From a445e2bf3cd32e5dffd91a48587d1753e6b94ab0 Mon Sep 17 00:00:00 2001 From: tison Date: Fri, 26 Apr 2024 00:23:02 +0800 Subject: [PATCH 1/2] chore: Create a doap file Signed-off-by: tison --- doap.rdf | 55 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 55 insertions(+) create mode 100644 doap.rdf diff --git a/doap.rdf b/doap.rdf new file mode 100644 index 000000000000..894f47ab856f --- /dev/null +++ b/doap.rdf @@ -0,0 +1,55 @@ +--- +--- + + + + + + 2024-04-17 + + Apache DataFusion + + + Apache DataFusion is a very fast, extensible query engine for building high-quality data-centric systems. + + Apache DataFusion is a very fast, extensible query engine for building high-quality data-centric systems + in Rust, using the Apache Arrow in-memory format. Python Bindings are also available. DataFusion offers SQL + and Dataframe APIs, excellent performance, built-in support for CSV, Parquet, JSON, and Avro, + extensive customization, and a great community. + + + + + Python + Rust + + + + + + + + + + + + From 8efde04a23a55c8879761f5e649d5218700bd5d9 Mon Sep 17 00:00:00 2001 From: tison Date: Fri, 26 Apr 2024 01:56:48 +0800 Subject: [PATCH 2/2] Apply suggestions from code review Co-authored-by: Andrew Lamb --- doap.rdf | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/doap.rdf b/doap.rdf index 894f47ab856f..c8b8cb361ad8 100644 --- a/doap.rdf +++ b/doap.rdf @@ -1,5 +1,3 @@ ---- ---- + 2024-04-17 Apache DataFusion - Apache DataFusion is a very fast, extensible query engine for building high-quality data-centric systems. + Apache DataFusion is a fast, extensible query engine for building high-quality data-centric systems in Rust. - Apache DataFusion is a very fast, extensible query engine for building high-quality data-centric systems + Apache DataFusion is a fast, extensible query engine for building high-quality data-centric systems in Rust, using the Apache Arrow in-memory format. Python Bindings are also available. DataFusion offers SQL and Dataframe APIs, excellent performance, built-in support for CSV, Parquet, JSON, and Avro, extensive customization, and a great community.