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milvus-io--milvus/internal/querynodev2/segments/segment_interface.go
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chore: import upstream snapshot with attribution
2026-07-13 12:31:17 +08:00

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// 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 segments
import (
"context"
"github.com/milvus-io/milvus-proto/go-api/v3/msgpb"
"github.com/milvus-io/milvus-proto/go-api/v3/schemapb"
pkoracle "github.com/milvus-io/milvus/internal/querynodev2/pkoracle"
"github.com/milvus-io/milvus/internal/storage"
"github.com/milvus-io/milvus/internal/storagecommon"
"github.com/milvus-io/milvus/internal/util/segcore"
"github.com/milvus-io/milvus/pkg/v3/proto/datapb"
"github.com/milvus-io/milvus/pkg/v3/proto/querypb"
"github.com/milvus-io/milvus/pkg/v3/proto/segcorepb"
"github.com/milvus-io/milvus/pkg/v3/util/metautil"
"github.com/milvus-io/milvus/pkg/v3/util/typeutil"
)
// BinlogSaver is a minimal interface for saving binlog paths to DataCoord.
// This avoids depending on the full broker.Broker interface.
type BinlogSaver interface {
SaveBinlogPaths(ctx context.Context, req *datapb.SaveBinlogPathsRequest) error
}
// ResourceUsage is used to estimate the resource usage of a sealed segment.
type ResourceUsage struct {
MemorySize uint64
DiskSize uint64
MmapFieldCount int
FieldGpuMemorySize []uint64
}
// Segment is the interface of a segment implementation.
// Some methods can not apply to all segment typessuch as LoadInfo, ResourceUsageEstimate.
// Add more interface to represent different segment types is a better implementation.
type Segment interface {
// ResourceUsageEstimate() ResourceUsage
// Properties
ID() int64
DatabaseName() string
ResourceGroup() string
Collection() int64
Partition() int64
Shard() metautil.Channel
Version() int64
CASVersion(int64, int64) bool
StartPosition() *msgpb.MsgPosition
Type() SegmentType
Level() datapb.SegmentLevel
IsSorted() bool
LoadInfo() *querypb.SegmentLoadInfo
// PinIfNotReleased the segment to prevent it from being released
PinIfNotReleased() error
// Unpin the segment to allow it to be released
Unpin()
// Stats related
// InsertCount returns the number of inserted rows, not effected by deletion
InsertCount() int64
// RowNum returns the number of rows, it's slow, so DO NOT call it in a loop
RowNum() int64
MemSize() int64
// ResourceUsageEstimate returns the estimated resource usage of the segment
ResourceUsageEstimate() ResourceUsage
// Index related
GetIndexByID(indexID int64) *IndexedFieldInfo
GetIndex(fieldID int64) []*IndexedFieldInfo
ExistIndex(fieldID int64) bool
Indexes() []*IndexedFieldInfo
HasRawData(fieldID int64) bool
DropIndex(ctx context.Context, indexID int64) error
// Modification related
Insert(ctx context.Context, rowIDs []int64, timestamps []typeutil.Timestamp, record *segcorepb.InsertRecord) error
Delete(ctx context.Context, primaryKeys storage.PrimaryKeys, timestamps []typeutil.Timestamp) error
LoadDeltaData(ctx context.Context, deltaData *storage.DeltaData) error
LastDeltaTimestamp() uint64
Load(ctx context.Context) error
Release(ctx context.Context, opts ...releaseOption)
Reopen(ctx context.Context, newLoadInfo *querypb.SegmentLoadInfo) error
// PK candidate related (BloomFilterSet for regular segments, ExternalSegmentCandidate for external)
// Segment implements pkoracle.Candidate: MayPkExist, BatchPkExist, ID, Partition, Type,
// PkCandidateExist, UpdatePkCandidate, Stats, Charge, Refund — with protective guards (e.g. skipGrowingBF).
SetPKCandidate(candidate pkoracle.Candidate)
PkCandidateExist() bool
UpdatePkCandidate(pks []storage.PrimaryKey)
Stats() *storage.PkStatistics
Charge()
Refund()
MayPkExist(lc *storage.LocationsCache) bool
BatchPkExist(lc *storage.BatchLocationsCache) []bool
// Get min/max
GetMinPk() *storage.PrimaryKey
GetMaxPk() *storage.PrimaryKey
// BM25 stats
UpdateBM25Stats(stats map[int64]*storage.BM25Stats)
GetBM25Stats() map[int64]*storage.BM25Stats
// Read operations
// Search executes a search on the segment.
// If searchReq.FilterOnly() is true, only executes the filter and returns valid_count (Stage 1 of two-stage search).
Search(ctx context.Context, searchReq *segcore.SearchRequest) (*segcore.SearchResult, error)
Retrieve(ctx context.Context, plan *segcore.RetrievePlan) (*segcorepb.RetrieveResults, error)
RetrieveByOffsets(ctx context.Context, plan *segcore.RetrievePlanWithOffsets) (*segcorepb.RetrieveResults, error)
// FlushData flushes data from segment memory directly to storage via C++ milvus-storage.
// This is a unified interface that combines data extraction and writing:
// - C++ side extracts data directly from ConcurrentVector (no query engine overhead)
// - C++ side writes data to storage (TEXT fields via TextColumnWriter, others via PackedWriter)
// - Returns binlog paths and metadata (all processing in C++ side)
// Go layer only provides thin wrapper for FFI call - no business logic.
// TODO: Implement C++ FlushData interface (Phase 1.3, 1.4, 2.3)
FlushData(ctx context.Context, startOffset, endOffset int64, config *FlushConfig) (*FlushResult, error)
IsLazyLoad() bool
ResetIndexesLazyLoad(lazyState bool)
// lazy load related
NeedUpdatedVersion() int64
RemoveUnusedFieldFiles() error
GetFieldJSONIndexStats() map[int64]*querypb.JsonStatsInfo
}
// FlushConfig contains configuration for flushing segment data.
// All paths and settings are passed to C++ side via FFI.
type FlushConfig struct {
// Segment base path for binlog storage
SegmentBasePath string
// Partition base path for LOB storage (TEXT fields)
PartitionBasePath string
// Collection ID
CollectionID int64
// Partition ID
PartitionID int64
// Schema is the flush-task schema for the offset range being flushed.
// It must not be inferred from the mutable growing segment runtime schema.
Schema *schemapb.CollectionSchema
// TEXT column field IDs
TextFieldIDs []int64
// LOB base paths for each TEXT field (same order as TextFieldIDs)
// Format: {partition_path}/lobs/{field_id}
TextLobPaths []string
// TEXT LOB writer thresholds, aligned with DataNode writer settings.
TextInlineThreshold int64
TextMaxLobFileBytes int64
TextFlushThresholdBytes int64
// BM25 output sparse vector field IDs whose stats should be collected for
// the flushed offset range.
BM25FieldIDs []int64
// BM25 stats log IDs, in the same order as BM25FieldIDs.
BM25StatsLogIDs []int64
// WriteMergedBM25Stats writes a compound BM25 stats file in the same
// manifest transaction. It should be true only for the final flush.
WriteMergedBM25Stats bool
// ReadVersion is the manifest version to read from.
// Must be set to the last version acknowledged by DataCoord (via SaveBinlogPaths).
// Use ManifestEarliest for the first flush so retries never append to latest.
ReadVersion int64
// WriterFormat is passed as writer.format. For incremental growing flushes,
// it may be resolved from the acknowledged manifest to keep appends
// compatible with existing column groups.
WriterFormat string
// SchemaBasedPattern is passed as writer.split.schema_based.patterns.
// When set, C++ uses schema_based writer policy instead of single.
SchemaBasedPattern string
// SchemaBasedFormats is passed as writer.split.schema_based.formats.
// It preserves per-column-group formats when appending to existing manifests.
SchemaBasedFormats string
// AllowedFieldIDs limits growing flush output to fields compatible with
// the target segment layout.
AllowedFieldIDs []int64
ColumnGroups []storagecommon.ColumnGroup
}
// FlushResult contains the result of flushing segment data.
// All data is returned from C++ side via FFI. In Storage V3 FFI mode,
// ManifestPath points to the physical files while the summary fields are used
// to build DataCoord binlog metadata.
type FlushResult struct {
// Manifest path (Storage V3 - contains all file information).
// The committed version is encoded in the path and can be extracted
// via packed.UnmarshalManifestPath when needed.
ManifestPath string
// Number of rows flushed
NumRows int64
TimestampFrom uint64
TimestampTo uint64
// FlushedFieldIDs is the authoritative set of columns the flush actually
// wrote; non-materialized function-output columns are skipped and absent.
FlushedFieldIDs []int64
ColumnGroupMemorySizes map[int64]int64
FieldNullCounts map[int64]int64
BM25Stats map[int64]*storage.BM25Stats
}