Examples

Index > AuroraDSQL > Examples

Auto-generated documentation for AuroraDSQL type annotations stubs module types-boto3-dsql.

Client

Implicit type annotations

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

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

# AuroraDSQLClient usage example

from boto3.session import Session


session = Session()

client = session.client("dsql")  # (1)
result = client.create_cluster()  # (2)

1. client: AuroraDSQLClient
2. result: CreateClusterOutputTypeDef

# ListClustersPaginator usage example

from boto3.session import Session


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

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

1. client: AuroraDSQLClient
2. paginator: ListClustersPaginator
3. item: ListClustersOutputTypeDef

# ClusterActiveWaiter usage example

from boto3.session import Session


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

waiter = client.get_waiter("cluster_active")  # (2)
waiter.wait()

1. client: AuroraDSQLClient
2. waiter: ClusterActiveWaiter

Explicit type annotations

With types-boto3-lite[dsql] or a standalone types_boto3_dsql package, you have to explicitly specify client: AuroraDSQLClient 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.

# AuroraDSQLClient usage example with type annotations

from boto3.session import Session

from types_boto3_dsql.client import AuroraDSQLClient
from types_boto3_dsql.type_defs import CreateClusterOutputTypeDef
from types_boto3_dsql.type_defs import CreateClusterInputRequestTypeDef


session = Session()

client: AuroraDSQLClient = session.client("dsql")

kwargs: CreateClusterInputRequestTypeDef = {...}
result: CreateClusterOutputTypeDef = client.create_cluster(**kwargs)

# ListClustersPaginator usage example with type annotations

from boto3.session import Session

from types_boto3_dsql.client import AuroraDSQLClient
from types_boto3_dsql.paginator import ListClustersPaginator
from types_boto3_dsql.type_defs import ListClustersOutputTypeDef


session = Session()
client: AuroraDSQLClient = session.client("dsql")

paginator: ListClustersPaginator = client.get_paginator("list_clusters")
for item in paginator.paginate(...):
    item: ListClustersOutputTypeDef
    print(item)

# ClusterActiveWaiter usage example with type annotations

from boto3.session import Session

from types_boto3_dsql.client import AuroraDSQLClient
from types_boto3_dsql.waiter import ClusterActiveWaiter

session = Session()
client: AuroraDSQLClient = session.client("dsql")

waiter: ClusterActiveWaiter = client.get_waiter("cluster_active")
waiter.wait()