Add configurable MAP_POPULATE flag support for mmap operations to reduce
page faults and improve first read performance.
Key changes:
- Add `queryNode.mmap.populate` config (default: true) to control
MAP_POPULATE flag usage
- Add `mmap_populate` parameter to MmapChunkTarget, ChunkTranslator,
GroupChunkTranslator, and ManifestGroupTranslator
- Apply MAP_POPULATE to both MmapChunkTarget and MemChunkTarget
- Propagate mmap_populate setting through chunk creation pipeline
When enabled, MAP_POPULATE pre-faults the mapped pages into memory,
eliminating page faults during subsequent access and improving query
performance for the first read operations.
issue: #46760
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #46635
## Summary
- Fix spelling error in constant name: `CredentialSeperator` ->
`CredentialSeparator`
- Updated all usages across the codebase to use the correct spelling
## Changes
- `pkg/util/constant.go`: Renamed the constant
- `pkg/util/contextutil/context_util.go`: Updated usage
- `pkg/util/contextutil/context_util_test.go`: Updated usage
- `internal/proxy/authentication_interceptor.go`: Updated usage
- `internal/proxy/util.go`: Updated usage
- `internal/proxy/util_test.go`: Updated usage
- `internal/proxy/trace_log_interceptor_test.go`: Updated usage
- `internal/proxy/accesslog/info/util.go`: Updated usage
- `internal/distributed/proxy/service.go`: Updated usage
- `internal/distributed/proxy/httpserver/utils.go`: Updated usage
## Test Plan
- [x] All references updated consistently
- [x] No functional changes - only constant name spelling correction
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
- Core invariant: the separator character for credentials remains ":"
everywhere — only the exported identifier was renamed from
CredentialSeperator → CredentialSeparator; the constant value and
split/join semantics are unchanged.
- Change (bug fix): corrected the misspelled exported constant in
pkg/util/constant.go and updated all references across the codebase
(parsing, token construction, header handling and tests) to use the new
identifier; this is an identifier rename that removes an inconsistent
symbol and prevents compile-time/reference errors.
- Logic simplified/redundant work removed: no runtime logic was removed;
the simplification is purely maintenance-focused — eliminating a
misspelled exported name that could cause developers to introduce
duplicate or incorrect constants.
- No data loss or behavior regression: runtime code paths are unchanged
— e.g., GetAuthInfoFromContext, ParseUsernamePassword,
AuthenticationInterceptor, proxy service token construction and
access-log extraction still use ":" to split/join credentials; updated
and added unit tests (parsing and metadata extraction) exercise these
paths and validate identical semantics.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: majiayu000 <1835304752@qq.com>
Signed-off-by: lif <1835304752@qq.com>
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
issue: https://github.com/milvus-io/milvus/issues/46678
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
- Core invariant: Text index log keys are canonicalized at KV
(serialization) boundaries — etcd stores compressed filename-only
entries, while in-memory and runtime consumers must receive full
object-storage keys so Datanode/QueryNode can load text indexes
directly.
- Logic removed/simplified: ad-hoc reconstruction of full text-log paths
scattered across components (garbage_collector.getTextLogs,
querynodev2.LoadTextIndex, compactor/index task code) was removed;
consumers now use TextIndexStats.Files as-provided (full keys). Path
compression/decompression was centralized into KV marshal/unmarshal
utilities (metautil.ExtractTextLogFilenames in marshalSegmentInfo and
metautil.BuildTextLogPaths in kv_catalog.listSegments), eliminating
redundant, inconsistent prefix-rebuilding logic that broke during
rolling upgrades.
- Why this does NOT cause data loss or regressions: before persist,
marshalSegmentInfo compresses TextStatsLogs.Files to filenames
(metautil.ExtractTextLogFilenames) so stored KV remains compact; on
load, kv_catalog.listSegments calls metautil.BuildTextLogPaths to
restore full paths and includes compatibility logic that leaves
already-full keys unchanged. Thus every persisted filename is
recoverable to a valid full key and consumers receive correct full paths
(see marshalSegmentInfo → KV write path and kv_catalog.listSegments →
reload path), preventing dropped or malformed keys.
- Bug fix (refs #46678): resolves text-log loading failures during
cluster upgrades by centralizing path handling at KV encode/decode and
removing per-component path reconstruction — the immediate fix is
changing consumers to read TextIndexStats.Files directly and relying on
marshal/unmarshal to perform compression/expansion, preventing
mixed-format failures during rolling upgrades.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: sijie-ni-0214 <sijie.ni@zilliz.com>
issue： #46033
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## 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: #46500
- simplify the run_go_codecov.sh to make sure the set -e to protect any
sub command failure.
- remove all embed etcd in test to make full test can be run at local.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## PR Summary: Simplify Go Unit Tests by Removing Embedded etcd and
Async Startup Scaffolding
**Core Invariant:**
This PR assumes that unit tests can be simplified by running without
embedded etcd servers (delegating to environment-based or external etcd
instances via `kvfactory.GetEtcdAndPath()` or `ETCD_ENDPOINTS`) and by
removing goroutine-based async startup scaffolding in favor of
synchronous component initialization. Tests remain functionally
equivalent while becoming simpler to run and debug locally.
**What is Removed or Simplified:**
1. **Embedded etcd test infrastructure deleted**: Removes
`EmbedEtcdUtil` type and its public methods (SetupEtcd,
TearDownEmbedEtcd) from `pkg/util/testutils/embed_etcd.go`, removes the
`StartTestEmbedEtcdServer()` helper from `pkg/util/etcd/etcd_util.go`,
and removes etcd embedding from test suites (e.g., `TaskSuite`,
`EtcdSourceSuite`, `mixcoord/client_test.go`). Tests now either skip
etcd-dependent tests (via `MILVUS_UT_WITHOUT_KAFKA=1` environment flag
in `kafka_test.go`) or source etcd from external configuration (via
`kvfactory.GetEtcdAndPath()` in `task_test.go`, or `ETCD_ENDPOINTS`
environment variable in `etcd_source_test.go`). This eliminates the
overhead of spinning up temporary etcd servers for unit tests.
2. **Async startup scaffolding replaced with synchronous
initialization**: In `internal/proxy/proxy_test.go` and
`proxy_rpc_test.go`, the `startGrpc()` method signature removes the
`sync.WaitGroup` parameter; components are now created, prepared, and
run synchronously in-place rather than in goroutines (e.g., `go
testServer.startGrpc(ctx, &p)` becomes `testServer.startGrpc(ctx, &p)`
running synchronously). Readiness checks (e.g., `waitForGrpcReady()`)
remain in place to ensure startup safety without concurrency constructs.
This simplifies control flow and reduces debugging complexity.
3. **Shell script orchestration unified with proper error handling**: In
`scripts/run_go_codecov.sh` and `scripts/run_intergration_test.sh`,
per-package inline test invocations are consolidated into a single
`test_cmd()` function with unified `TEST_CMD_WITH_ARGS` array containing
race, coverage, verbose, and other flags. The problematic `set -ex` is
replaced with `set -e` alone (removing debug output noise while
preserving strict error semantics), ensuring the scripts fail fast on
any command failure.
**Why No Regression:**
- Test assertions and code paths remain unchanged; only deployment
source of etcd (embedded → external) and startup orchestration (async →
sync) change.
- Readiness verification (e.g., `waitForGrpcReady()`) is retained,
ensuring components are initialized before test execution.
- Test flags (race detection, coverage, verbosity) are uniformly applied
across all packages via unified `TEST_CMD_WITH_ARGS`, preserving test
coverage and quality.
- `set -e` alone is sufficient for strict failure detection without the
`-x` flag's verbose output.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: chyezh <chyezh@outlook.com>
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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- Core invariant: TestWait must deterministically verify that
FixedSizeAllocator.Wait() is notified when virtual resources are
released, so an allocation blocked due to exhausted virtual capacity
eventually succeeds after explicit deallocations.
- Removed/simplified logic: replaced the previous flaky pattern that
spawned 100 concurrent goroutines performing Reallocate with an explicit
channel-synchronized release goroutine that performs 100 sequential
negative Reallocate calls only after the test blocks on allocation. This
eliminates timing-dependent concurrency and the nondeterministic i-based
assertion.
- Why no data loss or behavior regression: only the test changed —
allocator implementation (Allocate/Reallocate/Release/Wait/notify) and
public APIs are unchanged. The test now exercises the same code paths
(Allocate fails, Wait blocks on cond, Reallocate/Release call notify),
but in a deterministic order, so the allocator semantics and resource
accounting (used, allocs map) remain unaffected.
- Change type and intent: Enhancement/refactor of unit test stability —
it tightens test synchronization to remove race-dependent assertions and
ensure the Wait/notify mechanism is reliably exercised without modifying
allocator logic.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Signed-off-by: aoiasd <zhicheng.yue@zilliz.com>
issue: https://github.com/milvus-io/milvus/issues/44123
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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- Core invariant: legacy in-cluster CDC/replication plumbing
(ReplicateMsg types, ReplicateID-based guards and flags) is obsolete —
the system relies on standard msgstream positions, subPos/end-ts
semantics and timetick ordering as the single source of truth for
message ordering and skipping, so replication-specific
channels/types/guards can be removed safely.
- Removed/simplified logic (what and why): removed replication feature
flags and params (ReplicateMsgChannel, TTMsgEnabled,
CollectionReplicateEnable), ReplicateMsg type and its tests, ReplicateID
constants/helpers and MergeProperties hooks, ReplicateConfig and its
propagation (streamPipeline, StreamConfig, dispatcher, target),
replicate-aware dispatcher/pipeline branches, and replicate-mode
pre-checks/timestamp-allocation in proxy tasks — these implemented a
redundant alternate “replicate-mode” pathway that duplicated
position/end-ts and timetick logic.
- Why this does NOT cause data loss or regression (concrete code paths):
no persistence or core write paths were removed — proxy PreExecute flows
(internal/proxy/task_*.go) still perform the same schema/ID/size
validations and then follow the normal non-replicate execution path;
dispatcher and pipeline continue to use position/subPos and
pullback/end-ts in Seek/grouping (pkg/mq/msgdispatcher/dispatcher.go,
internal/util/pipeline/stream_pipeline.go), so skipping and ordering
behavior remains unchanged; timetick emission in rootcoord
(sendMinDdlTsAsTt) is now ungated (no silent suppression), preserving or
increasing timetick delivery rather than removing it.
- PR type and net effect: Enhancement/Refactor — removes deprecated
replication API surface (types, helpers, config, tests) and replication
branches, simplifies public APIs and constructor signatures, and reduces
surface area for future maintenance while keeping DML/DDL persistence,
ordering, and seek semantics intact.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
relate: https://github.com/milvus-io/milvus/issues/46498
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
- Core invariant: text fields configured with multi_analyzer_params must
include a "by_field" string that names another field containing per-row
analyzer choices; schemaInfo.GetMultiAnalyzerNameFieldID caches and
returns the dependent field ID (or 0 if none) and relies on that mapping
to make per-row analyzer names available to the highlighter.
- What changed / simplified: the highlighter is now schema-aware —
addTaskWithSearchText accepts *schemaInfo and uses
GetMultiAnalyzerNameFieldID to resolve the analyzer-name field;
resolution and caching moved into schemaInfo.multiAnalyzerFieldMap
(meta_cache.go), eliminating ad-hoc/typeutil-only lookups and duplicated
logic; GetMultiAnalyzerParams now gates on EnableAnalyzer(),
centralizing analyzer enablement checks.
- Why this fixes the bug (root cause): fixes#46498 — previously the
highlighter failed when the analyzer-by-field was not in output_fields.
The change (1) populates task.AnalyzerNames (defaulting missing names to
"default") when multi-analyzer is configured and (2) appends the
analyzer-name field ID to LexicalHighlighter.extraFields so FieldIDs
includes it; the operator then requests the analyzer-name column at
search time, ensuring per-row analyzer selection is available for
highlighting.
- No data-loss or regression: when no multi-analyzer is configured
GetMultiAnalyzerNameFieldID returns 0 and behavior is unchanged; the
patch only adds the analyzer-name field to requested output IDs (no
mutation of stored data). Error handling on malformed params is
preserved (errors are returned instead of silently changing data), and
single-analyzer behavior remains untouched.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Signed-off-by: aoiasd <zhicheng.yue@zilliz.com>
issue: #46550
- Add CatchUpStreamingDataTsLag parameter to control tolerable lag
threshold for delegator to be considered caught up
- Add catchingUpStreamingData field in delegator to track whether
delegator has caught up with streaming data
- Add catching_up_streaming_data field in LeaderViewStatus proto
- Check catching up status in CheckDelegatorDataReady, return not
ready when delegator is still catching up streaming data
- Add unit tests for the new functionality
When tsafe lag exceeds the threshold, the distribution will not be
considered serviceable, preventing queries from timing out in waitTSafe.
This is useful when streaming message queue consumption is slow.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
- Core invariant: a delegator must not be considered serviceable while
its tsafe lags behind the latest committed timestamp beyond a
configurable tolerance; a delegator is "caught-up" only when
(latestTsafe - delegator.GetTSafe()) < CatchUpStreamingDataTsLag
(configured by queryNode.delegator.catchUpStreamingDataTsLag, default
1s).
- New capability and where it takes effect: adds streaming-catchup
tracking to QueryNode/QueryCoord — an atomic catchingUpStreamingData
flag on shardDelegator (internal/querynodev2/delegator/delegator.go), a
new param CatchUpStreamingDataTsLag
(pkg/util/paramtable/component_param.go), and a
LeaderViewStatus.catching_up_streaming_data field in the proto
(pkg/proto/query_coord.proto). The flag is exposed in
GetDataDistribution (internal/querynodev2/services.go) and used by
QueryCoord readiness checks
(internal/querycoordv2/utils/util.go::CheckDelegatorDataReady) to reject
leaders that are still catching up.
- What logic is simplified/added (not removed): instead of relying
solely on segment distribution/worker heartbeats, the PR adds an
explicit readiness gate that returns "not available" when the delegator
reports catching-up-streaming-data. This is strictly additive — no
existing checks are removed; the new precondition runs before segment
availability validation to prevent premature routing to slow-consuming
delegators.
- Why this does NOT cause data loss or regress behavior: the change only
controls serviceability visibility and routing — it never drops or
mutates data. Concretely: shardDelegator starts with
catchingUpStreamingData=true and flips to false in UpdateTSafe once the
sampled lag falls below the configured threshold
(internal/querynodev2/delegator/delegator.go::UpdateTSafe). QueryCoord
will short-circuit in CheckDelegatorDataReady when
leader.Status.GetCatchingUpStreamingData() is true
(internal/querycoordv2/utils/util.go), returning a channel-not-available
error before any segment checks; when the flag clears, existing
segment-distribution checks (same code paths) resume. Tests added cover
both catching-up and caught-up paths
(internal/querynodev2/delegator/delegator_test.go,
internal/querycoordv2/utils/util_test.go,
internal/querynodev2/services_test.go), demonstrating convergence
without changed data flows or deletion of data.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
issue: #44452
## Summary
Reduce test combinations in `TestSparsePlaceholderGroupSize` to decrease
test execution time:
- `nqs`: from `[1, 10, 100, 1000, 10000]` to `[1, 100, 10000]`
- `averageNNZs`: from `[1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024,
2048]` to `[1, 4, 16, 64, 256, 1024]`
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## TestSparsePlaceholderGroupSize Test Reduction
**Core Invariant:** The sparse vector NNZ estimation algorithm
(`EstimateSparseVectorNNZFromPlaceholderGroup`) must maintain accuracy
within bounded error thresholds—individual cases < 10% error and no more
than 2% of cases exceeding 5% error—across representative parameter
ranges.
**Test Coverage Optimized, Not Removed:** Test combinations reduced from
60 to 18 by pruning redundant parameter points while retaining critical
coverage: nqs now tests [1, 100, 10000] (min, mid, max) and averageNNZs
tests [1, 4, 16, 64, 256, 1024] (exponential spacing). Variant
generation logic (powers of 2 scaling) remains unchanged, ensuring error
scenarios are still exercised.
**No Behavioral Regression:** The algorithm under test is untouched;
only test case frequency decreases. The same assertions validate error
bounds are satisfied—individual assertions (`assert.Less(errorRatio,
10.0)`) and statistical assertions (`assert.Less(largeErrorRatio, 2.0)`)
remain identical, confirming that estimation quality is still verified.
**Why Safe:** Exponential spacing of removed parameters (e.g., nqs: 10,
1000 removed; averageNNZs: 2, 8, 32, 128, 512, 2048 removed) addresses
diminishing returns—intermediate values provide no new error scenarios
beyond what surrounding powers-of-2 values expose, while keeping test
execution time proportional to coverage value gained.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Signed-off-by: Buqian Zheng <zhengbuqian@gmail.com>
issue: https://github.com/milvus-io/milvus/issues/46410
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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- Core invariant: etcd metadata and in-memory Segment/TextIndex records
must store only compact filenames for text-index files; full object keys
are deterministically reconstructed at use-sites from a stable root +
common.TextIndexPath + IDs via metautil.BuildTextLogPaths.
- Bug & fix (issue #46410): the etcd RPC size overflow was caused by
persisting full upload keys in segment/TextIndex metadata. Fix: at
upload/creation sites (internal/datanode/compactor/sort_compaction.go
and internal/datanode/index/task_stats.go) store only filenames using
metautil.ExtractTextLogFilenames; at consumption/use sites
(internal/datacoord/garbage_collector.go,
internal/querynodev2/segments/segment.go, and other GC/loader code)
reconstruct full paths with metautil.BuildTextLogPaths before accessing
object storage.
- Simplified/removed logic: removed the redundant practice of carrying
full object keys through metadata and in-memory structures; callers now
persist compact filenames and perform on-demand path reconstruction.
This eliminates large payloads in etcd and reduces memory pressure while
preserving the same runtime control flow and error handling.
- No data loss / no regression: filename extraction is a deterministic
suffix operation (metautil.ExtractTextLogFilenames) and reloadFromKV
performs backward compatibility (internal/datacoord/meta.go converts
existing full-path entries to filenames before caching). All read paths
reconstruct full paths at runtime (garbage_collector.getTextLogs,
LocalSegment.LoadTextIndex, GC/loader), so no files are modified/deleted
and access semantics remain identical.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Signed-off-by: sijie-ni-0214 <sijie.ni@zilliz.com>
### **Description**
- Add `-buildvcs=false` flag to Go test commands in coverage script
- Increase default session TTL from 10s to 15s
- Update SessionTTL parameter default value from 30 to 15
Signed-off-by: Cai Zhang <cai.zhang@zilliz.com>
Co-authored-by: bigsheeper <yihao.dai@zilliz.com>
Co-authored-by: chyezh <chyezh@outlook.com>
Co-authored-by: czs007 <zhenshan.cao@zilliz.com>
Related to #46133
Move jemalloc_stats.go and its test file from pkg/util/hardware to
internal/util/segcore. This is a more appropriate location because:
- jemalloc_stats depends on milvus_core C++ library via cgo
- The pkg directory should remain independent of internal C++
dependencies
- segcore is the natural home for core memory allocator utilities
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Refactor**
* Improved internal code organization by reorganizing memory statistics
collection infrastructure for better maintainability and modularity. No
impact on end-user functionality or behavior.
<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
Introduce a ScannerStartupDelay configuration to enable WAL write-only
recovery, allowing fence messages to be persisted during
primary–secondary switchover when the StreamingNode is trapped in crash
loops.
issue: https://github.com/milvus-io/milvus/issues/46368
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **New Features**
* Added a configurable WAL scanner pause/resume and a consumer request
flag to optionally ignore pause signals.
* **Metrics**
* Added a scanner pause gauge and pause-duration tracking for WAL
scanning.
* **Tests**
* Added coverage for pause-consumption behavior and cleanup in stream
client tests.
* **Chores**
* Consolidated flush-all logging into a single field and added a helper
for bulk message conversion.
<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
related: #45993
This commit extends nullable vector support to the proxy layer,
querynode,
and adds comprehensive validation, search reduce, and field data
handling
for nullable vectors with sparse storage.
Proxy layer changes:
- Update validate_util.go checkAligned() with getExpectedVectorRows()
helper
to validate nullable vector field alignment using valid data count
- Update checkFloatVectorFieldData/checkSparseFloatVectorFieldData for
nullable vector validation with proper row count expectations
- Add FieldDataIdxComputer in typeutil/schema.go for logical-to-physical
index translation during search reduce operations
- Update search_reduce_util.go reduceSearchResultData to use
idxComputers
for correct field data indexing with nullable vectors
- Update task.go, task_query.go, task_upsert.go for nullable vector
handling
- Update msg_pack.go with nullable vector field data processing
QueryNode layer changes:
- Update segments/result.go for nullable vector result handling
- Update segments/search_reduce.go with nullable vector offset
translation
Storage and index changes:
- Update data_codec.go and utils.go for nullable vector serialization
- Update indexcgowrapper/dataset.go and index.go for nullable vector
indexing
Utility changes:
- Add FieldDataIdxComputer struct with Compute() method for efficient
logical-to-physical index mapping across multiple field data
- Update EstimateEntitySize() and AppendFieldData() with fieldIdxs
parameter
- Update funcutil.go with nullable vector support functions
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **New Features**
* Full support for nullable vector fields (float, binary, float16,
bfloat16, int8, sparse) across ingest, storage, indexing, search and
retrieval; logical↔physical offset mapping preserves row semantics.
* Client: compaction control and compaction-state APIs.
* **Bug Fixes**
* Improved validation for adding vector fields (nullable + dimension
checks) and corrected search/query behavior for nullable vectors.
* **Chores**
* Persisted validity maps with indexes and on-disk formats.
* **Tests**
* Extensive new and updated end-to-end nullable-vector tests.
<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: marcelo-cjl <marcelo.chen@zilliz.com>
relate: https://github.com/milvus-io/milvus/issues/42589
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
## New Features
- Added `concurrency_per_cpu_core` configuration parameter for the
analyzer component, enabling customizable per-CPU concurrency tuning
(default: 8).
## Tests
- Added test coverage for batch analysis operations.
<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
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Signed-off-by: aoiasd <zhicheng.yue@zilliz.com>
This commit refines L0 compaction to ensure data consistency by properly
setting the delete position boundary for L1 segment selection.
Key Changes:
1. L0 View Trigger Sets latestDeletePos for L1 Selection
2. Filter L0 Segments by Growing Segment Position in policy, not in
views
3. Renamed LevelZeroSegmentsView to LevelZeroCompactionView
4. Renamed fields for semantic clarity: * segments -> l0Segments *
earliestGrowingSegmentPos -> latestDeletePos
5. Update Default Compaction Prioritizer to level
See also: #46434
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Signed-off-by: yangxuan <xuan.yang@zilliz.com>
This PR improves the robustness of object storage operations by retrying
both explicit throttling errors (e.g. HTTP 429, SlowDown, ServerBusy).
These errors commonly occur under high concurrency and are typically
recoverable with bounded retries.
issue: https://github.com/milvus-io/milvus/issues/44772
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## Summary by CodeRabbit
* **New Features**
* Configurable retry support for reads from object storage and improved
mapping of transient/rate-limit errors.
* Added a retryable reader wrapper used by CSV/JSON/Parquet/Numpy import
paths.
* **Configuration**
* New parameter to control storage read retry attempts.
* **Tests**
* Expanded unit tests covering error mapping and retry behaviors across
storage backends.
* Standardized mock readers and test initialization to simplify test
setups.
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Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
issue: #46443
Add `Forbidden: true` to all tiered storage related parameters to
prevent runtime configuration changes via etcd. These parameters are
marked as refreshable:"false" but that tag was only documentation - the
actual prevention requires the Forbidden field.
Without this fix, if tiered storage parameters are modified at runtime:
- Go side would read the new values dynamically
- C++ caching layer would still use the old values (set at InitQueryNode
time)
- This mismatch could cause resource tracking issues and anomalies
Signed-off-by: Shawn Wang <shawn.wang@zilliz.com>
Related to #46358
Add segment reopen mechanism in QueryCoord to handle segment data
updates when the manifest path changes. This enables QueryNode to reload
segment data without full segment reload, supporting storage v2
incremental updates.
Changes:
- Add ActionTypeReopen action type and LoadScope_Reopen in protobuf
- Track ManifestPath in segment distribution metadata
- Add CheckSegmentDataReady utility to verify segment data matches
target
- Extend getSealedSegmentDiff to detect segments needing reopen
- Create segment reopen tasks when manifest path differs from target
- Block target update until segment data is ready
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #39157
Overview:
Support search by PK by resolving IDs to vectors on Proxy side. Upgrade
go-api to adapt to new proto definitions.
Design:
- Upgrade milvus-proto/go-api to latest master.
- Implement handleIfSearchByPK in Proxy: resolve IDs to vectors via
internal Query, then rewrite SearchRequest.
- Adapt to 'SearchInput' oneof field in SearchRequest across client and
handlers.
- Fix binary vector stride calculation bug in placeholder utils.
Compatibility:
- Old Pymilvus can still work w/o this feature
What is included:
- Dense and Sparse
- Multi vector fields
- Rejection on BM25
What is **not** include:
- Hybrid Search
- EmbeddingList
- Restful API
Signed-off-by: Li Liu <li.liu@zilliz.com>
issue: #46176
- Add checkAligned validation before processing partial update field
data to prevent index out of range panic when field data arrays have
mismatched lengths
- Fix GetNumRowOfFieldDataWithSchema to handle Timestamptz string format
and Geometry WKT format properly
- Add unit tests for empty data array scenarios in partial update
---------
Signed-off-by: Wei Liu <wei.liu@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.
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Signed-off-by: aoiasd <zhicheng.yue@zilliz.com>
issue: #40513
for querynode which return resource exhausted error, add a penalty
duration on it, and suspend loading new resource until penalty duration
expired.
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Signed-off-by: Wei Liu <wei.liu@zilliz.com>
issue: #45640
- log may be dropped if the underlying file system is busy.
- use async write syncer to avoid the log operation block the milvus
major system.
- remove some log dependency from the until function to avoid
dependency-loop.
---------
Signed-off-by: chyezh <chyezh@outlook.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: #44369
woodpecker related[ issue:
#59](https://github.com/zilliztech/woodpecker/issues/59)
Refactor the WAL retention logic in Milvus StreamingNode:
- Remove the simple sampling-based truncation mechanism.
- After flush, WAL data is directly truncated.
- The retention control is now delegated to the underlying message queue
(MQ) implementation.
Signed-off-by: tinswzy <zhenyuan.wei@zilliz.com>
https://github.com/milvus-io/milvus/issues/45544
- Add batch_factor configuration parameter (default: 5) to control
embedding provider batch sizes
- Add disable_func_runtime_check property to bypass function validation
during collection creation
- Add database interceptor support for AddCollectionFunction,
AlterCollectionFunction, and DropCollectionFunction requests
Signed-off-by: junjie.jiang <junjie.jiang@zilliz.com>
