Function BenchmarkDeconstruct

tempodb/encoding/vparquet4/schema_test.go:803–842

(b *testing.B)

}

func BenchmarkDeconstruct(b *testing.B) {
	meta := backend.BlockMeta{
		DedicatedColumns: test.MakeDedicatedColumns(),
	}

	batchCount := 100
	spanCounts := []int{
		100, 1000,
		10000,
	}

	poolSizes := []int{
		100_000,
		30_000_000,
	}

	for _, spanCount := range spanCounts {
		for _, poolSize := range poolSizes {
			ss := humanize.SI(float64(batchCount*spanCount), "")
			ps := humanize.SI(float64(poolSize), "")
			b.Run(fmt.Sprintf("SpanCount%v/Pool%v", ss, ps), func(b *testing.B) {
				id := test.ValidTraceID(nil)
				dbt := test.MakeTraceWithSpanCount(batchCount, spanCount, id)
				test.AddDedicatedAttributes(dbt)

				tr, _ := traceToParquet(&meta, id, dbt, nil)
				sch := parquet.SchemaOf(tr)

				b.ResetTimer()

				pool := newRowPool(poolSize)

				for i := 0; i < b.N; i++ {
					r2 := sch.Deconstruct(pool.Get(), tr)
					pool.Put(r2)
				}
			})
		}
	}
}

func TestParquetRowSizeEstimate(t *testing.T) {
	// use this test to parse actual Parquet files and compare the two methods of estimating row size