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chore: import upstream snapshot with attribution
2026-07-13 12:31:17 +08:00

782 lines
26 KiB
Go

// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you 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
//
// http://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 tasks
import (
"context"
"reflect"
"sync"
"sync/atomic"
"testing"
"time"
"github.com/apache/arrow/go/v17/arrow"
"github.com/apache/arrow/go/v17/arrow/array"
"github.com/apache/arrow/go/v17/arrow/memory"
"github.com/cockroachdb/errors"
"github.com/stretchr/testify/require"
"google.golang.org/protobuf/proto"
"github.com/milvus-io/milvus/internal/querynodev2/segments"
"github.com/milvus-io/milvus/internal/util/function/chain"
"github.com/milvus-io/milvus/internal/util/function/chain/expr"
"github.com/milvus-io/milvus/internal/util/function/chain/types"
"github.com/milvus-io/milvus/internal/util/segcore"
"github.com/milvus-io/milvus/pkg/v3/proto/internalpb"
"github.com/milvus-io/milvus/pkg/v3/proto/planpb"
"github.com/milvus-io/milvus/pkg/v3/proto/querypb"
"github.com/milvus-io/milvus/pkg/v3/util/metric"
)
func TestBoostScoreColumn(t *testing.T) {
require.Equal(t, "boost_score_0", boostScoreColumn(0))
require.Equal(t, "boost_score_3", boostScoreColumn(3))
}
func withBoostScoreCheckedAllocator(t *testing.T) {
pool := memory.NewCheckedAllocator(memory.NewGoAllocator())
oldAllocator := defaultAllocator
defaultAllocator = pool
t.Cleanup(func() {
defaultAllocator = oldAllocator
pool.AssertSize(t, 0)
})
}
func makeBoostScoreTestDF(t *testing.T, ids []int64, scores []float32, offsets []int64, chunkSizes []int64) *chain.DataFrame {
builder := chain.NewDataFrameBuilder()
builder.SetChunkSizes(chunkSizes)
idChunks := make([]arrow.Array, len(chunkSizes))
scoreChunks := make([]arrow.Array, len(chunkSizes))
offsetChunks := make([]arrow.Array, len(chunkSizes))
pos := 0
for chunkIdx, size := range chunkSizes {
idBuilder := array.NewInt64Builder(defaultAllocator)
scoreBuilder := array.NewFloat32Builder(defaultAllocator)
offsetBuilder := array.NewInt64Builder(defaultAllocator)
for rowIdx := int64(0); rowIdx < size; rowIdx++ {
idBuilder.Append(ids[pos])
scoreBuilder.Append(scores[pos])
offsetBuilder.Append(offsets[pos])
pos++
}
idChunks[chunkIdx] = idBuilder.NewArray()
scoreChunks[chunkIdx] = scoreBuilder.NewArray()
offsetChunks[chunkIdx] = offsetBuilder.NewArray()
idBuilder.Release()
scoreBuilder.Release()
offsetBuilder.Release()
}
require.NoError(t, builder.AddColumnFromChunks(types.IDFieldName, idChunks))
require.NoError(t, builder.AddColumnFromChunks(types.ScoreFieldName, scoreChunks))
require.NoError(t, builder.AddColumnFromChunks(types.SegOffsetFieldName, offsetChunks))
return builder.Build()
}
func addBoostScorePruningColumns(t *testing.T, df *chain.DataFrame) (*chain.DataFrame, string) {
builder := chain.NewDataFrameBuilder()
builder.SetChunkSizes(df.ChunkSizes())
require.NoError(t, builder.AddColumnFrom(df, types.IDFieldName))
require.NoError(t, builder.AddColumnFrom(df, types.ScoreFieldName))
require.NoError(t, builder.AddColumnFrom(df, types.SegOffsetFieldName))
elementIndicesBuilder := array.NewInt32Builder(defaultAllocator)
elementIndicesBuilder.AppendValues([]int32{0, 1, 2}, nil)
elementIndicesArr := elementIndicesBuilder.NewArray()
elementIndicesBuilder.Release()
require.NoError(t, builder.AddColumnFromChunks(elementIndicesCol, []arrow.Array{elementIndicesArr}))
groupByCol := groupByColumnName(100)
groupByBuilder := array.NewInt64Builder(defaultAllocator)
groupByBuilder.AppendValues([]int64{1000, 2000, 3000}, nil)
groupByArr := groupByBuilder.NewArray()
groupByBuilder.Release()
require.NoError(t, builder.AddColumnFromChunks(groupByCol, []arrow.Array{groupByArr}))
userFieldBuilder := array.NewInt64Builder(defaultAllocator)
userFieldBuilder.AppendValues([]int64{7, 8, 9}, nil)
userFieldArr := userFieldBuilder.NewArray()
userFieldBuilder.Release()
require.NoError(t, builder.AddColumnFromChunks("user_field", []arrow.Array{userFieldArr}))
df.Release()
return builder.Build(), groupByCol
}
func makeBoostScoreTestTask(t *testing.T, plan *planpb.PlanNode) *SearchTask {
if plan.GetVectorAnns().GetQueryInfo().GetMetricType() == "" {
plan.Node = &planpb.PlanNode_VectorAnns{
VectorAnns: &planpb.VectorANNS{
QueryInfo: &planpb.QueryInfo{MetricType: metric.COSINE},
},
}
}
blob, err := proto.Marshal(plan)
require.NoError(t, err)
return &SearchTask{
ctx: context.Background(),
req: &querypb.SearchRequest{
Req: &internalpb.SearchRequest{
SerializedExprPlan: blob,
},
},
}
}
type boostScoreOutput struct {
scores []float32
hasScore []bool
}
func mockBoostScoreRunnerFactory(outputs ...boostScoreOutput) func(boostScoreFunc, segments.Segment, *segcore.SearchRequest, *planpb.ScoreFunction) expr.BoostScoreRunner {
call := 0
return func(boostScoreFunc, segments.Segment, *segcore.SearchRequest, *planpb.ScoreFunction) expr.BoostScoreRunner {
idx := call
call++
return func(ctx context.Context, offsets *arrow.Chunked) (*arrow.Chunked, error) {
chunks := make([]arrow.Array, 0, len(offsets.Chunks()))
pos := 0
for _, offsetChunk := range offsets.Chunks() {
builder := array.NewFloat32Builder(defaultAllocator)
for rowIdx := 0; rowIdx < offsetChunk.Len(); rowIdx++ {
if outputs[idx].hasScore[pos] {
builder.Append(outputs[idx].scores[pos])
} else {
builder.AppendNull()
}
pos++
}
chunk := builder.NewArray()
builder.Release()
chunks = append(chunks, chunk)
}
return newBoostScoreTestChunked(chunks), nil
}
}
}
func newBoostScoreTestChunked(chunks []arrow.Array) *arrow.Chunked {
result := arrow.NewChunked(arrow.PrimitiveTypes.Float32, chunks)
for _, chunk := range chunks {
chunk.Release()
}
return result
}
func newConstantBoostScoreTestChunked(offsets *arrow.Chunked, score float32) *arrow.Chunked {
chunks := make([]arrow.Array, 0, len(offsets.Chunks()))
for _, offsetChunk := range offsets.Chunks() {
builder := array.NewFloat32Builder(defaultAllocator)
for rowIdx := 0; rowIdx < offsetChunk.Len(); rowIdx++ {
builder.Append(score)
}
chunk := builder.NewArray()
builder.Release()
chunks = append(chunks, chunk)
}
return newBoostScoreTestChunked(chunks)
}
func TestBuildBoostScoreChainSkipsFunctionCombineForSingleScorer(t *testing.T) {
withBoostScoreCheckedAllocator(t)
oldFactory := boostScoreRunnerFactory
boostScoreRunnerFactory = mockBoostScoreRunnerFactory(boostScoreOutput{
scores: []float32{2.0},
hasScore: []bool{true},
})
defer func() { boostScoreRunnerFactory = oldFactory }()
df := makeBoostScoreTestDF(t, []int64{1}, []float32{0.5}, []int64{10}, []int64{1})
defer df.Release()
boostChain, err := buildBoostScoreChain(
df,
nil,
nil,
[]*planpb.ScoreFunction{{Weight: 1}},
segments.ComputeScorerScoresOnChunkedOffsets,
expr.ModeSum,
expr.ModeMultiply,
)
require.NoError(t, err)
result, err := boostChain.ExecuteWithOptions(context.Background(), chain.ExecuteOptions{EnableColumnPruning: true}, df)
require.NoError(t, err)
defer result.Release()
require.Nil(t, result.Column(boostScoreColumn(0)))
require.Nil(t, result.Column(functionScoreColumn))
scores := result.Column(types.ScoreFieldName).Chunk(0).(*array.Float32)
require.InDelta(t, 1.0, scores.Value(0), 1e-6)
}
func TestBuildBoostScoreChainCombinesMultipleScorers(t *testing.T) {
withBoostScoreCheckedAllocator(t)
oldFactory := boostScoreRunnerFactory
boostScoreRunnerFactory = mockBoostScoreRunnerFactory(
boostScoreOutput{scores: []float32{2.0}, hasScore: []bool{true}},
boostScoreOutput{scores: []float32{3.0}, hasScore: []bool{true}},
)
defer func() { boostScoreRunnerFactory = oldFactory }()
df := makeBoostScoreTestDF(t, []int64{1}, []float32{0.5}, []int64{10}, []int64{1})
defer df.Release()
boostChain, err := buildBoostScoreChain(
df,
nil,
nil,
[]*planpb.ScoreFunction{{Weight: 1}, {Weight: 1}},
segments.ComputeScorerScoresOnChunkedOffsets,
expr.ModeSum,
expr.ModeMultiply,
)
require.NoError(t, err)
result, err := boostChain.ExecuteWithOptions(context.Background(), chain.ExecuteOptions{EnableColumnPruning: true}, df)
require.NoError(t, err)
defer result.Release()
require.Nil(t, result.Column(boostScoreColumn(0)))
require.Nil(t, result.Column(boostScoreColumn(1)))
require.Nil(t, result.Column(functionScoreColumn))
scores := result.Column(types.ScoreFieldName).Chunk(0).(*array.Float32)
require.InDelta(t, 2.5, scores.Value(0), 1e-6)
}
func TestApplyBoostScoresPrunesTempsAndPreservesReduceSystemColumns(t *testing.T) {
withBoostScoreCheckedAllocator(t)
oldFactory := boostScoreRunnerFactory
boostScoreRunnerFactory = mockBoostScoreRunnerFactory(boostScoreOutput{
scores: []float32{1.0, 10.0, 2.0},
hasScore: []bool{true, true, false},
})
defer func() { boostScoreRunnerFactory = oldFactory }()
df := makeBoostScoreTestDF(t,
[]int64{1, 2, 3},
[]float32{0.5, 0.2, 0.9},
[]int64{10, 20, 30},
[]int64{3},
)
df, groupByCol := addBoostScorePruningColumns(t, df)
segDFs := []*chain.DataFrame{df}
task := makeBoostScoreTestTask(t, &planpb.PlanNode{
Scorers: []*planpb.ScoreFunction{{Weight: 1}},
ScoreOption: &planpb.ScoreOption{
BoostMode: planpb.BoostMode_BoostModeMultiply,
},
})
require.NoError(t, task.applyBoostScores(segDFs, []segments.Segment{nil}, nil))
defer segDFs[0].Release()
result := segDFs[0]
ids := result.Column(types.IDFieldName).Chunk(0).(*array.Int64)
scores := result.Column(types.ScoreFieldName).Chunk(0).(*array.Float32)
require.False(t, result.HasColumn(boostScoreColumn(0)))
require.False(t, result.HasColumn(functionScoreColumn))
require.False(t, result.HasColumn("user_field"))
require.True(t, result.HasColumn(types.IDFieldName))
require.True(t, result.HasColumn(types.ScoreFieldName))
require.True(t, result.HasColumn(types.SegOffsetFieldName))
require.True(t, result.HasColumn(elementIndicesCol))
require.True(t, result.HasColumn(groupByCol))
require.Equal(t, int64(2), ids.Value(0))
require.InDelta(t, 2.0, scores.Value(0), 1e-6)
require.Equal(t, int64(3), ids.Value(1))
require.InDelta(t, 0.9, scores.Value(1), 1e-6)
require.Equal(t, int64(1), ids.Value(2))
require.InDelta(t, 0.5, scores.Value(2), 1e-6)
}
func TestApplyBoostScoresMultipleScorersCombinesScoresAndSorts(t *testing.T) {
withBoostScoreCheckedAllocator(t)
oldFactory := boostScoreRunnerFactory
boostScoreRunnerFactory = mockBoostScoreRunnerFactory(
boostScoreOutput{scores: []float32{2.0, 0.0, 3.0}, hasScore: []bool{true, false, true}},
boostScoreOutput{scores: []float32{4.0, 5.0, 0.0}, hasScore: []bool{true, true, false}},
)
defer func() { boostScoreRunnerFactory = oldFactory }()
df := makeBoostScoreTestDF(t,
[]int64{1, 2, 3},
[]float32{0.5, 0.2, 0.9},
[]int64{10, 20, 30},
[]int64{3},
)
segDFs := []*chain.DataFrame{df}
task := makeBoostScoreTestTask(t, &planpb.PlanNode{
Scorers: []*planpb.ScoreFunction{{Weight: 1}, {Weight: 2}},
ScoreOption: &planpb.ScoreOption{
FunctionMode: planpb.FunctionMode_FunctionModeSum,
BoostMode: planpb.BoostMode_BoostModeSum,
},
})
require.NoError(t, task.applyBoostScores(segDFs, []segments.Segment{nil}, nil))
defer segDFs[0].Release()
result := segDFs[0]
ids := result.Column(types.IDFieldName).Chunk(0).(*array.Int64)
scores := result.Column(types.ScoreFieldName).Chunk(0).(*array.Float32)
require.Nil(t, result.Column(functionScoreColumn))
require.Equal(t, int64(1), ids.Value(0))
require.InDelta(t, 6.5, scores.Value(0), 1e-6)
require.Equal(t, int64(2), ids.Value(1))
require.InDelta(t, 5.2, scores.Value(1), 1e-6)
require.Equal(t, int64(3), ids.Value(2))
require.InDelta(t, 3.9, scores.Value(2), 1e-6)
}
func TestApplyBoostScoresNoScorersNoop(t *testing.T) {
withBoostScoreCheckedAllocator(t)
df := makeBoostScoreTestDF(t,
[]int64{1},
[]float32{0.5},
[]int64{10},
[]int64{1},
)
defer df.Release()
segDFs := []*chain.DataFrame{df}
task := makeBoostScoreTestTask(t, &planpb.PlanNode{})
require.NoError(t, task.applyBoostScores(segDFs, []segments.Segment{nil}, nil))
require.Same(t, df, segDFs[0])
}
func TestApplyBoostScoresDistanceMetricKeepsInternalScoreDescending(t *testing.T) {
withBoostScoreCheckedAllocator(t)
oldFactory := boostScoreRunnerFactory
boostScoreRunnerFactory = mockBoostScoreRunnerFactory(boostScoreOutput{
scores: []float32{1.0, 1.0, 0.25},
hasScore: []bool{true, true, true},
})
defer func() { boostScoreRunnerFactory = oldFactory }()
df := makeBoostScoreTestDF(t,
[]int64{1, 2, 3},
[]float32{0.0, -0.4, -0.8},
[]int64{10, 20, 30},
[]int64{3},
)
segDFs := []*chain.DataFrame{df}
task := makeBoostScoreTestTask(t, &planpb.PlanNode{
Node: &planpb.PlanNode_VectorAnns{
VectorAnns: &planpb.VectorANNS{
QueryInfo: &planpb.QueryInfo{MetricType: metric.L2},
},
},
Scorers: []*planpb.ScoreFunction{{Weight: 1}},
ScoreOption: &planpb.ScoreOption{
BoostMode: planpb.BoostMode_BoostModeMultiply,
},
})
require.NoError(t, task.applyBoostScores(segDFs, []segments.Segment{nil}, nil))
defer segDFs[0].Release()
result := segDFs[0]
ids := result.Column(types.IDFieldName).Chunk(0).(*array.Int64)
scores := result.Column(types.ScoreFieldName).Chunk(0).(*array.Float32)
require.Equal(t, int64(1), ids.Value(0))
require.InDelta(t, 0.0, scores.Value(0), 1e-6)
require.Equal(t, int64(3), ids.Value(1))
require.InDelta(t, -0.2, scores.Value(1), 1e-6)
require.Equal(t, int64(2), ids.Value(2))
require.InDelta(t, -0.4, scores.Value(2), 1e-6)
}
func TestApplyBoostScoresDistanceMetricSumKeepsInternalScoreDescending(t *testing.T) {
withBoostScoreCheckedAllocator(t)
oldFactory := boostScoreRunnerFactory
boostScoreRunnerFactory = mockBoostScoreRunnerFactory(boostScoreOutput{
scores: []float32{0.0, 0.0, 0.7},
hasScore: []bool{false, false, true},
})
defer func() { boostScoreRunnerFactory = oldFactory }()
df := makeBoostScoreTestDF(t,
[]int64{1, 2, 3},
[]float32{0.0, -0.4, -0.8},
[]int64{10, 20, 30},
[]int64{3},
)
segDFs := []*chain.DataFrame{df}
task := makeBoostScoreTestTask(t, &planpb.PlanNode{
Node: &planpb.PlanNode_VectorAnns{
VectorAnns: &planpb.VectorANNS{
QueryInfo: &planpb.QueryInfo{MetricType: metric.L2},
},
},
Scorers: []*planpb.ScoreFunction{{Weight: 1}},
ScoreOption: &planpb.ScoreOption{
BoostMode: planpb.BoostMode_BoostModeSum,
},
})
require.NoError(t, task.applyBoostScores(segDFs, []segments.Segment{nil}, nil))
defer segDFs[0].Release()
result := segDFs[0]
ids := result.Column(types.IDFieldName).Chunk(0).(*array.Int64)
scores := result.Column(types.ScoreFieldName).Chunk(0).(*array.Float32)
require.Equal(t, int64(1), ids.Value(0))
require.InDelta(t, 0.0, scores.Value(0), 1e-6)
require.Equal(t, int64(3), ids.Value(1))
require.InDelta(t, -0.1, scores.Value(1), 1e-6)
require.Equal(t, int64(2), ids.Value(2))
require.InDelta(t, -0.4, scores.Value(2), 1e-6)
}
func TestApplyBoostScoresMultipleScorersAllMissKeepOriginalScores(t *testing.T) {
withBoostScoreCheckedAllocator(t)
oldFactory := boostScoreRunnerFactory
boostScoreRunnerFactory = mockBoostScoreRunnerFactory(
boostScoreOutput{scores: []float32{0.0, 0.0}, hasScore: []bool{false, false}},
boostScoreOutput{scores: []float32{0.0, 0.0}, hasScore: []bool{false, false}},
)
defer func() { boostScoreRunnerFactory = oldFactory }()
df := makeBoostScoreTestDF(t,
[]int64{1, 2},
[]float32{0.3, 0.7},
[]int64{10, 20},
[]int64{2},
)
segDFs := []*chain.DataFrame{df}
task := makeBoostScoreTestTask(t, &planpb.PlanNode{
Scorers: []*planpb.ScoreFunction{{Weight: 1}, {Weight: 2}},
ScoreOption: &planpb.ScoreOption{
FunctionMode: planpb.FunctionMode_FunctionModeSum,
BoostMode: planpb.BoostMode_BoostModeSum,
},
})
require.NoError(t, task.applyBoostScores(segDFs, []segments.Segment{nil}, nil))
defer segDFs[0].Release()
result := segDFs[0]
ids := result.Column(types.IDFieldName).Chunk(0).(*array.Int64)
scores := result.Column(types.ScoreFieldName).Chunk(0).(*array.Float32)
require.Nil(t, result.Column(functionScoreColumn))
require.Equal(t, int64(2), ids.Value(0))
require.InDelta(t, 0.7, scores.Value(0), 1e-6)
require.Equal(t, int64(1), ids.Value(1))
require.InDelta(t, 0.3, scores.Value(1), 1e-6)
}
func TestExtractPlanScorers(t *testing.T) {
t.Run("empty plan", func(t *testing.T) {
scorers, err := extractPlanScorers(nil)
require.NoError(t, err)
require.Empty(t, scorers)
})
t.Run("no scorers", func(t *testing.T) {
blob, err := proto.Marshal(&planpb.PlanNode{})
require.NoError(t, err)
scorers, err := extractPlanScorers(blob)
require.NoError(t, err)
require.Empty(t, scorers)
})
t.Run("one scorer", func(t *testing.T) {
plan := &planpb.PlanNode{
Scorers: []*planpb.ScoreFunction{{Weight: 2.5}},
}
blob, err := proto.Marshal(plan)
require.NoError(t, err)
scorers, err := extractPlanScorers(blob)
require.NoError(t, err)
require.Len(t, scorers, 1)
require.Equal(t, float32(2.5), scorers[0].GetWeight())
})
t.Run("multiple scorers", func(t *testing.T) {
plan := &planpb.PlanNode{
Scorers: []*planpb.ScoreFunction{{Weight: 1}, {Weight: 3}},
}
blob, err := proto.Marshal(plan)
require.NoError(t, err)
scorers, err := extractPlanScorers(blob)
require.NoError(t, err)
require.Len(t, scorers, 2)
require.Equal(t, float32(1), scorers[0].GetWeight())
require.Equal(t, float32(3), scorers[1].GetWeight())
})
t.Run("invalid plan", func(t *testing.T) {
_, err := extractPlanScorers([]byte{0xff, 0x01})
require.Error(t, err)
})
}
func TestApplyBoostScoresUsesAsyncBoostScoreFunc(t *testing.T) {
withBoostScoreCheckedAllocator(t)
oldFactory := boostScoreRunnerFactory
defer func() { boostScoreRunnerFactory = oldFactory }()
boostScoreRunnerFactory = func(scoreFunc boostScoreFunc, segment segments.Segment, searchReq *segcore.SearchRequest, scorer *planpb.ScoreFunction) expr.BoostScoreRunner {
require.Equal(t,
reflect.ValueOf(segments.AsyncComputeScorerScoresOnChunkedOffsets).Pointer(),
reflect.ValueOf(scoreFunc).Pointer(),
)
return func(ctx context.Context, offsets *arrow.Chunked) (*arrow.Chunked, error) {
return newConstantBoostScoreTestChunked(offsets, 1.0), nil
}
}
df := makeBoostScoreTestDF(t, []int64{1}, []float32{0.5}, []int64{10}, []int64{1})
segDFs := []*chain.DataFrame{df}
task := makeBoostScoreTestTask(t, &planpb.PlanNode{
Scorers: []*planpb.ScoreFunction{{Weight: 1}},
ScoreOption: &planpb.ScoreOption{
BoostMode: planpb.BoostMode_BoostModeMultiply,
},
})
require.NoError(t, task.applyBoostScores(segDFs, []segments.Segment{nil}, nil))
defer segDFs[0].Release()
}
func TestApplyBoostScoresRunsSegmentsConcurrently(t *testing.T) {
withBoostScoreCheckedAllocator(t)
oldFactory := boostScoreRunnerFactory
defer func() { boostScoreRunnerFactory = oldFactory }()
var started atomic.Int32
var releaseBoth sync.Once
bothStarted := make(chan struct{})
boostScoreRunnerFactory = func(boostScoreFunc, segments.Segment, *segcore.SearchRequest, *planpb.ScoreFunction) expr.BoostScoreRunner {
return func(ctx context.Context, offsets *arrow.Chunked) (*arrow.Chunked, error) {
if started.Add(1) == 2 {
releaseBoth.Do(func() { close(bothStarted) })
}
select {
case <-bothStarted:
case <-ctx.Done():
return nil, ctx.Err()
}
return newConstantBoostScoreTestChunked(offsets, 1.0), nil
}
}
df1 := makeBoostScoreTestDF(t, []int64{1}, []float32{0.5}, []int64{10}, []int64{1})
df2 := makeBoostScoreTestDF(t, []int64{2}, []float32{0.7}, []int64{20}, []int64{1})
segDFs := []*chain.DataFrame{df1, df2}
task := makeBoostScoreTestTask(t, &planpb.PlanNode{
Scorers: []*planpb.ScoreFunction{{Weight: 1}},
ScoreOption: &planpb.ScoreOption{
BoostMode: planpb.BoostMode_BoostModeMultiply,
},
})
ctx, cancel := context.WithTimeout(context.Background(), time.Second)
defer cancel()
task.ctx = ctx
require.NoError(t, task.applyBoostScores(segDFs, []segments.Segment{nil, nil}, nil))
defer segDFs[0].Release()
defer segDFs[1].Release()
require.Equal(t, int32(2), started.Load())
}
func TestApplyBoostScoresReleasesBoostedFramesOnError(t *testing.T) {
withBoostScoreCheckedAllocator(t)
oldFactory := boostScoreRunnerFactory
defer func() { boostScoreRunnerFactory = oldFactory }()
var calls atomic.Int32
boostScoreRunnerFactory = func(boostScoreFunc, segments.Segment, *segcore.SearchRequest, *planpb.ScoreFunction) expr.BoostScoreRunner {
return func(ctx context.Context, offsets *arrow.Chunked) (*arrow.Chunked, error) {
if calls.Add(1) == 1 {
return newConstantBoostScoreTestChunked(offsets, 1.0), nil
}
return nil, errors.New("mock boost failure")
}
}
df1 := makeBoostScoreTestDF(t, []int64{1}, []float32{0.5}, []int64{10}, []int64{1})
df2 := makeBoostScoreTestDF(t, []int64{2}, []float32{0.7}, []int64{20}, []int64{1})
segDFs := []*chain.DataFrame{df1, df2}
defer df1.Release()
defer df2.Release()
task := makeBoostScoreTestTask(t, &planpb.PlanNode{
Scorers: []*planpb.ScoreFunction{{Weight: 1}},
ScoreOption: &planpb.ScoreOption{
BoostMode: planpb.BoostMode_BoostModeMultiply,
},
})
require.Error(t, task.applyBoostScores(segDFs, []segments.Segment{nil, nil}, nil))
}
func TestBoostScoreModeConversions(t *testing.T) {
functionMode, err := functionModeToScoreCombineMode(planpb.FunctionMode_FunctionModeMultiply)
require.NoError(t, err)
require.Equal(t, expr.ModeMultiply, functionMode)
functionMode, err = functionModeToScoreCombineMode(planpb.FunctionMode_FunctionModeSum)
require.NoError(t, err)
require.Equal(t, expr.ModeSum, functionMode)
_, err = functionModeToScoreCombineMode(planpb.FunctionMode(999))
require.Error(t, err)
require.Contains(t, err.Error(), "unknown function mode")
boostMode, err := boostModeToScoreCombineMode(planpb.BoostMode_BoostModeMultiply)
require.NoError(t, err)
require.Equal(t, expr.ModeMultiply, boostMode)
boostMode, err = boostModeToScoreCombineMode(planpb.BoostMode_BoostModeSum)
require.NoError(t, err)
require.Equal(t, expr.ModeSum, boostMode)
_, err = boostModeToScoreCombineMode(planpb.BoostMode(999))
require.Error(t, err)
require.Contains(t, err.Error(), "unknown boost mode")
}
func TestApplyBoostScoresValidationErrors(t *testing.T) {
t.Run("segment count mismatch", func(t *testing.T) {
task := &SearchTask{}
err := task.applyBoostScores(nil, []segments.Segment{nil}, nil)
require.Error(t, err)
require.Contains(t, err.Error(), "does not match segment count")
})
t.Run("invalid serialized plan", func(t *testing.T) {
task := &SearchTask{
req: &querypb.SearchRequest{
Req: &internalpb.SearchRequest{SerializedExprPlan: []byte{0xff, 0x01}},
},
}
err := task.applyBoostScores(nil, nil, nil)
require.Error(t, err)
require.Contains(t, err.Error(), "failed to parse search plan scorers")
})
t.Run("invalid function mode", func(t *testing.T) {
withBoostScoreCheckedAllocator(t)
df := makeBoostScoreTestDF(t, []int64{1}, []float32{0.5}, []int64{10}, []int64{1})
defer df.Release()
task := makeBoostScoreTestTask(t, &planpb.PlanNode{
Scorers: []*planpb.ScoreFunction{{Weight: 1}},
ScoreOption: &planpb.ScoreOption{
FunctionMode: planpb.FunctionMode(999),
BoostMode: planpb.BoostMode_BoostModeMultiply,
},
})
err := task.applyBoostScores([]*chain.DataFrame{df}, []segments.Segment{nil}, nil)
require.Error(t, err)
require.Contains(t, err.Error(), "unknown function mode")
})
t.Run("invalid boost mode", func(t *testing.T) {
withBoostScoreCheckedAllocator(t)
df := makeBoostScoreTestDF(t, []int64{1}, []float32{0.5}, []int64{10}, []int64{1})
defer df.Release()
task := makeBoostScoreTestTask(t, &planpb.PlanNode{
Scorers: []*planpb.ScoreFunction{{Weight: 1}},
ScoreOption: &planpb.ScoreOption{
FunctionMode: planpb.FunctionMode_FunctionModeSum,
BoostMode: planpb.BoostMode(999),
},
})
err := task.applyBoostScores([]*chain.DataFrame{df}, []segments.Segment{nil}, nil)
require.Error(t, err)
require.Contains(t, err.Error(), "unknown boost mode")
})
t.Run("nil dataframe", func(t *testing.T) {
task := makeBoostScoreTestTask(t, &planpb.PlanNode{
Scorers: []*planpb.ScoreFunction{{Weight: 1}},
ScoreOption: &planpb.ScoreOption{
BoostMode: planpb.BoostMode_BoostModeMultiply,
},
})
err := task.applyBoostScores([]*chain.DataFrame{nil}, []segments.Segment{nil}, nil)
require.Error(t, err)
require.Contains(t, err.Error(), "DataFrame 0 is nil")
})
}
func TestBuildBoostScoreChainPropagatesBuilderErrors(t *testing.T) {
withBoostScoreCheckedAllocator(t)
df := makeBoostScoreTestDF(t, []int64{1}, []float32{0.5}, []int64{10}, []int64{1})
defer df.Release()
oldFactory := boostScoreRunnerFactory
boostScoreRunnerFactory = func(boostScoreFunc, segments.Segment, *segcore.SearchRequest, *planpb.ScoreFunction) expr.BoostScoreRunner {
return nil
}
defer func() { boostScoreRunnerFactory = oldFactory }()
_, err := buildBoostScoreChain(
df,
nil,
nil,
[]*planpb.ScoreFunction{{Weight: 1}},
segments.ComputeScorerScoresOnChunkedOffsets,
expr.ModeSum,
expr.ModeMultiply,
)
require.Error(t, err)
require.Contains(t, err.Error(), "runner is nil")
chainWithBadFunctionMode := chain.NewFuncChainWithAllocator(defaultAllocator)
_, err = appendFunctionScoreColumn(chainWithBadFunctionMode, []string{boostScoreColumn(0), boostScoreColumn(1)}, "bad-mode")
require.Error(t, err)
require.Contains(t, err.Error(), "invalid mode")
chainWithBadBoostMode := chain.NewFuncChainWithAllocator(defaultAllocator)
err = appendFinalBoostScore(chainWithBadBoostMode, boostScoreColumn(0), "bad-mode")
require.Error(t, err)
require.Contains(t, err.Error(), "invalid mode")
}