Viewing profile — alamb

This demo extends a Parquet file by embedding a Tantivy full-text search index inside it. A custom DataFusion TableProvider implementation uses the embedded full-text index to opti…

> Note that the readers of Parquet need to be aware of any metadata to exploit it. But if not, nothing changes The one downside of this approach, which is likely obvious, but I hav…

> That is, start with Wild West and define specs as needed Yes this is my personal hope as well -- if there are new index types that are widespread, they can be incorporated formal…

We are actively working on supporting extension types. The mechanism is likely to be using the Arrow extension type mechanism (a logical annotation on top of existing Arrow types h…

See also related blog: https://datafusion.apache.org/blog/2025/04/10/fastest-tpch-g...

Specifically, DataFusion is faster when querying parquet directly. Most of the leaderboard of ClickBench is for database specific file formats (that you first have to load the data…

I think you would pick DataFusion over DuckDB if you want to customize it substantially. Not just with user defined functions (which are quite easy to write in DataFusion and are v…

BTW here is a fun exercise that takes this idea to the extreme. Who can build a custom file format that gets the best ClickHouse performance (on DataFusion): https://github.com/apa…

In general, if you can partition your datasets on your predicate column, sorting is likely the best option For example when you have a predicate like, `where id = 'fdhah-4311-ddsdd…

It would be amazing if the code for working with arrow on GPUs could be made open source -- I think that would drive a significant amount of adoption

So great to see another project built on DataFusion @!

The Apache Arrow PMC is pleased to announce the donation of the Comet project, a native Spark SQL Accelerator built on Apache Arrow DataFusion.

CMU's database courses are online and excellent: https://15445.courses.cs.cmu.edu/spring2024/ https://15721.courses.cs.cmu.edu/spring2023/

BTW you can see a version of what an industrial strength query optimizer / execution engine looks like in Rust https://arrow.apache.org/datafusion/ (can also use it in your own pro…

The following paper describes some of the tradeoffs between different formats Deep Dive into Common Open Formats for Analytical DBMSs https://www.vldb.org/pvldb/vol16/p3044-liu.pdf…

I do think it was important for duckdb to put out a new version of the results as the earlier version of that benchmark [1] went dormant with a very old version of duckdb with very…

DuckDB is a great piece of software if you are If you are looking for a query engine implemented in a safe language (Rust) I definitely suggest checking out DataFusion. It is compa…

Here is another blog post that offers some perspective on the growth of Arrow over the intervening years and future directions: https://www.datawill.io/posts/apache-arrow-2022-refl…

For completeness, FlightSQL[1] (as mentioned elsewhere in this thread) aims to provide such an HTTP based protocol https://arrow.apache.org/blog/2019/10/13/introducing-arrow-f...

Ah -- got it! This is the beauty of aligning ourselves with technologies like Arrow, Parquet and DataFusion. We can share as well as benefit from the efforts of the broader communi…

Author here -- it is "free" in the sense that all the effort we put into DataFusion flows directly into IOx. But we do put a lot of effort into DataFusion