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How to open .ARROW files on iOS

To open .ARROW files on iOS, there is no common native iOS app for Arrow IPC files; transfer the .arrow file to a desktop and open it with PyArrow (Python) or the Arrow R package.

Step-by-step instructions

  1. There is no common native iOS app for Arrow IPC files; transfer the .arrow file to a desktop and open it with PyArrow (Python) or the Arrow R package.

Common issues

Tried the streaming reader, but the file won’t open

Arrow has both an IPC file format and an IPC streaming format. If you use a streaming reader on an IPC file (or the other way around), you may get errors or truncated reads.

  1. In your tool/library, choose the IPC “file” reader for .arrow files (not the “stream” reader).
  2. If you’re unsure how it was produced, try both the file and stream readers provided by your Arrow library.

The file looks like “garbage” in a text editor

.arrow files are binary IPC data, not text; opening them in Notepad/TextEdit will not show meaningful content.

  1. Open the file with an Arrow-capable tool (e.g., PyArrow or the Arrow R package) rather than a text editor.
  2. Convert the loaded table to a human-readable format (for example, print a head/preview in your analysis environment).

“Not an Arrow file” / magic string or footer errors

The Arrow IPC file format includes a specific file signature and footer. If the download/copy is incomplete or the file is actually a different format renamed to .arrow, readers may report signature/footer problems.

  1. Re-download or re-copy the file to ensure it isn’t truncated.
  2. Confirm the producer actually wrote the Arrow IPC file format (and not the IPC streaming format or another container).

Schema/type mismatch when reading across languages

Arrow is cross-language, but data producers and consumers may disagree on schema details (field names, nullability, nested types), especially when a pipeline evolves.

  1. Inspect the schema in your Arrow tool/library before processing the data.
  2. Regenerate the .arrow file with an updated schema or add a compatibility step (e.g., cast/rename columns) after reading.

Security note

.arrow is a binary data format and typically does not carry executable code, but parsing untrusted binary data can still expose bugs in readers; prefer up-to-date Arrow libraries when opening files from unknown sources.

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