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