6 Commits

Author SHA1 Message Date
cai.zhang
19346fa389
feat: Geospatial Data Type and GIS Function support for milvus (#44547)
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>
2025-09-28 19:43:05 +08:00
Spade A
d6a428e880
feat: impl StructArray -- support create index for vector array (embedding list) and search on it (#43726)
Ref https://github.com/milvus-io/milvus/issues/42148

This PR supports create index for vector array (now, only for
`DataType.FLOAT_VECTOR`) and search on it.
The index type supported in this PR is `EMB_LIST_HNSW` and the metric
type is `MAX_SIM` only.

The way to use it:
```python
milvus_client = MilvusClient("xxx:19530")
schema = milvus_client.create_schema(enable_dynamic_field=True, auto_id=True)
...
struct_schema = milvus_client.create_struct_array_field_schema("struct_array_field")
...
struct_schema.add_field("struct_float_vec", DataType.ARRAY_OF_VECTOR, element_type=DataType.FLOAT_VECTOR, dim=128, max_capacity=1000)
...
schema.add_struct_array_field(struct_schema)
index_params = milvus_client.prepare_index_params()
index_params.add_index(field_name="struct_float_vec", index_type="EMB_LIST_HNSW", metric_type="MAX_SIM", index_params={"nlist": 128})
...
milvus_client.create_index(COLLECTION_NAME, schema=schema, index_params=index_params)
```

Note: This PR uses `Lims` to convey offsets of the vector array to
knowhere where vectors of multiple vector arrays are concatenated and we
need offsets to specify which vectors belong to which vector array.

---------

Signed-off-by: SpadeA <tangchenjie1210@gmail.com>
Signed-off-by: SpadeA-Tang <tangchenjie1210@gmail.com>
2025-08-20 10:27:46 +08:00
Bingyi Sun
9676365af9
fix: Fix json index not equal filter (#40647)
issue: #35528

---------

Signed-off-by: sunby <sunbingyi1992@gmail.com>
2025-03-27 23:06:23 +08:00
Bingyi Sun
a7cff3873b
fix: Verify json_cast_type (#40604)
issue: https://github.com/milvus-io/milvus/issues/40420

---------

Signed-off-by: sunby <sunbingyi1992@gmail.com>
2025-03-14 16:48:26 +08:00
Bingyi Sun
b59555057d
feat: support json index (#36750)
https://github.com/milvus-io/milvus/issues/35528

This PR adds json index support for json and dynamic fields. Now you can
only do unary query like 'a["b"] > 1' using this index. We will support
more filter type later.

basic usage:
```
collection.create_index("json_field", {"index_type": "INVERTED",
    "params": {"json_cast_type": DataType.STRING, "json_path":
'json_field["a"]["b"]'}})
```

There are some limits to use this index:
1. If a record does not have the json path you specify, it will be
ignored and there will not be an error.
2. If a value of the json path fails to be cast to the type you specify,
it will be ignored and there will not be an error.
3. A specific json path can have only one json index.
4. If you try to create more than one json indexes for one json field,
sdk(pymilvus<=2.4.7) may return immediately because of internal
implementation. This will be fixed in a later version.

---------

Signed-off-by: sunby <sunbingyi1992@gmail.com>
2025-02-15 14:06:15 +08:00
foxspy
d7b2ffe5aa
enhance: add an unify vector index config checker (#36844)
issue: #34298

Signed-off-by: xianliang.li <xianliang.li@zilliz.com>
2024-10-28 10:11:37 +08:00