove(topN.Front())
}
continue OUTER
}
}
// if we got to the end, we still have to add it
topN.PushBack(tf)
if topN.Len() > fb.size {
// remove the head
topN.Remove(topN.Front())
}
}
// we now have the list of the top N facets
rv.NumericRanges = make([]*search.NumericRangeFacet, topN.Len())
i := 0
notOther := 0
for e := topN.Back(); e != nil; e = e.Prev() {
rv.NumericRanges[i] = e.Value.(*search.NumericRangeFacet)
i++
notOther += e.Value.(*search.NumericRangeFacet).Count
}
rv.Other = fb.total - notOther
return rv
}示例3: Result
func (fb *DateTimeFacetBuilder) Result() *search.FacetResult {
rv := search.FacetResult{
Field: fb.field,
Total: fb.total,
Missing: fb.missing,
}
rv.DateRanges = make([]*search.DateRangeFacet, 0, len(fb.termsCount))
for term, count := range fb.termsCount {
dateRange := fb.ranges[term]
tf := &search.DateRangeFacet{
Name: term,
Count: count,
}
if !dateRange.start.IsZero() {
start := dateRange.start.Format(time.RFC3339Nano)
tf.Start = &start
}
if !dateRange.end.IsZero() {
end := dateRange.end.Format(time.RFC3339Nano)
tf.End = &end
}
rv.DateRanges = append(rv.DateRanges, tf)
}
sort.Sort(rv.DateRanges)
// we now have the list of the top N facets
if fb.size < len(rv.DateRanges) {
rv.DateRanges = rv.DateRanges[:fb.size]
}
notOther := 0
for _, nr := range rv.DateRanges {
notOther += nr.Count
}
rv.Other = fb.total - notOther
return &rv
}示例4: Result
func (fb *NumericFacetBuilder) Result() *search.FacetResult {
rv := search.FacetResult{
Field: fb.field,
Total: fb.total,
Missing: fb.missing,
}
rv.NumericRanges = make([]*search.NumericRangeFacet, 0, len(fb.termsCount))
for term, count := range fb.termsCount {
numericRange := fb.ranges[term]
tf := &search.NumericRangeFacet{
Name: term,
Count: count,
Min: numericRange.min,
Max: numericRange.max,
}
rv.NumericRanges = append(rv.NumericRanges, tf)
}
sort.Sort(rv.NumericRanges)
// we now have the list of the top N facets
if fb.size < len(rv.NumericRanges) {
rv.NumericRanges = rv.NumericRanges[:fb.size]
}
notOther := 0
for _, nr := range rv.NumericRanges {
notOther += nr.Count
}
rv.Other = fb.total - notOther
return &rv
}示例5: Result
func (fb *DateTimeFacetBuilder) Result() *search.FacetResult {
rv := search.FacetResult{
Field: fb.field,
Total: fb.total,
Missing: fb.missing,
}
// FIXME better implementation needed here this is quick and dirty
topN := list.New()
// walk entries and find top N
OUTER:
for term, count := range fb.termsCount {
dateRange := fb.ranges[term]
tf := &search.DateRangeFacet{
Name: term,
Count: count,
}
if !dateRange.start.IsZero() {
start := dateRange.start.Format(time.RFC3339Nano)
tf.Start = &start
}
if !dateRange.end.IsZero() {
end := dateRange.end.Format(time.RFC3339Nano)
tf.End = &end
}
for e := topN.Front(); e != nil; e = e.Next() {
curr := e.Value.(*search.DateRangeFacet)
if tf.Count < curr.Count {
topN.InsertBefore(tf, e)
// if we just made the list too long
if topN.Len() > fb.size {
// remove the head
topN.Remove(topN.Front())
}
continue OUTER
}
}
// if we got to the end, we still have to add it
topN.PushBack(tf)
if topN.Len() > fb.size {
// remove the head
topN.Remove(topN.Front())
}
}
// we now have the list of the top N facets
rv.DateRanges = make([]*search.DateRangeFacet, topN.Len())
i := 0
notOther := 0
for e := topN.Back(); e != nil; e = e.Prev() {
rv.DateRanges[i] = e.Value.(*search.DateRangeFacet)
i++
notOther += e.Value.(*search.DateRangeFacet).Count
}
rv.Other = fb.total - notOther
return &rv
}