Cherry-pick from master
pr: #45334
Related to #45333
Fix segment loading failure when adding fields with text match enabled.
The issue occurred because text indexes were being loaded before
FinishLoad() was called, meaning raw data was not properly available
when text index creation attempted to access it, resulting in "failed to
create text index, neither raw data nor index are found" errors.
Solution is to move the FinishLoad() call to execute after raw data
loading but before text index loading. This ensures that:
1. Raw data is properly loaded and available in memory
2. Text indexes can access the raw data they need during creation
3. The segment is in the correct state before any index operations
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #43897, #44123
pr: #45266
also pick pr: #45237, #45264,#45244,#45275
fix: kafka should auto reset the offset from earliest to read (#45237)
issue: #44172, #45210, #44851,#45244
kafka will auto reset the offset to "latest" if the offset is
Out-of-range. the recovery of milvus wal cannot read any message from
that. So once the offset is out-of-range, kafka should read from eariest
to read the latest uncleared data.
https://kafka.apache.org/documentation/#consumerconfigs_auto.offset.reset
enhance: support alter collection/database with WAL-based DDL framework
(#45266)
issue: #43897
- Alter collection/database is implemented by WAL-based DDL framework
now.
- Support AlterCollection/AlterDatabase in wal now.
- Alter operation can be synced by new CDC now.
- Refactor some UT for alter DDL.
fix: milvus role cannot stop at initializing state (#45244)
issue: #45243
fix: support upgrading from 2.6.x -> 2.6.5 (#45264)
issue: #43897
---------
Signed-off-by: chyezh <chyezh@outlook.com>
Cherry pick from master
pr: #45263
Related to #43028
Initialize the schema version field when creating a new collection
instance in QueryNode. The schema version is extracted from loadMetaInfo
and assigned to the collection, ensuring proper schema version tracking
and consistency across the distributed system.
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
Cherry-pick from master
pr: #45147
Related to #44509
Fix a bug where QueryNodeNumEntities metrics were not updated for
collections with zero segments, causing stale metrics when all segments
are flushed or compacted.
The previous implementation used separate loops: one to update size
metrics for all collections, and another to update num entities metrics
only for collections present in the grouped segments map. Collections
with no segments were skipped in the second loop, leaving their
NumEntities metrics stale.
Changes:
- Consolidate size and num entities metric updates into single loop
- Iterate over all collections instead of grouped segments
- Get collection metadata from manager instead of segment instances
- Correctly set NumEntities to 0 for collections with no segments
- Apply the same fix to both growing and sealed segment processing
- Add nil check for collection metadata before processing
This ensures all collection metrics are updated consistently, even when
segment count drops to zero.
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #44596
- querynode already init the storage v2 and segcore, so streamingnode
should not do this again.
- It also fix the gcp object storage access denied.
Signed-off-by: chyezh <chyezh@outlook.com>
issue: https://github.com/milvus-io/milvus/issues/27467
>My plan is as follows.
>- [x] M1 Create collection with timestamptz field
>- [x] M2 Insert timestamptz field data
>- [x] M3 Retrieve timestamptz field data
>- [x] M4 Implement handoff
>- [x] M5 Implement compare operator
>- [x] M6 Implement extract operator
>- [x] M8 Support database/collection level default timezone
>- [x] M7 Support STL-SORT index for datatype timestamptz
---
The third PR of issue: https://github.com/milvus-io/milvus/issues/27467,
which completes M5, M6, M7, M8 described above.
## M8 Default Timezone
We will be able to use alter_collection() and alter_database() in a
future Python SDK release to modify the default timezone at the
collection or database level.
For insert requests, the timezone will be resolved using the following
order of precedence: String Literal-> Collection Default -> Database
Default.
For retrieval requests, the timezone will be resolved in this order:
Query Parameters -> Collection Default -> Database Default.
In both cases, the final fallback timezone is UTC.
## M5: Comparison Operators
We can now use the following expression format to filter on the
timestamptz field:
- `timestamptz_field [+/- INTERVAL 'interval_string'] {comparison_op}
ISO 'iso_string' `
- The interval_string follows the ISO 8601 duration format, for example:
P1Y2M3DT1H2M3S.
- The iso_string follows the ISO 8601 timestamp format, for example:
2025-01-03T00:00:00+08:00.
- Example expressions: "tsz + INTERVAL 'P0D' != ISO
'2025-01-03T00:00:00+08:00'" or "tsz != ISO
'2025-01-03T00:00:00+08:00'".
## M6: Extract
We will be able to extract sepecific time filed by kwargs in a future
Python SDK release.
The key is `time_fields`, and value should be one or more of "year,
month, day, hour, minute, second, microsecond", seperated by comma or
space. Then the result of each record would be an array of int64.
## M7: Indexing Support
Expressions without interval arithmetic can be accelerated using an
STL-SORT index. However, expressions that include interval arithmetic
cannot be indexed. This is because the result of an interval calculation
depends on the specific timestamp value. For example, adding one month
to a date in February results in a different number of added days than
adding one month to a date in March.
---
After this PR, the input / output type of timestamptz would be iso
string. Timestampz would be stored as timestamptz data, which is int64_t
finally.
> for more information, see https://en.wikipedia.org/wiki/ISO_8601
---------
Signed-off-by: xtx <xtianx@smail.nju.edu.cn>
issue: #44373
The current commit implements sparse filtering in query tasks using the
statistical information (Bloom filter/MinMax) of the Primary Key (PK).
The statistical information of the PK is bound to the segment during the
segment loading phase. A new filter has been added to the segment filter
to enable the sparse filtering functionality.
Signed-off-by: jiaqizho <jiaqi.zhou@zilliz.com>
issue: #44212
Implement search/query storage usage statistics in go side(result
reduce), only record storage usage in vector search C++ path. Need to be
implemented in query c++ path in next prs.
---------
Signed-off-by: chasingegg <chao.gao@zilliz.com>
Signed-off-by: marcelo.chen <marcelo.chen@zilliz.com>
Co-authored-by: marcelo.chen <marcelo.chen@zilliz.com>
Related to #39173
- Put bucket name concatenation logic back for azure support
This reverts commit 8f97eb355fde6b86cf37f166d2191750b4210ba3.
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
Related to #39173
This PR:
- Bump milvus-storage commit to handle bucket name concatenation logic
in multipart s3 fs
- Remove all user-side bucket name concatenation code
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: https://github.com/milvus-io/milvus/issues/42032
- Use bytes to estimate load resource in the whole estimation procedure
- Add num_rows and dim info for vector index to better estimate
- Disable eviction for tiered index's meta
---------
Signed-off-by: chasingegg <chao.gao@zilliz.com>
issue: #42942
This pr includes the following changes:
1. Added checks for index checker in querycoord to generate drop index
tasks
2. Added drop index interface to querynode
3. To avoid search failure after dropping the index, the querynode
allows the use of lazy mode (warmup=disable) to load raw data even when
indexes contain raw data.
4. In segcore, loading the index no longer deletes raw data; instead, it
evicts it.
5. In expr, the index is pinned to prevent concurrent errors.
---------
Signed-off-by: sunby <sunbingyi1992@gmail.com>
This PR adds a mutex prevent concurrent applying delete on same segment
and check latestDeltaTimestamp to skip overlapping delete range
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>
#42032
Also, fix the cacheoptfield method to work in storagev2.
Also, change the sparse related interface for knowhere version bump
#43974 .
Also, includes https://github.com/milvus-io/milvus/pull/44046 for metric
lost.
---------
Signed-off-by: chasingegg <chao.gao@zilliz.com>
Signed-off-by: marcelo.chen <marcelo.chen@zilliz.com>
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
Co-authored-by: marcelo.chen <marcelo.chen@zilliz.com>
Co-authored-by: Congqi Xia <congqi.xia@zilliz.com>
Ref https://github.com/milvus-io/milvus/issues/42148
This PR supports create index for vector array (now, only for
`DataType.FLOAT_VECTOR`) and search on it.
The index type supported in this PR is `EMB_LIST_HNSW` and the metric
type is `MAX_SIM` only.
The way to use it:
```python
milvus_client = MilvusClient("xxx:19530")
schema = milvus_client.create_schema(enable_dynamic_field=True, auto_id=True)
...
struct_schema = milvus_client.create_struct_array_field_schema("struct_array_field")
...
struct_schema.add_field("struct_float_vec", DataType.ARRAY_OF_VECTOR, element_type=DataType.FLOAT_VECTOR, dim=128, max_capacity=1000)
...
schema.add_struct_array_field(struct_schema)
index_params = milvus_client.prepare_index_params()
index_params.add_index(field_name="struct_float_vec", index_type="EMB_LIST_HNSW", metric_type="MAX_SIM", index_params={"nlist": 128})
...
milvus_client.create_index(COLLECTION_NAME, schema=schema, index_params=index_params)
```
Note: This PR uses `Lims` to convey offsets of the vector array to
knowhere where vectors of multiple vector arrays are concatenated and we
need offsets to specify which vectors belong to which vector array.
---------
Signed-off-by: SpadeA <tangchenjie1210@gmail.com>
Signed-off-by: SpadeA-Tang <tangchenjie1210@gmail.com>
Related to #43230
This PR
- Move segcore setup function to `initcore` package to remove cgo
dependency from pkg
- Register core callback only for components depends on segcore
- Rectify `UpdateLogLevel` implementation
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #43767
- Enhance serviceable check logic to properly handle full vs partial
result requirements
- For full result (requiredLoadRatio >= 1.0): check
queryView.Serviceable()
- For partial result (requiredLoadRatio < 1.0): check load ratio
satisfaction
- Add comprehensive unit tests covering all serviceable check scenarios
This enhancement ensures delegator correctly validates serviceability
based on the requested result completeness, improving reliability of
query operations.
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
