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[#227] netmap: Do not use intermediate types for placement

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Support preprocessing within the `NodeInfo` type. Provide methods for
placement directly from the `NodeInfo` type. Returns slice of slices of
`NodeInfo` from placement methods of `Netmap`. Remove no longer needed
`Node` and `Nodes` types.

```
name            old time/op    new time/op    delta
ManySelects-12    19.7µs ±14%    15.8µs ±15%  -19.70%  (p=0.000 n=20+20)

name            old alloc/op   new alloc/op   delta
ManySelects-12    8.65kB ± 0%    6.22kB ± 0%  -28.03%  (p=0.000 n=20+20)

name            old allocs/op  new allocs/op  delta
ManySelects-12      82.0 ± 0%      81.0 ± 0%   -1.22%  (p=0.000 n=20+20)
```

Signed-off-by: Leonard Lyubich <leonard@nspcc.ru>
This commit is contained in:
Leonard Lyubich 2022-06-07 05:12:39 +03:00 • committed by LeL
parent 2b21146185
commit 723ba5ee45
12 changed files with 305 additions and 246 deletions
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12
netmap/context.go
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@ -15,7 +15,7 @@ type context struct {
// Selectors stores processed selectors.
Selectors map[string]*Selector
// Selections stores result of selector processing.
Selections map[string][]Nodes
Selections map[string][]nodes
// numCache stores parsed numeric values.
numCache map[string]uint64
@ -54,11 +54,11 @@ func newContext(nm *Netmap) *context {
Netmap: nm,
Filters: make(map[string]*Filter),
Selectors: make(map[string]*Selector),
Selections: make(map[string][]Nodes),
Selections: make(map[string][]nodes),
numCache: make(map[string]uint64),
aggregator: newMeanIQRAgg,
weightFunc: GetDefaultWeightFunc(nm.Nodes),
weightFunc: GetDefaultWeightFunc(nm.nodes),
cbf: defaultCBF,
}
}
@ -79,13 +79,13 @@ func (c *context) setCBF(cbf uint32) {
}
// GetDefaultWeightFunc returns default weighting function.
func GetDefaultWeightFunc(ns Nodes) weightFunc {
func GetDefaultWeightFunc(ns nodes) weightFunc {
mean := newMeanAgg()
min := newMinAgg()
for i := range ns {
mean.Add(float64(ns[i].Capacity))
min.Add(float64(ns[i].Price))
mean.Add(float64(ns[i].capacity()))
min.Add(float64(ns[i].price()))
}
return newWeightFunc(