JITWatch
ql-https
JITWatch | ql-https | |
---|---|---|
10 | 6 | |
3,015 | 17 | |
0.6% | - | |
6.3 | 7.7 | |
about 1 month ago | about 2 months ago | |
Java | Common Lisp | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
JITWatch
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It's 2023, so of course I'm learning Common Lisp
You can kind of do the same as DISASSEMBLE in Clojure.
There are some helper projects like https://github.com/Bronsa/tools.decompiler, and on the OpenJDK JitWatch (https://github.com/AdoptOpenJDK/jitwatch), other JVMs have similar tools as well.
It isn't as straightforward as in Lisp, but it is nonetheless doable.
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How much is too much? 380+ lines of an AssertionUtil class Or Loggin classes in general.
As you have encapsulated the asserts inside methods, these will be called at runtime with the arguments evaluated (for example, creating that lambda). When assertions are disabled, the C1/C2 may inline the empty method call eventually, but I don't know whether it drops the lambda instantiation as well. You can use JITWatch to see what gets inlined. The general notion though is to not worry too much. Lazy log messages are a common pattern.
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JIT x86 ia32
You can use jitwatch for this. To see the actual assembly code generated you will also need to use a debug build of the jvm.
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SIMD accelerated sorting in Java – how it works and why it was 3x faster
If you use Oracle's own IDE, it will support it out of the box, as it already did on Sun's days.
Then there are other ways depending on which JVM implementation is used.
On OpenJDK's case you can load runtime plugin to do it
https://github.com/AdoptOpenJDK/jitwatch
- Equivalent of cppinsight for kotlin
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Compiler Explorer - Java support
We use https://github.com/AdoptOpenJDK/jitwatch for this.
- How to Read Assembly Language
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Why Zig When There Is Already C++ and Rust?
If you already know any JVM or .NET language, the first step would be to understand the full stack, you don't need C for that.
Many of us were doing systems programming with other languages before C went mainstream.
What you need to learn is computer architecture.
Getting back to JVM or .NET, you can get hold of JIT Watch, VS debug mode or play online in SharpLab.
Get to understand how some code gets translated into MSIL/JVM, and how those bytecodes end up being converted into machine code.
https://github.com/AdoptOpenJDK/jitwatch/wiki/Screenshots
https://sharplab.io/
Languages like F# and C# allow you to leave the high level comfort and also do most of the stuff you would be doing in C.
Or just pick D, which provides the same comfort and goes even further in low level capabilities.
Use them to write a toy compiler, userspace driver, talking to GPIO pins in a PI, manipulating B-Tree data stuctures directly from inodes, a TCP/IP userspace driver.
Not advocating not to learn Zig, do it still, the more languages one learns the better.
Only advocating what might be an easier transition path into learning about systems programming concepts.
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JIT 101
You can enable a lot of debug information about how the compiler decides what to do with your code using feature flags like -XX:+UnlockDiagnosticVMOptions -XX:+PrintInlining. If you want to dive deeper into the world of the Hotspot JIT Compiler, have a look at JITWatch.
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Is Java As Fast As C When It Comes To Stack
In what concerns HotSpot, one way would be JITWatch.
ql-https
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It's 2023, so of course I'm learning Common Lisp
Solutions for the lack of https:
- add in https://github.com/rudolfochrist/ql-https (downloads packages with curl)
- use another package manager, CLPM: https://www.clpm.dev (or the newest ocicl)
> CLPM comes as a pre-built binary, supports HTTPS by default, supports installing multiple package versions, supports versioned systems, and more.
- use mitmproxy: https://hiphish.github.io/blog/2022/03/19/securing-quicklisp...
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Ocicl – An ASDF system distribution and management tool for Common Lisp
Other options are:
- Quicklisp -really slick, libraries in there are curated. (with https support here: https://github.com/rudolfochrist/ql-https and here: https://github.com/snmsts/quicklisp-https.git)
- for project-local dependencies like virtualenv: https://github.com/fukamachi/qlot
- a new, more traditional one: https://www.clpm.dev (CLPM comes as a pre-built binary, supports HTTPS by default, supports installing multiple package versions, supports versioned systems, and more)
For recent Quicklisp upgrades: http://ultralisp.org/
Ocicl is very new (5 days) and tries a new approach, building "on tools from the world of containers".
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What do you think the risks/pitfalls of using Common Lisp are in a business?
You can use SSL with QuickLisp via ql-https
- quicklisp security (or total lack of it)
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Common Lisp Implementations in 2023
LPM's warning is not surprising. It's common for libraries (dare I say open-source ones?), even if they work well. It's part of the stability game, once they are marked 1.0, they are stable. LPM works well (as reported by others).
QL wants to do it portably, there are easy workarounds, but yeah…
(just saw https://github.com/rudolfochrist/ql-https)
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Securing Quicklisp through mitmproxy
That what I‘m doing: https://github.com/rudolfochrist/ql-https
What are some alternatives?
JMH - "Trust no one, bench everything." - sbt plugin for JMH (Java Microbenchmark Harness)
tungsten - A Common Lisp toolkit.
SharpLab - .NET language playground
CSharpRepl - A command line C# REPL with syntax highlighting – explore the language, libraries and nuget packages interactively.
Sniffy - Sniffy - interactive profiler, testing and chaos engineering tool for Java
bettercap - The Swiss Army knife for 802.11, BLE, IPv4 and IPv6 networks reconnaissance and MITM attacks.
jHiccup - jHiccup is a non-intrusive instrumentation tool that logs and records platform "hiccups" - including the JVM stalls that often happen when Java applications are executed and/or any OS or hardware platform noise that may cause the running application to not be continuously runnable.
thirteen-letters - Competitive word scramble in the browser, made for Lisp Game Jam (Spring 2023)
LatencyUtils - Utilities for latency measurement and reporting
quicklisp-https
quickperf - QuickPerf is a testing library for Java to quickly evaluate and improve some performance-related properties
qlot - A project-local library installer for Common Lisp