Examples

Index > GlueDataBrew > Examples

Auto-generated documentation for GlueDataBrew type annotations stubs module types-boto3-databrew.

Client

Implicit type annotations

Can be used with types-boto3[databrew] package installed.

Write your GlueDataBrew code as usual, type checking and code completion should work out of the box.

# GlueDataBrewClient usage example

from boto3.session import Session


session = Session()

client = session.client("databrew")  # (1)
result = client.batch_delete_recipe_version()  # (2)

1. client: GlueDataBrewClient
2. result: BatchDeleteRecipeVersionResponseTypeDef

# ListDatasetsPaginator usage example

from boto3.session import Session


session = Session()
client = session.client("databrew")  # (1)

paginator = client.get_paginator("list_datasets")  # (2)
for item in paginator.paginate(...):
    print(item)  # (3)

1. client: GlueDataBrewClient
2. paginator: ListDatasetsPaginator
3. item: ListDatasetsResponseTypeDef

Explicit type annotations

With types-boto3-lite[databrew] or a standalone types_boto3_databrew package, you have to explicitly specify client: GlueDataBrewClient 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.

# GlueDataBrewClient usage example with type annotations

from boto3.session import Session

from types_boto3_databrew.client import GlueDataBrewClient
from types_boto3_databrew.type_defs import BatchDeleteRecipeVersionResponseTypeDef
from types_boto3_databrew.type_defs import BatchDeleteRecipeVersionRequestRequestTypeDef


session = Session()

client: GlueDataBrewClient = session.client("databrew")

kwargs: BatchDeleteRecipeVersionRequestRequestTypeDef = {...}
result: BatchDeleteRecipeVersionResponseTypeDef = client.batch_delete_recipe_version(**kwargs)

# ListDatasetsPaginator usage example with type annotations

from boto3.session import Session

from types_boto3_databrew.client import GlueDataBrewClient
from types_boto3_databrew.paginator import ListDatasetsPaginator
from types_boto3_databrew.type_defs import ListDatasetsResponseTypeDef


session = Session()
client: GlueDataBrewClient = session.client("databrew")

paginator: ListDatasetsPaginator = client.get_paginator("list_datasets")
for item in paginator.paginate(...):
    item: ListDatasetsResponseTypeDef
    print(item)