spring-data-relational
rupy
spring-data-relational | rupy | |
---|---|---|
11 | 31 | |
728 | 136 | |
-0.4% | - | |
9.1 | 1.1 | |
7 days ago | about 1 year ago | |
Java | Java | |
Apache License 2.0 | - |
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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.
rupy
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Considerations for a long-running Raspberry Pi
I have been running a Raspberry 2 cluster for 10 years: http://host.rupy.se
A few weeks back the first SD card to fail got so corrupted it failed to reboot!
My key learning is use oversized cards, because then the bitcycle will wear slower!
I'm going from 32GB to 256/512/1024!
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What Kind of Asynchronous Is Right for You?
How this article does not mention SSE, comet or chunking escapes me.
What does their definition of event-driven really look like in practice.
Nobody has a clue.
Here is the ideal event driven system, it's async-to-async: https://github.com/tinspin/rupy/wiki/Fuse
The example is not working because I had to shut down the services for multiple reasons, but the high level of it is that you use 4 (potentially different) threads to do one request/response middle man transaction.
That way you have _zero_ io-wait or idling. I'm surprised nobody has copied this approach since I invented it 10 years ago. I understand why though you need your entire chain to be async and that means rewriting everything and that is a big risk when it's hard to debug.
But if you succeed you can build something that is 10x perf/watt than all other implementations. Which is going to be important when interest rates go higher and crash our entire industry.
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An unknown Swedish startup’s €3B bid to build a green rival to AWS
The hardware is peaking.
So software is where you can make the difference: http://host.rupy.se
- Sandstorm: Open-source platform for self-hosting web app
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You Want Modules, Not Microservices
I think we're all confused over the definition. Also one might understand what all the proponents are talking about better if they think about this more as a process and not some technological solution:
https://github.com/tinspin/rupy/wiki/Process
All input I have is you want your code to run on many machines, in fact you want it to run the same on all machines you need to deliver and preferably more. Vertically and horizontally at the same time, so your services only call localhost but in many separate places.
This in turn mandates a distributed database. And later you discover it has to be capable of async-to-async = no blocking ever anywhere in the whole solution.
The way I do this is I hot-deploy my applications async. to all servers in the cluster, this is what a cluster node looks like in practice (the name next to Host: is the node): http://host.rupy.se if you click "api & metrics" you'll see the services.
With this not only do you get scalability, but also redundancy and development is maintained at live coding levels.
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I wish my web server were in the corner of my room
I have hosted my own web server both physically and codevise since 2014.
It's on a Raspberry 2 cluster:
http://host.rupy.se
Since 2016 i have my own database also coded from scratch:
http://root.rupy.se
We need to implement HTTP/1.1 with less bloat, a C non-blocking web server that can share memory between threads is probably the most interesting project for humans right now, is anyone working on that?
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Ask HN: Free and open source distributed database written in C++ or C
I have one in Java: https://github.com/tinspin/rupy
Here is the 2000 lines of code of the entire database: http://root.rupy.se/code?path=/Root.java
And here you can try it out: http://root.rupy.se
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Dokku – Free Heroku Alternative
The smallest PaaS you have ever seen is one order of magnitude larger than mine: https://github.com/tinspin/rupy
And I bet you the same goes for performance, if not two!
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Server-Sent Events: the alternative to WebSockets you should be using
The data is here: http://fuse.rupy.se/about.html
Under Performance. Per watt the fuse/rupy platform completely crushes all competition because of 2 reasons:
- Event driven protocol design, averages at about 4 messages/player/second (means you cannot do spraying or headshots f.ex. which is another feature in my game design opinion).
- Java's memory model with atomic concurrency which needs a VM and GC (C++ copied that memory model in C++11, but it failed completely because they lack both VM and GC, but that model is still to this day the one C++ uses), you can read more about this here: https://github.com/tinspin/rupy/wiki
You can argue those points are bad arguments, but if you look at performance per watt with some consideration for developer friendlyness, I'm pretty sure in 100 years we will still be coding minimalist JavaSE on the server and vanilla C (compiled with C++ compiler) on the client.
- Jodd – The Unbearable Lightness of Java
What are some alternatives?
MyBatis - MyBatis SQL mapper framework for Java
huproxy
high-performance-java-persistence - The High-Performance Java Persistence book and video course code examples
cmdg - Command line Gmail client
JDBI - The Jdbi library provides convenient, idiomatic access to relational databases in Java and other JVM technologies such as Kotlin, Clojure or Scala.
Nullboard - Nullboard is a minimalist kanban board, focused on compactness and readability.
jodd-json - JSON Java serializer and parser.
cakephp-swagger-bake - Automatically generate OpenAPI, Swagger, and Redoc documentation from your existing CakePHP code.
nanohttpd - Tiny, easily embeddable HTTP server in Java.
dbmate - :rocket: A lightweight, framework-agnostic database migration tool.
Ebean ORM - Ebean ORM
Aerospike - Aerospike Database Server – flash-optimized, in-memory, nosql database