issue: #43427
pr: #37417
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
# 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
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: Yinwei Li <yinwei.li@zilliz.com>
Signed-off-by: Cai Zhang <cai.zhang@zilliz.com>
Co-authored-by: cai.zhang <cai.zhang@zilliz.com>
issue: #40729
master pr: #41009
Current approach to parse negative numbers is first parse the numeric
part and then multiply the result by -1(mainly to distinguish the
precedence of the negative sign and the subtraction operator). However,
for the minimum value of int64(`-9223372036854775808`), the value
`9223372036854775808` already exceeds the representable range of int64.
As a result, parsing error occurs.
Therefore, use a specific rule to match `-9223372036854775808`.
---------
Signed-off-by: Cai Zhang <cai.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>
OSPP 2024 project:
https://summer-ospp.ac.cn/org/prodetail/247410235?list=org&navpage=org
Solutions:
- parser (planparserv2)
- add CallExpr in planparserv2/Plan.g4
- update parser_visitor and show_visitor
- grpc protobuf
- add CallExpr in plan.proto
- execution (`core/src/exec`)
- add `CallExpr` `ValueExpr` and `ColumnExpr` (both logical and
physical) for function call and function parameters
- function factory (`core/src/exec/expression/function`)
- create a global hashmap when starting milvus (see server.go)
- the global hashmap stores function signatures and their function
pointers, the CallExpr in execution engine can get the function pointer
by function signature.
- custom functions
- empty(string)
- starts_with(string, string)
- add cpp/go unittests and E2E tests
closes: #36559
Signed-off-by: Yinzuo Jiang <jiangyinzuo@foxmail.com>
See also #34483
Some lint issues are introduced due to lack of static check run. This PR
fixes these problems.
---------
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
