jmh
Jackson JSON Processor
jmh | Jackson JSON Processor | |
---|---|---|
26 | 23 | |
2,025 | 8,827 | |
2.7% | 0.8% | |
6.3 | 6.6 | |
3 days ago | about 1 month ago | |
Java | ||
GNU General Public License v3.0 only | - |
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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.
Jackson JSON Processor
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Data API for Amazon Aurora Serverless v2 with AWS SDK for Java - Part 2 Executing SQL statements
We can then easily convert this string value into the array of Products using librares like Jackson.
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Consuming and Testing third party API's using Spring Webclient
The above class maps the json data to a java object we can work with. We use Lombok to generate constructors, getters and setters for our code and the Jackson Project to handle serialization and deserialization of json to pojo . We know the response is an array of objects representing the coffee and so above data structure is fit for this.
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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.
Jackson. Because JSON.
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Create a custom Jackson JsonSerializer und JsonDeserializer for mapping values
For my series of articles, I also wanted to see how this requirement to mapping values could be implemented with Jackson.
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Is rust serde unique?
In practical terms, Jackson achieves the same purpose for Java. It was born as a Json parser, but nowadays supports multiple formats and it's widely used in the Java community.
- Recommend packages for formatting JSON for a command line Java program?
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Forward Compatible Enum Values in API with Java Jackson
How can Jackson library help you out?
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Generate Kotlin client for a complex web API
jackson
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Primeiros passos no desenvolvimento Java em 2023: um guia particular
Jackson para lidar com JSON;
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How to build a Snowflake API?
An example of a Snowflake API request using Java. This example uses Java’s built-in HttpClient and constructs JSON manually, so it doesn’t require additional dependencies; however, in production, you should use a library like Jackson for constructing JSON. Additionally, for stronger typing, you could use Apollo’s Kotlin-based GraphQL client.
What are some alternatives?
async-profiler - Sampling CPU and HEAP profiler for Java featuring AsyncGetCallTrace + perf_events [Moved to: https://github.com/async-profiler/async-profiler]
MapStruct - An annotation processor for generating type-safe bean mappers
opentelemetry-java-instrumentation - OpenTelemetry auto-instrumentation and instrumentation libraries for Java
Moshi - A modern JSON library for Kotlin and Java.
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.
Gson - A Java serialization/deserialization library to convert Java Objects into JSON and back
async-profiler - Sampling CPU and HEAP profiler for Java featuring AsyncGetCallTrace + perf_events
Hibernate - Hibernate's core Object/Relational Mapping functionality
go - The Go programming language
Carteasy - A Shopping cart library for Android that allows you add to add items to cart and retrieve at ease using JSONObjects.
Arthas - Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas
Yasson - Eclipse Yasson project