go-mysql-server
swifties
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go-mysql-server | swifties | |
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22 | 5 | |
1,364 | 11 | |
4.3% | - | |
9.9 | 0.0 | |
about 19 hours ago | over 2 years ago | |
Go | Swift | |
Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
go-mysql-server
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What I Talk About When I Talk About Query Optimizer (Part 1): IR Design
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.
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I created an in-memory SQL database called MemSQL as a learning project
Might be interested in https://github.com/dolthub/go-mysql-server, which also does this
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Implementing the MySQL server protocol for fun and profit
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.
- MySQL-mimic - Python implementation of the MySQL server wire protocol.
- Parsing SQL
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Litetree – SQLite with Branches
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.
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Dolt Is Git for Data
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)
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The world of PostgreSQL wire compatibility
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
- calling Format() on a time struct in a golang program changes the default Location's timezone information in the rest of the program
swifties
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Let's write a compiler, part 5: A code generator
Depends on the complexity of your queries, but if you have a narrow subset that you're interested in, implementing a recursive descent parser for just those parts of the syntax that fits your problem like a glove could be a better solution.
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Let's write a compiler, part 3: A parser
What few seem to realize is that it's perfectly possible to abstract out some of the work and create an extensible foundation for manual parsers.
Since it's all regular code, you can use the full power of the host language to deal with the problem.
https://github.com/codr7/swifties/blob/main/Sources/Swifties...
What are some alternatives?
vitess-sqlparser - simply SQL Parser for Go ( powered by vitess and TiDB )
alasql - AlaSQL.js - JavaScript SQL database for browser and Node.js. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, or Excel.
sqlite-parser - JavaScript implentation of SQLite 3 query parser
grammars-v4 - Grammars written for ANTLR v4; expectation that the grammars are free of actions.
zetasql - ZetaSQL - Analyzer Framework for SQL
JSqlParser - JSqlParser parses an SQL statement and translate it into a hierarchy of Java classes. The generated hierarchy can be navigated using the Visitor Pattern
lakeFS - lakeFS - Data version control for your data lake | Git for data
vitess - Vitess is a database clustering system for horizontal scaling of MySQL.
sqlfuzz - Simple SQL table fuzzing
dolt - Dolt – Git for Data
noms - The versioned, forkable, syncable database