sea-query VS datafusion

The main limitation of prepared statement is that you can only insert values, so you cannot dynamically construct the query depending on the parameters. For that, you can use a query builder such as sea-query, which should handle that.

I would say https://www.sea-ql.org is your best bet. It’s highly configurable and they also have tools for no bs orm and graphql! Very new, but there is 1.0 release and tonnes of documentation and cook books.

[#508] Representing a identifier with &'static str. The IdenStatic trait looks like this:

🎉 We are pleased to release SeaQuery 0.27.0! Here are some feature highlights 🌟:

SeaORM or SeaQuery are also very good instead of diesel/sqlx

SeaQL.org was founded back in 2020. We devoted ourselves into developing open source libraries that help Rust developers to build data intensive applications. In the past two years, we published and maintained four open source libraries: SeaQuery, SeaSchema, SeaORM and StarfishQL. Each library is designed to fill a niche in the Rust ecosystem, and they are made to play well with other Rust libraries.

Upgrade sea-query to 0.26

As the new member of the SeaQL family, it's a stellar example of what could be done with Rust and the SeaORM / SeaQuery / SeaSchema suite of tools. We couldn't be more excited to see applications being built on Rust and the SeaQL ecosystem!

Python's Substrait seems like the biggest/most-used competitor-ish out there. I'd love some compare & contrast; my sense is that Substrait has a smaller ambition, and more wants to be a language for talking about execution rather than a full on execution engine. https://github.com/substrait-io/substrait

We can also see from the DataFusion discussion that they too see themselves as a bit of a Velox competitor. https://github.com/apache/arrow-datafusion/discussions/6441

Agree, substrait is a really cool project! Related: if you like substrait you might want to check out datafusion too. The project is a query execution engine built on top of Apache Arrow (with SQL parser, query planner & optimizer, execution engine, extensible user defined functions, among others) and it implements a substrait provider and consumer: https://github.com/apache/arrow-datafusion/tree/main/datafus...

The draft contains some preliminary benchmark results, comparing it to DuckDB.

https://github.com/apache/arrow-datafusion/issues/6782

Apache Arrow is a pretty common memory structure these days. Datafusion is an open query engine built in Rust started by Andy Grove.

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 comparable to DuckDB in performance, has all the standard built in SQL functionality, and is extensible in pretty much all areas (query language, data formats, catalogs, user defined functions, etc)

https://arrow.apache.org/datafusion/

Disclaimer I am a maintainer of DataFusion

https://github.com/jorgecarleitao/arrow2 https://github.com/apache/arrow-datafusion https://github.com/apache/arrow-ballista https://github.com/pola-rs/polars https://github.com/duckdb/duckdb

Problem comes when you want to do this inside an async context since we couldn't block an async task. https://users.rust-lang.org/t/sync-function-invoking-async/43364/6 You might need to do it in another runtime/thread. It is not recommended to do this, but sometimes it is unavoidable while implementing a third-party trait. https://github.com/apache/arrow-datafusion/issues/3777 However, I believe this isn't a problem particular to tokio, or any specific runtime.