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DocDBElastic module#

Index > DocDBElastic

Auto-generated documentation for DocDBElastic type annotations stubs module types-aiobotocore-docdb-elastic.

How to install#

You can generate type annotations for aiobotocore package locally with mypy-boto3-builder. Use uv for build isolation.

  1. Run mypy-boto3-builder in your package root directory: uvx --with 'aiobotocore==2.23.0' mypy-boto3-builder
  2. Select aiobotocore AWS SDK.
  3. Add DocDBElastic service.
  4. Use provided commands to install generated packages.

From PyPI with pip#

Install types-aiobotocore for DocDBElastic service.

# install with aiobotocore type annotations
python -m pip install 'types-aiobotocore[docdb-elastic]'

# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'types-aiobotocore-lite[docdb-elastic]'

# standalone installation
python -m pip install types-aiobotocore-docdb-elastic

How to uninstall#

python -m pip uninstall -y types-aiobotocore-docdb-elastic

Usage#

Code samples can be found in Examples.

DocDBElasticClient#

Type annotations and code completion for session.create_client("docdb-elastic") as DocDBElasticClient boto3 documentation

# DocDBElasticClient usage example

from aiobotocore.session import get_session

from types_aiobotocore_docdb_elastic.client import DocDBElasticClient


session = get_session()
async with session.create_client("docdb-elastic") as client:
    client: DocDBElasticClient

Paginators#

Type annotations and code completion for paginators from session.create_client("docdb-elastic").get_paginator("...").

# ListClusterSnapshotsPaginator usage example

from types_aiobotocore_docdb_elastic.paginator import ListClusterSnapshotsPaginator

def get_list_cluster_snapshots_paginator() -> ListClusterSnapshotsPaginator:
    return client.get_paginator("list_cluster_snapshots"))

Literals#

Type annotations for literals used in methods and schema.

# AuthType usage example

from types_aiobotocore_docdb_elastic.literals import AuthType

def get_value() -> AuthType:
    return "PLAIN_TEXT"

Type definitions#

Type annotations for type definitions used in methods and schema.