Related to #46595
Remove the EnableStorageV2 config option and enforce StorageV2 format
across all write paths including compaction, import, write buffer, and
streaming segment allocation. V1 format write tests are now skipped as
writing V1 format is no longer supported.
---------
Signed-off-by: Congqi Xia <congqi.xia@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 -->
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Signed-off-by: Cai Zhang <cai.zhang@zilliz.com>
If collection TTL property is malformed (e.g., non-numeric value),
compaction tasks would fail silently and get stuck. This change:
- Add centralized GetCollectionTTL/GetCollectionTTLFromMap functions in
pkg/common to handle TTL parsing with proper error handling
- Validate TTL property in createCollectionTask and alterCollectionTask
PreExecute to reject invalid values early
- Refactor datacoord compaction policies to use the new common functions
- Remove duplicated getCollectionTTL from datacoord/util.go
issue: #46716
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- Core invariant: collection.ttl.seconds must be a parseable int64 and
validated at collection creation/alter time so malformed TTLs never
reach compaction/execution codepaths.
- Bug fix (resolves#46716): malformed/non-numeric TTLs could silently
cause compaction tasks to fail/stall; fixed by adding centralized
parsing helpers pkg/common.GetCollectionTTL and GetCollectionTTLFromMap
and validating TTL in createCollectionTask.PreExecute and
alterCollectionTask.PreExecute (calls with default -1 and return
parameter-invalid errors on parse failure).
- Simplification / removed redundancy: eliminated duplicated
getCollectionTTL in internal/datacoord/util.go and replaced ad-hoc TTL
parsing across datacoord (compaction policies, import_util, compaction
triggers) and proxy util with the common helpers, centralizing error
handling and defaulting logic.
- No data loss or behavior regression: valid TTL parsing semantics
unchanged (helpers use identical int64 parsing and default fallback from
paramtable/CommonCfg); validation occurs in PreExecute so existing valid
collections proceed unchanged while malformed values are rejected
early—compaction codepaths now receive only validated TTL values (or
explicit defaults), preventing silent skips without altering valid
execution flows.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.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>
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>
1. Use blocking memory allocation to wait until memory becomes available
2. Perform memory allocation at the file level instead of per task
3. Limit Parquet file reader batch size to prevent excessive memory
consumption
4. Limit import buffer size from 20% to 10% of total memory
issue: https://github.com/milvus-io/milvus/issues/43387,
https://github.com/milvus-io/milvus/issues/43131
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Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
Previous code uses diskSegmentMaxSize if and only if all of the
collection's vector fields are indexed with DiskANN index.
When introducing sparse vectors, since sparse vector cannot be indexed
with DiskANN index, collections with both dense and sparse vectors will
use maxSize instead.
This PR changes the requirments of using diskSegmentMaxSize to all dense
vectors are indexed with DiskANN indexs, ignoring sparse vector fields.
See also: #43193
Signed-off-by: yangxuan <xuan.yang@zilliz.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>
In corner cases where there are many fields but only a small number of
rows to import, the default preallocated IDs may be insufficient. To
address this, consider the number of fields when preallocating IDs.
issue: https://github.com/milvus-io/milvus/issues/42518
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
Remove the unlimited logID mechanism and switch to redundantly
allocating a large number of IDs.
issue: https://github.com/milvus-io/milvus/issues/42518
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
Rename `imeta` to `importMeta` to improve readability, and enhance
import related context usage.
issue: https://github.com/milvus-io/milvus/issues/41123
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
1. Add global scheduler for datacoord.
2. Define and implement new CreateTask, QueryTask, DropTask interfaces.
3. Refine Import, Compaction, Stats, Index task.
issue: https://github.com/milvus-io/milvus/issues/41123
Co-authored-by: Cai Zhang <cai.zhang@zilliz.com>
When autoID is enabled, the preimport task estimates row distribution by
evenly dividing the total row count (numRows) across all vchannels:
`estimatedCount = numRows / vchannelNum`.
However, the actual import task hashes real auto-generated IDs to
determine
the target vchannel. This mismatch can lead to inaccurate row
distribution estimation
in such corner cases:
- Importing 1 row into 2 vchannels:
• Preimport: 1 / 2 = 0 → both v0 and v1 are estimated to have 0 rows
• Import: real autoID (e.g., 457975852966809057) hashes to v1
→ actual result: v0 = 0, v1 = 1
To resolve such corner case, we now allocate at least one segment for
each vchannel
when autoID is enabled, ensuring all vchannels are prepared to receive
data even
if no rows are estimated for them.
issue: https://github.com/milvus-io/milvus/issues/41759
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Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
issue: #35917
This PR refines the meta-related APIs in datacoord to allow the ctx to
be passed down to the catalog operation interfaces
Signed-off-by: tinswzy <zhenyuan.wei@zilliz.com>
issue: #36621
1. Add API to access task runtime metrics, including:
- build index task
- compaction task
- import task
- balance (including load/release of segments/channels and some leader
tasks on querycoord)
- sync task
2. Add a debug model to the webpage by using debug=true or debug=false
in the URL query parameters to enable or disable debug mode.
Signed-off-by: jaime <yun.zhang@zilliz.com>
1. Optimize import scheduling strategic:
a. Revise slot weights, calculating them based on the number of files
and segments for both import and pre-import tasks.
b. Ensure that the DN executes tasks in ascending order of task ID.
2. Add time cost metric and log.
issue: https://github.com/milvus-io/milvus/issues/36600,
https://github.com/milvus-io/milvus/issues/36518
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Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
Directly add import segments from the meta, eliminating the dependency
on the segment manager.
issue: https://github.com/milvus-io/milvus/issues/34648
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Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
This PR introduce stats task for import:
1. Define new `Stats` and `IndexBuilding` states for importJob
2. Add new stats step to the import process: trigger the stats task and
wait for its completion
3. Abort stats task if import job failed
issue: https://github.com/milvus-io/milvus/issues/33744
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Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
Related to #28861
Move allocator interface and implementation into separate package. Also
update some unittest logic.
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
Estimate the import segment size based on DiskSegmentMaxSize(2G) to
avoid unnecessary compaction after import completed.
issue: https://github.com/milvus-io/milvus/issues/35147
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Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
See also #34670
This PR add quota configuration for l0 segment entry number per
collection. If l0 compaction cannot keep up the insertion/upsertion
rate, this feature could back press the related rate.
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
This PR removes the dependency of compaction on the ID allocator by
pre-allocating the logID and segmentID.
issue: https://github.com/milvus-io/milvus/issues/33957
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
See also #34483
Some lint issues are introduced due to lack of static check run. This PR
fixes these problems.
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
The import is dependent on syncTask, which in turn relies on the
allocator. This PR pre-allocate the necessary IDs for import syncTask.
issue: https://github.com/milvus-io/milvus/issues/33957
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
