issue: #38399
- move the lifetime implementation of common code out of the server
level lifetime implementation
Signed-off-by: chyezh <chyezh@outlook.com>
issue: #35563
1. Use an internal health checker to monitor the cluster's health state,
storing the latest state on the coordinator node. The CheckHealth
request retrieves the cluster's health from this latest state on the
proxy sides, which enhances cluster stability.
2. Each health check will assess all collections and channels, with
detailed failure messages temporarily saved in the latest state.
3. Use CheckHealth request instead of the heavy GetMetrics request on
the querynode and datanode
Signed-off-by: jaime <yun.zhang@zilliz.com>
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
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Signed-off-by: Xianhui.Lin <xianhui.lin@zilliz.com>
issue: #33285
- move most cgo opeartions related to search/query into segcore package
for reusing for streamingnode.
- add go unittest for segcore operations.
Signed-off-by: chyezh <chyezh@outlook.com>
issue: #37764
- add a local client to call local server directly for
querycoord/rootcoord/datacoord.
- enable local client if milvus is running mixcoord or standalone mode.
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Signed-off-by: chyezh <chyezh@outlook.com>
issue : https://github.com/milvus-io/milvus/issues/36864
I have a few questions regarding my approach.I will consolidate them
here for feedback and review.Thanks
---------
Signed-off-by: Nischay Yadav <nischay.yadav@ibm.com>
Signed-off-by: Nischay <Nischay.Yadav@ibm.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: #33285
- Modify the proto of consumer of streaming service.
- Make VChannel as a required option for streaming
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Signed-off-by: chyezh <chyezh@outlook.com>
issue: #36977
with node_label_filter on resource group, user can add label on
querynode with env `MILVUS_COMPONENT_LABEL`, then resource group will
prefer to accept node which match it's node_label_filter.
then querynode's can't be group by labels, and put querynodes with same
label to same resource groups.
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
issue: #34298
because all vector index config checker has been moved into
vector_index_checker, then the useless checkers can be removed.
Signed-off-by: xianliang.li <xianliang.li@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>
Relatedt #36887
DirectFoward streaming delete will cause memory usage explode if the
segments number was large. This PR add batching delete API and using it
for direct forward implementation.
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
issue: #35922
add an enable_tokenizer param to varchar field: must be set to true so
that a varchar field can enable_match or used as input of BM25 function
---------
Signed-off-by: Buqian Zheng <zhengbuqian@gmail.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
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