spring-data-jpa-mongodb-expressions
jasync-sql
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| spring-data-jpa-mongodb-expressions | jasync-sql | |
|---|---|---|
| 6 | 1 | |
| 91 | 1,619 | |
| - | 0.6% | |
| 4.1 | 6.9 | |
| 18 days ago | 6 months ago | |
| Java | Kotlin | |
| Apache License 2.0 | Apache License 2.0 |
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spring-data-jpa-mongodb-expressions
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Spring Data JPA MongoDB Expressions
spring-data-jpa-mongodb-expressions allows you to use the MongoDB query syntax to query your relational database. This is especially useful to build a dynamic search from the frontend app (a common case in business apps).
- mhewedy/spring-data-jpa-mongodb-expressions
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Using MongoDB query syntax to query Relational Database in Java
There’s a specific use-case that exists in most applications which is the need to make the user search by multiple criteria for an entity and its related associations. This is where Spring Data JPA Mongodb Expressions excels.
- Spring Data JPA MongoDB expressions
jasync-sql
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Java virtual threads caused a deadlock in TPC-C for PostgreSQL
Was curious what it is "jasync". And man it hurts me to see documentation like this (when compared to classic javadocs)
https://github.com/jasync-sql/jasync-sql/wiki/API-Overview
From project WIKI (https://github.com/jasync-sql/jasync-sql/wiki)
What are some alternatives?
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Ktorm - A lightweight ORM framework for Kotlin with strong-typed SQL DSL and sequence APIs.
Apache Calcite - Apache Calcite
Exposed - Kotlin SQL Framework
QueryStream - Build JPA Criteria queries using a Stream-like API
kt-postgresql-async - Kotlin 1.1 async clients for sync protocols: Mysql, Postgres, Thrift, Http
Leaf - Distributed ID Generate Service
requery - requery - modern SQL based query & persistence for Java / Kotlin / Android
Apache Drill - Apache Drill is a distributed MPP query layer for self describing data
potassium-nitrite
Modality - Model Layer Implementation for a J2EE Pull MVC WebApp
MapDB - MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.