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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>
124 lines
6.9 KiB
Plaintext
124 lines
6.9 KiB
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