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Convenient filesystem interface over Oracle Cloud Infrastructure's Object Storage

Project description

Oracle Cloud Infrastructure Object Storage fsspec implementation


Pandas recently switched their underlying file system mechanism to read data using a project called (fsspec)[].

fsspec implements an abstract file system. Reading a csv from s3 for example is handled by Pandas now because s3://bucket/file is understood by fsspec. Similarly, Google /Microsoft/etc have added URI’s for their own s3-like cloud storage offerings. Currently in fsspec there are the following URI handlers:

  • s3://… -> s3fs.S3FileSystem (requires pip install s3fs)

  • az://… -> adlfs.AzureBlobFileSystem (requires pip install adlfs)

  • dbfs://… -> fsspec.implementations.dbfs.DatabricksFileSystem (requires DataBricks)

  • gcs://… -> gcsfs.GCSFileSystem (requires pip install gcsfs)

  • gdrive://… -> gdrivefs.GoogleDriveFileSystem (requires pip install gdrivefs)

  • Many more listed here:

This project adds:

  • oci://… -> ocifs.OCIFileSystem (through pip install ocifs)

And the end result is that a user anywhere can run the following:

`import pandas as pd` `import ocifs` `df = pd.read_csv("oci://my_bucket@my_namespace/myobject.csv", storage_options={"config": "~/.oci/config"})`

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