Cette page s'adresse uniquement aux clients existants du service S3 Glacier utilisant Vaults et l'API REST d'origine datant de 2012.
Si vous recherchez des solutions de stockage d'archives, nous vous conseillons d'utiliser les classes de stockage S3 Glacier dans Amazon S3, S3 Glacier Instant Retrieval, S3 Glacier Flexible Retrieval et S3 Glacier Deep Archive. Pour en savoir plus sur ces options de stockage, consultez les sections Classes de stockage S3 Glacier et Stockage de données à long terme à l'aide des classes de stockage S3 Glacier dans le guide de l'utilisateur Amazon S3. Ces classes de stockage utilisent l'API Amazon S3, sont disponibles dans toutes les régions et peuvent être gérées au sein de la console Amazon S3. Ils offrent des fonctionnalités telles que l'analyse des coûts de stockage, Storage Lens, des fonctionnalités de sécurité, notamment de multiples options de cryptage, etc.
Les traductions sont fournies par des outils de traduction automatique. En cas de conflit entre le contenu d'une traduction et celui de la version originale en anglais, la version anglaise prévaudra.
Obtenez le contenu de l'archive Amazon S3 Glacier et supprimez l'archive à l'aide d'un AWS SDK
L’exemple de code suivant illustre comment :
- Python
-
- SDK pour Python (Boto3)
-
Créez une classe qui encapsule les opérations S3 Glacier.
import argparse
import logging
import os
import boto3
from botocore.exceptions import ClientError
logger = logging.getLogger(__name__)
class GlacierWrapper:
"""Encapsulates Amazon S3 Glacier API operations."""
def __init__(self, glacier_resource):
"""
:param glacier_resource: A Boto3 Amazon S3 Glacier resource.
"""
self.glacier_resource = glacier_resource
@staticmethod
def list_jobs(vault, job_type):
"""
Lists jobs by type for the specified vault.
:param vault: The vault to query.
:param job_type: The type of job to list.
:return: The list of jobs of the requested type.
"""
job_list = []
try:
if job_type == "all":
jobs = vault.jobs.all()
elif job_type == "in_progress":
jobs = vault.jobs_in_progress.all()
elif job_type == "completed":
jobs = vault.completed_jobs.all()
elif job_type == "succeeded":
jobs = vault.succeeded_jobs.all()
elif job_type == "failed":
jobs = vault.failed_jobs.all()
else:
jobs = []
logger.warning("%s isn't a type of job I can get.", job_type)
for job in jobs:
job_list.append(job)
logger.info("Got %s %s job %s.", job_type, job.action, job.id)
except ClientError:
logger.exception("Couldn't get %s jobs from %s.", job_type, vault.name)
raise
else:
return job_list
@staticmethod
def get_job_output(job):
"""
Gets the output of a job, such as a vault inventory or the contents of an
archive.
:param job: The job to get output from.
:return: The job output, in bytes.
"""
try:
response = job.get_output()
out_bytes = response["body"].read()
logger.info("Read %s bytes from job %s.", len(out_bytes), job.id)
if "archiveDescription" in response:
logger.info(
"These bytes are described as '%s'", response["archiveDescription"]
)
except ClientError:
logger.exception("Couldn't get output for job %s.", job.id)
raise
else:
return out_bytes
@staticmethod
def delete_archive(archive):
"""
Deletes an archive from a vault.
:param archive: The archive to delete.
"""
try:
archive.delete()
logger.info(
"Deleted archive %s from vault %s.", archive.id, archive.vault_name
)
except ClientError:
logger.exception("Couldn't delete archive %s.", archive.id)
raise
@staticmethod
def delete_vault(vault):
"""
Deletes a vault.
:param vault: The vault to delete.
"""
try:
vault.delete()
logger.info("Deleted vault %s.", vault.name)
except ClientError:
logger.exception("Couldn't delete vault %s.", vault.name)
raise
Appelez des fonctions sur la classe encapsuleur pour obtenir le contenu de l'archive d'une tâche terminée, puis supprimez l'archive.
def retrieve_demo(glacier, vault_name):
"""
Shows how to:
* List jobs for a vault and get job status.
* Get the output of a completed archive retrieval job.
* Delete an archive.
* Delete a vault.
:param glacier: A Boto3 Amazon S3 Glacier resource.
:param vault_name: The name of the vault to query for jobs.
"""
vault = glacier.glacier_resource.Vault("-", vault_name)
try:
vault.load()
except ClientError as err:
if err.response["Error"]["Code"] == "ResourceNotFoundException":
print(
f"\nVault {vault_name} doesn't exist. You must first run this script "
f"with the --upload flag to create the vault."
)
return
else:
raise
print(f"\nGetting completed jobs for {vault.name}.")
jobs = glacier.list_jobs(vault, "completed")
if not jobs:
print("\nNo completed jobs found. Give it some time and try again later.")
return
retrieval_job = None
for job in jobs:
if job.action == "ArchiveRetrieval" and job.status_code == "Succeeded":
retrieval_job = job
break
if retrieval_job is None:
print(
"\nNo ArchiveRetrieval jobs found. Give it some time and try again "
"later."
)
return
print(f"\nGetting output from job {retrieval_job.id}.")
archive_bytes = glacier.get_job_output(retrieval_job)
archive_str = archive_bytes.decode("utf-8")
print("\nGot archive data. Printing the first 10 lines.")
print(os.linesep.join(archive_str.split(os.linesep)[:10]))
print(f"\nDeleting the archive from {vault.name}.")
archive = glacier.glacier_resource.Archive(
"-", vault.name, retrieval_job.archive_id
)
glacier.delete_archive(archive)
print(f"\nDeleting {vault.name}.")
glacier.delete_vault(vault)
Pour obtenir la liste complète des guides de développement du AWS SDK et des exemples de code, consultezUtilisation de S3 Glacier avec un AWS SDK. Cette rubrique comprend également des informations sur le démarrage et sur les versions précédentes de SDK.
