klogg
simdjson
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klogg | simdjson | |
---|---|---|
11 | 65 | |
1,992 | 18,362 | |
- | 1.2% | |
8.3 | 9.2 | |
2 months ago | 16 days ago | |
C++ | C++ | |
GNU General Public License v3.0 only | 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.
klogg
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Toolong: Terminal application to view, tail, merge, and search log files
I'd love to see a tool that lets you modify large files efficiently.
I had to replace line 4 of a 200 GB SQL dump, it took a substantial amount of compute time to perform a find / replace with sed and it also required having over double the disk space since sed creates a temp file before it writes out the new file.
Using a hex editor could have worked but it seemed too risky because data integrity was really important.
There's also some other scenarios where maybe you have a massive file and the tool that's using it (such as a SQL import) throws an error on line 1,025,421. Trying to find what the contents of that line is on the command line could be time consuming if you need to read in the whole file. For read operations I know there's a few graphical tools like https://github.com/variar/klogg that efficiently let you scan, search and jump to points in a file quickly but I haven't found a good one on the command line.
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Textanalysistool.net
reminds me a bit of klogg https://github.com/variar/klogg which is more for log files and based off glogg which went dead. it has nice filtering and highlighting type stuff. It's great for live views of log files.
- Klogg: Fast log explorer based on glogg project
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Civiai 337k dataset with imges https://huggingface.co/datasets/thefcraft/civitai-stable-diffusion-337k
glogg / klogg
- Portable Windows app for tailing files with dark mode
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Not giving developers root access to their dev machines
For anybody who goes through this hell, I highly recommend [Klogg](https://github.com/variar/klogg).
- Can I find the Wattpad account tied to a certain email?
- Share your greatest free tools
- Contrarian here: What legacy software will they have to pry from your cold, dead fingers before you give it up?
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Superintendent.app: A desktop app for working with large CSV files using SQL. v2.0 now can load 1GB file in 20s and support regex/date parsing!
For example, the file star2002-full.csv from https://sdm.lbl.gov/fastbit/data/samples.html is a 1.99GB file and it takes less than 10 seconds to load in Notepad+. It's almost instant in https://github.com/variar/klogg.
simdjson
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Tips on adding JSON output to your command line utility. (2021)
It's also supported by simdjson [0] (which has a lot of language bindings [1]):
> Multithreaded processing of gigantic Newline-Delimited JSON (ndjson) and related formats at 3.5 GB/s
[0] https://simdjson.org/
[0] https://github.com/simdjson/simdjson?tab=readme-ov-file#bind...
- 1BRC Merykitty's Magic SWAR: 8 Lines of Code Explained in 3k Words
- Training great LLMs from ground zero in the wilderness as a startup
- simdjson: Parsing Gigabytes of JSON per Second
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Use any web browser as GUI, with Zig in the back end and HTML5 in the front end
String parsing is negligible compared to the speed of the DOM which is glacially slow: https://news.ycombinator.com/item?id=38835920
Come on, people, make an effort to learn how insanely fast computers are, and how insanely inefficient our software is.
String parsing can be done at gigabytes per second: https://github.com/simdjson/simdjson If you think that is the slowest operation in the browser, please find some resources that talk about what is actually happening in the browser?
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Cray-1 performance vs. modern CPUs
Thanks for all the detailed information! That answers a bunch of my questions and the implementation of strlen is nice.
The instruction I was thinking of is pshufb. An example ‘weird’ use can be found for detecting white space in simdjson: https://github.com/simdjson/simdjson/blob/24b44309fb52c3e2c5...
This works as follows:
1. Observe that each ascii whitespace character ends with a different nibble.
2. Make some vector of 16 bytes which has the white space character whose final nibble is the index of the byte, or some other character with a different final nibble from the byte (eg first element is space =0x20, next could be eg 0xff but not 0xf1 as that ends in the same nibble as index)
3. For each block where you want to find white space, compute pcmpeqb(pshufb(whitespace, input), input). The rules of pshufb mean (a) non-ascii (ie bit 7 set) characters go to 0 so will compare false, (b) other characters are replaced with an element of whitespace according to their last nibble so will compare equal only if they are that whitespace character.
I’m not sure how easy it would be to do such tricks with vgather.vv. In particular, the length of the input doesn’t matter (could be longer) but the length of white space must be 16 bytes. I’m not sure how the whole vlen stuff interacts with tricks like this where you (a) require certain fixed lengths and (b) may have different lengths for tables and input vectors. (and indeed there might just be better ways, eg you could imagine an operation with a 256-bit register where you permute some vector of bytes by sign-extending the nth bit of the 256-bit register into the result where the input byte is n).
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Codebases to read
Additionally, if you like low level stuff, check out libfmt (https://github.com/fmtlib/fmt) - not a big project, not difficult to understand. Or something like simdjson (https://github.com/simdjson/simdjson).
- Simdjson: Parsing Gigabytes of JSON per Second
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Building a high performance JSON parser
Everything you said is totally reasonable. I'm a big fan of napkin math and theoretical upper bounds on performance.
simdjson (https://github.com/simdjson/simdjson) claims to fully parse JSON on the order of 3 GB/sec. Which is faster than OP's Go whitespace parsing! These tests are running on different hardware so it's not apples-to-apples.
The phrase "cannot go faster than this" is just begging for a "well ackshully". Which I hate to do. But the fact that there is an existence proof of Problem A running faster in C++ SIMD than OP's Probably B scalar Go is quite interesting and worth calling out imho. But I admit it doesn't change the rest of the post.
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New package : lspce - a simple LSP Client for Emacs
I have same question as /u/JDRiverRun : how do you deal with JSON, do you parse json on Rust side or on Emacs side. I see that you are requiring json.el in your lspce.el, but I haven't looked through entire file carefully. If you parse on Rust side, do you use simdjson (there are at least two Rust bindings to it)? If yes, what are your impressions, experiences compared to more "standard" json library?
What are some alternatives?
RIP - Free,Open-Source,Cross-platform agent and Post-exploiton tool written in Golang and C++.
RapidJSON - A fast JSON parser/generator for C++ with both SAX/DOM style API
pingnoo - An open-source cross-platform traceroute/ping analyser.
jsoniter - jsoniter (json-iterator) is fast and flexible JSON parser available in Java and Go
pingnoo - An open-source cross-platform traceroute/ping analyser. [Moved to: https://github.com/nedrysoft/pingnoo]
json - JSON for Modern C++
olive - Free open-source non-linear video editor
json-schema-validator - JSON schema validator for JSON for Modern C++
mRemoteNG - mRemoteNG is the next generation of mRemote, open source, tabbed, multi-protocol, remote connections manager.
JsonCpp - A C++ library for interacting with JSON.
q - q - Run SQL directly on delimited files and multi-file sqlite databases
json - A C++11 library for parsing and serializing JSON to and from a DOM container in memory.