How to use Parquet File Viewer Online: a practical step-by-step guide
Learn the supported input, the workflow, and how to review results with Parquet File Viewer Online.
When this tool is useful
Apache Parquet is a common columnar format in data engineering, analytics, and machine learning. Inspect it without starting Python, Spark, or a database.
Use it for a quick inspection, extraction, counting, or organization task. For formal delivery or engineering review, keep the original file and verify the result in the professional application used by your team.
Steps
- Choose a .parquet file.
- The browser reads metadata and up to 500 rows.
- Inspect fields and values, then export the preview to CSV if needed.
Review the result
- Confirm that the input or file type is what you expected.
- Compare important headings, text, tables, layers, fields, or counting definitions with the source.
- Check for sensitive content before sharing the output.
- Use the “Open tool” link below when you need to run the workflow again.
Support and limitations
The first version previews up to 500 rows to control memory Special compression support depends on the browser parser
Common questions
What if the result is empty or unexpected?
Check that the input is not encrypted, damaged, or over the size limit shown by the tool. Try a smaller, simpler sample to separate a content issue from a browser issue.
Is my content uploaded?
The tool page describes local browser processing. Use a trusted device and remove downloaded files when working on a shared computer.