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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%' }

The following operations are related to loading_progress():