frostfs-sdk-go/netmap/selector.go
Evgenii Stratonikov 7c75db2f2d [#59] netmap: Remove unused param from getSelection()
Signed-off-by: Evgenii Stratonikov <e.stratonikov@yadro.com>
2023-04-18 14:11:04 +00:00

167 lines
4.3 KiB
Go

package netmap
import (
"fmt"
"sort"
"git.frostfs.info/TrueCloudLab/frostfs-api-go/v2/netmap"
"git.frostfs.info/TrueCloudLab/hrw"
)
// processSelectors processes selectors and returns error is any of them is invalid.
func (c *context) processSelectors(p PlacementPolicy) error {
for i := range p.selectors {
fName := p.selectors[i].GetFilter()
if fName != mainFilterName {
_, ok := c.processedFilters[p.selectors[i].GetFilter()]
if !ok {
return fmt.Errorf("%w: SELECT FROM '%s'", errFilterNotFound, fName)
}
}
sName := p.selectors[i].GetName()
c.processedSelectors[sName] = &p.selectors[i]
result, err := c.getSelection(p.selectors[i])
if err != nil {
return err
}
c.selections[sName] = result
}
return nil
}
// calcNodesCount returns number of buckets and minimum number of nodes in every bucket
// for the given selector.
func calcNodesCount(s netmap.Selector) (int, int) {
switch s.GetClause() {
case netmap.Same:
return 1, int(s.GetCount())
default:
return int(s.GetCount()), 1
}
}
// calcBucketWeight computes weight for a node bucket.
func calcBucketWeight(ns nodes, a aggregator, wf weightFunc) float64 {
for i := range ns {
a.Add(wf(ns[i]))
}
return a.Compute()
}
// getSelection returns nodes grouped by s.attribute.
// Last argument specifies if more buckets can be used to fulfill CBF.
func (c *context) getSelection(s netmap.Selector) ([]nodes, error) {
bucketCount, nodesInBucket := calcNodesCount(s)
buckets := c.getSelectionBase(s)
if len(buckets) < bucketCount {
return nil, fmt.Errorf("%w: '%s'", errNotEnoughNodes, s.GetName())
}
// We need deterministic output in case there is no pivot.
// If pivot is set, buckets are sorted by HRW.
// However, because initial order influences HRW order for buckets with equal weights,
// we also need to have deterministic input to HRW sorting routine.
if len(c.hrwSeed) == 0 {
if s.GetAttribute() == "" {
sort.Slice(buckets, func(i, j int) bool {
return less(buckets[i].nodes[0], buckets[j].nodes[0])
})
} else {
sort.Slice(buckets, func(i, j int) bool {
return buckets[i].attr < buckets[j].attr
})
}
}
maxNodesInBucket := nodesInBucket * int(c.cbf)
res := make([]nodes, 0, len(buckets))
fallback := make([]nodes, 0, len(buckets))
for i := range buckets {
ns := buckets[i].nodes
if len(ns) >= maxNodesInBucket {
res = append(res, ns[:maxNodesInBucket])
} else if len(ns) >= nodesInBucket {
fallback = append(fallback, ns)
}
}
if len(res) < bucketCount {
// Fallback to using minimum allowed backup factor (1).
res = append(res, fallback...)
if len(res) < bucketCount {
return nil, fmt.Errorf("%w: '%s'", errNotEnoughNodes, s.GetName())
}
}
if len(c.hrwSeed) != 0 {
weights := make([]float64, len(res))
for i := range res {
weights[i] = calcBucketWeight(res[i], newMeanIQRAgg(), c.weightFunc)
}
hrw.SortHasherSliceByWeightValue(res, weights, c.hrwSeedHash)
}
if s.GetAttribute() == "" {
res, fallback = res[:bucketCount], res[bucketCount:]
for i := range fallback {
index := i % bucketCount
if len(res[index]) >= maxNodesInBucket {
break
}
res[index] = append(res[index], fallback[i]...)
}
}
return res[:bucketCount], nil
}
type nodeAttrPair struct {
attr string
nodes nodes
}
// getSelectionBase returns nodes grouped by selector attribute.
// It it guaranteed that each pair will contain at least one node.
func (c *context) getSelectionBase(s netmap.Selector) []nodeAttrPair {
fName := s.GetFilter()
f := c.processedFilters[fName]
isMain := fName == mainFilterName
result := []nodeAttrPair{}
nodeMap := map[string][]NodeInfo{}
attr := s.GetAttribute()
for i := range c.netMap.nodes {
if isMain || c.match(f, c.netMap.nodes[i]) {
if attr == "" {
// Default attribute is transparent identifier which is different for every node.
result = append(result, nodeAttrPair{attr: "", nodes: nodes{c.netMap.nodes[i]}})
} else {
v := c.netMap.nodes[i].Attribute(attr)
nodeMap[v] = append(nodeMap[v], c.netMap.nodes[i])
}
}
}
if attr != "" {
for k, ns := range nodeMap {
result = append(result, nodeAttrPair{attr: k, nodes: ns})
}
}
if len(c.hrwSeed) != 0 {
for i := range result {
hrw.SortHasherSliceByWeightValue(result[i].nodes, result[i].nodes.weights(c.weightFunc), c.hrwSeedHash)
}
}
return result
}