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216 lines
8.8 KiB
Go
216 lines
8.8 KiB
Go
// Licensed to the LF AI & Data foundation under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package segments
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import (
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"context"
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"github.com/milvus-io/milvus-proto/go-api/v3/msgpb"
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"github.com/milvus-io/milvus-proto/go-api/v3/schemapb"
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pkoracle "github.com/milvus-io/milvus/internal/querynodev2/pkoracle"
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"github.com/milvus-io/milvus/internal/storage"
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"github.com/milvus-io/milvus/internal/storagecommon"
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"github.com/milvus-io/milvus/internal/util/segcore"
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"github.com/milvus-io/milvus/pkg/v3/proto/datapb"
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"github.com/milvus-io/milvus/pkg/v3/proto/querypb"
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"github.com/milvus-io/milvus/pkg/v3/proto/segcorepb"
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"github.com/milvus-io/milvus/pkg/v3/util/metautil"
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"github.com/milvus-io/milvus/pkg/v3/util/typeutil"
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)
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// BinlogSaver is a minimal interface for saving binlog paths to DataCoord.
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// This avoids depending on the full broker.Broker interface.
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type BinlogSaver interface {
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SaveBinlogPaths(ctx context.Context, req *datapb.SaveBinlogPathsRequest) error
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}
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// ResourceUsage is used to estimate the resource usage of a sealed segment.
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type ResourceUsage struct {
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MemorySize uint64
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DiskSize uint64
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MmapFieldCount int
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FieldGpuMemorySize []uint64
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}
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// Segment is the interface of a segment implementation.
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// Some methods can not apply to all segment types,such as LoadInfo, ResourceUsageEstimate.
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// Add more interface to represent different segment types is a better implementation.
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type Segment interface {
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// ResourceUsageEstimate() ResourceUsage
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// Properties
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ID() int64
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DatabaseName() string
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ResourceGroup() string
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Collection() int64
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Partition() int64
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Shard() metautil.Channel
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Version() int64
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CASVersion(int64, int64) bool
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StartPosition() *msgpb.MsgPosition
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Type() SegmentType
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Level() datapb.SegmentLevel
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IsSorted() bool
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LoadInfo() *querypb.SegmentLoadInfo
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// PinIfNotReleased the segment to prevent it from being released
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PinIfNotReleased() error
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// Unpin the segment to allow it to be released
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Unpin()
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// Stats related
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// InsertCount returns the number of inserted rows, not effected by deletion
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InsertCount() int64
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// RowNum returns the number of rows, it's slow, so DO NOT call it in a loop
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RowNum() int64
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MemSize() int64
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// ResourceUsageEstimate returns the estimated resource usage of the segment
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ResourceUsageEstimate() ResourceUsage
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// Index related
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GetIndexByID(indexID int64) *IndexedFieldInfo
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GetIndex(fieldID int64) []*IndexedFieldInfo
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ExistIndex(fieldID int64) bool
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Indexes() []*IndexedFieldInfo
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HasRawData(fieldID int64) bool
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DropIndex(ctx context.Context, indexID int64) error
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// Modification related
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Insert(ctx context.Context, rowIDs []int64, timestamps []typeutil.Timestamp, record *segcorepb.InsertRecord) error
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Delete(ctx context.Context, primaryKeys storage.PrimaryKeys, timestamps []typeutil.Timestamp) error
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LoadDeltaData(ctx context.Context, deltaData *storage.DeltaData) error
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LastDeltaTimestamp() uint64
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Load(ctx context.Context) error
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Release(ctx context.Context, opts ...releaseOption)
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Reopen(ctx context.Context, newLoadInfo *querypb.SegmentLoadInfo) error
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// PK candidate related (BloomFilterSet for regular segments, ExternalSegmentCandidate for external)
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// Segment implements pkoracle.Candidate: MayPkExist, BatchPkExist, ID, Partition, Type,
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// PkCandidateExist, UpdatePkCandidate, Stats, Charge, Refund — with protective guards (e.g. skipGrowingBF).
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SetPKCandidate(candidate pkoracle.Candidate)
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PkCandidateExist() bool
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UpdatePkCandidate(pks []storage.PrimaryKey)
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Stats() *storage.PkStatistics
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Charge()
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Refund()
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MayPkExist(lc *storage.LocationsCache) bool
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BatchPkExist(lc *storage.BatchLocationsCache) []bool
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// Get min/max
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GetMinPk() *storage.PrimaryKey
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GetMaxPk() *storage.PrimaryKey
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// BM25 stats
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UpdateBM25Stats(stats map[int64]*storage.BM25Stats)
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GetBM25Stats() map[int64]*storage.BM25Stats
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// Read operations
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// Search executes a search on the segment.
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// If searchReq.FilterOnly() is true, only executes the filter and returns valid_count (Stage 1 of two-stage search).
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Search(ctx context.Context, searchReq *segcore.SearchRequest) (*segcore.SearchResult, error)
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Retrieve(ctx context.Context, plan *segcore.RetrievePlan) (*segcorepb.RetrieveResults, error)
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RetrieveByOffsets(ctx context.Context, plan *segcore.RetrievePlanWithOffsets) (*segcorepb.RetrieveResults, error)
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// FlushData flushes data from segment memory directly to storage via C++ milvus-storage.
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// This is a unified interface that combines data extraction and writing:
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// - C++ side extracts data directly from ConcurrentVector (no query engine overhead)
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// - C++ side writes data to storage (TEXT fields via TextColumnWriter, others via PackedWriter)
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// - Returns binlog paths and metadata (all processing in C++ side)
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// Go layer only provides thin wrapper for FFI call - no business logic.
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// TODO: Implement C++ FlushData interface (Phase 1.3, 1.4, 2.3)
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FlushData(ctx context.Context, startOffset, endOffset int64, config *FlushConfig) (*FlushResult, error)
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IsLazyLoad() bool
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ResetIndexesLazyLoad(lazyState bool)
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// lazy load related
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NeedUpdatedVersion() int64
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RemoveUnusedFieldFiles() error
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GetFieldJSONIndexStats() map[int64]*querypb.JsonStatsInfo
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}
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// FlushConfig contains configuration for flushing segment data.
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// All paths and settings are passed to C++ side via FFI.
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type FlushConfig struct {
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// Segment base path for binlog storage
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SegmentBasePath string
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// Partition base path for LOB storage (TEXT fields)
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PartitionBasePath string
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// Collection ID
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CollectionID int64
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// Partition ID
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PartitionID int64
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// Schema is the flush-task schema for the offset range being flushed.
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// It must not be inferred from the mutable growing segment runtime schema.
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Schema *schemapb.CollectionSchema
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// TEXT column field IDs
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TextFieldIDs []int64
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// LOB base paths for each TEXT field (same order as TextFieldIDs)
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// Format: {partition_path}/lobs/{field_id}
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TextLobPaths []string
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// TEXT LOB writer thresholds, aligned with DataNode writer settings.
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TextInlineThreshold int64
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TextMaxLobFileBytes int64
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TextFlushThresholdBytes int64
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// BM25 output sparse vector field IDs whose stats should be collected for
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// the flushed offset range.
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BM25FieldIDs []int64
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// BM25 stats log IDs, in the same order as BM25FieldIDs.
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BM25StatsLogIDs []int64
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// WriteMergedBM25Stats writes a compound BM25 stats file in the same
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// manifest transaction. It should be true only for the final flush.
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WriteMergedBM25Stats bool
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// ReadVersion is the manifest version to read from.
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// Must be set to the last version acknowledged by DataCoord (via SaveBinlogPaths).
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// Use ManifestEarliest for the first flush so retries never append to latest.
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ReadVersion int64
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// WriterFormat is passed as writer.format. For incremental growing flushes,
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// it may be resolved from the acknowledged manifest to keep appends
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// compatible with existing column groups.
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WriterFormat string
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// SchemaBasedPattern is passed as writer.split.schema_based.patterns.
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// When set, C++ uses schema_based writer policy instead of single.
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SchemaBasedPattern string
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// SchemaBasedFormats is passed as writer.split.schema_based.formats.
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// It preserves per-column-group formats when appending to existing manifests.
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SchemaBasedFormats string
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// AllowedFieldIDs limits growing flush output to fields compatible with
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// the target segment layout.
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AllowedFieldIDs []int64
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ColumnGroups []storagecommon.ColumnGroup
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}
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// FlushResult contains the result of flushing segment data.
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// All data is returned from C++ side via FFI. In Storage V3 FFI mode,
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// ManifestPath points to the physical files while the summary fields are used
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// to build DataCoord binlog metadata.
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type FlushResult struct {
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// Manifest path (Storage V3 - contains all file information).
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// The committed version is encoded in the path and can be extracted
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// via packed.UnmarshalManifestPath when needed.
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ManifestPath string
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// Number of rows flushed
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NumRows int64
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TimestampFrom uint64
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TimestampTo uint64
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// FlushedFieldIDs is the authoritative set of columns the flush actually
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// wrote; non-materialized function-output columns are skipped and absent.
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FlushedFieldIDs []int64
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ColumnGroupMemorySizes map[int64]int64
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FieldNullCounts map[int64]int64
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BM25Stats map[int64]*storage.BM25Stats
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}
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