barman-cloud-wal-archive - Man Page

barman-cloud-wal-archive [OPTIONS] DESTINATION_URL SERVER_NAME WAL_PATH

This script can be used in the archive_command of a PostgreSQL server to ship WAL files to the Cloud. Currently AWS S3, Azure Blob Storage and Google Cloud Storage are supported.

Note: If you are running python 2 or older unsupported versions of python 3 then avoid the compression options --gzip or --bzip2 as barman-cloud-wal-restore is unable to restore gzip-compressed WALs on python < 3.2 or bzip2-compressed WALs on python < 3.3.

This script and Barman are administration tools for disaster recovery of PostgreSQL servers written in Python and maintained by EnterpriseDB.

usage: barman-cloud-wal-archive [-V] [--help] [-v | -q] [-t]
                                [--cloud-provider {aws-s3,azure-blob-storage,google-cloud-storage}]
                                [--endpoint-url ENDPOINT_URL] [-P AWS_PROFILE]
                                [--profile AWS_PROFILE]
                                [--read-timeout READ_TIMEOUT]
                                [--azure-credential {azure-cli,managed-identity}]
                                [-z | -j | --snappy]
                                [--tags [TAGS [TAGS ...]]]
                                [--history-tags [HISTORY_TAGS [HISTORY_TAGS ...]]]
                                [--kms-key-name KMS_KEY_NAME] [-e ENCRYPTION]
                                [--sse-kms-key-id SSE_KMS_KEY_ID]
                                [--encryption-scope ENCRYPTION_SCOPE]
                                [--max-block-size MAX_BLOCK_SIZE]
                                [--max-concurrency MAX_CONCURRENCY]
                                [--max-single-put-size MAX_SINGLE_PUT_SIZE]
                                destination_url server_name [wal_path]

This script can be used in the `archive_command` of a PostgreSQL server to
ship WAL files to the Cloud. Currently AWS S3, Azure Blob Storage and Google
Cloud Storage are supported.

positional arguments:
  destination_url       URL of the cloud destination, 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.
  wal_path              the value of the '%p' keyword (according to
                        'archive_command').

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
  -z, --gzip            gzip-compress the WAL while uploading to the cloud
                        (should not be used with python < 3.2)
  -j, --bzip2           bzip2-compress the WAL while uploading to the cloud
                        (should not be used with python < 3.3)
  --snappy              snappy-compress the WAL while uploading to the cloud
                        (requires optional python-snappy library)
  --tags [TAGS [TAGS ...]]
                        Tags to be added to archived WAL files in cloud
                        storage
  --history-tags [HISTORY_TAGS [HISTORY_TAGS ...]]
                        Tags to be added to archived history files in cloud
                        storage

Extra options for the aws-s3 cloud provider:
  --endpoint-url ENDPOINT_URL
                        Override default S3 endpoint URL with the given one
  -P AWS_PROFILE, --aws-profile AWS_PROFILE
                        profile name (e.g. INI section in AWS credentials
                        file)
  --profile AWS_PROFILE
                        profile name (deprecated: replaced by --aws-profile)
  --read-timeout READ_TIMEOUT
                        the time in seconds until a timeout is raised when
                        waiting to read from a connection (defaults to 60
                        seconds)
  -e ENCRYPTION, --encryption ENCRYPTION
                        The encryption algorithm used when storing the
                        uploaded data in S3. Allowed values:
                        'AES256'|'aws:kms'.
  --sse-kms-key-id SSE_KMS_KEY_ID
                        The AWS KMS key ID that should be used for encrypting
                        the uploaded data in S3. Can be specified using the
                        key ID on its own or using the full ARN for the key.
                        Only allowed if `-e/--encryption` is set to `aws:kms`.

Extra options for the azure-blob-storage cloud provider:
  --azure-credential {azure-cli,managed-identity}, --credential {azure-cli,managed-identity}
                        Optionally specify the type of credential to use when
                        authenticating with Azure. If omitted then Azure Blob
                        Storage credentials will be obtained from the
                        environment and the default Azure authentication flow
                        will be used for authenticating with all other Azure
                        services. If no credentials can be found in the
                        environment then the default Azure authentication flow
                        will also be used for Azure Blob Storage.
  --encryption-scope ENCRYPTION_SCOPE
                        The name of an encryption scope defined in the Azure
                        Blob Storage service which is to be used to encrypt
                        the data in Azure
  --max-block-size MAX_BLOCK_SIZE
                        The chunk size to be used when uploading an object via
                        the concurrent chunk method (default: 4MB).
  --max-concurrency MAX_CONCURRENCY
                        The maximum number of chunks to be uploaded
                        concurrently (default: 1).
  --max-single-put-size MAX_SINGLE_PUT_SIZE
                        Maximum size for which the Azure client will upload an
                        object in a single request (default: 64MB). If this is
                        set lower than the PostgreSQL WAL segment size after
                        any applied compression then the concurrent chunk
                        upload method for WAL archiving will be used.


Extra options for google-cloud-storage cloud provider:
  --kms-key-name KMS_KEY_NAME
                        The name of the GCP KMS key which should be used for
                        encrypting the uploaded data in GCS.

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.

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

0

Success

1

The WAL archive 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

This script can be used in conjunction with pre_archive_retry_script to relay WAL files to S3, as follows:

pre_archive_retry_script = 'barman-cloud-wal-archive [*OPTIONS*] *DESTINATION_URL* ${BARMAN_SERVER}'

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.

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

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

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