From 23c2accba926539385824ebb26944b2e4a34b9af Mon Sep 17 00:00:00 2001 From: Bradlee Speice Date: Thu, 4 Oct 2018 22:20:31 -0400 Subject: [PATCH] Case study in optimization post --- _drafts/case-study-optimization.md | 168 ++++++++++++++++++ .../2018-10-heaptrack/heaptrack-after.png | Bin 0 -> 72414 bytes .../2018-10-heaptrack/heaptrack-before.png | Bin 0 -> 69842 bytes .../heaptrack-closeup-after.png | Bin 0 -> 23782 bytes .../2018-10-heaptrack/heaptrack-closeup.png | Bin 0 -> 24166 bytes .../heaptrack-dtparse-colorized.png | Bin 0 -> 126839 bytes .../heaptrack-flamegraph-after.png | Bin 0 -> 148377 bytes .../heaptrack-flamegraph-default.png | Bin 0 -> 138608 bytes .../heaptrack-flamegraph.png | Bin 0 -> 141686 bytes .../heaptrack-flamegraph.xcf | Bin 0 -> 585864 bytes .../heaptrack-main-colorized.png | Bin 0 -> 100144 bytes .../heaptrack-parseinfo-colorized.png | Bin 0 -> 137074 bytes 12 files changed, 168 insertions(+) create mode 100644 _drafts/case-study-optimization.md create mode 100644 assets/images/2018-10-heaptrack/heaptrack-after.png create mode 100644 assets/images/2018-10-heaptrack/heaptrack-before.png create mode 100644 assets/images/2018-10-heaptrack/heaptrack-closeup-after.png create mode 100644 assets/images/2018-10-heaptrack/heaptrack-closeup.png create mode 100644 assets/images/2018-10-heaptrack/heaptrack-dtparse-colorized.png create mode 100644 assets/images/2018-10-heaptrack/heaptrack-flamegraph-after.png create mode 100644 assets/images/2018-10-heaptrack/heaptrack-flamegraph-default.png create mode 100644 assets/images/2018-10-heaptrack/heaptrack-flamegraph.png create mode 100644 assets/images/2018-10-heaptrack/heaptrack-flamegraph.xcf create mode 100644 assets/images/2018-10-heaptrack/heaptrack-main-colorized.png create mode 100644 assets/images/2018-10-heaptrack/heaptrack-parseinfo-colorized.png diff --git a/_drafts/case-study-optimization.md b/_drafts/case-study-optimization.md new file mode 100644 index 0000000..9dd32fb --- /dev/null +++ b/_drafts/case-study-optimization.md @@ -0,0 +1,168 @@ +--- +layout: post +title: "A Case Study in Heaptrack" +description: "...because you don't need no garbage collection " +category: +tags: [] +--- + +One of the first conversations I had about programming went like this: + +> Programmers have it too easy these days. They should learn to develop +> in low memory environments and be efficient. +> +> -- My Father (paraphrased) + +Though it's not like the first code I wrote was for a +[graphing calculator](https://education.ti.com/en/products/calculators/graphing-calculators/ti-84-plus-se), +packing a whole 24KB of RAM. By the way, *what are you doing on my lawn?* + +The principle remains though: be efficient with the resources you're given, because +[what Intel giveth, Microsoft taketh away](http://exo-blog.blogspot.com/2007/09/what-intel-giveth-microsoft-taketh-away.html). +My professional work has been focused on this kind of efficiency; low-latency financial markets force +you to understand deeply *exactly* what your code is doing. As I've been experimenting with Rust for +personal projects, I'm glad to see that it's possible to bring that mindset with me. There's flexibility for +programming as if there was a garbage collector, and flexibility for the times when I really care about efficiency. + +This post is a (small) case study in how I went from the former to the latter. And it's an attempt to prove how easy +it is for you to do the same. + +# The Starting Line + +When I first started building the [dtparse] crate, my intention was to mirror as closely as possible the logic from +the equivalent [Python library][dateutil]. Python, as you may know, is garbage collected. Very rarely is memory +usage considered in Python, and so I likewise wasn't paying attention when `dtparse` was first being built. + +That works out well enough, and I'm not planning on tuning the crate for memory usage. +But every so often I wondered "what exactly is going on in memory?" With the advent of Rust 1.28 and the +[Global Allocator trait](https://doc.rust-lang.org/std/alloc/trait.GlobalAlloc.html), I had a really great idea: +*build a custom allocator that allows you to track your own allocations.* That way, you can do things like +writing tests for both correct results and correct memory usage. I gave it a [shot][qadapt], but learned +very quickly: **never write your own allocator**. It very quickly turned from "fun weekend project" into +"I have literally no idea what my computer is doing." + +Instead, let's highlight another (easier) way you can make sense of your memory usage: [heaptrack] + +# Turning on the System Allocator + +This is the hardest part of the post. Because Rust uses +[its own allocator](https://github.com/rust-lang/rust/pull/27400#issue-41256384) by default, +`heaptrack` is unable to properly record what your code is actually doing. We have to +instead compile our programs with some special options to make it work. + +Specifically, in `lib.rs` or `main.rs`, make sure you add this: + +```rust +use std::alloc::System; + +#[global_allocator] +static GLOBAL: System = System; +``` + +Or look [here](https://blog.rust-lang.org/2018/08/02/Rust-1.28.html) for another example. + +# Running heaptrack + +Assuming you've installed heaptrack (Homebrew in Mac, package manager in Linux, ??? in Windows), +all that's left is to fire it up: + +``` +heaptrack my_application +``` + +It's that easy. After the program finishes, you'll see a file in your local directory with a name +like `heaptrack.my_appplication.XXXX.gz`. If you load that up in `heaptrack_gui`, you'll see +something like this: + +![heaptrack](/assets/images/2018-10-heaptrack/heaptrack-before.png) + +--- + +And even these pretty colors: + +![pretty colors](/assets/images/2018-10-heaptrack/heaptrack-flamegraph.png) + +# Reading Flamegraphs + +We're going to focus on the heap ["flamegraph"](http://www.brendangregg.com/flamegraphs.html), +which is the last picture I showed above. Normally these charts are used to show how much time +you spend executing different functions, but the focus for now is to show how much memory +was allocated during those functions. + +I'm not going to spend too much time on how to read flamegraphs, but the idea is this: +The width of the bar is how much memory was allocated by that function, and all functions +that it calls. + +For example, we can see that all executions happened during the `main` function: + +![allocations in main](/assets/images/2018-10-heaptrack/heaptrack-main-colorized.png) + +...and within that, all allocations happened during `dtparse::parse`: + +![allocations in dtparse](/assets/images/2018-10-heaptrack/heaptrack-dtparse-colorized.png) + +...and within *that*, allocations happened in two main places: + +![allocations in parseinfo](/assets/images/2018-10-heaptrack/heaptrack-parseinfo-colorized.png) + +Now I apologize that it's hard to see, but there's one area specifically that stuck out +as an issue: **what the heck is the `Default` thing doing?** + +![pretty colors](/assets/images/2018-10-heaptrack/heaptrack-flamegraph-default.png) + +# Optimizing dtparse + +See, I knew that there were some allocations that happen during the `dtparse::parse` method, +but I was totally wrong about where the bulk of allocations occurred in my program. +Let me post the code and see if you can spot the mistake: + +```rust +/// Main entry point for using `dtparse`. +pub fn parse(timestr: &str) -> ParseResult<(NaiveDateTime, Option)> { + let res = Parser::default().parse( + timestr, None, None, false, false, + None, false, + &HashMap::new(), + )?; + + Ok((res.0, res.1)) +} +``` +> [dtparse](https://github.com/bspeice/dtparse/blob/4d7c5dd99572823fa4a390b483c38ab020a2172f/src/lib.rs#L1286) + +--- + +The issue is that I keep on creating a new `Parser` every time you call the `parse()` function! + +Now this is a bit excessive, but was necessary at the time because `Parser.parse()` used `&mut self`. +In order to properly parse a string, the parser itself required mutable state. + +So, I put some time in to +[make the parser immutable](https://github.com/bspeice/dtparse/commit/741afa34517d6bc1155713bbc5d66905fea13fad#diff-b4aea3e418ccdb71239b96952d9cddb6), +and now I could re-use the same parser over and over. And would you believe it? No more allocations of default parsers: + +![allocations cleaned up](/assets/images/2018-10-heaptrack/heaptrack-flamegraph-after.png) + +In total, we went from requiring 2 MB of memory: + +![memory before](/assets/images/2018-10-heaptrack/heaptrack-closeup.png) + +All the way down to 300KB: + +![memory after](/assets/images/2018-10-heaptrack/heaptrack-closeup-after.png) + +# Conclusion + +In the end, you don't need to write a custom allocator to test memory performance. Rather, there are some +pretty good tools that already exist you can make use of! + +**Use them.** + +Now that [Moore's Law](https://en.wikipedia.org/wiki/Moore%27s_law) +is [dead](https://www.technologyreview.com/s/601441/moores-law-is-dead-now-what/), we've all got to +do our part to take back what Microsoft stole. + +[dtparse]: https://crates.io/crates/dtparse +[dateutil]: https://github.com/dateutil/dateutil +[heaptrack]: https://github.com/KDE/heaptrack +[qadapt]: https://crates.io/crates/qadapt diff --git a/assets/images/2018-10-heaptrack/heaptrack-after.png b/assets/images/2018-10-heaptrack/heaptrack-after.png new file mode 100644 index 0000000000000000000000000000000000000000..b5f8d8f25f49dff2e602e712de2b3f14da82bb74 GIT binary patch literal 72414 zcmce;c{r8t`!>2N)uJ+0=FFi?p^!Nt3DF>9%9PAxDpP6+2}!1qBvj@yC$o@BGL$KE zhB8Km4EtPtf8Te%`;YgZee7eeqvP|5SnGN2`?{~|yw3Byo?spA6T7Hbs0akYu9NC2 zX9$F?>;%Fl9pYwuM~`!X1OMA{P5I%X#-qmOia&-5ui7GkfXw=sx5Y;FKptD=EA9eR%tKSec&AZglCb 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