has_partition()

This operation checks whether the specified partition exists in the current collection.

Request Syntax

has_partition(
    partition_name: str, 
    timeout: float | None,
)

PARAMETERS:

• partition_name (str) -

  The name of the partition to drop.

• 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:

bool

RETURNS:

A boolean value indicating whether the current collection has the specified partition or not

EXCEPTIONS:

• MilvusException

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

Examples

from pymilvus import Collection, 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 = collection.create_partition("test_partition")

# Check whether the partition exists
collection.has_partition("test_partition") # True

# Drop the partition
collection.drop_partition("test_partition")

# Check whether the partition exists
collection.has_partition("test_partition") # False

Related operations

The following operations are related to has_collection():

• Collection

• Partition

• create_partition()

• partition()

• drop_partition()