Release new docs

Author: Milvus-doc-bot

v2.4.x/site/en/reference/mmap.md

@@ -30,6 +30,30 @@ queryNode:
 ....
 ```
 
+After `2.4.10`, the configuration `queryNode.mmap.mmapEnabled` splits into below four seperate fields, and all defaults are `false`:
+
+- `queryNode.mmap.vectorField`, controls whether vector data is mmap;
+- `queryNode.mmap.vectorIndex`, controls whether vector index is mmap;
+- `queryNode.mmap.scalarField`, controls whether scalar data is mmap;
+- `queryNode.mmap.scalarIndex`, controls whether scalar index is mmap;
+
+```yaml
+# This parameter was set in configs/milvus.yaml
+...
+queryNode:
+  mmap:
+    vectorField: false # Enable mmap for loading vector data
+    vectorIndex: false # Enable mmap for loading vector index
+    scalarField: false # Enable mmap for loading scalar data
+    scalarIndex: false # Enable mmap for loading scalar index
+....
+```
+
+In addition, only vector index and vector data mmap can be turned on and off for a collection individually, but not for others.
+
+Compatibility: If the original configuration `queryNode.mmap.mmapEnabled` is set to `true`, the newly added configuration will be set to `true` at this time. If `queryNode.mmap.mmapEnabled` is set to `false`, if the new configuration is set to `true`, the final value will be `true`.
+
+
 ### During cluster operation: dynamic configuration
 
 During cluster runtime, you can dynamically adjust memory mapping settings at either the collection or index level.
@@ -46,6 +70,14 @@ collection = Collection("test_collection") # Replace with your collection name
 collection.set_properties({'mmap.enabled': True})
 ```
 
+After `2.4.10`, the memory mapping settings within a collection, utilize the `add_field` method. Here, you can toggle `mmap_enabled` between `True` or `False` as needed.
+
+```python
+schema = MilvusClient.create_schema()
+
+schema.add_field(field_name="embedding", datatype=DataType.FLOAT_VECTOR, dim=768, mmap_enabled=True)
+```
+
 For __index-level__ settings, memory mapping can be specifically applied to vector indexes without affecting other data types. This feature is invaluable for collections that require optimized performance for vector searches.
 
 To enable or disable memory mapping for an index within a collection, call the `alter_index()` method, specifying the target index name in `index_name` and setting `mmap.enabled` to `True` or `False`.