Tests: allocation ceilings for deeply nested and wide renders
This commit is contained in:
@@ -0,0 +1,76 @@
|
||||
package fejkdata
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"strings"
|
||||
"testing"
|
||||
"testing/fstest"
|
||||
)
|
||||
|
||||
// The renderer's cost scales with the shape it renders: a deep nest descends one
|
||||
// level per field, a wide format expands one token per field. The ceiling tests
|
||||
// below pin the allocations one render costs for those shapes, so a change that
|
||||
// adds a per-level or per-token allocation (a lost pre-size, a per-item map, an
|
||||
// extra copy) fails unless the baseline is bumped as a deliberate decision.
|
||||
|
||||
// nestedJSON nests a template depth times: each level's format renders its field
|
||||
// "a", which is the next template down, so one Fake call recurses depth levels.
|
||||
func nestedJSON(depth int) string {
|
||||
s := `"leaf"`
|
||||
for i := 0; i < depth; i++ {
|
||||
s = fmt.Sprintf(`{"format":"{a}","a":%s}`, s)
|
||||
}
|
||||
return s
|
||||
}
|
||||
|
||||
// wideTokenJSON is one format with n sibling fields, so one Fake call expands n
|
||||
// tokens.
|
||||
func wideTokenJSON(n int) string {
|
||||
var toks, fields strings.Builder
|
||||
for i := 0; i < n; i++ {
|
||||
fmt.Fprintf(&toks, "{f%d}", i)
|
||||
if i > 0 {
|
||||
fields.WriteByte(',')
|
||||
}
|
||||
fmt.Fprintf(&fields, `"f%d":"x"`, i)
|
||||
}
|
||||
return fmt.Sprintf(`{"format":"%s",%s}`, toks.String(), fields.String())
|
||||
}
|
||||
|
||||
// TestNoRenderAllocRegression fails when a render allocates more than 10% past its
|
||||
// recorded baseline. Allocations are deterministic across machines, so this gate
|
||||
// cannot flake under CI load the way a wall-clock ceiling would; a real slowdown
|
||||
// almost always costs an allocation too. Raising a baseline here is a deliberate
|
||||
// "we accept this cost" decision.
|
||||
func TestNoRenderAllocRegression(t *testing.T) {
|
||||
shapes := []struct {
|
||||
name string
|
||||
json string
|
||||
base float64
|
||||
}{
|
||||
{"nested depth 25", nestedJSON(25), 27},
|
||||
{"nested depth 100", nestedJSON(100), 102},
|
||||
{"wide 500 tokens", wideTokenJSON(500), 9},
|
||||
}
|
||||
for _, s := range shapes {
|
||||
f, err := New(WithoutShippedData(), WithDataFS(fstest.MapFS{"x.json": {Data: []byte(s.json)}}))
|
||||
if err != nil {
|
||||
t.Fatalf("New(%s): %v", s.name, err)
|
||||
}
|
||||
allocs := testing.AllocsPerRun(10000, func() { f.Fake("x") })
|
||||
if allocs > s.base*1.10 {
|
||||
t.Errorf("%s: %.1f allocs/op regressed past %.1f (baseline %.1f + 10%%); bump the baseline only as a deliberate change", s.name, allocs, s.base*1.10, s.base)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// A few depth/width benchmarks so the time trend stays visible next to the
|
||||
// allocation gate.
|
||||
func BenchmarkNestedDepth25(b *testing.B) { benchPath(b, tmpData(b, "deep", nestedJSON(25)), "deep") }
|
||||
func BenchmarkNestedDepth100(b *testing.B) { benchPath(b, tmpData(b, "deep", nestedJSON(100)), "deep") }
|
||||
func BenchmarkWideTokens100(b *testing.B) {
|
||||
benchPath(b, tmpData(b, "wide", wideTokenJSON(100)), "wide")
|
||||
}
|
||||
func BenchmarkWideTokens500(b *testing.B) {
|
||||
benchPath(b, tmpData(b, "wide", wideTokenJSON(500)), "wide")
|
||||
}
|
||||
Reference in New Issue
Block a user