has_index()
This operation checks whether the current collection has a built index.
Request Syntax
has_index(timeout: float | None)
PARAMETERS:
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 a built index 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
)
# Set the index parameters
index_params = {
"index_type": "IVF_FLAT",
"metric_type": "COSINE",
"params": {
"nlist": 128
}
}
# Create an index
collection.create_index(
field_name="test_collection",
index_params=index_params,
timeout=None
)
# Check the index
collection.has_index() # True
# Drop the index
collection.drop_index()
# Check the index
collection.has_index() # False
Related operations
The following operations are related to has_index():