bustub
prql
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bustub | prql | |
---|---|---|
13 | 106 | |
3,666 | 9,427 | |
4.4% | 2.7% | |
8.5 | 9.9 | |
16 days ago | 6 days ago | |
C++ | Rust | |
MIT License | Apache License 2.0 |
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.
bustub
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Can we create a thread for some of the best materials on CS available online?
Introduction to Computing"
https://dcic-world.org/
# Programming Language Theory:
"Programming Languages: Application and Interpretation"
https://www.plai.org/
# Compilation:
"Essentials of Compilation: An Incremental Approach in Python"
https://github.com/IUCompilerCourse/Essentials-of-Compilatio...
# Database Systems:
"CMU: Intro to Database Systems"
https://15445.courses.cs.cmu.edu/
"CMU: Advanced Database Systems"
https://15721.courses.cs.cmu.edu/
# Calculus I/II & Real Analysis
"A Course in Calculus and Real Analysis"
https://link.springer.com/book/10.1007/978-3-030-01400-1
"A Course in Multivariable Calculus and Analysis"
https://link.springer.com/book/10.1007/978-1-4419-1621-1
# Linear Algebra & ML:
* A Series of books by prof. Joe Suzuki without using any external library for the implementations *
"Statistical Learning with Math and Python"
https://link.springer.com/book/10.1007/978-981-15-7877-9
"Sparse Estimation with Math and Python"
https://link.springer.com/book/10.1007/978-981-16-1438-5
"Kernel Methods for Machine Learning with Math and Python"
https://link.springer.com/book/10.1007/978-981-19-0401-1
# Discrete Mathematics:
"CMU 21-228 Discrete Mathematics (prof. Poh-Shen Loh"
https://www.math.cmu.edu/~ploh/2021-228.shtml
# Cryptography:
"Serious Cryptography: A Practical Introduction to Modern Encryption"
https://nostarch.com/seriouscrypto
# Problem Solving:
"Math 235: Mathematical Problem Solving"
https://www.cip.ifi.lmu.de/~grinberg/t/20f/
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const/smart pointer confusions
The relevant classes are: https://github.com/cmu-db/bustub/blob/master/src/primer/trie.cpp and the header https://github.com/cmu-db/bustub/blob/master/src/include/primer/trie.h (you can look at the root github's repo README how to compile)
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Any DSA resources that are NOT boring?
Take for example CMU's bustub DB. Great lecture material, but their own pedagogical database where you implement parts of the database.
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The “Build Your Own Database” book is finished
This seems like a fairly shallow course: if you’re interested in some real awesome database hacking, I highly recommend bustub. It’s great and educational.
- 15-445 Projects source code
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What's everyone working on this week (9/2023)?
Not a tutorial but I completed all the assignments for CMU Database System course (link) and watched all their youtube videos before I started it (I highly recommend it, it's a great course and it's possible to submit the solutions even if you're not a CMU student. The entry code to gradescope is in the FAQ). Though, what I do is not re-writing bustub in Rust, as bustub uses 2 phase locking to achieve transaction isolation, and this uses MVCC, pretty much like Postgres (though currently much simpler). I used this resource as a starting point how it works.
- The BusTub Relational Database Management System (Educational)
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SimpleDB: A Basic RDBMS Built from Scratch
There is also BusTub from CMU which I stumbled upon earlier today:
https://github.com/cmu-db/bustub
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Online courses to learn more about databases and the concepts taught in Week 7?
check this course from cmu
- C++ Project Ideas
prql
- Prolog language for PostgreSQL proof of concept
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SQL is syntactic sugar for relational algebra
> I completely attribute this to SQL being difficult or "backwards" to parse. I mean backwards in the way that in SQL you start with what you want first (the SELECT) rather than what you have and widdling it down.
> The turning point for me was to just accept SQL for what it is.
Or just write PRQL and compile it to SQL
https://github.com/PRQL/prql
- Transpile Any SQL to PostgreSQL Dialect
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Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
Hey HN! We’ve built Pretzel, an open-source data exploration and visualization tool that runs fully in the browser and can handle large files (200 MB CSV on my 8gb MacBook air is snappy). It’s also reactive - so if, for example, you change a filter, all the data transform blocks after it re-evaluate automatically. You can try it here: https://pretzelai.github.io/ (static hosted webpage) or see a demo video here: https://www.youtube.com/watch?v=73wNEun_L7w
You can play with the demo CSV that’s pre-loaded (GitHub data of text-editor adjacent projects) or upload your own CSV/XLSX file. The tool runs fully in-browser—you can disconnect from the internet once the website loads—so feel free to use sensitive data if you like.
Here’s how it works: You upload a CSV file and then, explore your data as a series of successive data transforms and plots. For example, you might: (1) Remove some columns; (2) Apply some filters (remove nulls, remove outliers, restrict time range etc); (3) Do a pivot (i.e, a group-by but fancier); (4) Plot a chart; (5) Download the chart and the the transformed data. See screenshot: https://imgur.com/a/qO4yURI
In the UI, each transform step appears as a “Block”. You can always see the result of the full transform in a table on the right. The transform blocks are editable - for instance in the example above, you can go to step 2, change some filters and the reactivity will take care of re-computing all the cells that follow, including the charts.
We wanted Pretzel to run locally in the browser and be extremely performant on large files. So, we parse CSVs with the fastest CSV parser (uDSV: https://github.com/leeoniya/uDSV) and use DuckDB-Wasm (https://github.com/duckdb/duckdb-wasm) to do all the heavy lifting of processing the data. We also wanted to allow for chained data transformations where each new block operates on the result of the previous block. For this, we’re using PRQL (https://prql-lang.org/) since it maps 1-1 with chained data transform blocks - each block maps to a chunk of PRQL which when combined, describes the full data transform chain. (PRQL doesn’t support DuckDB’s Pivot statement though so we had to make some CTE based hacks).
There’s also an AI block: This is the only (optional) feature that requires an internet connection but we’re working on adding local model support via Ollama. For now, you can use your own OpenAI API key or use an AI server we provide (GPT4 proxy; it’s loaded with a few credits), specify a transform in plain english and get back the SQL for the transform which you can edit.
Our roadmap includes allowing API calls to create new columns; support for an SQL block with nice autocomplete features, and a Python block (using Pyodide to run Python in the browser) on the results of the data transforms, much like a jupyter notebook.
There’s two of us and we’ve only spent about a week coding this and fixing major bugs so there are still some bugs to iron out. We’d love for you to try this and to get your feedback!
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Pql, a pipelined query language that compiles to SQL (written in Go)
> Looks like PRQL doesn't have a Go library so I guess they just really wanted something in Go?
There's some C bindings and the example in the README shows integration with Go:
https://github.com/PRQL/prql/tree/main/prqlc/bindings/prqlc-...
- FLaNK Stack 26 February 2024
- FLaNK Stack Weekly 19 Feb 2024
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PRQL as a DuckDB Extension
Can someone tell me why PRQL is better? I went here: https://github.com/PRQL/prql
It looks nice, but what's the strengths compared to SQL?
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Shouldn't FROM come before SELECT in SQL?
PRQL [1] is a compile-to-SQL relational querying language that puts FROM first.
[1] https://prql-lang.org
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Vanna.ai: Chat with your SQL database
https://prql-lang.org/ might be an answer for this. As a cross-database pipelined language, it would allow RAG to be intermixed with the query, and the syntax may(?) be more reliable to generate
What are some alternatives?
ClickHouse - ClickHouse® is a free analytics DBMS for big data
malloy - Malloy is an experimental language for describing data relationships and transformations.
toydb - Distributed SQL database in Rust, written as a learning project
Preql - An interpreted relational query language that compiles to SQL.
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
tresql - Shorthand SQL/JDBC wrapper language, providing nested results as JSON and more
dbdoc - Document your database schema, because your team will thank you, and a single text file makes it easy. Works well with PostgreSQL and others.
spyql - Query data on the command line with SQL-like SELECTs powered by Python expressions
MongoDB - The MongoDB Database
RocksDB - A library that provides an embeddable, persistent key-value store for fast storage.
rfcs - RFCs for major changes to EdgeDB