jfrunit
jmh
jfrunit | jmh | |
---|---|---|
7 | 26 | |
301 | 2,025 | |
-0.3% | 2.7% | |
0.0 | 6.3 | |
about 1 year ago | about 24 hours ago | |
Java | Java | |
Apache License 2.0 | GNU General Public License v3.0 only |
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jfrunit
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Experimenting with GC-less (heap-less) Java
I haven't had chance to use it properly yet, but I think JfrUnit[0][1] is a good option here to test non-functional behaviour like memory usage and garbage collection.
[0]: https://github.com/moditect/jfrunit
- Is there a way to write tests to validate the Hibernate-generated queries?
- JfrUnit – A JUnit extension for asserting JDK Flight Recorder events
- Possible to detect performance and memory issues with testing?
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Ask Java: what are some JFR-based tools that you enjoy?
JfrUnit: Allows to assert JFR events in JUnit tests (details)
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Inducing sustained GC
I do not know of any library that would particularly help here, except maybe this thingie might help with writing tests to assert your expected behaviour holds: https://github.com/gunnarmorling/jfrunit (A potentially relevant example here: https://twitter.com/gunnarmorling/status/1335326054496555008). However, there's no public release as of yet.
jmh
- Experimenting with GC-less (heap-less) Java
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Any library you would like to recommend to others as it helps you a lot? For me, mapstruct is one of them. Hopefully I would hear some other nice libraries I never try.
JMH for benchmarks
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Scala collections benchmark - revisited
I would recommend using JMH instead.
- What are some advantages to Java devs learning assembly?
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Is calling a method with reflection slower than calling a method normally? If so, by how much?
Reflection is probably very roughly between 10 and 1000 times slower. Why don't you measure it yourself using JMH?
- I benchmarked kotlin rust and go. The results will shock you , or not.
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Need help navigating the Java ecosystem (coming from C++)
Aleksey Shipilev is another such leader, whom is especially knowledgeable about the internals of the JVM. His writings are invaluable. He is (was) the lead of the Java microbenchmark framework (JMH} which is how one would write small performance experiments in Java, and learn what really makes a difference or now.
- Are Long better than Integer as keys for a Map?
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Threads vs Coroutines - ParallelMap Performance
In the last episode we implemented a parallelMap operation using streams, raw threads, a threadpool with futures, and coroutines. At first glance the raw threads was quickest, followed by futures, coroutines and then streams. In this, part 56 of an exploration of where a Test Driven Development implementation of the Gilded Rose stock control system might take us in Kotlin, we investigate the performance of the different functions further, in particular digging down into why coroutines seem to be slow and finding a way to speed them up. We also find a way to use a particular ForkJoinPool to run the streams code, making it as fast as the others (bar the raw threads). Frankly we only use very rough benchmarks here, with no statistical testing except 'it looks like'. That's OK for gross differences, but is highly suspect when deciding which of two similarly performant approaches is faster. For that check out JMH and you could watch my video from KotlinConf 2017
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Just another way to run JMH benchmark with Eclipse
A few months ago, we started to use JMH in our project to test and find performance issues. The tool provides multiple modes and profilers, and we found this useful for our purposes.
What are some alternatives?
hibernate-jfr - a Hiberante listener that generates JFR events
async-profiler - Sampling CPU and HEAP profiler for Java featuring AsyncGetCallTrace + perf_events [Moved to: https://github.com/async-profiler/async-profiler]
junit-jfr - a JUnit 5 extension that generates JFR events
opentelemetry-java-instrumentation - OpenTelemetry auto-instrumentation and instrumentation libraries for Java
hypersistence-optimizer - Hypersistence Optimizer allows you to get the most out of JPA and Hibernate. By scanning your application configuration and mappings, Hypersistence Optimizer can tell you what changes you need to do to speed up your data access layer.
OpenJ9 - Eclipse OpenJ9: A Java Virtual Machine for OpenJDK that's optimized for small footprint, fast start-up, and high throughput. Builds on Eclipse OMR (https://github.com/eclipse/omr) and combines with the Extensions for OpenJDK for OpenJ9 repo.
micrometer-jfr - A Micrometer meter registry that generates JFR events
async-profiler - Sampling CPU and HEAP profiler for Java featuring AsyncGetCallTrace + perf_events
jfr-jdbc - a JDBC driver that wraps an other JDBC driver and generates JFR events
go - The Go programming language
Gatling - Modern Load Testing as Code
Arthas - Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas