loading_progress()
This operation returns the load progress of a specific collection.
Request Syntax
loading_progress(
collection_name: str,
partition_names: list[str] | None,
using: str = "default",
timeout: float | None,
)
PARAMETERS:
collection_name (str) -
[REQUIRED]
The name of a collection.
partition_names (list[str]) -
A list of partition names.
If any partition names are specified, releasing any of these partitions results in the return of a NotLoad state.
using (string) -
The alias of the employed connection.
The default value is default, indicating that this operation employs the default connection.
timeout (float | None)
The timeout duration for this operation. Setting this to None indicates that this operation timeouts when any response arrives or any error occurs.
RETURN TYPE:
dict
RETURNS:
A dictionary that contains information about the index_building progress.
The dictionary has the following keys:
loading_progress (str)
The load progress of the specified collection.
EXCEPTIONS:
MilvusException
This exception will be raised when any error occurs during this operation.
Examples
from pymilvus import (
connections,
Collection,
CollectionSchema,
FieldSchema,
DataType,
utility,
)
# Connect to localhost:19530
connections.connect()
# Create a collection
collection = Collection(
name="test_collection",
schema=CollectionSchema([
FieldSchema("id", DataType.INT64, is_primary=True),
FieldSchema("vector", DataType.FLOAT_VECTOR, dim=5)
])
)
# Set the index parameters
index_params = {
"index_type": "AUTOINDEX",
"metric_type": "COSINE",
"params": {
"nprobe": 10
}
}
# Create an index on the vector field
collection.create_index(
field_name="vector",
index_params=index_params,
timeout=None
)
# Load the collection
collection.load()
# Get the load progress
utility.loading_progress(
collection_name="test_collection",
) # {loading_progress: '100%' }
Related operations
The following operations are related to loading_progress():