forked from TrueCloudLab/frostfs-sdk-go
91 lines
2.1 KiB
Go
91 lines
2.1 KiB
Go
package netmap
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import (
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"errors"
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"github.com/nspcc-dev/hrw"
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"github.com/nspcc-dev/neofs-api-go/v2/netmap"
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)
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// context of a placement build process.
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type context struct {
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// network map to operate on
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netMap NetMap
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// cache of processed filters
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processedFilters map[string]*netmap.Filter
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// cache of processed selectors
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processedSelectors map[string]*netmap.Selector
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// stores results of selector processing
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selections map[string][]nodes
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// cache of parsed numeric values
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numCache map[string]uint64
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hrwSeed []byte
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// hrw.Hash of hrwSeed
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hrwSeedHash uint64
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// weightFunc is a weighting function for determining node priority
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// which combines low price and high performance
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weightFunc weightFunc
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// container backup factor
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cbf uint32
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}
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// Various validation errors.
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var (
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errInvalidFilterName = errors.New("filter name is invalid")
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errInvalidNumber = errors.New("invalid number")
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errInvalidFilterOp = errors.New("invalid filter operation")
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errFilterNotFound = errors.New("filter not found")
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errNonEmptyFilters = errors.New("simple filter contains sub-filters")
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errNotEnoughNodes = errors.New("not enough nodes to SELECT from")
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errUnnamedTopFilter = errors.New("unnamed top-level filter")
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)
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// newContext returns initialized context.
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func newContext(nm NetMap) *context {
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return &context{
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netMap: nm,
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processedFilters: make(map[string]*netmap.Filter),
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processedSelectors: make(map[string]*netmap.Selector),
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selections: make(map[string][]nodes),
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numCache: make(map[string]uint64),
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weightFunc: defaultWeightFunc(nm.nodes),
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}
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}
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func (c *context) setPivot(pivot []byte) {
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if len(pivot) != 0 {
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c.hrwSeed = pivot
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c.hrwSeedHash = hrw.Hash(pivot)
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}
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}
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func (c *context) setCBF(cbf uint32) {
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if cbf == 0 {
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c.cbf = 3
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} else {
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c.cbf = cbf
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}
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}
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func defaultWeightFunc(ns nodes) weightFunc {
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mean := newMeanAgg()
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min := newMinAgg()
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for i := range ns {
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mean.Add(float64(ns[i].capacity()))
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min.Add(float64(ns[i].Price()))
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}
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return newWeightFunc(
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newSigmoidNorm(mean.Compute()),
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newReverseMinNorm(min.Compute()))
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}
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