gitplay
tensorbase
| gitplay | tensorbase | |
|---|---|---|
| 2 | 1 | |
| 20 | 1,429 | |
| - | 0.4% | |
| 8.6 | 0.0 | |
| 5 months ago | almost 2 years ago | |
| TypeScript | 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.
gitplay
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Group changes into commits and rebase to build a better Git history
You can read the markdown version [here](https://github.com/brainless/gitplay/issues/5)
## Problem statement
We all have worked on a feature intensively and had to refractor a lot of the code base (in early projects). But can't spend the mental expense to context switch from `writing code` to `make meaningful commit messages`.
A good commit history is at the expense of the developer, which results in breaking the "flow". As pg mentioned in his blog post [Holding a program in one's head][1], it be better to work in long stretches to have better developer productivity. And it is very common for devs to have to make code cleanups which are unrelated to the feature they are working on ([example tweet][2])
* Commit small and commit often
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ToyDB: Distributed SQL Database in Rust
What are you starting with? I re-started my Rust learning last month. I am very slow at learning but Rust makes digging into systems stuff so much fun. I am from Python/JS background. I start with Rustlings every time.
Now building a Git player - basically watch a Git repo history unfold like a movie, for learning purposes [1].
Please ping me if you have some ideas, looking for learning peers.
1. https://github.com/brainless/gitplay
tensorbase
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ToyDB: Distributed SQL Database in Rust
+ The result of TB's architectural performance: the untuned write throughput of TB is ~ 2x faster than that of CH in the Rust driver bench, or ~70% faster by using CH own ```clickHouse-client``` command. Use [this parallel script](https://github.com/tensorbase/tools/blob/main/import_csv_to_...) to try it yourself!
3. Thanks to the Arrow-DataFusion, TensorBase has supported good parts of TPC-H. [Untuned TPC-H Q1 result here](https://github.com/tensorbase/benchmarks/blob/main/tpch.md).
4. In simple (no-groupby) aggregation, TensorBase is several times faster than ClickHouse. [Benchmark here](https://github.com/tensorbase/benchmarks/blob/main/quick.md).
5. For complex groupby aggregations, recently we help to boost the speed of the TB engine to the same level of ClickHouse(not released, but coming soon).
6. TB will soon supports MySQl wire protocol, distributed query, adaptive columnar storage optimization... Watch [issues here](https://github.com/tensorbase/tensorbase/issues)
Finally, it is really great to build an AP database in Rust. Welcome to join!
Disclaimer: I am the author of TensorBase.
What are some alternatives?
toydb - Distributed SQL database in Rust, written as a learning project
awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.
tools