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Rugo Parquet Inspector

Rugo Parquet Inspector

Opteryx

|
4 installs
| (0) | Free
Inspect Parquet files down to row-group and column-chunk level (encoding, compression, stats, bloom filters), powered by Rugo. Also previews CSV/JSONL.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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More Info

Rugo Parquet Inspector

A VS Code extension for inspecting Parquet files below the "just show me a data grid" level — schema, row-group and column-chunk layout, encoding, compression, statistics, dictionary/bloom-filter presence, and common anti-patterns (uncompacted row groups, missing dictionary/bloom coverage, encodings that vary across row groups).

Parquet reading is powered by Rugo, opteryx-core's Parquet/file engine. The core is not reimplemented here: it's a pinned, vendored copy of Rugo's Python-free C++ metadata reader (rugo/src/parquet), compiled to WASM with no Cython/nanobind/libpython involved. See native/README.md.

Status

Real metadata reads (schema, row groups, column-chunk stats, bloom-filter presence) working end to end against real files.

Development

npm install
npm run build:native   # requires emcc (brew install emscripten)
npm run watch           # esbuild watch mode

Then launch the "Run Extension" debug target in VS Code (F5).

License

Apache-2.0. Includes vendored Apache-2.0 code from opteryx-core/Rugo — see native/README.md for provenance.

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