barman-cloud-wal-archive - Archive PostgreSQL WAL files in the Cloud using archive_command
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 PROFILE]
[--read-timeout READ_TIMEOUT]
[--credential {azure-cli,managed-identity}]
[-z | -j | --snappy]
[--tags [TAGS [TAGS ...]]]
[--history-tags [HISTORY_TAGS [HISTORY_TAGS ...]]]
[-e ENCRYPTION]
[--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 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)
-e ENCRYPTION, --encryption ENCRYPTION
The encryption algorithm used when storing the
uploaded data in S3. Allowed values:
'AES256'|'aws:kms'.
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
--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.For Boto:
For AWS:
For Azure Blob Storage:
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:
If using --cloud-provider=azure-blob-storage:
If using --cloud-provider=google-cloud-storage * google-cloud-storage
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.
Barman is the property of EnterpriseDB UK Limited and its code is distributed under GNU General Public License v3.
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