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  • Python

load_partitions()

This operation loads a specific set of partitions in a specified collection into memory.

Request syntax

load_partitions(
    collection_name: str,
    partition_names: str | List[str],
    timeout: Optional[float] = None
) -> None

PARAMETERS:

  • collection_name (str) -

    [REQUIRED]

    The name of an existing collection.

  • partition_names (str | list[str]) -

    [REQUIRED]

    A list of the names of the partitions to load.

  • 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:

NoneType

RETURNS:

None

notes

A collection is in the loaded state only if any or all of its partitions are loaded.

EXCEPTIONS:

  • MilvusException

    This exception will be raised when any error occurs during this operation.

Example

from pymilvus import MilvusClient

# 1. Create a milvus client
client = MilvusClient(
    uri="http://localhost:19530",
    token="root:Milvus"
)

# 2. Create a collection
client.create_collection(collection_name="test_collection", dimension=5)

# 3. Create a partition
client.create_partition(
    collection_name="test_collection", 
    partition_name="partition_A"
)

# 4. Release the collection
client.release_collection(collection_name="test_collection")

# 5. Load a partition
client.load_partitions(
    collection_name="test_collection",
    partition_names=["partition_A"]
)

# 6. Check the load status of the collection
client.get_load_state(collection_name="test_collection") 

# {'state': <LoadState: Loaded>}

# 7. Check the load status of the partition
client.get_load_state(
    collection_name="test_collection",
    partition_name="partition_A",
)

# {'state': <LoadState: Loaded>}