The Auron accelerator for distributed computing framework (e.g., Spark) leverages native vectorized execution to accelerate query processing

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2 Open Issues Need Help Last updated: Dec 21, 2025

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AI Summary: This GitHub issue proposes introducing `#![deny(clippy::unwrap_used)]` across the codebase (excluding tests) to prevent the use of `Result::unwrap()`. The motivation stems from a Cloudflare outage caused by an `unwrap()` call, aiming to enforce safer error handling. Developers would be expected to use `.expect("...")` as an alternative.

Complexity: 4/5
enhancement good first issue stale

The Auron accelerator for distributed computing framework (e.g., Spark) leverages native vectorized execution to accelerate query processing

Rust
#arrow#big-data#datafusion#rust-lang#spark
good first issue feature required

The Auron accelerator for distributed computing framework (e.g., Spark) leverages native vectorized execution to accelerate query processing

Rust
#arrow#big-data#datafusion#rust-lang#spark