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

64 行
2.5 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 queryutil
import (
"context"
"go.opentelemetry.io/otel/trace"
"github.com/milvus-io/milvus-proto/go-api/v3/schemapb"
"github.com/milvus-io/milvus/internal/agg"
"github.com/milvus-io/milvus/pkg/v3/proto/internalpb"
"github.com/milvus-io/milvus/pkg/v3/proto/planpb"
)
// NewDeduplicateByGroupsOperator creates a pipeline operator that performs
// GROUP BY aggregation on multiple RetrieveResults.
//
// Input[0]: []*internalpb.RetrieveResults (from multiple segments/workers)
// Output[0]: *internalpb.RetrieveResults (aggregated result)
//
// Output FieldsData layout: [group_col1, ..., group_colN, agg1, agg2, ...]
// Note: aggregation columns (count/sum/min/max) have FieldId=0 (not set by
// the agg reducer). This is safe because no downstream operator matches on
// FieldId for aggregation columns — GROUP BY+ORDER BY uses explicit position
// mapping via NewOrderByLimitOperatorWithPositions, and proxy's schema override
// in PostExecute skips FieldId=0 (not in schema map).
//
// Unlike proxy's version, this does NOT reorganize output fields (no outputMap).
// groupLimit: -1 for unlimited (when ORDER BY will do topK downstream),
// >0 to truncate groups.
func NewDeduplicateByGroupsOperator(
schema *schemapb.CollectionSchema,
groupByFieldIDs []int64,
aggregates []*planpb.Aggregate,
groupLimit int64,
) Operator {
return NewLambdaOperator(OpReduceByGroups, func(ctx context.Context, span trace.Span, inputs ...any) ([]any, error) {
results := inputs[0].([]*internalpb.RetrieveResults)
reducer := agg.NewGroupAggReducer(groupByFieldIDs, aggregates, groupLimit, schema)
reducedRes, err := reducer.Reduce(ctx, agg.InternalResult2AggResult(results))
if err != nil {
return nil, err
}
return []any{agg.AggResult2internalResult(reducedRes)}, nil
})
}