Source code for airflow.providers.amazon.aws.example_dags.example_glacier_to_gcs
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import os
from airflow import models
from airflow.providers.amazon.aws.operators.glacier import GlacierCreateJobOperator
from airflow.providers.amazon.aws.sensors.glacier import GlacierJobOperationSensor
from airflow.providers.amazon.aws.transfers.glacier_to_gcs import GlacierToGCSOperator
from airflow.utils.dates import days_ago
VAULT_NAME = "airflow"
BUCKET_NAME = os.environ.get("GLACIER_GCS_BUCKET_NAME", "gs://INVALID BUCKET NAME")
OBJECT_NAME = os.environ.get("GLACIER_OBJECT", "example-text.txt")
with models.DAG(
"example_glacier_to_gcs",
schedule_interval=None,
start_date=days_ago(1), # Override to match your needs
) as dag:
# [START howto_glacier_create_job_operator]
create_glacier_job = GlacierCreateJobOperator(
task_id="create_glacier_job",
aws_conn_id="aws_default",
vault_name=VAULT_NAME,
)
JOB_ID = '{{ task_instance.xcom_pull("create_glacier_job")["jobId"] }}'
# [END howto_glacier_create_job_operator]
# [START howto_glacier_job_operation_sensor]
wait_for_operation_complete = GlacierJobOperationSensor(
aws_conn_id="aws_default",
vault_name=VAULT_NAME,
job_id=JOB_ID,
task_id="wait_for_operation_complete",
)
# [END howto_glacier_job_operation_sensor]
# [START howto_glacier_transfer_data_to_gcs]
transfer_archive_to_gcs = GlacierToGCSOperator(
task_id="transfer_archive_to_gcs",
aws_conn_id="aws_default",
gcp_conn_id="google_cloud_default",
vault_name=VAULT_NAME,
bucket_name=BUCKET_NAME,
object_name=OBJECT_NAME,
gzip=False,
# Override to match your needs
# If chunk size is bigger than actual file size
# then whole file will be downloaded
chunk_size=1024,
delegate_to=None,
google_impersonation_chain=None,
)
# [END howto_glacier_transfer_data_to_gcs]
create_glacier_job >> wait_for_operation_complete >> transfer_archive_to_gcs