JDBI
spring-data-relational
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JDBI | spring-data-relational | |
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27 | 11 | |
1,901 | 728 | |
0.8% | 0.4% | |
9.4 | 9.1 | |
10 days ago | about 21 hours ago | |
Java | Java | |
Apache 2.0 license | Apache License 2.0 |
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JDBI
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Permazen: Language-natural persistence to KV stores
While this may work for greenfield applications, I don't see this working well for preexisting schemas. From their getting started page: "Database fields are automatically created for any abstract getter methods", which definitely scares me away since they seem to be relying on automatic field type conversions.
I prefer to manage my schemas when I can and do type and DAO conversions via mapper classes in the very simple and elegant JDBI framework where you write SQL annotations above your DAO methods https://jdbi.org/#_declarative_api
JDBI does wonders for wonky old schemas you've inherited, since joins etc work out of the box (just throw them in your annotations!) The annotations can also link to .SQL files for the big hairy queries.
All these "do magic" frameworks (hibernate being one of the first) work in the simple cases but then fall apart whenever you need to do anything complex/not-prescribed. I end up having to dig into the internals of the framework to see what's going wrong which negates their whole value add.
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Is ORM still an anti-pattern?
> I've been doing ORM on Java since Hibernate was new, and it has always sucked.
Have you ever looked at something like myBatis? In particular, the XML mappers: https://mybatis.org/mybatis-3/dynamic-sql.html
Looking back, I actually quite liked it - you had conditionals and ability to build queries dynamically (including snippets, doing loops etc.), while still writing mostly SQL with a bit of XML DSL around it, which didn't suck as much as one might imagine. The only problem was that there was still writing some boilerplate, which I wasn't the biggest fan of.
Hibernate always felt like walking across a bridge that might collapse at any moment (one eager fetch away from killing the performance, or having some obscure issue related to the entity mappings), however I liked tooling that let you point towards your database and get a local set of entities mapped automatically, even though codegen also used to have some issues occasionally (e.g. date types).
That said, there's also projects like jOOQ which had a more code centric approach, although I recall it being slightly awkward to use in practice: https://www.jooq.org/ (and the autocomplete killed the performance in some IDEs because of all the possible method signatures)
More recently, when working on a Java project, I opted for JDBI3, which felt reasonably close to what you're describing, at the expense of not being able to build dynamic queries as easily, as it was with myBatis: https://jdbi.org/
That said, with the multi-line string support we have in Java now, it was rather pleasant regardless: https://blog.kronis.dev/tutorials/2-4-pidgeot-a-system-for-m...
I don't think there's a silver bullet out there, everything from lightweight ORMs, to heavy ORMs like Hibernate, or even writing pure SQL has drawbacks. You just have to make the tradeoffs that will see you being successful in your particular project.
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Sketch of a Post-ORM
I found JDBi[1] to be a really nice balance between ORM and raw SQL. It gives me the flexibility I need but takes care of a lot of the boilerplate. It's almost like a third category.
1. http://jdbi.org
- Is it just me, or does the Spring Framework lead to hard-to-maintain code and confusion with annotations?
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Can someone tell me a good resource to learn and practice JDBC in java?
You could use something like jdbi or mybatis. It's not as ugly as raw jdbc and easier to use without all of the gunk from an ORM like hibernate.
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Which JVM Language Would You Choose for a New Server-Side Project?
We use JDBI. Very simple and lightweight. It uses an object mapper not a full fledged ORM.
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Why people don't like Java?
Alternatively there are... hybrid solutions like Kotlin's https://github.com/JetBrains/Exposed or https://jdbi.org/ that don't quite... do all the heavy lifting for querying but allow you to sorta stitch queries together manually.
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Top 5 Server-Side Frameworks for Kotlin in 2022: Micronaut
As seems that Micronaut does not include anything similar by default, we use JDBI and that SQL to retrieve one random greeting from the greetings table.
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Fiz um mapa interativo com os resultados do segundo turno do STE com postgres (+postgis) e openlayers
Ah! E sobre o que eu usei no backend, alem de postgres e fly.io, o backend eh eh Java, usando um framework chamado quarkus e jdbi pra fazer a interface com o banco.
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Is JDBC becoming a “legacy” API??
More personally, I'm not much an ORM guy. I've just never found that the benefits outweigh the costs, but that's just my opinion. That said, I don't use JDBC directly in my own projects anymore, strongly preferring to use JDBI instead. I find that it walks the line between "make using the database easier" and "get between you and the database" beautifully. But there's not a darn thing wrong with using JDBC directly.
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.
What are some alternatives?
jOOQ - jOOQ is the best way to write SQL in Java
MyBatis - MyBatis SQL mapper framework for Java
Spring Data JPA - Simplifies the development of creating a JPA-based data access layer.
high-performance-java-persistence - The High-Performance Java Persistence book and video course code examples
HikariCP - 光 HikariCP・A solid, high-performance, JDBC connection pool at last.
jodd-json - JSON Java serializer and parser.
sql2o - sql2o is a small library, which makes it easy to convert the result of your sql-statements into objects. No resultset hacking required. Kind of like an orm, but without the sql-generation capabilities. Supports named parameters.
nanohttpd - Tiny, easily embeddable HTTP server in Java.
Querydsl - Unified Queries for Java
Ebean ORM - Ebean ORM
Flyway - Flyway by Redgate • Database Migrations Made Easy.
rupy - HTTP App. Server and JSON DB - Shared Parallel (Atomic) & Distributed