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Example Airflow DAG that trigger a task in Azure Batch.

This DAG relies on the following OS environment variables

* POOL_ID - The Pool ID in Batch accounts.

from __future__ import annotations

import os
from datetime import datetime

from airflow import DAG
from import AzureBatchOperator

[docs]POOL_ID = os.environ.get("POOL_ID", "example-pool")
with DAG( dag_id="example_azure_batch", start_date=datetime(2021, 1, 1), catchup=False, doc_md=__doc__, tags=["example"], ) as dag: # [START howto_azure_batch_operator]
[docs] azure_batch_operator = AzureBatchOperator( task_id="azure_batch", batch_pool_id=POOL_ID, batch_pool_vm_size="standard_d2s_v3", batch_job_id="example-job", batch_task_command_line="/bin/bash -c 'set -e; set -o pipefail; echo hello world!; wait'", batch_task_id="example-task", vm_node_agent_sku_id="batch.node.ubuntu 22.04", vm_publisher="Canonical", vm_offer="0001-com-ubuntu-server-jammy", vm_sku="22_04-lts-gen2", target_dedicated_nodes=1, )
# [END howto_azure_batch_operator] from tests.system.utils import get_test_run # noqa: E402 # Needed to run the example DAG with pytest (see: tests/system/
[docs]test_run = get_test_run(dag)

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