flush_all()

This operation seals all segments.

Request Syntax

flush_all(
    using: str = "default",
    timeout: float | None,
    **kwargs,
)

PARAMETERS:

• using (str) -

  The alias of the employed connection.

  The default value is default, indicating that this operation employs the default connection.

• 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

EXCEPTIONS:

N/A

Examples

from pymilvus import (
    connections, 
    Collection, 
    FieldSchema, 
    CollectionSchema, 
    DataType, 
    utility,
)

# Connect to localhost:19530
connections.connect()

# Create a collection
collection = Collection(
    name="test_collection_flush", 
    schema=CollectionSchema(fields=[
        FieldSchema("film_id", DataType.INT64, is_primary=True),
        FieldSchema("films", dtype=DataType.FLOAT_VECTOR, dim=128)
    ])
)

# Insert data
collection.insert([[1, 2], [[1.0, 2.0], [3.0, 4.0]]])

utility.flush_all(_async=False) # synchronized flush_all
# or use `future` to flush_all asynchronously

future = utility.flush_all(_async=True)
future.done() # flush_all finished