enhance :
1. alterindex delete properties
We have introduced a new parameter deleteKeys to the alterindex
functionality, which allows for the deletion of properties within an
index. This enhancement provides users with the flexibility to manage
index properties more effectively by removing specific keys as needed.
2. altercollection delete properties
We have introduced a new parameter deleteKeys to the altercollection
functionality, which allows for the deletion of properties within an
collection. This enhancement provides users with the flexibility to
manage collection properties more effectively by removing specific keys
as needed.
3.support altercollectionfield
We currently support modifying the fieldparams of a field in a
collection using altercollectionfield, which only allows changes to the
max-length attribute.
Key Points:
- New Parameter - deleteKeys: This new parameter enables the deletion of
specified properties from an index. By passing a list of keys to
deleteKeys, users can remove the corresponding properties from the
index.
- Mutual Exclusivity: The deleteKeys parameter cannot be used in
conjunction with the extraParams parameter. Users must choose one
parameter to pass based on their requirement. If deleteKeys is provided,
it indicates an intent to delete properties; if extraParams is provided,
it signifies the addition or update of properties.
issue: https://github.com/milvus-io/milvus/issues/37436
---------
Signed-off-by: Xianhui.Lin <xianhui.lin@zilliz.com>
issue: #38086
cause ManualCompact api pass collection id in request, but RBAC requires
to check collection name, so grant ManualCompact api doesn't work.
This PR refine the ManualCompact api to accpet collection name in
request.
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
issue: ##36621
- For simple types in a struct, add "string" to the JSON tag for
automatic string conversion during JSON encoding.
- For complex types in a struct, replace "int64" with "string."
Signed-off-by: jaime <yun.zhang@zilliz.com>
issue:https://github.com/milvus-io/milvus/issues/27576
# Main Goals
1. Create and describe collections with geospatial fields, enabling both
client and server to recognize and process geo fields.
2. Insert geospatial data as payload values in the insert binlog, and
print the values for verification.
3. Load segments containing geospatial data into memory.
4. Ensure query outputs can display geospatial data.
5. Support filtering on GIS functions for geospatial columns.
# Solution
1. **Add Type**: Modify the Milvus core by adding a Geospatial type in
both the C++ and Go code layers, defining the Geospatial data structure
and the corresponding interfaces.
2. **Dependency Libraries**: Introduce necessary geospatial data
processing libraries. In the C++ source code, use Conan package
management to include the GDAL library. In the Go source code, add the
go-geom library to the go.mod file.
3. **Protocol Interface**: Revise the Milvus protocol to provide
mechanisms for Geospatial message serialization and deserialization.
4. **Data Pipeline**: Facilitate interaction between the client and
proxy using the WKT format for geospatial data. The proxy will convert
all data into WKB format for downstream processing, providing column
data interfaces, segment encapsulation, segment loading, payload
writing, and cache block management.
5. **Query Operators**: Implement simple display and support for filter
queries. Initially, focus on filtering based on spatial relationships
for a single column of geospatial literal values, providing parsing and
execution for query expressions.
6. **Client Modification**: Enable the client to handle user input for
geospatial data and facilitate end-to-end testing.Check the modification
in pymilvus.
---------
Signed-off-by: tasty-gumi <1021989072@qq.com>
issue: #36672
The expression supports filling elements through templates, which helps
to reduce the overhead of parsing the elements.
---------
Signed-off-by: Cai Zhang <cai.zhang@zilliz.com>
Native support for Google cloud storage using the Google Cloud Storage
libraries. Authentication is performed using GCS service account
credentials JSON.
Currently, Milvus supports Google Cloud Storage using S3-compatible APIs
via the AWS SDK. This approach has the following limitations:
1. Overhead: Translating requests between S3-compatible APIs and GCS can
introduce additional overhead.
2. Compatibility Limitations: Some features of the original S3 API may
not fully translate or work as expected with GCS.
To address these limitations, This enhancement is needed.
Related Issue: #36212
See #36122
This PR is designed to enhance log performance through two improvements:
1. Optimize JSON encoding by switching JSON serializer to
`json-iterator`.
2. Adding support of lazy initialization `WithLazy`.
---------
Signed-off-by: Ted Xu <ted.xu@zilliz.com>
issue: #33285
- using streaming service in insert/upsert/flush/delete/querynode
- fixup flusher bugs and refactor the flush operation
- enable streaming service for dml and ddl
- pass the e2e when enabling streaming service
- pass the integration tst when enabling streaming service
---------
Signed-off-by: chyezh <chyezh@outlook.com>
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
`stackerror` pkg is imported by accident and could be replaced by
cockroachdb errors lib. This PR removes import line and fix this
problem.
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
See also #34746
This PR add segment level field in response of
`GetPersistentSegmentInfo` and `GetQuerySegmentInfo`
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
Cai Yudong
congqixia
SimFG
Xianhui Lin
cai.zhang
wei liu
sthuang
jaime
zhenshan.cao
Hao Tan
Xiaofan
Chun Han
smellthemoon
Rijin-N
Ted Xu
aoiasd
Yinzuo Jiang
yihao.dai
Zhen Ye
Patrick Weizhi Xu
Aldrin