spring-data-relational
FrameworkBenchmarks
spring-data-relational | FrameworkBenchmarks | |
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11 | 366 | |
728 | 7,384 | |
-0.4% | 0.4% | |
9.1 | 9.8 | |
7 days ago | 5 days ago | |
Java | Java | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
spring-data-relational
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You might not need an ORM
What do you think of Spring Data JDBC (https://spring.io/projects/spring-data-jdbc)?
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Architecture Pitfalls: Don’t use your ORM entities for everything — embrace the SQL!
What do you think of Spring Data JDBC?
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Where is the Lock annotation in Spring-data-jdbc?
Link to GitHub: https://github.com/spring-projects/spring-data-relational/blob/main/spring-data-relational/src/main/java/org/springframework/data/relational/repository/Lock.java
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What are some more options or good practices for dynamic SQL query building?
I would ignore the hipster jOOQ and similar and start with Spring Data JDBC https://spring.io/projects/spring-data-jdbc
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Which ORM framework are you using with Java, and why?
This makes Spring Data JDBC a simple, limited, opinionated ORM.
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Solution to NullPointerException in java?
Though JPA is fine, and yes hibernate can be used under the hood. When it comes to spring it is mostly what level of abstraction you want. Or you could go with JDBC. And you have a spring data JDBC for having a similar abstraction as to the JPA one.
- Is there a reason to not use Spring Data JPA and Jackson in big projects?
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Jodd – The Unbearable Lightness of Java
This is not correct. You're thinking Spring Data JPA [1]. Spring Data JDBC [2] does _not_ use any Hibernate nonsense.
[1] https://spring.io/projects/spring-data-jdbc
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I wrote an MVP in Java and it was actually pleasant
The data moved from the awesome-but-confusing DynamoDB... into PostgreSQL✨, using Spring Data JDBC.
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20 years of Hibernate
I didn't have much experience with Hibernate and Spring (was using JavaEE prior), it could very possibly be the case, that the team simply misused Hibernate. We might have used n+1 queries, eager loading (although I mildly remember we fixed this), oh and we had the old id generation via sequence in Hibernate, that was really pain to optimize properly. Oracle 11 does not have identity generation. I remembered this only becuase I created an issue at the time. Still not implemented, but can't blame them, who the hell uses sequences as ID generation nowadays.
FrameworkBenchmarks
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Why choose async/await over threads?
Neat. Thanks for sharing!
Interestingly, may-minihttp is faring very well in the TechEmpower benchmark [1], for whatever those benchmarks are worth. The code is also surprisingly straightforward [2].
[1] https://www.techempower.com/benchmarks/
[2] https://github.com/TechEmpower/FrameworkBenchmarks/blob/mast...
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Ntex: Powerful, pragmatic, fast framework for composable networking services
ntex was formed after a schism in actix-web and Rust safety/unsafety, with ntex allowing more unsafe code for better performance.
ntex is at the top of the TechEmpower benchmarks, although those benchmarks are not apples-to-apples since each uses its own tricks: https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...
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A decent VS Code and Ruby on Rails setup
Ruby is slow. Very slow. How much you may ask? https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s... fastest Ruby entry is at 272th place. Sure, top entries tend to have questionable benchmark-golfing implementations, but it gives you a good primer on the overhead imposed by Ruby.
It is also not early 00s anymore, when you pick an interpreted language, you are not getting "better productivity and tooling". In fact, most interpreted languages lag behind other major languages significantly in the form of JS/TS, Python and Ruby suffering from different woes when it comes to package management and publishing. I would say only TS/JS manages to stand apart with being tolerable, and Python sometimes too by a virtue of its popularity and the amount of information out there whenever you need to troubleshoot.
If you liked Go but felt it being a too verbose to your liking, give .NET a try. I am advocating for it here on HN mostly for fun but it is, in fact, highly underappreciated, considered unsexy and boring while it's anything but after a complete change of trajectory in the last 3-5 years. It is actually the* stack people secretly want but simply don't know about because it is bundled together with Java in the public perception.
*productive CLI tooling, high performance, works well in a really wide range of workloads from low to high level, by far the best ORM across all languages and back-end framework that is easier to work with than Node.JS while consuming 0.1x resources
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The Erlang Ecosystem [video]
Although that seems to have improved in recent years.
https://www.techempower.com/benchmarks/#hw=ph&test=json§...
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Ruby 3.3
RoR and whatever C++ based web backend there is count as a valid comparison in my book. But comparing the languages itself is maybe a bit off.
On a side note, you can actually compare their performance here if you’re really curious. But take it with a grain of salt since these are synthetic benchmarks.
https://www.techempower.com/benchmarks
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API: Go, .NET, Rust
Most benchmarks you'll find essentially have someone's thumb on the scale (intentionally or unintentionally). Most people won't know the different languages well enough to create comparable implementations and if you let different people create the implementations, cheating happens. The TechEmpower benchmarks aren't bad, but many implementations put their thumb on the scale (https://www.techempower.com/benchmarks). For example, a lot of the Go implementations avoid the GC by pre-allocating/reusing structs or allocate arrays knowing how big they need to be in advance (despite that being against the rules). At some point, it becomes "how many features have you turned off." Some Go http routers (like fasthttp and those built off it like Atreugo and Fiber) aren't actually correct and a lot of people in the Go community discourage their use, but they certainly top the benchmarks. Gin and Echo are usually the ones that are well-respected in the Go community.
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Rage: Fast web framework compatible with Rails
There is certainly a lot of speculation in Techempower benchmarks and top entries can utilize questionable techniques like simply writing a byte array literal to output stream instead of constructing a response, or (in the past) DB query coalescing to work around inherent limitations of the DB in case of Fortunes or DB quries.
And yet, the fastest Ruby entry is at 274th place while Rails is at 427th.
https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...
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Node.js – v20.8.1
oh what machine? with how many workers? doing what?
search for "node" on this page: https://www.techempower.com/benchmarks/#section=data-r21
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Strong typing, a hill I'm willing to die on
JustJS would like a word https://www.techempower.com/benchmarks/#section=data-r20&tes...
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Rust vs Go: A Hands-On Comparison
In terms of RPS, this web service is more-or-less the fortunes benchmark in the techempower benchmarks, once the data hits the cache: https://www.techempower.com/benchmarks/#section=data-r21
Or, at least, they would be after applying optimizations to them.
In short, both of these would serve more rps than you will likely ever need on even the lowest end virtual machines. The underlying API provider will probably cut you off from querying them before you run out of RPS.
What are some alternatives?
MyBatis - MyBatis SQL mapper framework for Java
zio-http - A next-generation Scala framework for building scalable, correct, and efficient HTTP clients and servers
high-performance-java-persistence - The High-Performance Java Persistence book and video course code examples
drogon - Drogon: A C++14/17 based HTTP web application framework running on Linux/macOS/Unix/Windows [Moved to: https://github.com/drogonframework/drogon]
JDBI - The Jdbi library provides convenient, idiomatic access to relational databases in Java and other JVM technologies such as Kotlin, Clojure or Scala.
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
jodd-json - JSON Java serializer and parser.
LiteNetLib - Lite reliable UDP library for Mono and .NET
nanohttpd - Tiny, easily embeddable HTTP server in Java.
C++ REST SDK - The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to and interact with services.
Ebean ORM - Ebean ORM
SQLBoiler - Generate a Go ORM tailored to your database schema.