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insert.go
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insert.go
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//
// Copyright (C) 2019-2020 Vdaas.org Vald team ( kpango, rinx, kmrmt )
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// Package strategy provides benchmark strategy
package strategy
import (
"context"
"sync/atomic"
"testing"
"github.com/vdaas/vald/hack/benchmark/core/benchmark"
"github.com/vdaas/vald/hack/benchmark/internal/assets"
"github.com/vdaas/vald/hack/benchmark/internal/core"
)
func NewInsert(opts ...StrategyOption) benchmark.Strategy {
return newStrategy(append([]StrategyOption{
WithPropName("Insert"),
WithProp32(
func(ctx context.Context, b *testing.B, c core.Core32, dataset assets.Dataset, ids []uint, cnt *uint64) (interface{}, error) {
train := dataset.Train()
return c.Insert(train[int(atomic.LoadUint64(cnt))%len(train)])
},
),
WithProp64(
func(ctx context.Context, b *testing.B, c core.Core64, dataset assets.Dataset, ids []uint, cnt *uint64) (interface{}, error) {
train := dataset.TrainAsFloat64()
return c.Insert(train[int(atomic.LoadUint64(cnt))%len(train)])
},
),
}, opts...)...)
}