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Copy file name to clipboardExpand all lines: docs/source/user_guide/jobs/infra_and_runtime.rst
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@@ -152,6 +152,61 @@ see also `ADS Logging <../logging/logging.html>`_.
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With logging configured, you can call :py:meth:`~ads.jobs.DataScienceJobRun.watch` method to stream the logs.
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Mounting File Systems
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---------------------
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Data Science Job supports mounting multiple types of file systems,
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see `Data Science Job Mounting File Systems <https://docs.oracle.com/en-us/iaas/data-science/using/jobs-create.htm>`_. A maximum number of 5 file systems are
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allowed to be mounted for each Data Science Job. You can specify a list of file systems to be mounted
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by calling :py:meth:`~ads.jobs.DataScienceJob.with_storage_mount()`. For each file system to be mounted,
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you need to pass a dictionary with ``src`` and ``dest`` as keys. For example, you can pass
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``<mount_target_ip_address>@<export_path>`` as the value for ``src`` to mount OCI File Storage and you can also
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pass ``oci://<bucket_name>@<namespace>/<prefix>`` to mount OCI Object Storage. The value of
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``dest`` indicates the path and directory to which you want to mount the file system and must be in the
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format as ``<destination_path>/<destination_directory_name>``. The ``<destination_directory_name>`` is required
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while the ``<destination_path>`` is optional. The ``<destination_path>`` must start with character ``/`` if provided.
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If not, the file systems will be mounted to ``/mnt/<destination_directory_name>`` by default.
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