NAME

barman-cloud-backup-delete - Delete backups stored in the Cloud

SYNOPSIS

barman-cloud-backup-delete [ OPTIONS] SOURCE_URL SERVER_NAME

DESCRIPTION

This script can be used to delete backups previously made with the barman-cloud-backup command. Currently AWS S3, Azure Blob Storage and Google Cloud Storage are supported.
The target backups can be specified either using the backup ID (as returned by barman-cloud-backup-list) or by retention policy. Retention policies are the same as those for Barman server and work as described in the Barman manual: all backups not required to meet the specified policy will be deleted.
When a backup is successfully deleted any unused WALs associated with that backup are removed. WALs are only considered unused if:
1.
There are no older backups than the deleted backup or all older backups are archival backups.
2.
The WALs pre-date the begin_wal value of the oldest remaining backup.
3.
The WALs are not required by any archival backups present in cloud storage.
Note: The deletion of each backup involves three separate delete requests to the cloud provider (once for the backup files, once for the backup.info file and once for any associated WALs). If you have a significant number of backups accumulated in cloud storage then deleting by retention policy could result in a large number of delete requests.
This script and Barman are administration tools for disaster recovery of PostgreSQL servers written in Python and maintained by EnterpriseDB.

Usage

usage: barman-cloud-backup-delete [-V] [--help] [-v | -q] [-t]
                                  [--cloud-provider {aws-s3,azure-blob-storage,google-cloud-storage}]
                                  [--endpoint-url ENDPOINT_URL] [-P PROFILE]
                                  [--read-timeout READ_TIMEOUT]
                                  [--credential {azure-cli,managed-identity}]
                                  (-b BACKUP_ID | -r RETENTION_POLICY)
                                  [--dry-run] [--batch-size DELETE_BATCH_SIZE]
                                  source_url server_name
This script can be used to delete backups made with barman-cloud-backup command. Currently AWS S3, Azure Blob Storage and Google Cloud Storage are supported.
positional arguments:   source_url            URL of the cloud source, such as a bucket in AWS S3.                         For example: `s3://bucket/path/to/folder`.   server_name           the name of the server as configured in Barman.
optional arguments:   -V, --version         show program's version number and exit   --help                show this help message and exit   -v, --verbose         increase output verbosity (e.g., -vv is more than -v)   -q, --quiet           decrease output verbosity (e.g., -qq is less than -q)   -t, --test            Test cloud connectivity and exit   --cloud-provider {aws-s3,azure-blob-storage,google-cloud-storage}                         The cloud provider to use as a storage backend   -b BACKUP_ID, --backup-id BACKUP_ID                         Backup ID of the backup to be deleted   -r RETENTION_POLICY, --retention-policy RETENTION_POLICY                         If specified, delete all backups eligible for deletion                         according to the supplied retention policy. Syntax:                         REDUNDANCY value | RECOVERY WINDOW OF value {DAYS |                         WEEKS | MONTHS}   --dry-run             Find the objects which need to be deleted but do not                         delete them   --batch-size DELETE_BATCH_SIZE                         The maximum number of objects to be deleted in a                         single request to the cloud provider. If unset then                         the maximum allowed batch size for the specified cloud                         provider will be used (1000 for aws-s3, 256 for azure-                         blob-storage and 100 for google-cloud-storage).
Extra options for the aws-s3 cloud provider:   --endpoint-url ENDPOINT_URL                         Override default S3 endpoint URL with the given one   -P PROFILE, --profile PROFILE                         profile name (e.g. INI section in AWS credentials                         file)   --read-timeout READ_TIMEOUT                         the time in seconds until a timeout is raised when                         waiting to read from a connection (defaults to 60                         seconds)
Extra options for the azure-blob-storage cloud provider:   --credential {azure-cli,managed-identity}                         Optionally specify the type of credential to use when                         authenticating with Azure Blob Storage. If omitted                         then the credential will be obtained from the                         environment. If no credentials can be found in the                         environment then the default Azure authentication flow                         will be used

REFERENCES

For Boto:
https://boto3.amazonaws.com/v1/documentation/api/latest/guide/configuration.html
For AWS:
https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-getting-set-up.html
https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-getting-started.html.
For Azure Blob Storage:
https://docs.microsoft.com/en-us/azure/storage/blobs/authorize-data-operations-cli#set-environment-variables-for-authorization-parameters
https://docs.microsoft.com/en-us/python/api/azure-storage-blob/?view=azure-python
For Google Cloud Storage: * Credentials: https://cloud.google.com/docs/authentication/getting-started#setting_the_environment_variable
Only authentication with GOOGLE_APPLICATION_CREDENTIALS env is supported at the moment.

DEPENDENCIES

If using --cloud-provider=aws-s3:
boto3
If using --cloud-provider=azure-blob-storage:
azure-storage-blob
azure-identity (optional, if you wish to use DefaultAzureCredential)
If using --cloud-provider=google-cloud-storage * google-cloud-storage

EXIT STATUS

0
Success
1
The delete operation was not successful
2
The connection to the cloud provider failed
3
There was an error in the command input
Other non-zero codes
Failure

BUGS

Barman has been extensively tested, and is currently being used in several production environments. However, we cannot exclude the presence of bugs.
Any bug can be reported via the GitHub issue tracker.

RESOURCES

Homepage: <https://www.pgbarman.org/>
Documentation: <https://docs.pgbarman.org/>
Professional support: <https://www.enterprisedb.com/>

COPYING

Barman is the property of EnterpriseDB UK Limited and its code is distributed under GNU General Public License v3.
© Copyright EnterpriseDB UK Limited 2011-2023

AUTHORS

EnterpriseDB <https://www.enterprisedb.com>.

Questions & Answers

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