Add support for DataNode compaction using file resources in ref mode.
SortCompation and StatsJobs will build text indexes, which may use file
resources.
relate: https://github.com/milvus-io/milvus/issues/43687
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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- Core invariant: file resources (analyzer binaries/metadata) are only
fetched, downloaded and used when the node is configured in Ref mode
(fileresource.IsRefMode via CommonCfg.QNFileResourceMode /
DNFileResourceMode); Sync now carries a version and managers track
per-resource versions/resource IDs so newer resource sets win and older
entries are pruned (RefManager/SynchManager resource maps).
- Logic removed / simplified: component-specific FileResourceMode flags
and an indirection through a long-lived BinlogIO wrapper were
consolidated — file-resource mode moved to CommonCfg, Sync/Download APIs
became version- and context-aware, and compaction/index tasks accept a
ChunkManager directly (binlog IO wrapper creation inlined). This
eliminates duplicated config checks and wrapper indirection while
preserving the same chunk/IO semantics.
- Why no data loss or behavior regression: all file-resource code paths
are gated by the configured mode (default remains "sync"); when not in
ref-mode or when no resources exist, compaction and stats flows follow
existing code paths unchanged. Versioned Sync + resourceID maps ensure
newly synced sets replace older ones and RefManager prunes stale files;
GetFileResources returns an error if requested IDs are missing (prevents
silent use of wrong resources). Analyzer naming/parameter changes add
analyzer_extra_info but default-callers pass "" so existing analyzers
and index contents remain unchanged.
- New capability: DataNode compaction and StatsJobs can now build text
indexes using external file resources in Ref mode — DataCoord exposes
GetFileResources and populates CompactionPlan.file_resources;
SortCompaction/StatsTask download resources via fileresource.Manager,
produce an analyzer_extra_info JSON (storage + resource->id map) via
analyzer.BuildExtraResourceInfo, and propagate analyzer_extra_info into
BuildIndexInfo so the tantivy bindings can load custom analyzers during
text index creation.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Signed-off-by: aoiasd <zhicheng.yue@zilliz.com>
issue: #44358
Implement complete snapshot management system including creation,
deletion, listing, description, and restoration capabilities across all
system components.
Key features:
- Create snapshots for entire collections
- Drop snapshots by name with proper cleanup
- List snapshots with collection filtering
- Describe snapshot details and metadata
Components added/modified:
- Client SDK with full snapshot API support and options
- DataCoord snapshot service with metadata management
- Proxy layer with task-based snapshot operations
- Protocol buffer definitions for snapshot RPCs
- Comprehensive unit tests with mockey framework
- Integration tests for end-to-end validation
Technical implementation:
- Snapshot metadata storage in etcd with proper indexing
- File-based snapshot data persistence in object storage
- Garbage collection integration for snapshot cleanup
- Error handling and validation across all operations
- Thread-safe operations with proper locking mechanisms
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- Core invariant/assumption: snapshots are immutable point‑in‑time
captures identified by (collection, snapshot name/ID); etcd snapshot
metadata is authoritative for lifecycle (PENDING → COMMITTED → DELETING)
and per‑segment manifests live in object storage (Avro / StorageV2). GC
and restore logic must see snapshotRefIndex loaded
(snapshotMeta.IsRefIndexLoaded) before reclaiming or relying on
segment/index files.
- New capability added: full end‑to‑end snapshot subsystem — client SDK
APIs (Create/Drop/List/Describe/Restore + restore job queries),
DataCoord SnapshotWriter/Reader (Avro + StorageV2 manifests),
snapshotMeta in meta, SnapshotManager orchestration
(create/drop/describe/list/restore), copy‑segment restore
tasks/inspector/checker, proxy & RPC surface, GC integration, and
docs/tests — enabling point‑in‑time collection snapshots persisted to
object storage and restorations orchestrated across components.
- Logic removed/simplified and why: duplicated recursive
compaction/delta‑log traversal and ad‑hoc lookup code were consolidated
behind two focused APIs/owners (Handler.GetDeltaLogFromCompactTo for
delta traversal and SnapshotManager/SnapshotReader for snapshot I/O).
MixCoord/coordinator broker paths were converted to thin RPC proxies.
This eliminates multiple implementations of the same traversal/lookup,
reducing divergence and simplifying responsibility boundaries.
- Why this does NOT introduce data loss or regressions: snapshot
create/drop use explicit two‑phase semantics (PENDING → COMMIT/DELETING)
with SnapshotWriter writing manifests and metadata before commit; GC
uses snapshotRefIndex guards and
IsRefIndexLoaded/GetSnapshotBySegment/GetSnapshotByIndex checks to avoid
removing referenced files; restore flow pre‑allocates job IDs, validates
resources (partitions/indexes), performs rollback on failure
(rollbackRestoreSnapshot), and converts/updates segment/index metadata
only after successful copy tasks. Extensive unit and integration tests
exercise pending/deleting/GC/restore/error paths to ensure idempotence
and protection against premature deletion.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
issue： #46033
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Pull Request Summary: Entity-Level TTL Field Support
### Core Invariant and Design
This PR introduces **per-entity TTL (time-to-live) expiration** via a
dedicated TIMESTAMPTZ field as a fine-grained alternative to
collection-level TTL. The key invariant is **mutual exclusivity**:
collection-level TTL and entity-level TTL field cannot coexist on the
same collection. Validation is enforced at the proxy layer during
collection creation/alteration (`validateTTL()` prevents both being set
simultaneously).
### What Is Removed and Why
- **Global `EntityExpirationTTL` parameter** removed from config
(`configs/milvus.yaml`, `pkg/util/paramtable/component_param.go`). This
was the only mechanism for collection-level expiration. The removal is
safe because:
- The collection-level TTL path (`isEntityExpired(ts)` check) remains
intact in the codebase for backward compatibility
- TTL field check (`isEntityExpiredByTTLField()`) is a secondary path
invoked only when a TTL field is configured
- Existing deployments using collection TTL can continue without
modification
The global parameter was removed specifically because entity-level TTL
makes per-entity control redundant with a collection-wide setting, and
the PR chooses one mechanism per collection rather than layering both.
### No Data Loss or Behavior Regression
**TTL filtering logic is additive and safe:**
1. **Collection-level TTL unaffected**: The `isEntityExpired(ts)` check
still applies when no TTL field is configured; callers of
`EntityFilter.Filtered()` pass `-1` as the TTL expiration timestamp when
no field exists, causing `isEntityExpiredByTTLField()` to return false
immediately
2. **Null/invalid TTL values treated safely**: Rows with null TTL or TTL
≤ 0 are marked as "never expire" (using sentinel value `int64(^uint64(0)
>> 1)`) and are preserved across compactions; percentile calculations
only include positive TTL values
3. **Query-time filtering automatic**: TTL filtering is transparently
added to expression compilation via `AddTTLFieldFilterExpressions()`,
which appends `(ttl_field IS NULL OR ttl_field > current_time)` to the
filter pipeline. Entities with null TTL always pass the filter
4. **Compaction triggering granular**: Percentile-based expiration (20%,
40%, 60%, 80%, 100%) allows configurable compaction thresholds via
`SingleCompactionRatioThreshold`, preventing premature data deletion
### Capability Added: Per-Entity Expiration with Data Distribution
Awareness
Users can now specify a TIMESTAMPTZ collection property `ttl_field`
naming a schema field. During data writes, TTL values are collected per
segment and percentile quantiles (5-value array) are computed and stored
in segment metadata. At query time, the TTL field is automatically
filtered. At compaction time, segment-level percentiles drive
expiration-based compaction decisions, enabling intelligent compaction
of segments where a configurable fraction of data has expired (e.g.,
compact when 40% of rows are expired, controlled by threshold ratio).
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: Cai Zhang <cai.zhang@zilliz.com>
issue: #45881
Add persistent task management for external collections with automatic
detection of external_source and external_spec changes. When source
changes, the system aborts running tasks and creates new ones, ensuring
only one active task per collection. Tasks validate their source on
completion to prevent superseded tasks from committing results.
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- Core invariant: at most one active UpdateExternalCollection task
exists per collection — tasks are serialized by collectionID
(collection-level locking) and any change to external_source or
external_spec aborts superseded tasks and causes a new task creation
(externalCollectionManager + external_collection_task_meta
collection-based locks enforce this).
- What was simplified/removed: per-task fine-grained locking and
concurrent multi-task acceptance per collection were replaced by
collection-level synchronization (external_collection_task_meta.go) and
a single persistent task lifecycle in DataCoord/Index task code;
redundant double-concurrent update paths were removed by checking
existing task presence in AddTask/LoadOrStore and aborting/overwriting
via Drop/Cancel flows.
- Why this does NOT cause data loss or regress behavior: task state
transitions and commit are validated against the current external
source/spec before applying changes — UpdateStateWithMeta and SetJobInfo
verify task metadata and persist via catalog only under matching
collection-state; DataNode externalCollectionManager persists task
results to in-memory manager and exposes Query/Drop flows (services.go)
without modifying existing segment data unless a task successfully
finishes and SetJobInfo atomically updates segments via meta/catalog
calls, preventing superseded tasks from committing stale results.
- New capability added: end-to-end external collection update workflow —
DataCoord Index task + Cluster RPC helpers + DataNode external task
runner and ExternalCollectionManager enable creating, querying,
cancelling, and applying external collection updates
(fragment-to-segment balancing, kept/updated segment handling, allocator
integration); accompanying unit tests cover success, failure,
cancellation, allocator errors, and balancing logic.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: sunby <sunbingyi1992@gmail.com>
Related to #44956
This change propagates the useLoonFFI configuration through the import
pipeline to enable LOON FFI usage during data import operations.
Key changes:
- Add use_loon_ffi field to ImportRequest protobuf message
- Add manifest_path field to ImportSegmentInfo for tracking manifest
- Initialize manifest path when creating segments (both import and
growing)
- Pass useLoonFFI flag through NewSyncTask in import tasks
- Simplify pack_writer_v2 by removing GetManifestInfo method and relying
on pre-initialized manifest path from segment creation
- Update segment meta with manifest path after import completion
This allows the import workflow to use the LOON FFI based packed writer
when the common.useLoonFFI configuration is enabled.
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
This PR:
1. Define and implement the new FlushAllMessage.
2. Refactor FlushAll to flush the entire cluster.
issue: https://github.com/milvus-io/milvus/issues/45919
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
relate:https://github.com/milvus-io/milvus/issues/43687
Support use file resource with sync mode.
Auto download or remove file resource to local when user add or remove
file resource.
Sync file resource to node when find new node session.
---------
Signed-off-by: aoiasd <zhicheng.yue@zilliz.com>
issue: https://github.com/milvus-io/milvus/issues/45691
Add persistent task management for external collections with automatic
detection of external_source and external_spec changes. When source
changes, the system aborts running tasks and creates new ones, ensuring
only one active task per collection. Tasks validate their source on
completion to prevent superseded tasks from committing results.
---------
Signed-off-by: sunby <sunbingyi1992@gmail.com>
Related #44956
This commit integrates the Storage V2 FFI (Foreign Function Interface)
interface throughout the Milvus codebase, enabling unified storage
access through the Loon FFI layer. This is a significant step towards
standardizing storage operations across different storage versions.
1. Configuration Support
- **configs/milvus.yaml**: Added `useLoonFFI` configuration flag under
`common.storage.file.splitByAvgSize` section
- Allows runtime toggle between traditional binlog readers and new
FFI-based manifest readers
- Default: `false` (maintains backward compatibility)
2. Core FFI Infrastructure
Enhanced Utilities (internal/core/src/storage/loon_ffi/util.cpp/h)
- **ToCStorageConfig()**: Converts Go's `StorageConfig` to C's
`CStorageConfig` struct for FFI calls
- **GetManifest()**: Parses manifest JSON and retrieves latest column
groups using FFI
- Accepts manifest path with `base_path` and `ver` fields
- Calls `get_latest_column_groups()` FFI function
- Returns column group information as string
- Comprehensive error handling for JSON parsing and FFI errors
3. Dependency Updates
- **internal/core/thirdparty/milvus-storage/CMakeLists.txt**:
- Updated milvus-storage version from `0883026` to `302143c`
- Ensures compatibility with latest FFI interfaces
4. Data Coordinator Changes
All compaction task builders now include manifest path in segment
binlogs:
- **compaction_task_clustering.go**: Added `Manifest:
segInfo.GetManifestPath()` to segment binlogs
- **compaction_task_l0.go**: Added manifest path to both L0 segment
selection and compaction plan building
- **compaction_task_mix.go**: Added manifest path to mixed compaction
segment binlogs
- **meta.go**: Updated metadata completion logic:
- `completeClusterCompactionMutation()`: Set `ManifestPath` in new
segment info
- `completeMixCompactionMutation()`: Preserve manifest path in compacted
segments
- `completeSortCompactionMutation()`: Include manifest path in sorted
segments
5. Data Node Compactor Enhancements
All compactors updated to support dual-mode reading (binlog vs
manifest):
6. Flush & Sync Manager Updates
Pack Writer V2 (pack_writer_v2.go)
- **BulkPackWriterV2.Write()**: Extended return signature to include
`manifest string`
- Implementation:
- Generate manifest path: `path.Join(pack.segmentID, "manifest.json")`
- Write packed data using FFI-based writer
- Return manifest path along with binlogs, deltas, and stats
Task Handling (task.go)
- Updated all sync task result handling to accommodate new manifest
return value
- Ensured backward compatibility for callers not using manifest
7. Go Storage Layer Integration
New Interfaces and Implementations
- **record_reader.go**: Interface for unified record reading across
storage versions
- **record_writer.go**: Interface for unified record writing across
storage versions
- **binlog_record_writer.go**: Concrete implementation for traditional
binlog-based writing
Enhanced Schema Support (schema.go, schema_test.go)
- Schema conversion utilities to support FFI-based storage operations
- Ensures proper Arrow schema mapping for V2 storage
Serialization Updates
- **serde.go, serde_events.go, serde_events_v2.go**: Updated to work
with new reader/writer interfaces
- Test files updated to validate dual-mode serialization
8. Storage V2 Packed Format
FFI Common (storagev2/packed/ffi_common.go)
- Common FFI utilities and type conversions for packed storage format
Packed Writer FFI (storagev2/packed/packed_writer_ffi.go)
- FFI-based implementation of packed writer
- Integrates with Loon storage layer for efficient columnar writes
Packed Reader FFI (storagev2/packed/packed_reader_ffi.go)
- Already existed, now complemented by writer implementation
9. Protocol Buffer Updates
data_coord.proto & datapb/data_coord.pb.go
- Added `manifest` field to compaction segment messages
- Enables passing manifest metadata through compaction pipeline
worker.proto & workerpb/worker.pb.go
- Added compaction parameter for `useLoonFFI` flag
- Allows workers to receive FFI configuration from coordinator
10. Parameter Configuration
component_param.go
- Added `UseLoonFFI` parameter to compaction configuration
- Reads from `common.storage.file.useLoonFFI` config path
- Default: `false` for safe rollout
11. Test Updates
- **clustering_compactor_storage_v2_test.go**: Updated signatures to
handle manifest return value
- **mix_compactor_storage_v2_test.go**: Updated test helpers for
manifest support
- **namespace_compactor_test.go**: Adjusted writer calls to expect
manifest
- **pack_writer_v2_test.go**: Validated manifest generation in pack
writing
This integration follows a **dual-mode approach**:
1. **Legacy Path**: Traditional binlog-based reading/writing (when
`useLoonFFI=false` or no manifest)
2. **FFI Path**: Manifest-based reading/writing through Loon FFI (when
`useLoonFFI=true` and manifest exists)
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #43897
- Part of collection/index related DDL is implemented by WAL-based DDL
framework now.
- Support following message type in wal, CreateCollection,
DropCollection, CreatePartition, DropPartition, CreateIndex, AlterIndex,
DropIndex.
- Part of collection/index related DDL can be synced by new CDC now.
- Refactor some UT for collection/index DDL.
- Add Tombstone scheduler to manage the tombstone GC for collection or
partition meta.
- Move the vchannel allocation into streaming pchannel manager.
---------
Signed-off-by: chyezh <chyezh@outlook.com>
Related to #44956
Add manifest_path field throughout the data path to support LOON Storage
V2 manifest tracking. The manifest stores metadata for segment data
files and enables the unified Storage V2 FFI interface.
Changes include:
- Add manifest_path field to SegmentInfo and SaveBinlogPathsRequest
proto messages
- Add UpdateManifest operator to datacoord meta operations
- Update metacache, sync manager, and meta writer to propagate manifest
paths
- Include manifest_path in segment load info for query coordinator
This is part of the Storage V2 FFI interface integration.
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #44156
Enhance FlushAll functionality to support targeting specific collections
within databases instead of only database-level flushing.
Changes include:
- Add FlushAllTarget message in data_coord.proto for granular targeting
- Support collection-specific flush operations within databases
- Maintain backward compatibility with deprecated db_name field
This enhancement allows users to flush specific collections without
affecting other collections in the same database, providing more precise
control over data persistence operations.
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
Related to #44257
This PR:
- Utilize configurable split policy for storage v2, enabling system
field policy
- Store split result in field binlog struct
- Adapt legacy binlog without child fields
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
1. Enable Milvus to read cipher configs
2. Enable cipher plugin in binlog reader and writer
3. Add a testCipher for unittests
4. Support pooling for datanode
5. Add encryption in storagev2
See also: #40321
Signed-off-by: yangxuan <xuan.yang@zilliz.com>
---------
Signed-off-by: yangxuan <xuan.yang@zilliz.com>
Replace multiple per-table flush RPC calls with single FlushAll RPC to
improve performance in multi-table scenarios.
issue: #43338
- Implement server-side FlushAll request processing in
DataCoord/MixCoord
- Add flushAllTask to handle unified flush operations across all tables
- Replace proxy-side per-table flush iteration with single RPC call
- Support both streaming and non-streaming service execution paths
- Add comprehensive unit tests for new FlushAll implementation
---------
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
issue: #43072, #43289
- manage the schema version at recovery storage.
- update the schema when creating collection or alter schema.
- get schema at write buffer based on version.
- recover the schema when upgrading from 2.5.
---------
Signed-off-by: chyezh <chyezh@outlook.com>
- Introduce dynamic buffer sizing to avoid generating small binlogs
during import
- Refactor import slot calculation based on CPU and memory constraints
- Implement dynamic pool sizing for sync manager and import tasks
according to CPU core count
issue: https://github.com/milvus-io/milvus/issues/43131
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
issue: #42162
- enhance: add read ahead buffer size issue #42129
- fix: rocksmq consumer's close operation may get stucked
- fix: growing segment from old arch is not flushed after upgrading
---------
Signed-off-by: chyezh <chyezh@outlook.com>
issue: #41544
- remove the estimate logic, so the create segment operation will not
check the collection meta anymore
Signed-off-by: chyezh <chyezh@outlook.com>
Make DataNode use compaction parameters from request instead of
configuration.
issue: https://github.com/milvus-io/milvus/issues/41123
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
Merge RootCoord, DataCoord And QueryCoord into MixCoord
Make Session into one
issue : https://github.com/milvus-io/milvus/issues/37764
---------
Signed-off-by: Xianhui.Lin <xianhui.lin@zilliz.com>
after the pr merged, we can support to insert, upsert, build index,
query, search in the added field.
can only do the above operates in added field after add field request
complete, which is a sync operate.
compact will be supported in the next pr.
#39718
---------
Signed-off-by: lixinguo <xinguo.li@zilliz.com>
Co-authored-by: lixinguo <xinguo.li@zilliz.com>
With concurrenct L0 compaction
(https://github.com/milvus-io/milvus/pull/36816), delta logs might be
written to the same L1 segment, causing logID duplication when using the
incremental beginLogID. This PR removes the beginLogID mechanism and
instead passes a log ID range, where the number of IDs in the range
equals the number of compaction segment binlogs multiplied by an
expansion factor.
issue: https://github.com/milvus-io/milvus/issues/40207
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
issue: #39551
This PR remove querycoord's scheduling of l0 segments:
- only load l0 segment when watch channel
- only release l0 segment when release channel or sync data distribution
---------
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
