kotlin-jpa-specification-dsl
This library provides a fluent DSL for querying spring data JPA repositories using spring data Specifications (i.e. the JPA Criteria API), without boilerplate code or a generated metamodel. (by consoleau)
Spring Data JPA
Simplifies the development of creating a JPA-based data access layer. (by spring-projects)
Our great sponsors
- Appwrite - The open-source backend cloud platform
- InfluxDB - Collect and Analyze Billions of Data Points in Real Time
- Onboard AI - Learn any GitHub repo in 59 seconds
| kotlin-jpa-specification-dsl | Spring Data JPA | |
|---|---|---|
| 1 | 20 | |
| 238 | 2,797 | |
| 0.0% | 1.4% | |
| 0.0 | 8.2 | |
| about 2 years ago | 4 days ago | |
| Kotlin | Java | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
kotlin-jpa-specification-dsl
Posts with mentions or reviews of kotlin-jpa-specification-dsl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-04.
-
What is the Specification Pattern
If you are using Kotlin, kotlin-jpa-specification-dsl provides a very convenient way to generate Specifications from KPropertys.
Spring Data JPA
Posts with mentions or reviews of Spring Data JPA.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-15.
-
The best way to use Spring Data query methods
There is a small typo on the second issue, I have tried opening a PR myself to fix it https://github.com/spring-projects/spring-data-jpa/pull/2869. I hope i haven't messed up something lol.
-
Build a Simple CRUD App with Spring Boot and Vue.js
data-jpa: Spring Data JPA, makes it easy to create JPA-based repositories
-
Spring Boot GraphQL API example
This repository is an example application for the Spring Boot framework that employs the Netflix DGS framework to expose a GraphQL API and that interacts with a PostgreSQL DBMS via Spring Data JPA.
-
Spring Boot – Black Box Testing
I'm using Spring Data JPA as a persistence framework. Therefore, those classes are Hibernate entities.
-
How do access sql through java in the real world?
If you go with hibernate note that there are a few different ways to use it. It can be used standalone and it can be used as a JPA implementation. If you use Spring and use hibernate as a JPA implementation then a popular Spring data layer abstraction is Spring Data which has JPA support with its Spring Data JPA library (https://spring.io/projects/spring-data-jpa)
-
Amazon Aurora’s Read/Write Capability Enhancement with Apache ShardingSphere-JDBC
ShardingSphere-JDBC provides read/write splitting features and it is integrated with application programs so that the complex configuration between application programs and database clusters can be separated from application programs. Developers can manage the Shard through configuration files and combine it with ORM frameworks such as Spring JPA and Mybatis to completely separate the duplicated logic from the code, which greatly improves the ability to maintain code and reduces the coupling between code and database.
-
What is a simple way to read from a Oracle DataBase and write to a text file, not using Spring Batch (but using Java)? Too complicated for Spring Batch.
"Spring Batch" is not the Spring technology to access databases conveniently. That would be "Spring Data" or even "Spring Data JPA": https://spring.io/projects/spring-data-jpa
-
Java Spring EventSourcing and CQRS Clean Architecture microservice 👋⚡️💫
In this project we have microservice events tore implemented using PostgreSQL,Spring Data JPA and Kafka, for projections used Spring Data MongoDB and communicate by REST.
-
Hibernate 6 has arrived
Be sure to check the recent Spring Boot 3.0 milestones for that. The updated Spring Data JPA 3.0 has not upgraded its build to Hibernate 6 yet as there a couple of changes in the latter that need adaption on our side, but you should be able to actually run on it already, if you tweak the dependencies to rather use the H6 artifacts. Would be awesome if you reported your findings on the ticket linked above.
What are some alternatives?
When comparing kotlin-jpa-specification-dsl and Spring Data JPA you can also consider the following projects:
MyBatis - MyBatis SQL mapper framework for Java
JDBI - The Jdbi library provides convenient, idiomatic access to relational databases in Java and other JVM technologies such as Kotlin, Clojure or Scala.
jOOQ - jOOQ is the best way to write SQL in Java
spring-data-r2dbc - Provide support to increase developer productivity in Java when using Reactive Relational Database Connectivity. Uses familiar Spring concepts such as a DatabaseClient for core API usage and lightweight repository style data access.
requery - requery - modern SQL based query & persistence for Java / Kotlin / Android
Hibernate - Hibernate's core Object/Relational Mapping functionality
Apache Cayenne - Mirror of Apache Cayenne
Exposed - Kotlin SQL Framework
blaze-persistence - Rich Criteria API for JPA providers
Presto - The official home of the Presto distributed SQL query engine for big data
Ebean ORM - Ebean ORM
Ktorm - A lightweight ORM framework for Kotlin with strong-typed SQL DSL and sequence APIs.