go-mysql-server VS JSqlParser

We implemented a query optimizer with a flexible intermediate representation in pure Go:

https://github.com/dolthub/go-mysql-server

Getting the IR correct so that it's both easy to use and flexible enough to be useful is a really interesting design challenge. Our primary abstraction in the query plan is called a Node, and is way more general than the IR type described in the article from OP. This has probably hurt us: we only recently separated the responsibility to fetch rows into its own part of the runtime, out of the IR -- originally row fetching was coupled to the Node type directly.

This is also the query engine that Dolt uses:

https://github.com/dolthub/dolt

But it has a plug-in architecture, so you can use the engine on any data source that implements a handful of Go interface.

Might be interested in https://github.com/dolthub/go-mysql-server, which also does this

https://github.com/dolthub/go-mysql-server

One item under "Scope of this project":

Provide a runnable server speaking the MySQL wire protocol, connected to data sources of your choice.

I just wanted to say thanks for https://github.com/dolthub/go-mysql-server

This is incredibly useful for anyone who wants to build their own DB or wrap another datasource so it's queryable via MySQL protocol.

a very cool project they also maintain is a MySQL server framework for arbitrary backends (in Go): https://github.com/dolthub/go-mysql-server

You can define a "virtual" table (schema, how to retrieve rows/columns) and then a MySQL client can connect and execute arbitrary queries on your table (which could just be an API or other source)

Thanks for this write up! I've been really interested in postgres compatibility in the context of a tool I maintain (https://github.com/mergestat/mergestat) that uses SQLite. I've been looking for a way to expose the SQLite capabilities over a more commonly used wire-protocol like postgres (or mysql) so that existing BI and visualization tools can access the data.

This project is an interesting one: https://github.com/dolthub/go-mysql-server that provides a MySQL interface (wire and SQL) to arbitrary "backends" implemented in go.

It's really interesting how compatibility with existing protocols has become an important feature of new databases - there's so much existing tooling that already speaks postgres (or mysql), being able to leverage that is a huge advantage IMO

I wonder if this is a topical thread to check if anyone is aware of a Java based solution to parse a CREATE VIEW statement to get a mapping between the view columns and the corresponding source table columns. I checked out jsqlparser[0] and it does produce an AST which can be parsed using the visitor-pattern[1] but was wondering if there is a more "out-of-the-box" solution. Due to various reasons, querying the database information schema is not an option I can pursue.

[0]: https://github.com/JSQLParser/JSqlParser

[1]: https://en.wikipedia.org/wiki/Visitor_pattern

JSQLParser can parse multiple SQL dialects like MySQL, Postgres and Oracle. The grammar can be modified to support other SQL dialects.

Interesting coincidence - I'm working on a parser that parses the AST produced by JSqlParser[0] for a create view statement to generate mapping between the columns of a view and the columns of its underlying table. It is an interesting example of having to use the visitor pattern[1].

[0]: https://github.com/JSQLParser/JSqlParser