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I built a 2x faster lexer, then discovered I/O was the real bottleneck

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Re: I built a 2x faster lexer, then discovered I/O was the real bottleneck

#2
Zip with no compression is a nice contender for a container format that shouldn't be slept on. It effectively reduces the I/O, while unlike TAR, allowing direct random to the files without "extracting" them or seeking through the entire file, this is possible even via mmap, over HTTP range queries, etc.

You can still get the compression benefits by serving files with Content-Encoding: gzip or whatever. Though it has builtin compression, you can just not use that and use external compression instead, especially over the wire.

It's pretty widely used, though often dressed up as something else. JAR files or APK files or whatever.

I think the articles complaints about lacking unix access rights and metadata is a bit strange. That seems like a feature more than a bug, as I wouldn't expect this to be something that transfers between machines. I don't want to unpack an archive and have to scrutinize it for files with o+rxst permissions, or have their creation date be anything other than when I unpacked them.

Re: I built a 2x faster lexer, then discovered I/O was the real bottleneck

#5

Zip with no compression is a nice contender for a container format that shouldn't be slept on. It effectively reduces the I/O, while unlike TAR, allowing direct random to the files without "extracting" them or seeking through the entire file, this is possible even via mmap, over HTTP range queries, etc. You can still get the compression benefits by serving files with Content-Encoding: gzip or whatever. Though it has…

> Zip with no compression is a nice contender for a container format that shouldn't be slept on

SquashFS with zstd compression is used by various container runtimes, and is popular in HPC where filesystems often have high latency. It can be mounted natively or with FUSE, and the decompression overhead is not really felt.

Re: I built a 2x faster lexer, then discovered I/O was the real bottleneck

#7
post #6

there are a loooot of languages/compilers for which the most wall-time expensive operation in compilation or loading is stat(2) searching for files

I actually ran into this issue building dependency graphs of a golang monorepo. We analyzed the cpu trace and found that the program was doing a lot of GC so we reduced allocations. This was just noise though as the runtime was just making use of time waiting for I/O as it had shelled out to go list to get a json dep graph from the CLI program. This turns out to be slow due to stat calls and reading from disk. We replaced our usage of go list with a custom package import graph parser using the std lib parser packages and instead of reading from disk we give the parser byte blobs from git, also using git ls-files to “stat” the files. Don’t remember the specifics but I believe we brought the time from 30-45s down to 500ms to build the dep graph.

Re: I built a 2x faster lexer, then discovered I/O was the real bottleneck

#8

Zip with no compression is a nice contender for a container format that shouldn't be slept on. It effectively reduces the I/O, while unlike TAR, allowing direct random to the files without "extracting" them or seeking through the entire file, this is possible even via mmap, over HTTP range queries, etc. You can still get the compression benefits by serving files with Content-Encoding: gzip or whatever. Though it has…

Isn't this what is already common in the Python community?

> I don't want to unpack an archive and have to scrutinize it for files with o+rxst permissions, or have their creation date be anything other than when I unpacked them.

I'm the opposite, when I pack and unpack something, I want the files to be identical including attributes. Why should I throw away all the timestamps, just because the file were temporarily in an archive?

Re: I built a 2x faster lexer, then discovered I/O was the real bottleneck

#9
Same thing applies to other system aspects:

compressing the kernel loads it faster on RAM even if it still has to execute the un compressing operation. Why?

Load from disk to RAM is a larger bottleneck than CPU uncompressing.

Same is applied to algorithms, always find the largest bottleneck in your dependent executions and apply changes there as the rest of the pipeline waits for it. Often picking the right algorithm “solves it” but it may be something else, like waiting for IO or coordinating across actors (mutex if concurrency is done as it used to).

That’s also part of the counterintuitive take that more concurrency brings more overhead and not necessarily faster execution speeds (topic largely discussed a few years ago with async concurrency and immutable structures).

Re: I built a 2x faster lexer, then discovered I/O was the real bottleneck

#10

Zip with no compression is a nice contender for a container format that shouldn't be slept on. It effectively reduces the I/O, while unlike TAR, allowing direct random to the files without "extracting" them or seeking through the entire file, this is possible even via mmap, over HTTP range queries, etc. You can still get the compression benefits by serving files with Content-Encoding: gzip or whatever. Though it has…

Isn't this what is already common in the Python community? > I don't want to unpack an archive and have to scrutinize it for files with o+rxst permissions, or have their creation date be anything other than when I unpacked them. I'm the opposite, when I pack and unpack something, I want the files to be identical including attributes. Why should I throw away all the timestamps, just because the file were temporarily i…

Yes, it's a lossy process.

If your archive drops it you can't get it back.

If you don't want it you can just chmod -R u=rw,go=r,a-x

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