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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> |
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| benchmark | ||
| docker | ||
| go_client | ||
| integration | ||
| java_client | ||
| python_client | ||
| restful_client | ||
| restful_client_v2 | ||
| scripts | ||
| OWNERS | ||
| README_CN.md | ||
| README.md | ||
Tests
E2E Test
Configuration Requirements
Operating System
| Operating System | Version |
|---|---|
| Amazon Linux | 2023 or above |
| Ubuntu | 20.04 or above |
| Mac | 10.14 or above |
Hardware
| Hardware Type | Recommended Configuration |
|---|---|
| CPU | x86_64 architecture Intel CPU Sandy Bridge or above CPU Instruction Set - SSE4_2 - AVX - AVX2 - AVX512 or arm64 Linux/MacOS |
| Memory | 16 GB or more |
Software
| Software Name | Version |
|---|---|
| Docker | 19.05 or above |
| Docker Compose | 1.25.5 or above |
| jq | 1.3 or above |
| kubectl | 1.14 or above |
| helm | 3.0 or above |
| kind | 0.10.0 or above |
Installing Dependencies
Troubleshooting Docker and Docker Compose
- Confirm that Docker Daemon is running：
$ docker info
-
Ensure that Docker is installed. Refer to the official installation instructions for Docker CE/EE.
-
Start the Docker Daemon if it is not already started.
-
To run Docker without
rootprivileges, create a user group labeleddocker, then add a user to the group withsudo usermod -aG docker $USER. Log out and log back into the terminal for the changes to take effect. For more information, see the official Docker documentation for Managing Docker as a Non-Root User.
- Check the version of Docker-Compose
$ docker compose version
docker compose version 1.25.5, build 8a1c60f6
docker-py version: 4.1.0
CPython version: 3.7.5
OpenSSL version: OpenSSL 1.1.1f 31 Mar 2020
- To install Docker-Compose, see Install Docker Compose
Install jq
Install kubectl
Install helm
- Refer to https://helm.sh/docs/intro/install/
Install kind
Run E2E Tests
$ cd tests/scripts
$ ./e2e-k8s.sh
Getting help
You can get help with the following command:
$ ./e2e-k8s.sh --help