arrow-datafusion
ht
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arrow-datafusion | ht | |
---|---|---|
55 | 39 | |
4,924 | 4,732 | |
4.9% | - | |
9.9 | 9.0 | |
7 days ago | 3 days ago | |
Rust | Rust | |
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.
arrow-datafusion
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Velox: Meta's Unified Execution Engine [pdf]
Python's Substrait seems like the biggest/most-used competitor-ish out there. I'd love some compare & contrast; my sense is that Substrait has a smaller ambition, and more wants to be a language for talking about execution rather than a full on execution engine. https://github.com/substrait-io/substrait
We can also see from the DataFusion discussion that they too see themselves as a bit of a Velox competitor. https://github.com/apache/arrow-datafusion/discussions/6441
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What I Talk About When I Talk About Query Optimizer (Part 1): IR Design
Agree, substrait is a really cool project! Related: if you like substrait you might want to check out datafusion too. The project is a query execution engine built on top of Apache Arrow (with SQL parser, query planner & optimizer, execution engine, extensible user defined functions, among others) and it implements a substrait provider and consumer: https://github.com/apache/arrow-datafusion/tree/main/datafus...
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DuckDB performance improvements with the latest release
The draft contains some preliminary benchmark results, comparing it to DuckDB.
https://github.com/apache/arrow-datafusion/issues/6782
- Apache Arrow DataFusion
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GlareDB: An open source SQL database to query and analyze distributed data
Apache Arrow is a pretty common memory structure these days. Datafusion is an open query engine built in Rust started by Andy Grove.
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DuckDB 0.8.0
DuckDB is a great piece of software if you are
If you are looking for a query engine implemented in a safe language (Rust) I definitely suggest checking out DataFusion. It is comparable to DuckDB in performance, has all the standard built in SQL functionality, and is extensible in pretty much all areas (query language, data formats, catalogs, user defined functions, etc)
https://arrow.apache.org/datafusion/
Disclaimer I am a maintainer of DataFusion
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Data Engineering with Rust
https://github.com/jorgecarleitao/arrow2 https://github.com/apache/arrow-datafusion https://github.com/apache/arrow-ballista https://github.com/pola-rs/polars https://github.com/duckdb/duckdb
- Polars: Computing a new column from multiple columns - there must be a better way
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Bridging Async and Sync Rust Code - A lesson learned while working with Tokio
Problem comes when you want to do this inside an async context since we couldn't block an async task. https://users.rust-lang.org/t/sync-function-invoking-async/43364/6 You might need to do it in another runtime/thread. It is not recommended to do this, but sometimes it is unavoidable while implementing a third-party trait. https://github.com/apache/arrow-datafusion/issues/3777 However, I believe this isn't a problem particular to tokio, or any specific runtime.
- Using Rust to write a Data Pipeline. Thoughts. Musings.
ht
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Curl is now a CVE Numbering Authority
No need to use curl, make HTTP requests great again with https://github.com/ducaale/xh
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Why people in Google hate Go?
Except when you actually enjoy things being fast. For example, HTTPie easily adds 0.5-1s delay to every request because it's written in Python, especially on the first invocation. xh (https://github.com/ducaale/xh), on the other hand, starts immediately because it's written in Rust. I very much like this trend.
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HTTPie Desktop: cross-platform API testing client for humans
HTTPie is great and was a big improvement for me over cURL.
However, I ended up switching to xh[1] as it's significantly faster and I prefer its output.
https://github.com/ducaale/xh
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Tell HN: Postman just wiped all my stuff
No, but unless portability is a concern or you're massively familiar with curl, you might want to consider xh. It's much more intuitive.
https://github.com/ducaale/xh
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๐๐ฆComandos shell reescritos em Rust
xh
- Insomnia REST client now requires an account
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The curl-wget Venn diagram
wget on the other hand, automatically converts the รฑ to UTF-8 hex and resolves the link perfectly.
I've searched the curl manpage and couldn't find a way to solve this. Please help.
I'm having to use `xh --curl` [1] to "fix" the links before I pass them to curl.
[1] https://github.com/ducaale/xh
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Get better with Vim one tip at a time
Very nice, you should add xh to the User-Agents though.
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I Could Rewrite Curl
While not a rewrite - one recent tool for making http requests which i quite enjoy is:
https://github.com/ducaale/xh
It's basically python httpie rewritten in rust. my only gripe is that i keep forgetting that it exists - and that "xh" is for http and "xhs" is for https.
So i frequently end up with curl anyway:)
- xh: Friendly and fast tool for sending HTTP requests (HTTPie in Rust)
What are some alternatives?
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
rustdesk - An open-source remote desktop, and alternative to TeamViewer.
ClickHouse - ClickHouseยฎ is a free analytics DBMS for big data
htmlq - Like jq, but for HTML.
db-benchmark - reproducible benchmark of database-like ops
httpie - ๐ฅง HTTPie CLI โ modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
databend - ๐๐ฎ๐๐ฎ, ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ & ๐๐. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics. https://databend.com
gitoxide - An idiomatic, lean, fast & safe pure Rust implementation of Git
nushell - A new type of shell
tty-share - Share your linux or osx terminal over the Internet.
duckdb - DuckDB is an in-process SQL OLAP Database Management System
thgtoa - The Hitchhikerโs Guide to Online Anonymity