go-mysql-server
mergestat-lite
go-mysql-server | mergestat-lite | |
---|---|---|
23 | 10 | |
2,191 | 3,419 | |
37.7% | 0.4% | |
9.9 | 6.3 | |
3 days ago | 7 days ago | |
Go | Go | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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
- A MySQL compatible database engine written in pure Go
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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)
- A Golang library and interface that allows querying anything with SQL
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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
mergestat-lite
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SQLite Doesn't Use Git
You can query git with this: https://github.com/mergestat/mergestat if you like the idea.
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A SQLite extension for reading large files line-by-line
Hey, author here, happy to answer any questions! Also checkout this notebook for a deeper dive into sqlite-lines, along with a slick WASM demonstration and more thoughts on the codebase itself https://observablehq.com/@asg017/introducing-sqlite-lines
I really dig SQLite, and I believe SQLite extensions will push it to another level. I rarely reach for Pandas or other "traditional" tools and query languages, and instead opt for plain ol' SQLite and other extensions. As a shameless plug, I recently started a blog series on SQLite and related tools and extensions if you want to learn more! Next week I'll be publishing more SQLite extensions for parsing HTML + making HTTP requests https://observablehq.com/@asg017/a-new-sqlite-blog-series
A few other SQLite extensions:
- xlite, for reading Excel files, in Rust https://github.com/x2bool/xlite
- sqlean, several small SQLite extensions in C https://github.com/nalgeon/sqlean
- mergestat, several SQLite extensions for developers (mainly Github's API) in Go https://github.com/mergestat/mergestat
- Show HN: Contribution Graph as a Git Command
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Exploring Git Repos With MergeStat 🔬
mergestat is an open-source tool that allows users to run SQL queries on the contents and history of git repositories.
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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
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Go library for printing human readable, relative time differences 🕰️
timediff is a Go package for printing human readable, relative time differences. Output is based on ranges defined in the Day.js JavaScript library, and can be customized if needed. It's currently used by the mergestat command-line interface.
- Askgit: Command-line tool for running SQL queries on Git repositories
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Semantic Git Commit Messages
Assuming committers adhere to it, there could be some interesting use cases when combined with a tool like AskGit (https://github.com/askgitdev/askgit) for understanding what "categories" of work is being done in a codebase.
Maybe even what directories/files tend to see `fix` or `refactor` more frequently (signs of a poorly design or "hot" area?)
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Git as a NoSql Database
I've been very curious to explore this type of use case with askgit (https://github.com/augmentable-dev/askgit) which was designed for running simple "slice and dice" queries and aggregations on git history (and change stats) for basic analytical purposes. I've been curious about how this could be applied to a small text+git based "db". Say, for a regular json or CSV dumps.
This also reminds me of Dolt: https://github.com/dolthub/dolt which I believe has been on HN a couple times
What are some alternatives?
vitess-sqlparser - simply SQL Parser for Go ( powered by vitess and TiDB )
git-xargs - git-xargs is a command-line tool (CLI) for making updates across multiple Github repositories with a single command.
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.
crux - General purpose bitemporal database for SQL, Datalog & graph queries. Backed by @juxt [Moved to: https://github.com/xtdb/xtdb]
sqlite-parser - JavaScript implentation of SQLite 3 query parser
flan - A tasty tool that lets you save, load and share postgres snapshots with ease
grammars-v4 - Grammars written for ANTLR v4; expectation that the grammars are free of actions.
sqlite-plus - The ultimate set of SQLite extensions
zetasql - ZetaSQL - Analyzer Framework for SQL
csv-sql - Command-line tool to load csv and excel (xlsx) files and run sql commands
lakeFS - lakeFS - Data version control for your data lake | Git for data
datasette-lite - Datasette running in your browser using WebAssembly and Pyodide