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RDSDataService module#

Index > RDSDataService

Auto-generated documentation for RDSDataService type annotations stubs module types-boto3-rds-data.

How to install#

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

  1. Run mypy-boto3-builder in your package root directory: uvx --with 'boto3==1.40.65' mypy-boto3-builder
  2. Select boto3 AWS SDK.
  3. Add RDSDataService service.
  4. Use provided commands to install generated packages.

VSCode extension#

Add AWS Boto3 extension to your VSCode and run AWS boto3: Quick Start command.

Click Modify and select boto3 common and RDSDataService.

From PyPI with pip#

Install types-boto3 for RDSDataService service.

# install with boto3 type annotations
python -m pip install 'types-boto3[rds-data]'

# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'types-boto3-lite[rds-data]'

# standalone installation
python -m pip install types-boto3-rds-data

How to uninstall#

python -m pip uninstall -y types-boto3-rds-data

Usage#

Code samples can be found in Examples.

RDSDataServiceClient#

Type annotations and code completion for boto3.client("rds-data") as RDSDataServiceClient boto3 documentation

# RDSDataServiceClient usage example

from boto3.session import Session

from types_boto3_rds_data.client import RDSDataServiceClient

def get_client() -> RDSDataServiceClient:
    return Session().client("rds-data")

Literals#

Type annotations for literals used in methods and schema.

# DecimalReturnTypeType usage example

from types_boto3_rds_data.literals import DecimalReturnTypeType

def get_value() -> DecimalReturnTypeType:
    return "DOUBLE_OR_LONG"

Type definitions#

Type annotations for type definitions used in methods and schema.