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Introduction | https://epiktistes.com/introduction |
---|---|
GitHub | https://github.com/toddsundsted/ktistec |
Pronouns | he/him |
🌎 | Sector 001 |
it's interesting to see what scans show up in the logs:
2025-01-24 16:24:11 UTC 404 GET /.env 1.16ms 2025-01-24 16:24:11 UTC 404 GET /.env 563.87µs 2025-01-24 16:24:14 UTC 404 GET /.aws/credentials 601.43µs 2025-01-24 16:24:14 UTC 404 GET /.aws/credentials 498.43µs 2025-01-24 16:24:16 UTC 404 GET /.env.example 609.78µs 2025-01-24 16:24:16 UTC 404 GET /.env.example 544.13µs 2025-01-24 16:24:18 UTC 404 GET /.env.production 798.14µs 2025-01-24 16:24:19 UTC 404 GET /admin/.env 628.06µs 2025-01-24 16:24:23 UTC 404 GET /api/.env 906.66µs 2025-01-24 16:24:25 UTC 404 GET /app/.env 574.45µs 2025-01-24 16:24:27 UTC 404 GET /app_dev.php/_profiler/open?file=app/config/parameters.yml 537.69µs 2025-01-24 16:24:33 UTC 404 GET /app_dev.php/_profiler/phpinfo 841.8µs 2025-01-24 16:24:35 UTC 404 GET /backend/.env 513.92µs 2025-01-24 16:24:36 UTC 404 GET /core/.env 661.94µs 2025-01-24 16:24:38 UTC 404 GET /credentials 649.68µs 2025-01-24 16:24:40 UTC 404 GET /crm/.env 480.42µs 2025-01-24 16:24:43 UTC 404 GET /demo/.env 579.16µs 2025-01-24 16:24:49 UTC 404 GET /info/ 614.09µs 2025-01-24 16:24:51 UTC 404 GET /infos/ 705.33µs 2025-01-24 16:24:54 UTC 404 GET /pinfo.php 489.59µs 2025-01-24 16:24:58 UTC 404 GET /vendor/.env 780.1µs
this reminds me that i have to make responding to those requests much much slower...
If you're running an instance of Ktistec and want to see what other ActivityPub instances are sending you, turn on JSON-LD processing debug
logging.
ktistec.json_ld
setting.Ktistec will dump received activities to the log, after the activity has been parsed into JSON but before JSON-LD expansion.
2025-01-22 14:53:17 UTC 409 POST /actors/toddsundsted/inbox 4.29ms 2025-01-22T14:53:17.597172Z DEBUG - ktistec.json_ld: {"@context" => ["https://www.w3.org/ns/activitystreams", "https://w3id.org/security/v1"], "id" => "https://random.site/users/FooBar#delete", "type" => "Delete", "actor" => "https://random.site/users/FooBar", "object" => "https://random.site/users/FooBar", "to" => ["https://www.w3.org/ns/activitystreams#Public"], "signature" => {"type" => "RsaSignature2017", "creator" => "https://random.site/users/FooBar#main-key", "created" => "2025-01-22T14:52:40Z", "signatureValue" => "01234567890abcdefghijklmnopqrstuvwxyz=="}}
Answer to a FAQ:
The server returns HTTP status code 409 ("Conflict") if it has already received an activity.
Finally published a library I've wanted for a long time: a Crystal type for dealing with both calendar and monotonic durations in the same object.
Crystal is fast because methods are monomorphized at compile time. In simple terms, that means that at compile time, a polymorphic method is replaced by one or more type-specific instantiations of that method. The following polymorphic code...
def plus(x, y) x + y end
...is effectively replaced by two methods—one that does integer addition if called with two integers, and one that does string concatenation if called with two strings.
This extends to inherited methods, which are implicitly also passed self
. You can see this in action if you dump and inspect the symbols in a compiled program:
class FooBar def self.foo puts "#{self}.foo" end def bar puts "#{self}.bar" end end FooBar.foo FooBar.new.bar class Quux < FooBar end Quux.foo Quux.new.bar
Dumping the symbols, you see multiple instantiations of the methods foo
and bar
:
... _*FooBar#bar:Nil _*FooBar::foo:Nil _*FooBar@Object::to_s<String::Builder>:Nil _*FooBar@Reference#to_s<String::Builder>:Nil _*FooBar@Reference::new:FooBar _*Quux@FooBar#bar:Nil _*Quux@FooBar::foo:Nil _*Quux@Object::to_s<String::Builder>:Nil _*Quux@Reference#to_s<String::Builder>:Nil _*Quux@Reference::new:Quux ...
The optimizer in release builds is pretty good at cleaning up the obvious duplication. But during my optimization work on Ktistec, I found that a lot of duplicate code shows up anyway.
Most pernicious are weighty methods that don't depend on class or instance state (don't make explicit or implicit reference to self
). As I blogged about earlier, this commit replaced calls to the inherited method map
on subclasses with calls to the method map
defined on the base class and reduced the executable size by ~5.8%. The code was identical and the optimizer could remove the unused duplicates.
So, as a general rule, if you intend to use inheritance, put utility code that doesn't reference the state or the methods on the class or instance in an adjacent utility class—as I eventually did with this commit.
(The full thread starts here.)
Ktistec release v2.4.5 rolls out the build time and executable size optimizations I've been blogging about here. It also fixes a few small bugs.
Fixed
Changed
I've started a branch full of query optimizations. My general rule—as highlighted in the server logs—is if a query takes longer than 50msec, it takes too long. It's time to address some problems...
The Ktistec executable is now ~24.7% smaller and build times are 28% faster.
I've been blogging about optimizations here, here, and here. This is the summary of the final outcome, with links to commits for the curious. I have one more post planned with a summary of my thoughts.
Here's my approach. Use nm
to dump the symbols in a release build executable and then look for things that seem redundant. The first change and associated post below is a great example of what I mean—my original implementation led to the specialization of the #==
method for every pairwise combination of model classes even though the result of the comparison was just false
.
This might seem like a strange approach if you come from a compiled language where you mostly write all of the code yourself or invoke generics explicitly, but Crystal takes your code and does that for you. And it's not always obvious up front (to me, at least) what the final cost will be.
I've include counts of the lines added/removed because the point of this whole post is to say if you measure first and then optimize, a small change can have a big impact.
Here are the changes:
#==
. (+7 -5)Hash
. (+2 -2)__for_internal_use_only
that get passed both named tuples and hashes by going all in with named tuples. It also eliminates instantiations of the Hash
generic type itself for these cases. Reduces executable size by ~2.2%.__for_internal_use_only
entirely.InstanceMethods
 instance methods. (+1 -5)map
 from base ActivityPub model classes. (+10 -2)map
is a class method defined on each ActivityPub base model class. Each definition maps JSON-LD to a hash that is used to instantiate the class. Class methods defined on a base class are available on subclasses, as well. Calling the method on the subclass results in a copy of the method. This change reduces the executable size by ~5.8%.map
 into helper. (+104 -88) map
method does not depend on class/instance state. This change ensures that the mapping code is not duplicated even if a subclass's map
method is accidentally again called. It looks like a lot of changes but this commit is mostly reorganization. It reduces executable size by ~0.4%.I'm off to optimize some queries now...
Serdar updated the #crystalkemal cookbook with more recipes (i.e. #Cookies, #Databases, #redis ).
If you're looking for a #sinatra like framework for @CrystalLanguage, then #kemalcr is the best way to go.
#CrystalLang #CrystalLanguage#kemal
Happy New Year, happy new release! 🎇
1.15.0 is out with a new, efficient event loop, support for MinGW-W64 and MSYS2, improvements for BSD platforms, and many more features.
Watch out for the formatter changes, they'll likely affect your codebase!
@jayvii i just discovered your introduction page. i liked it so much i copied the idea!
I've been on the Fediverse since January 2017. I initially ran a single-user instance of Mastodon. In March 2020 I started to write Ktistec, my own implementation of an ActivityPub server in Crystal (a language with the ergonomics of Ruby but the speed of Go) because I wanted something more supportive of writing. This #introduction was written and published on Epiktistes, my Ktistec instance.
I'm an Engineer by training but now I run teams for companies in climate-tech.
I love #music, #sciencefiction and #fantasy literature (yes, I'm an R. A. Lafferty fan), attend fan conventions like #worldcon and #dragoncon, and do regular #weightlifting. I am also learning to play the #bagpipes, and I'm (re)learning #japanese.