prql
binaryen
prql | binaryen | |
---|---|---|
106 | 14 | |
9,436 | 7,110 | |
0.8% | 0.9% | |
9.9 | 9.8 | |
2 days ago | 5 days ago | |
Rust | WebAssembly | |
Apache License 2.0 | 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.
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
binaryen
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Bring garbage collected programming languages efficiently to WebAssembly
The Binaryen wasm optimizer (mentioned in the article) is always open for contributions,
https://github.com/WebAssembly/binaryen
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Random Testing of WebAssembly Implementations Using Semantically Valid Programs
The end of the related work section cites both wasm-smith and the Binaryen fuzzer (https://github.com/WebAssembly/binaryen/wiki/Fuzzing) and says, "They both provide a fuzzer that turns a stream of bytes into a WebAssembly module in order to test implementations. Their fuzzers always generate semantically valid test cases, but lack the targeting and tuning that Xsmith provides."
I look forward to reading more about how they do the targeting and tuning.
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Web assembly book?
Binaryen or the LLVM of wasm: https://github.com/WebAssembly/binaryen
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You can reduce web build file size by 4mb by using Binaryen
Download Binaryen
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What's the best way to generate WASM programmatically?
Probably https://github.com/WebAssembly/binaryen/, there were various rust bindings to it.
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Build a WebAssembly Language for Fun and Profit: Code Generation
The final phase of our compiler is code generation. This phase takes the AST and converts it to a set of executable instructions. In our case, WebAssembly. To accomplish this, we are going to use a popular WebAssembly compiler toolchain called binaryen.
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Build a WebAssembly Language for Fun and Profit: Lexing
In this guide, we will be using TypeScript and NodeJS. The concepts are highly portable, so feel free to use the environment you're most comfortable with. Our only major dependency, binaryen, has a simple C API. You are welcome to skip ahead to the next section if you're using a different language.
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Rust and WebAssembly without a Bundler
What are the size and performance benefits of processing the Wasm payload with wasm-opt?
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Is WebAssembly Text (WAT) Just Another IR?
I would recommend looking into binaryen as it has it's own IR and can perform optimizations over it. It's also simpler than LLVM and has the option to produce binaries with debug names.
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What are the advantages or disadvantages of compiling to VM Bytecode vs native machine code?
You can also use binaryen to optimize your wasm output
What are some alternatives?
malloy - Malloy is an experimental language for describing data relationships and transformations.
wasm-bindgen - Facilitating high-level interactions between Wasm modules and JavaScript
Preql - An interpreted relational query language that compiles to SQL.
wasi-sdk - WASI-enabled WebAssembly C/C++ toolchain
bustub - The BusTub Relational Database Management System (Educational)
wasi-libc - WASI libc implementation for WebAssembly
tresql - Shorthand SQL/JDBC wrapper language, providing nested results as JSON and more
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
spyql - Query data on the command line with SQL-like SELECTs powered by Python expressions
asyncify - Standalone Asyncify helper for Binaryen
toydb - Distributed SQL database in Rust, written as a learning project
workers-wasi