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Parquet + Arrow reminds me of a fast SQL engine on data lake called Dremio. https://www.dremio.com/webinars/apache-arrow-calcite-parquet-relational-cache/ http

• pauldix 6y ago
  They're heavily into Arrow. A few years ago they contributed Gandiva, an LLVM expression compiler for super fast processing. https://arrow.apache.org/blog/2018/12/05/gandiva-donation/ https://arrow.apache.org/blog/2018/12/05/gandiva-donation/ It's one of the reasons I like being all in on Arrow. Why do everything ourselves when a ton of other smart people are working on this too?
  • nevi-me 6y ago
    Talking about Gandiva, something that's open for taking: https://issues.apache.org/jira/browse/ARROW-5315 https://issues.apache.org/jira/browse/ARROW-5315 (creating Gandiva bindings for Rust). I think DataFusion is mature enough that we could plug in Gandiva into it. Disclaimer: I work on the Arrow Rust implementation
    • pauldix 6y ago
      Ah yes, of course, hi Nevi :). Thank you again for all your work on the Rust implementation. We're obviously big fans. Gandiva bindings is definitely something we should look into, but I'm guessing there's much lower hanging fruit within DataFusion in terms of optimizing, particularly for our use case.
      • nevi-me 6y ago
        Thanks Paul :) I think with compute functions/kernels, we're sitting under a grapevine, so we'll be able to add a lot to Arrow without yet needing Gandiva bindings. The Rust stdsimd [0] work will also enable us to better use SIMD in ~ a year from now (I hope) [0] https://github.com/rust-lang/stdsimd https://github.com/rust-lang/stdsimd