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| title: "Apache Airflow 2.8.0 is here" | ||
| linkTitle: "Apache Airflow 2.8.0 is here" | ||
| author: "Ephraim Anierobi" | ||
| github: "ephraimbuddy" | ||
| linkedin: "ephraimanierobi" | ||
| description: "Introducing Apache Airflow 2.8.0: Enhanced with New Features and Significant Improvements" | ||
| tags: [Release] | ||
| date: "2023-12-14" | ||
| --- | ||
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| **Details**: | ||
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| 📦 PyPI: https://pypi.org/project/apache-airflow/2.8.0/ \ | ||
| 📚 Docs: https://airflow.apache.org/docs/apache-airflow/2.8.0/ \ | ||
| 🛠 Release Notes: https://airflow.apache.org/docs/apache-airflow/2.8.0/release_notes.html \ | ||
| 🐳 Docker Image: "docker pull apache/airflow:2.8.0" \ | ||
| 🚏 Constraints: https://github.com/apache/airflow/tree/constraints-2.8.0 | ||
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| ## Airflow Object Storage (AIP-58) | ||
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| *This feature is experimental and subject to change.* | ||
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| Airflow now offers a generic abstraction layer over various object stores like S3, GCS, and Azure Blob Storage, enabling the use of different storage systems in DAGs without code modification. | ||
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| In addition, it allows you to use most of the standard Python modules, like shutil, that can work with file-like objects. | ||
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| Here is an example of how to use the new feature to open a file: | ||
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| ```python | ||
| from airflow.io.path import ObjectStoragePath | ||
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| base = ObjectStoragePath("s3://my-bucket/", conn_id="aws_default") # conn_id is optional | ||
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| @task | ||
| def read_file(path: ObjectStoragePath) -> str: | ||
| with path.open() as f: | ||
| return f.read() | ||
| ``` | ||
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| The above example is just the tip of the iceberg. The new feature allows you to configure an alternative backend for a scheme or protocol. | ||
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| Here is an example of how to configure a custom backend for the `dbfs` scheme: | ||
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| ```python | ||
| from airflow.io.path import ObjectStoragePath | ||
| from airflow.io.store import attach | ||
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| from fsspec.implementations.dbfs import DBFSFileSystem | ||
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| attach(protocol="dbfs", fs=DBFSFileSystem(instance="myinstance", token="mytoken")) | ||
| base = ObjectStoragePath("dbfs://my-location/") | ||
| ``` | ||
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| For more information: [Airflow Object Storage](https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/objectstorage.html) | ||
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| The support for a specific object storage system depends on the installed providers, | ||
| with out-of-the-box support for the file scheme. | ||
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| ## Ship logs from other components to Task logs | ||
| This feature seamlessly integrates task-related messages from various Airflow components, including the Scheduler and | ||
| Executors, into the task logs. This integration allows users to easily track error messages and other relevant | ||
| information within a single log view. | ||
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| Presently, suppose a task is terminated by the scheduler before initiation, times out due to prolonged queuing, or transitions into a zombie state. In that case, it is not recorded in the task log. With this enhancement, in such situations, | ||
| it becomes feasible to dispatch an error message to the task log for convenient visibility on the UI. | ||
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| This feature can be toggled, for more information [Look for “enable_task_context_logger” in the logging configuration documentation](https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#logging) | ||
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| ## Listener hooks for Datasets | ||
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ephraimbuddy marked this conversation as resolved.
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| This feature enables users to subscribe to Dataset creation and update events using listener hooks. | ||
| It’s particularly useful to trigger external processes based on a Dataset being created or updated. | ||
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ephraimbuddy marked this conversation as resolved.
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| ## Using Extra Index URLs with PythonVirtualEnvOperator and Caching | ||
| This feature allows you to specify extra index URLs to PythonVirtualEnvOperator (+corresponding decorator) to be able to install virtualenvs with (private) additional Python package repositories. | ||
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| You can also reuse the virtualenvs by caching them in a specified directory and reusing them in subsequent runs. This | ||
| can be achieved by setting the ``venv_cache_path`` to a file system folder on your worker | ||
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| For more information: [PythonVirtualenvOperator](https://airflow.apache.org/docs/apache-airflow/stable/howto/operator/python.html#pythonvirtualenvoperator) | ||
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| Additional new features and improvements can be found in the [Airflow 2.8.0 release notes](https://airflow.apache.org/docs/apache-airflow/2.8.0/release_notes.html#airflow-2-8-0-2023-12-14). | ||
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| # Contributors | ||
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