issue: #43427
This pr's main goal is merge #37417 to milvus 2.5 without conflicts.
# Main Goals
1. Create and describe collections with geospatial type
2. Insert geospatial data into the insert binlog
3. Load segments containing geospatial data into memory
4. Enable query and search can display geospatial data
5. Support using GIS funtions like ST_EQUALS in query
6. Support R-Tree index for geometry type
# 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.Now only support brutal search
7. **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: Yinwei Li <yinwei.li@zilliz.com>
Signed-off-by: Cai Zhang <cai.zhang@zilliz.com>
Co-authored-by: ZhuXi <150327960+Yinwei-Yu@users.noreply.github.com>
issue: #41609
- add env `MILVUS_NODE_ID_FOR_TESTING` to set up a node id for milvus
process.
- add env `MILVUS_CONFIG_REFRESH_INTERVAL` to set up the refresh
interval of paramtable.
- Init paramtable when calling `paramtable.Get()`.
- add new multi process framework for integration test.
- change all integration test into multi process.
- merge some test case into one suite to speed up it.
- modify some test, which need to wait for issue #42966, #42685.
- remove the waittssync for delete collection to fix issue: #42989
---------
Signed-off-by: chyezh <chyezh@outlook.com>
1. Optimize the import process: skip subsequent steps and mark the task
as complete if the number of imported rows is 0.
2. Improve import integration tests:
a. Add a test to verify that autoIDs are not duplicated
b. Add a test for the corner case where all data is deleted
c. Shorten test execution time
3. Enhance import logging:
a. Print imported segment information upon completion
b. Include file name in failure logs
issue: https://github.com/milvus-io/milvus/issues/42488,
https://github.com/milvus-io/milvus/issues/42518
Signed-off-by: bigsheeper <yihao.dai@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>
This PR introduce stats task for import:
1. Define new `Stats` and `IndexBuilding` states for importJob
2. Add new stats step to the import process: trigger the stats task and
wait for its completion
3. Abort stats task if import job failed
issue: https://github.com/milvus-io/milvus/issues/33744
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
1. Fill log ID of stats log from import
2. Add a check to validate the log ID before writing to meta
issue: https://github.com/milvus-io/milvus/issues/33476
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
This PR introduces novel managerial roles for importv2:
1. ImportMeta: To manage all the import tasks;
2. ImportScheduler: To process tasks and modify their states;
3. ImportChecker: To ascertain the completion of all tasks and instigate
relevant operations.
issue: https://github.com/milvus-io/milvus/issues/28521
---------
Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
