缺乏性能基准数据，阻碍 Haskell 在数据工具中的采纳
问题概述
博客宣称使用 Haskell 写 Parquet 文件速度快，但评论者指出其性能声明缺乏可验证的基准测试，并希望将 Haskell 集成到 Apache Arrow 生态中，表明需要可比的性能数据和更广的生态支持。
痛点标签
- 性能宣称缺乏可验证的基准测试数据
- 希望将 Haskell 集成到 Apache Arrow 生态中
待验证问题
- 是否有团队愿意提供 Haskell 与 Pandas/Polars 的基准测试数据？
- 是否希望在 Apache Arrow 中原生支持 Haskell？
- 当前项目在性能方面的目标是什么？
证据
原话 · @Anonymous
Looks like a pretty cool community building great tools with care. Using a functional language for data transforms sounds like a sane idea, haven't played around with it yet but it's definitely on my list now. However they claim using Haskell for data science is "fast", which doesn't really mean anything until you have numbers to show. A little benchmark with pandas and polars wouldn't hurt I guess.
原话 · @Anonymous
I'd personally rather see Haskell become part of the options for https://arrow.apache.org/, but this is still a cool project.
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