load()

This operation loads the data of the current partition into memory.

Request Syntax

load(
    replica_number: int,
    timeout: float | None
)

PARAMETERS:

• replica_number (int)

  The number of replicas to load in the current partition. The default value is 1, indicating that one replica in the current partition is loaded.

• 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.

• kwargs -

  • _resource_groups (list) -

    A specific set of resource groups into which the current collection is to be loaded.

    If left unspecified, the default resource group applies.

    what is a resource group?

    A resource group can hold several or all of the query nodes in a Milvus instance.

    Setting this parameter for this operation makes Milvus loads the current collection to the query nodes in the specified resource groups.

RETURN TYPE:

NoneType

RETURNS:

None

EXCEPTIONS:

• MilvusException

  This arises when any error occurs during this operation.

Examples

from pymilvus import Collection, Partition, CollectionSchema, FieldSchema, DataType

schema = CollectionSchema([
    FieldSchema("id", DataType.INT64, is_primary=True),
    FieldSchema("vector", DataType.FLOAT_VECTOR, dim=5)
])

# Create a collection
collection = Collection(
    name="test_collection",
    schema=schema
)

# Create a partition
partition = Partition(
    collection=collection,
    name="test_partition"
)

# Load a partition with one replica of the collection data
partition.load()

# Load a partition with two replicas of the collection data
partition.load(
    replica_number=2
)

Related operations

The following operations are related to load():

• drop()

• get_replicas()

• release()