python/example_code/glacier/README.md
Shows how to use the AWS SDK for Python (Boto3) to work with Amazon Glacier.
<!--custom.overview.start--> <!--custom.overview.end-->Amazon Glacier provides durable and extremely low-cost storage for infrequently used data with security features for data archiving and backup.
For prerequisites, see the README in the python folder.
Install the packages required by these examples by running the following in a virtual environment:
python -m pip install -r requirements.txt
Code excerpts that show you how to call individual service functions.
Code examples that show you how to accomplish a specific task by calling multiple functions within the same service.
<!--custom.examples.start--> <!--custom.examples.end-->This example shows you how to do the following:
Start the example by running the following at a command prompt:
python glacier_basics.py
This example shows you how to do the following:
Start the example by running the following at a command prompt:
python glacier_basics.py
Because Amazon S3 Glacier is designed for infrequent retrieval, a typical retrieval job takes 3–5 hours to complete.
<!--custom.scenarios.glacier_Usage_RetrieveDelete.end-->⚠ Running tests might result in charges to your AWS account.
To find instructions for running these tests, see the README
in the python folder.
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SPDX-License-Identifier: Apache-2.0