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    S3 CLI

    The S3 CLI, or S3 Command Line Interface, is a single tool for managing S3 services based on the AWS S3 toolkit. With just one tool downloaded, it is possible to control many MCS S3 services from the command line and automate them with scripts.

    The S3 CLI introduces a new set of simple commands to efficiently receive and send files to MCS S3.

    With minimal configuration, the S3 CLI allows you to run commands from the command line in a terminal program:

    • Linux shells are common shell programs such as bash, zsh, and tcsh for executing commands on Linux or macOS.
    • Windows Command Prompt - On Windows, you run commands from the Windows Command Prompt or PowerShell.

    The S3 CLI is available in two versions, and the information in this guide applies to both, unless otherwise noted.

    • Version 2.x is the current generally available version of the S3 CLI for use in production environments.
    • Version 1.x is the previous version of the AWS CLI available for backward compatibility.

    Full information about the set of commands and additional CLI settings is available on the developer's website .

    CLI installation

    To install S3 CLI v2 in the operating system, you must install the appropriate package:



    Ability to extract or "unzip" a downloaded package. If the operating system does not have a built-in unzip command, use the equivalent.

    AWS CLI version 2 uses glibc, groff, and less. They are included by default in most major Linux distributions.

    For Linux x86 (64-bit):
     curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
    unzip awscliv2.zip
    sudo ./aws/install

    For Linux ARM

     curl "https://awscli.amazonaws.com/awscli-exe-linux-aarch64.zip" -o "awscliv2.zip"
    unzip awscliv2.zip
    sudo ./aws/install
    Check the correctness of the installation:
     aws --version


    Installation for MacOS is done using the standard MacOS user interface and browser:

    1. Load the macOS pkg file in your browser.
    2. Double-click the downloaded file to launch the installer.
    3. Follow the instructions on the screen.
    You can check the correctness of the installation in the terminal:
     aws --version


    Before installing AWS CLI v2 on Windows, you must ensure that you have the following:

    • Windows XP 64-bit or newer.
    • Administrator rights to install software
    For installation:

    Download the MSI AWS CLI Installer for Windows (64-bit).

    Run the downloaded MSI installer and follow the instructions on the screen. By default, the AWS CLI is installed to C: \ Program Files \ Amazon \ AWSCLIV2.

    You can use the Windows Standard Command Line Interface (cmd) to confirm the installation:

     aws --version

    Accessing the CLI

    Access keys consist of an access key identifier and a secret access key, which are used to sign software requests sent to MCS. If access keys are missing, they can be created in the MCS Control Panel.

    The only time the private access key can be viewed or downloaded is when the keys are generated. It will be impossible to restore them later. However, you can create new access keys at any time.

    In the MCS panel, in the "Accounts" menu of the "Object Storage" service, you need to add an account, and save the received keys for future use:

    CLI setup

    The fastest way to customize your AWS CLI installation is with the command:

     aws configure

    When you enter this command, the AWS CLI prompts for four pieces of information:

    • Access key identifier - the received key identifier data is used when adding an account.
    • Secret access key - the received secret key data is used when adding an account.
    • AWS region - the region where the S3 service is located, by default it is ru-msk.
    • Output Format - Determines how to format the output of the command being used. If no output format is specified, it will use json by default. Available options are json, yaml, text, and table.

    The AWS CLI stores this information in a profile (set of settings) called default in the credentials file. By default, the information in this profile is used when you run an AWS CLI command that does not explicitly specify the profile to use.


    When using the AWS CLI to work with Object Storage, there are a few things to keep in mind:

    • The AWS CLI treats MCS S3 as a hierarchical file system and object keys are in the form of a file path.
    • When running the aws command to work with MCS S3, the --endpoint-url parameter is required because the client is configured by default to work with Amazon servers.
    • Bucket creation should be done using the appropriate --endpoint-url - http://hb.bizmrg.com for the Hotbox bucket and http://ib.bizmrg.com for the Icebox bucket.
    • Any operations cannot be performed using the CLI with the Backup bucket class.
    • When using the storage classes --storage-class, the STANDARD values for Hotbox and STANDARD_IA for Icebox apply.
    • When working in MacOS, in some cases it is required to run the following view:
     export PYTHONPATH = / Library / Python / 2.7 / site-packages; aws s3 <command> --endpoint-url = http: //hb.bizmrg.com

    Examples of using

    Create a hotbox bucket:

     aws s3 mb s3: // <bucket_name> --endpoint-url http://hb.bizmrg.com

    Creating an icebox bucket:

     aws s3 mb s3: // <packet_name> --endpoint-url http://ib.bizmrg.com

    Changing the bucket storage class:

     aws s3api create-bucket --bucket <bucket_name> --endpoint-url <destination storage class URL> --cli-input-json "{\" Bucket \ ": {\" storage-class \ ": \" <destination_class_value > \ "}}"

    File upload

     aws s3 cp <path_to_local_file> s3: // <packet_name> --endpoint-url http://hb.bizmrg.com

    Downloading an object

     aws s3 cp s3: // <batch_name> / <key_name> <path_to_local_file> --endpoint-url http://hb.bizmrg.com

    Synchronizing a local directory with a bucket

     aws s3 sync <local_directory> s3: // <package_name> --endpoint-url http://hb.bizmrg.com

    Moving an object

     aws s3 mv s3: // <batch_name> / <source_key_name> s3: // <bucket_name> / <destination_key_name> --endpoint-url http://hb.bizmrg.com

    Getting a list of objects

     aws s3 ls s3: // <bucket_name> --endpoint-url http://hb.bizmrg.com

    Deleting an Object

     aws s3 rm s3: // <bucket_name> / <key_name> --endpoint-url http://hb.bizmrg.com

    Removing a multi-component object

     aws s3api abort-multipart-upload --bucket <bucket_name> --endpoint-url http://hb.bizmrg.com --key large_test_file --upload-id <multipart_upload_object_ID>

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