duckdb
proposal-observable
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duckdb | proposal-observable | |
---|---|---|
52 | 12 | |
16,356 | 3,036 | |
9.5% | 0.2% | |
10.0 | 0.0 | |
5 days ago | over 4 years ago | |
C++ | JavaScript | |
MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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duckdb
- 🪄 DuckDB sql hack : get things SORTED w/ constraint CHECK
- DuckDB: Move to push-based execution model (2021)
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DuckDB performance improvements with the latest release
I'm not sure if the fix is reassuring or not: https://github.com/duckdb/duckdb/pull/9411/files
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Building a Distributed Data Warehouse Without Data Lakes
It's an interesting question!
The problem is that the data is spread everywhere - no choice about that. So with that in mind, how do you query that data? Today, the idea is that you HAVE to put it into a central location. With tools like Bacalhau[1] and DuckDB [2], you no longer have to - a single query can be sharded amongst all your data - EFFECTIVELY giving you a lot of what you want from a data lake.
It's not a replacement, but if you can do a few of these items WITHOUT moving the data, you will be able to see really significant cost and time savings.
- DuckDB 0.9.0
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Push or Pull, is this a question?
[4] Switch to Push-Based Execution Model by Mytherin · Pull Request #2393 · duckdb/duckdb (github.com)
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Show HN: Hydra 1.0 – open-source column-oriented Postgres
it depends on your query obviously.
In general, I did very deep benchmarking of pg, clickhouse and duckdb, and I sure didn't make stupid mistakes like this: https://news.ycombinator.com/item?id=36990831
My dataset has 50B rows and 2tb of data, and I think columnar dbs are very overhiped and I chose pg because:
- pg performance is acceptable, maybe 2-3x times slower than clickhouse and duckdb on some queries if pg is configured correctly and run on compressed storage
- clickhouse and duckdb start falling apart very fast because they specialized on very narrow type of queries: https://github.com/ClickHouse/ClickHouse/issues/47520 https://github.com/ClickHouse/ClickHouse/issues/47521 https://github.com/duckdb/duckdb/discussions/6696
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🦆 Effortless Data Quality w/duckdb on GitHub ♾️
This action installs duckdb with the version provided in input.
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Using SQL inside Python pipelines with Duckdb, Glaredb (and others?)
Duckdb: https://github.com/duckdb/duckdb - seems pretty popular, been keeping an eye on this for close to a year now.
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CSV or Parquet File Format
The Parquet-Go library is very complex, not yet success to use it. So I ask whether DuckDB can provide API https://github.com/duckdb/duckdb/issues/7776
proposal-observable
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Proposal: Signals as a Built-In Primitive of JavaScript
https://github.com/tc39/proposal-observable
And there's the new one which seems to be getting implemented in node right now:
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Observable API Proposal
How does it differ from <https://github.com/tc39/proposal-observable/>?
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The Truth about Svelte
I think it is a shame that the Observable proposal [1] still seems somewhat stuck in Stage 1. It's a better idea than just raw event emitters because of composability (if no other reason). Making Observables "first class" could go a long way to unifying a lot of reactivity patterns in various frameworks, in theory at least.
To be fair, Observables and especially Observable composition has a rough learning curve and many frameworks like Svelte intentionally prefer implict reactivity and avoiding things like explicit Observables because they are seen as too complex/"too hard" for the average developer.
(Then you get awful worst of both worlds frameworks like Angular that sort of rely on Observables but yet also don't trust teaching Observables and wind up with code that isn't properly Observable and so also has all the code for implicit reactivity and is full of nasty escape hatches that cause all sorts of composition problems and unnecessary side effects.)
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💡 Observable Mutable Wrapper Object
Uses an interface described in the TC39 observables proposal
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Example of Asynchronous programming using Observer pattern vs Promise
JavaScript doesn't have any built-in observables (addEventListener is part of the DOM API specific to browsers) though there is an old observable proposal collecting dust. I think ReactiveX (RxJS) is pretty much the go-to for any kind of observable functionality you may want. That may be a good place to start to really see what observables can do.
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JavaScript Evolutsiyasi Qisqa Satrlarda!
Observablelar streamlarga asoslangan reaktiv dasturlash paradigmasini olib kiradi JSga. Shaxsan menga eng yoqqan takliflardan biri. Bu haqida ham alohida maqola yozish niyat bor. RxJS (Angular) bilan ishlab ko'rganlar bo'lsa buni nimaligini juda yaxshi tushunishadi, endi bu library emas balki native 🚀 !!!
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4 Ways to Handle Async Operations in Javascript
Observable is an object that takes a stream of data and emits events over time to react accordingly. There is a talk to add it to the ECMAScript standard and its proposal is here. Till now it is not part of the ECMAScript standard so to use it, you have to use a third-party library and the well-known Reactive Extension in Javascript is RxJs.
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Reactive Programming
Well, the answer is surprisingly no. But, there is an active tc39 proposal going on around for a while, didn’t find it much active though, you could watch out here — https://github.com/tc39/proposal-observable
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Why do we need rxjs library as JavaScript is reactive by default?
RxJS is an implementation of observables which do not exist natively in JavaScript. There is a proposal for adding observables to the language, but it's only stage 1 and hasn't been active for years.
- Query Engines: Push vs. Pull
What are some alternatives?
ClickHouse - ClickHouse® is a free analytics DBMS for big data
fp-ts - Functional programming in TypeScript
sqlite-worker - A simple, and persistent, SQLite database for Web and Workers.
eslint-plugin-unicorn - More than 100 powerful ESLint rules
datasette - An open source multi-tool for exploring and publishing data
eslint-plugin-github - An opinionated collection of ESLint rules used by GitHub.
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
RxJS - A reactive programming library for JavaScript
metabase-clickhouse-driver - ClickHouse database driver for the Metabase business intelligence front-end
cross-project-council - OpenJS Foundation Cross Project Council
arrow-datafusion - Apache DataFusion SQL Query Engine
proposal-pattern-matching - Pattern matching syntax for ECMAScript