js-bson
bsv
js-bson | bsv | |
---|---|---|
1 | 6 | |
1,100 | 31 | |
1.6% | - | |
8.1 | 3.7 | |
3 days ago | 6 months ago | |
TypeScript | C | |
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.
js-bson
bsv
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Do You Know How Much Your Computer Can Do in a Second?
grep is the beginning, not the end. it’s a great performance baseline to meet, and then beat[1]. computers are insanely fast!
the startups using grep on aws are undercutting those doing slower things on aws. this must be why aws architects never talk about grep.
1. https://github.com/nathants/bsv
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Generic dynamic array in 60 lines of C
awesome! i do the same thing for arrays[1] and maps[2].
stuff like this is great when you are trying to find performance ceiling of some workload. literally nothing to hide.
1. https://github.com/nathants/bsv/blob/master/util/array.h
2. https://github.com/nathants/bsv/blob/master/util/map.h
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Consider Using CSV
i had a lot of fun exploring the performance ceiling of csv and csv like formats. turns out binary encoding of size prefixed byte arrays is fast[1].
csv is just a sequence of 2d byte arrays. probably avoid if dealing with heterogeneous external data. possibly use if dealing with homogeneous internal data.
https://github.com/nathants/bsv
- Big Data file formats
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GitHub - SixArm/usv: USV: Unicode Separated Values
i like this idea, and do something similar: https://github.com/nathants/bsv
- Ask HN: Have you created programs for only your personal use?
What are some alternatives?
parquet-go - pure golang library for reading/writing parquet file
tad - A desktop application for viewing and analyzing tabular data
ndjson.github.io - Info Website for NDJSON