async-profiler
rewrite
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async-profiler | rewrite | |
---|---|---|
10 | 24 | |
7,112 | 1,830 | |
2.8% | 7.0% | |
8.7 | 9.9 | |
11 days ago | 6 days ago | |
C++ | Java | |
Apache License 2.0 | Apache License 2.0 |
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.
async-profiler
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JVM Profiling in Action
We'll use async-profiler and flame graphs for profiling. To simplify the process, we'll run the code using JBang.
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The Return of the Frame Pointers
JIT'ed code is sadly poorly supported, but LLVM has had great hooks for noting each method that is produced and its address. So you can build a simple mixed-mode unwinder, pretty easily, but mostly in process.
I think Intel's DNN things dump their info out to some common file that perf can read instead, but because the *kernels* themselves reuse rbp throughout oneDNN, it's totally useless.
Finally, can any JVM folks explain this claim about DWARF info from the article:
> Doesn't exist for JIT'd runtimes like the Java JVM
that just sounds surprising to me. Is it off by default or literally not available? (Google searches have mostly pointed to people wanting to include the JNI/C side of a JVM stack, like https://github.com/async-profiler/async-profiler/issues/215).
- FLaNK Stack 29 Jan 2024
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Tracking Java Native Memory with JDK Flight Recorder
debugging native calls in itself is also painful. I have switched to using async-profiler (https://github.com/async-profiler/async-profiler) instead of JFR for most of my usecases.
A. it tracks native calls by default
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Show HN: Javaflame – Simple Flamegraph for your Java application
https://github.com/async-profiler/async-profiler#flame-graph...
Ok, Windows is not supported. But IntelliJ made a fork which works on Windows.
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Lettuce (Redis) + Mybatis (MySQL) take up most of the CPU in production - Is it normal? Did you observe that in your environment? Any ways to optimize it?
Hi, today I used async-profiler to check the CPU usage of my Spring Boot app (just a normal backend) in production. Surprisingly, Lettuce (Redis) + Mybatis (MySQL) take up most of the CPU time. I am not talking about wall time here, but CPU time, since I know database requests need to wait for milliseconds and thus wall time will be very long. Therefore, I wonder:
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A question about Http4s new major version
You can use async-profiler to see what is happening under the hood.
- Reducing code size in (Rust) librsvg by removing an unnecessary generic struct
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what is your favorite programming trick/tool that not many People know about?
I have used visual vm quite a bit. https://github.com/async-profiler/async-profiler is also amazing... Throw the binary on the system and fire it up. It also profiles down into native code as well if you do that kind of thing.
rewrite
- FLaNK Weekly 31 December 2023
- OpenRewrite – Automated mass refactoring of source code
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AST-grep(sg) is a CLI tool for code structural search, lint, and rewriting
If you're into this sort of thing, there's OpenRewrite[1] for the Java ecosystem.
[1] https://docs.openrewrite.org/
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What's New in Spring Framework 6.1
> Spring has gotten so bloated.
I'd call Spring feature-rich than bloated. You can always shed weight that you don't want to carry.
> Plus there's multiple ways of doing the same thing. e.g. JPA, spring-data.
That's because there are different ways to solve a problem. Someone may want an ORM-based approach to connect to the database; they can choose spring-data-jpa. Someone may want to use JDBC with a light abstraction on top of it; they can choose spring-data-jdbc. It's all about choices and right tradeoffs and Spring offers plenty of them.
> they don't provide easy upgrade paths between majors versions
That's not my experience. I've been happily upgrading 2.x.x versions and plan to upgrade to 3.2.x when it is ready. But depending on the codebase, I admit it can be painful. Projects like OpenRewrite[1] might help here.
> and they stop updating vulnerabilities on older major versions.
This is not news. They want you to pay for extended support if you need it.
> No docs on migration.
They do maintain migration docs on GitHub wiki which are a lot more detailed than their blog posts on migration. Here's the latest one to upgrade from Spring Boot 2 to 3: https://github.com/spring-projects/spring-boot/wiki/Spring-B...
[1]: https://github.com/openrewrite/rewrite
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We already have Spring 2.1.3, Is SpringBoot 3 worth learning.
The issue you may run into when migrating from Spring Boot 2.x to 3.x is the JEE namespace renames. Migrating code from 8 to 17 in my experience hasn't been all that difficult. In most projects, there are no changes to make. However, with the namespace change, you'll probably have to do some planning and testing. If you are migrating a lot of projects, check out Open Rewrite, it may help automate a lot of these upgrades (for both 8 to 17 and Spring Boot versions).
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Why wouldn't somebody change their version?
Couldn't OpenRewrite (https://docs.openrewrite.org) do a big part of this manual work?
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Any ideas on how to automate upgrade of legacy Spring Framework/Spring Boot repositories?
Openrewrite would probably be a big help, see https://docs.openrewrite.org
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what is your favorite programming trick/tool that not many People know about?
In a similar vein there is OpenRewrite which is an open-source project that works in a similar way. It also has a lot of great refactorings already built in, like doing all the grunt work for migrating to JUnit 5, or replacing string concatenation in SLF4J log calls with parameterized formatting.
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Refactoring giant codebase
seems a case for https://docs.openrewrite.org/
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What are your thoughts on Spring in 2023?
https://github.com/openrewrite/rewrite might help
What are some alternatives?
jmh - https://openjdk.org/projects/code-tools/jmh
JavaParser - Java 1-17 Parser and Abstract Syntax Tree for Java with advanced analysis functionalities.
container-jfr - Secure JDK Flight Recorder management for containerized JVMs
gradle-lint-plugin - A pluggable and configurable linter tool for identifying and reporting on patterns of misuse or deprecations in Gradle scripts.
jfr-libraries - a list of libraries that generate JFR events
grammars-v4 - Grammars written for ANTLR v4; expectation that the grammars are free of actions.
Arthas - Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
opentelemetry-java-instrumentation - OpenTelemetry auto-instrumentation and instrumentation libraries for Java
aws-ip-ranges - Tracking the history and size of AWS's ip-ranges.json file
junit-jfr - a JUnit 5 extension that generates JFR events
spring-cloud-dataflow - A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes