Examples
Index > DataPipeline > Examples
Auto-generated documentation for DataPipeline type annotations stubs module types-aiobotocore-datapipeline.
Client
Implicit type annotations
Can be used with types-aioboto3[datapipeline]
package installed.
Write your DataPipeline
code as usual,
type checking and code completion should work out of the box.
Client usage example
from aioboto3.session import Session
session = Session()
async with session.client("datapipeline") as client: # (1)
result = await client.create_pipeline() # (2)
- client: DataPipelineClient
- result: CreatePipelineOutputTypeDef
Paginator usage example
from aioboto3.session import Session
session = Session()
async with session.client("datapipeline") as client: # (1)
paginator = client.get_paginator("describe_objects") # (2)
async for item in paginator.paginate(...):
print(item) # (3)
- client: DataPipelineClient
- paginator: DescribeObjectsPaginator
- item: DescribeObjectsOutputTypeDef
Explicit type annotations
With types-aioboto3-lite[datapipeline]
or a standalone types_aiobotocore_datapipeline
package, you have to explicitly specify
client: DataPipelineClient
type annotation.
All other type annotations are optional, as types should be discovered automatically. However, these type annotations can be helpful in your functions and methods.
Client usage example
from aioboto3.session import Session
from types_aiobotocore_datapipeline.client import DataPipelineClient
from types_aiobotocore_datapipeline.type_defs import CreatePipelineOutputTypeDef
from types_aiobotocore_datapipeline.type_defs import CreatePipelineInputRequestTypeDef
session = Session()
client: DataPipelineClient
async with session.client("datapipeline") as client: # (1)
kwargs: CreatePipelineInputRequestTypeDef = {...} # (2)
result: CreatePipelineOutputTypeDef = await client.create_pipeline(**kwargs) # (3)
- client: DataPipelineClient
- kwargs: CreatePipelineInputRequestTypeDef
- result: CreatePipelineOutputTypeDef
Paginator usage example
from aioboto3.session import Session
from types_aiobotocore_datapipeline.client import DataPipelineClient
from types_aiobotocore_datapipeline.paginator import DescribeObjectsPaginator
from types_aiobotocore_datapipeline.type_defs import DescribeObjectsOutputTypeDef
session = Session()
client: DataPipelineClient
async with session.client("datapipeline") as client: # (1)
paginator: DescribeObjectsPaginator = client.get_paginator("describe_objects") # (2)
async for item in paginator.paginate(...):
item: DescribeObjectsOutputTypeDef
print(item) # (3)
- client: DataPipelineClient
- paginator: DescribeObjectsPaginator
- item: DescribeObjectsOutputTypeDef