Airflow 2.8.0 blog post

landing-pages/site/content/en/blog/airflow-2.8.0/index.md

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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"
+---
+
+
+**Details**:
+
+📦 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
+
+## Airflow Object Storage (AIP-58)
+
+*This feature is experimental and subject to change.*
+
+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.
+
+In addition, it allows you to use most of the standard Python modules, like shutil, that can work with file-like objects.
+
+Here is an example of how to use the new feature to open a file:
+
+```python
+from airflow.io.path import ObjectStoragePath
+
+base = ObjectStoragePath("s3://my-bucket/", conn_id="aws_default")  # conn_id is optional
+
+@task
+def read_file(path: ObjectStoragePath) -> str:
+    with path.open() as f:
+        return f.read()
+```
+
+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.
+
+Here is an example of how to configure a custom backend for the `dbfs` scheme:
+
+```python
+from airflow.io.path import ObjectStoragePath
+from airflow.io.store import attach
+
+from fsspec.implementations.dbfs import DBFSFileSystem
+
+attach(protocol="dbfs", fs=DBFSFileSystem(instance="myinstance", token="mytoken"))
+base = ObjectStoragePath("dbfs://my-location/")
+```
+
+For more information: [Airflow Object Storage](https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/objectstorage.html)
+
+The support for a specific object storage system depends on the installed providers,
+with out-of-the-box support for the file scheme.
+
+## 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.
+
+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.
+
+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)
+
+## Listener hooks for Datasets
+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.
+
+## 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.
+
+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
+
+For more information: [PythonVirtualenvOperator](https://airflow.apache.org/docs/apache-airflow/stable/howto/operator/python.html#pythonvirtualenvoperator)
+
+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).
+
+# Contributors