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: #42032#44212
- special case for warmup param and cell storage size for tiered index
- add a config to enable/disable storage usage tracking
---------
Signed-off-by: chasingegg <chao.gao@zilliz.com>
issue: #43858
Refactor the balance checker implementation to use priority queues for
managing collection balance operations, improving processing efficiency
and order control.
Changes include:
- Export priority queue interfaces (Item, BaseItem, PriorityQueue)
- Replace collection round-robin with priority-based queue system
- Add BalanceCheckCollectionMaxCount configuration parameter
- Optimize balance task generation with batch processing limits
- Refactor processBalanceQueue method for different strategies
- Enhance test coverage with comprehensive unit tests
The new priority queue system processes collections based on row count
or collection ID order, providing better control over balance operation
priorities and resource utilization.
---------
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
Related to #44257
This PR makes partition key & clustering candidates of system field
group and adds param item controlling the policy
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #43980
This commit optimizes the partial update merge logic by standardizing
nullable field representation before merge operations to avoid corner
cases during the merge process.
Key changes:
- Unify nullable field data format to FULL FORMAT before merge execution
- Add extensive unit tests for bounds checking and edge cases
The optimization ensures:
- Consistent nullable field representation across SDK and internal
- Proper handling of null values during merge operations
- Prevention of index out-of-bounds errors in vector field updates
- Better error handling and validation for partial update scenarios
This resolves issues where different nullable field formats could cause
merge failures or data corruption during partial update operations.
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
issue: #43858
Reduce CompactionDropToleranceInSeconds from 24 hours to 1 hour to
improve memory efficiency and faster task metadata cleanup. Changes
include:
- Update default value from 86400s (24h) to 3600s (1h) in
component_param.go
- Update corresponding configuration in milvus.yaml
- Faster cleanup of completed compaction task metadata
- Reduce memory footprint by shorter retention period
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
issue: https://github.com/milvus-io/milvus/issues/44011
namespace is an alias for tenant. if this property is enabled, milvus
will add a __namespace_id field.
Modifications in the future will use this property to do compaction and
search.
---------
Signed-off-by: sunby <sunbingyi1992@gmail.com>
issue: #43980
Fix panic issue caused by incorrect nullable field merging logic when
upsert converts to insert operation on empty tables.
- Add AppendFieldDataWithNullData to handle nullable field merging
- Fix existing data merge with skipAppendNullData=false
- Fix insert data merge with skipAppendNullData=true
- Add unit tests for nullable field data appending scenarios
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
related: #42417
- Add NameValidationAllowedChars and RoleNameValidationAllowedChars
configuration parameters to specify additional characters allowed
respectively in (generic) names and a role names
- All validations in validateName method is moved to a the new method
validateNameWithCustomChars which is called by both validateName
and ValidateRoleName while specifying characters allowed
Signed-off-by: Jean-Francois Weber-Marx <jfwm@hotmail.com>
Signed-off-by: Jean-Francois Weber-Marx <jf.webermarx@criteo.com>
issue: https://github.com/milvus-io/milvus/issues/44105
- I have added support to set this property
**queued.max.messages.kbytes** in kafka consumers from the user side.
- It limits the size (in KB) of the consumer’s local message queue
(buffer) where messages are temporarily stored after being fetched from
Kafka but before your application actually processes them
---------
Signed-off-by: Nischay Yadav <Nischay.Yadav@ibm.com>
issue: #43980
Fixes a panic that occurred when a partial update was converted to an
insert due to a non-existent primary key. The panic was caused by
missing nullable fields that were not provided in the original partial
update request.
The upsert pre-execution logic is refactored to handle this correctly:
- Explicitly splits upsert data into 'insert' and 'update' batches.
- Automatically generates data for missing nullable or default-value
fields during inserts, preventing the panic.
- Enhances `typeutil.UpdateFieldData` to support different source and
destination indexes for flexible data merging.
- Adds comprehensive unit tests for mixed upsert, pure insert, and pure
update scenarios.
---------
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
Related to #44058
This PR:
- Add common grpc metadata key for client request time
- Add gosdk & milvus inteceptor related logic for this attribute
- Bump go sdk version
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #43785
- pulsar client will print log into milvus logger now.
- pulsar client open the metric by default.
- upgrade the pulsar client to v0.15.1, and use offical repo.
- the fixing of milvus-io/pulsar-client-go is already covered by
official v0.15.1.
Signed-off-by: chyezh <chyezh@outlook.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>
- Add enable configuration for all model service providers
- Migrate environment variables from MILVUSAI_* to MILVUS_* prefix with
backward compatibility
- Unify model service enable/disable logic using configuration
- Add tests for environment variable parsing with fallback support
#35856
Signed-off-by: junjie.jiang <junjie.jiang@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>
issue: #29735
Implement partial field update functionality for upsert operations,
supporting scalar, vector, and dynamic JSON fields without requiring all
collection fields.
Changes:
- Add queryPreExecute to retrieve existing records before upsert
- Implement UpdateFieldData function for merging data
- Add IDsChecker utility for efficient primary key lookups
- Fix JSON data creation in tests using proper map marshaling
- Add test cases for partial updates of different field types
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
issue: #42416
- Rename the InsertMetric into ModifiedMetric.
- Add L0 control configuration.
- Add some L0 current state collect.
Signed-off-by: chyezh <chyezh@outlook.com>
