forked from TrueCloudLab/frostfs-sdk-go
182 lines
4.6 KiB
Go
182 lines
4.6 KiB
Go
package netmap
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import (
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"cmp"
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"fmt"
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"slices"
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"git.frostfs.info/TrueCloudLab/frostfs-sdk-go/api/netmap"
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"git.frostfs.info/TrueCloudLab/hrw"
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)
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// processSelectors processes selectors and returns error is any of them is invalid.
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func (c *context) processSelectors(p PlacementPolicy) error {
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for i := range p.selectors {
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fName := p.selectors[i].GetFilter()
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if fName != mainFilterName {
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_, ok := c.processedFilters[p.selectors[i].GetFilter()]
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if !ok {
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return fmt.Errorf("%w: SELECT FROM '%s'", errFilterNotFound, fName)
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}
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}
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sName := p.selectors[i].GetName()
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c.processedSelectors[sName] = &p.selectors[i]
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result, err := c.getSelection(p.selectors[i])
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if err != nil {
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return err
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}
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c.selections[sName] = result
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}
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return nil
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}
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// calcNodesCount returns number of buckets and minimum number of nodes in every bucket
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// for the given selector.
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func calcNodesCount(s netmap.Selector) (int, int) {
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switch s.GetClause() {
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case netmap.Same:
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return 1, int(s.GetCount())
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default:
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return int(s.GetCount()), 1
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}
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}
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// calcBucketWeight computes weight for a node bucket.
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func calcBucketWeight(ns nodes, a aggregator, wf weightFunc) float64 {
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for i := range ns {
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a.Add(wf(ns[i]))
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}
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return a.Compute()
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}
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// getSelection returns nodes grouped by s.attribute.
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// Last argument specifies if more buckets can be used to fulfill CBF.
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func (c *context) getSelection(s netmap.Selector) ([]nodes, error) {
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bucketCount, nodesInBucket := calcNodesCount(s)
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buckets := c.getSelectionBase(s)
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if c.strict && len(buckets) < bucketCount {
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return nil, fmt.Errorf("%w: '%s'", errNotEnoughNodes, s.GetName())
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}
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// We need deterministic output in case there is no pivot.
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// If pivot is set, buckets are sorted by HRW.
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// However, because initial order influences HRW order for buckets with equal weights,
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// we also need to have deterministic input to HRW sorting routine.
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if len(c.hrwSeed) == 0 {
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if s.GetAttribute() == "" {
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slices.SortFunc(buckets, func(b1, b2 nodeAttrPair) int {
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return cmp.Compare(b1.nodes[0].Hash(), b2.nodes[0].Hash())
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})
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} else {
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slices.SortFunc(buckets, func(b1, b2 nodeAttrPair) int {
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return cmp.Compare(b1.attr, b2.attr)
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})
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}
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}
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maxNodesInBucket := nodesInBucket * int(c.cbf)
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res := make([]nodes, 0, len(buckets))
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fallback := make([]nodes, 0, len(buckets))
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for i := range buckets {
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ns := buckets[i].nodes
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if len(ns) >= maxNodesInBucket {
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res = append(res, ns[:maxNodesInBucket])
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} else if len(ns) >= nodesInBucket {
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fallback = append(fallback, ns)
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}
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}
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if len(res) < bucketCount {
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// Fallback to using minimum allowed backup factor (1).
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res = append(res, fallback...)
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if c.strict && len(res) < bucketCount {
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return nil, fmt.Errorf("%w: '%s'", errNotEnoughNodes, s.GetName())
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}
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}
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if len(c.hrwSeed) != 0 {
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weights := make([]float64, len(res))
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a := new(meanIQRAgg)
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for i := range res {
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a.clear()
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weights[i] = calcBucketWeight(res[i], a, c.weightFunc)
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}
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hrw.SortHasherSliceByWeightValue(res, weights, c.hrwSeedHash)
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}
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if len(res) < bucketCount {
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if len(res) == 0 {
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return nil, errNotEnoughNodes
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}
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bucketCount = len(res)
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}
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if s.GetAttribute() == "" {
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res, fallback = res[:bucketCount], res[bucketCount:]
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for i := range fallback {
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index := i % bucketCount
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if len(res[index]) >= maxNodesInBucket {
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break
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}
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res[index] = append(res[index], fallback[i]...)
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}
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}
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return res[:bucketCount], nil
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}
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type nodeAttrPair struct {
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attr string
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nodes nodes
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}
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// getSelectionBase returns nodes grouped by selector attribute.
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// It it guaranteed that each pair will contain at least one node.
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func (c *context) getSelectionBase(s netmap.Selector) []nodeAttrPair {
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fName := s.GetFilter()
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f := c.processedFilters[fName]
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isMain := fName == mainFilterName
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result := []nodeAttrPair{}
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nodeMap := map[string][]NodeInfo{}
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attr := s.GetAttribute()
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for i := range c.netMap.nodes {
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if c.usedNodes[c.netMap.nodes[i].hash] {
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continue
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}
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if isMain || c.match(f, c.netMap.nodes[i]) {
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if attr == "" {
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// Default attribute is transparent identifier which is different for every node.
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result = append(result, nodeAttrPair{attr: "", nodes: nodes{c.netMap.nodes[i]}})
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} else {
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v := c.netMap.nodes[i].Attribute(attr)
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nodeMap[v] = append(nodeMap[v], c.netMap.nodes[i])
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}
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}
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}
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if attr != "" {
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for k, ns := range nodeMap {
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result = append(result, nodeAttrPair{attr: k, nodes: ns})
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}
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}
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if len(c.hrwSeed) != 0 {
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var ws []float64
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for i := range result {
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ws = result[i].nodes.appendWeightsTo(c.weightFunc, ws[:0])
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hrw.SortHasherSliceByWeightValue(result[i].nodes, ws, c.hrwSeedHash)
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}
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}
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return result
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}
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