mirror of https://github.com/tidwall/tile38.git
Changed the collection rectangle dimension type
Previously used float64s, now using float32s. Saving about 15% on rectangle memory. Uses the Roundoff trick from Sqlite.
This commit is contained in:
tidwall
parent
d5c148ca41
commit
ba9a767988
2
go.mod
2
go.mod
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@ -27,7 +27,7 @@ require (
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github.com/tidwall/redbench v0.1.0
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github.com/tidwall/redcon v1.4.4
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github.com/tidwall/resp v0.1.1
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github.com/tidwall/rtree v1.8.1
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github.com/tidwall/rtree v1.9.1
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github.com/tidwall/sjson v1.2.4
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github.com/xdg/scram v1.0.5
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github.com/yuin/gopher-lua v0.0.0-20200816102855-ee81675732da
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4
go.sum
4
go.sum
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@ -383,8 +383,8 @@ github.com/tidwall/resp v0.1.1/go.mod h1:3/FrruOBAxPTPtundW0VXgmsQ4ZBA0Aw714lVYg
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github.com/tidwall/rtred v0.1.2 h1:exmoQtOLvDoO8ud++6LwVsAMTu0KPzLTUrMln8u1yu8=
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github.com/tidwall/rtred v0.1.2/go.mod h1:hd69WNXQ5RP9vHd7dqekAz+RIdtfBogmglkZSRxCHFQ=
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github.com/tidwall/rtree v1.3.1/go.mod h1:S+JSsqPTI8LfWA4xHBo5eXzie8WJLVFeppAutSegl6M=
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github.com/tidwall/rtree v1.8.1 h1:Hv0gvvznkDI5YwBkJp9pYh8ZEU1L2A9puLwwGPcQ9j4=
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github.com/tidwall/rtree v1.8.1/go.mod h1:iDJQ9NBRtbfKkzZu02za+mIlaP+bjYPnunbSNidpbCQ=
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github.com/tidwall/rtree v1.9.1 h1:UIPtvE09nLKZRnMNEwRZxu9jRAkzROAZDR+NPS/9IRs=
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github.com/tidwall/rtree v1.9.1/go.mod h1:iDJQ9NBRtbfKkzZu02za+mIlaP+bjYPnunbSNidpbCQ=
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github.com/tidwall/sjson v1.2.4 h1:cuiLzLnaMeBhRmEv00Lpk3tkYrcxpmbU81tAY4Dw0tc=
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github.com/tidwall/sjson v1.2.4/go.mod h1:098SZ494YoMWPmMO6ct4dcFnqxwj9r/gF0Etp19pSNM=
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github.com/tidwall/tinyqueue v0.1.1 h1:SpNEvEggbpyN5DIReaJ2/1ndroY8iyEGxPYxoSaymYE=
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@ -56,10 +56,17 @@ func byExpires(a, b *itemT) bool {
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return byID(a, b)
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}
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func (item *itemT) Rect() geometry.Rect {
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if item.obj != nil {
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return item.obj.Rect()
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}
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return geometry.Rect{}
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}
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// Collection represents a collection of geojson objects.
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type Collection struct {
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items *btree.BTreeG[*itemT] // items sorted by id
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spatial *rtree.RTreeG[*itemT] // items geospatially indexed
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spatial *rtree.RTreeGN[float32, *itemT] // items geospatially indexed
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values *btree.BTreeG[*itemT] // items sorted by value+id
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expires *btree.BTreeG[*itemT] // items sorted by ex+id
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weight int
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@ -76,7 +83,7 @@ func New() *Collection {
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items: btree.NewBTreeGOptions(byID, optsNoLock),
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values: btree.NewBTreeGOptions(byValue, optsNoLock),
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expires: btree.NewBTreeGOptions(byExpires, optsNoLock),
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spatial: &rtree.RTreeG[*itemT]{},
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spatial: &rtree.RTreeGN[float32, *itemT]{},
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}
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return col
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}
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@ -103,11 +110,15 @@ func (c *Collection) TotalWeight() int {
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// Bounds returns the bounds of all the items in the collection.
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func (c *Collection) Bounds() (minX, minY, maxX, maxY float64) {
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min, max := c.spatial.Bounds()
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if len(min) >= 2 && len(max) >= 2 {
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return min[0], min[1], max[0], max[1]
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}
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_, _, left := c.spatial.LeftMost()
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_, _, bottom := c.spatial.BottomMost()
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_, _, right := c.spatial.RightMost()
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_, _, top := c.spatial.TopMost()
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if left == nil {
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return
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}
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return left.Rect().Min.X, bottom.Rect().Min.Y,
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right.Rect().Max.X, top.Rect().Max.Y
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}
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func objIsSpatial(obj geojson.Object) bool {
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@ -129,21 +140,54 @@ func (c *Collection) objWeight(item *itemT) int {
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func (c *Collection) indexDelete(item *itemT) {
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if !item.obj.Empty() {
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rect := item.obj.Rect()
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c.spatial.Delete(
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[2]float64{rect.Min.X, rect.Min.Y},
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[2]float64{rect.Max.X, rect.Max.Y},
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item)
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c.spatial.Delete(rtreeItem(item))
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}
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}
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func (c *Collection) indexInsert(item *itemT) {
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if !item.obj.Empty() {
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rect := item.obj.Rect()
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c.spatial.Insert(
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[2]float64{rect.Min.X, rect.Min.Y},
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[2]float64{rect.Max.X, rect.Max.Y},
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item)
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c.spatial.Insert(rtreeItem(item))
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}
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}
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const dRNDTOWARDS = (1.0 - 1.0/8388608.0) /* Round towards zero */
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const dRNDAWAY = (1.0 + 1.0/8388608.0) /* Round away from zero */
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func rtreeValueDown(d float64) float32 {
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f := float32(d)
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if float64(f) > d {
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if d < 0 {
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f = float32(d * dRNDAWAY)
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} else {
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f = float32(d * dRNDTOWARDS)
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}
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}
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return f
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}
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func rtreeValueUp(d float64) float32 {
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f := float32(d)
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if float64(f) < d {
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if d < 0 {
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f = float32(d * dRNDTOWARDS)
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} else {
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f = float32(d * dRNDAWAY)
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}
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}
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return f
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}
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func rtreeItem(item *itemT) (min, max [2]float32, data *itemT) {
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min, max = rtreeRect(item.Rect())
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return min, max, item
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}
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func rtreeRect(rect geometry.Rect) (min, max [2]float32) {
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return [2]float32{
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rtreeValueDown(rect.Min.X),
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rtreeValueDown(rect.Min.Y),
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}, [2]float32{
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rtreeValueUp(rect.Max.X),
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rtreeValueUp(rect.Max.Y),
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}
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}
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@ -429,10 +473,10 @@ func (c *Collection) geoSearch(
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iter func(id string, obj geojson.Object, fields field.List) bool,
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) bool {
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alive := true
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min, max := rtreeRect(rect)
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c.spatial.Search(
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[2]float64{rect.Min.X, rect.Min.Y},
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[2]float64{rect.Max.X, rect.Max.Y},
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func(_, _ [2]float64, item *itemT) bool {
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min, max,
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func(_, _ [2]float32, item *itemT) bool {
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alive = iter(item.id, item.obj, item.fields)
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return alive
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},
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@ -618,10 +662,19 @@ func (c *Collection) Nearby(
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minLat, minLon, maxLat, maxLon :=
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geo.RectFromCenter(center.Y, center.X, meters)
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var exists bool
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min, max := rtreeRect(geometry.Rect{
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Min: geometry.Point{
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X: minLon,
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Y: minLat,
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},
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Max: geometry.Point{
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X: maxLon,
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Y: maxLat,
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},
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})
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c.spatial.Search(
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[2]float64{minLon, minLat},
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[2]float64{maxLon, maxLat},
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func(_, _ [2]float64, item *itemT) bool {
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min, max,
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func(_, _ [2]float32, item *itemT) bool {
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exists = true
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return false
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},
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@ -641,15 +694,22 @@ func (c *Collection) Nearby(
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offset = cursor.Offset()
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cursor.Step(offset)
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}
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distFn := geodeticDistAlgo[*itemT]([2]float64{center.X, center.Y})
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c.spatial.Nearby(
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geodeticDistAlgo[*itemT]([2]float64{center.X, center.Y}),
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func(_, _ [2]float64, item *itemT, dist float64) bool {
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func(min, max [2]float32, data *itemT, item bool) float32 {
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return float32(distFn(
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[2]float64{float64(min[0]), float64(min[1])},
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[2]float64{float64(max[0]), float64(max[1])},
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data, item,
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))
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},
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func(_, _ [2]float32, item *itemT, dist float32) bool {
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count++
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if count <= offset {
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return true
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}
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nextStep(count, cursor, deadline)
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alive = iter(item.id, item.obj, item.fields, dist)
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alive = iter(item.id, item.obj, item.fields, float64(dist))
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return alive
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},
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)
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@ -46,7 +46,7 @@ func keys_KNN_basic_test(mc *mockServer) error {
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{"NEARBY", "mykey", "LIMIT", 10, "POINTS", "POINT", 20, 20}, {
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"[0 [[2 [19 19]] [3 [12 19]] [5 [33 21]] [1 [5 5]] [4 [-5 5]] [6 [52 13]]]]"},
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{"NEARBY", "mykey", "LIMIT", 10, "IDS", "POINT", 20, 20, 4000000}, {"[0 [2 3 5 1 4 6]]"},
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{"NEARBY", "mykey", "LIMIT", 10, "DISTANCE", "IDS", "POINT", 20, 20, 1500000}, {"[0 [[2 152808.67164037024] [3 895945.1409106688] [5 1448929.5916252395]]]"},
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{"NEARBY", "mykey", "LIMIT", 10, "DISTANCE", "IDS", "POINT", 20, 20, 1500000}, {"[0 [[2 152808.671875] [3 895945.125] [5 1448929.625]]]"},
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{"NEARBY", "mykey", "LIMIT", 10, "DISTANCE", "POINT", 52, 13, 100}, {`[0 [[6 {"type":"Point","coordinates":[13,52]} 0]]]`},
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{"NEARBY", "mykey", "LIMIT", 10, "POINT", 52.1, 13.1, 100000}, {`[0 [[6 {"type":"Point","coordinates":[13,52]}]]]`},
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{"OUTPUT", "json"}, {func(res string) bool { return gjson.Get(res, "ok").Bool() }},
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