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I don't doubt that large amounts of javascript can often cause issues but even when cached NextCloud feels sluggish. When I look at just the network tab of a re
by PaulKeeble 1y ago
I don't doubt that large amounts of javascript can often cause issues but even when cached NextCloud feels sluggish. When I look at just the network tab of a refresh of the calendar page it does 124 network calls, 31 of which aren't cached. it seems to be making a call per calendar each of which is over 30ms. So that stacks up the more calendars you have(and you have a number by default like contact birthdays).
The Javascript performance trace shows over 50% of the work is in making the asynchronous calls to pull those calendars and other network calls one by one and then on all the refresh updates it causes putting them onto the page.
Supporting all these N calendar calls is pulls individually for calendar rooms and calendar resources and "principles" for the user. All separate individual network calls some of which must be gating the later individual calendar calls.
Its not just that, it also makes a call for notifications, groups, user status and multiple heartbeats to complete the page as well, all before it tries to get the calendar details.
This is why I think it feels slow, its pulling down the page and then the javascript is pulling down all the bits of data for everything on the screen with individual calls, waiting for the responses before it can progress in many ways to make the further calls of which there can be N many depending on what the user is doing.
So across the local network (2.5Gbps) that is a second and most of it in waiting for the network. If I use the regular 4G level of throttling it takes 33.10 seconds! Really goes to show how bad this design does with extra latency.
- riskable 1y agoI was going to say... The size of the JS only matters the first time you download it unless there's a lot of tiny files instead of a bundle or two. What the article is complaining about doesn't seem like it's root cause of the slowness. When it comes to JS optimization in the browser there's usually a few great big smoking guns: 1. Tons of tiny files: Bundle them! Big bundle > zillions of lazy-loaded files. 2. Lots of AJAX requests: We have WebSockets for a reason! 3. Race conditions: Fix your bugs :shrug: 4. Too many JS-driven animations: Use CSS or JS that just manipulates CSS. Nextcloud appears to be slow because of #2. Both #1 and #2 are dependent on round-trip times (HTTP request to server -> HTTP response to client) which are the biggest cause of slowness on mobile networks (e.g. 5G). Modern mobile network connections have plenty of bandwidth to deliver great big files/streams but they're still super slow when it comes to round-trip times. Knowing this, it makes perfect sense that Nextcloud would be slow AF on mobile networks because it follows the REST philosophy. My controversial take: GIVE REST A REST already! WebSockets are vastly superior and they've been around for FIFTEEN YEARS now. Do I understand why they're so much lower latency than REST calls on mobile networks? Not really: In theory, it's still a round-trip but for some reason an open connection can pass data through an order of magnitude (or more) lower latency on something like a 5G connection.
- fwlr 1y ago15MB of JavaScript is 15MB of code that your browser is trying to execute. It’s the same principle as “compiling a million lines of code takes a lot longer than compiling a thousand lines”.
- riskable 1y agoIt's a lot more complicated than that. If I have a 15MB .js file and it's just a collection of functions that get called on-demand (later), that's going to have a very, very low overhead because modern JS engines JIT compile on-the-fly (as functions get used) with optimization happening for "hot" stuff (even later). If there's 15MB of JS that gets run immediately after page load, that's a different story. Especially if there's lots of nested calls. Ever drill down deep into a series of function calls inside the performance report for the JS on a web page? The more layers of nesting you have, the greater the overhead. DRY as a concept is great from a code readability standpoint but it's not ideal performance when it comes to things like JS execution (haha). I'm actually disappointed that modern bundlers don't normally inline calls at the JS layer. IMHO, they rely too much on the JIT to optimize hot call sites when that could've been done by the bundler. Instead, bundlers tend to optimize for file size which is becoming less and less of a concern as bandwidth has far outpaced JS bundle sizes. The entire JS ecosystem is a giant mess of "tiny package does one thing well" that is dependent on n layers of "other tiny package does one thing well." This results in LOADS of unnecessary nesting when the "tiny package that does one thing well" could've just written their own implementation of that simple thing it relies on. Don't think of it from the perspective of, "tree shaking is supposed to take care of that." Think of it from the perspective of, "tree shaking is only going to remove dead/duplicated code to save file sizes." It's not going to take that 10-line function that handles with <whatever> and put that logic right where its used (in order to shorten the call tree).
- Joeri 1y agoThat 15mb still needs to be parsed on every page load, even if it runs in interpreted mode. And on low end devices there’s very little cache, so the working set is likely to be far bigger than available cache, which causes performance to crater.
- jauntywundrkind 1y agoSync Conf is next week, and this sort of issue is so part of what I hope maybe can just go away. https://syncconf.dev/ https://syncconf.dev/ Efforts like Electric SQL to have APIs/protocols for bulk fetching all changes (to a "table") is where it's at. https://electric-sql.com/docs/api/http https://electric-sql.com/docs/api/http It's so rare for teams to do data loading well, rarer still we get effective caching, and often a products footing here only degrades with time. The various sync ideas out there offer such an alluring potential, of having a consistent way to get the client the updated live data they need, in a consistent fashion. Side note, I'm also hoping the js / TC39 source phase imports proposal aka import source can help let large apps like NextCloud defer loading more of it's JS until needed too. But the waterfall you call out here seems like the real bad side (of NextCloud's architecture)! https://github.com/tc39/proposal-source-phase-imports https://github.com/tc39/proposal-source-phase-imports
- bityard 1y agoThe thing that kills me is that Nextcloud had an _amazing_ calendar a few years ago. It was way better than anything else I have used. (And I tried a lot, even the calendar add-on for Thunderbird. Which may or may not be built in these days, I can't keep track.) Then at some point the Nextcloud calendar was "redesigned" and now it's completely terrible. Aesthetically, it looks like it was designed for toddlers. Functionally, adding and editing events is flat out painful. Trying to specify a time range for an event is weird and frustrating. It's better than not having a calendar, but only just. There are plenty of open source calendar _servers_, but no good open source web-based calendars that I have been able to find.