simdjson VS SheetJS js-xlsx

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...

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?

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).

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).

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.

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?

ExcelJS and XLSX (SheetJS) are great libraries to work with XLSX files. The former I've found a bit easier to work with but less efficient in general.

Sure. I manipulate excel files programatically in the browser all the time. I don't really understand your exact workflow, but I use Javascript with xlsx and React.

Looking at the xlsx documentation, to parse files in the browser, rather than readFile, you use read, which is designed to parse binary data directly, rather than read from disk. There are a bunch of different formats if you go to the XLSX NPM page and scroll down to "Acquiring and Extracting Data". Importantly, it seems the data must already be serialized, so a Blob won't work, but we can work with that.

Last year, Bing and Edge erroneously flagged our website https://sheetjs.com/ as "dangerous": https://i.imgur.com/BvA3zrk.png

At the time, there was no "Safety Report" to indicate why Bing thought it was dangerous. The report page linked to https://www.bing.com/toolbox/bing-site-safety?url=https%3a%2... and it said "That web page doesn't exist"

To fix it, we had to register with "Bing Webmaster Tools" (https://www.bing.com/webmasters/about) and raise a support ticket.

Within a few days, the issue "resolved itself". It's possible that raising a ticket forced some automatic refresh of the indexed data for the domain.

xlsx.

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For more, you can visit xlsx documentation Link.

There are libraries like https://github.com/SheetJS/sheetjs to parse excel and https://www.chartjs.org/ for all kinds of charts/graphs. Not really much HTML involved here.. the markup gets generated by the chart library.