https://github.com/rdbc-io/rdbc

Asynchronous database access for Scala and Java
https://github.com/rdbc-io/rdbc

asynchronous back-pressure database java reactive scala

Last synced: 15 days ago
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Asynchronous database access for Scala and Java

• Host: GitHub
• URL: https://github.com/rdbc-io/rdbc
• Owner: rdbc-io
• License: apache-2.0
• Created: 2016-09-16T15:07:10.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2018-11-06T04:00:32.000Z (about 7 years ago)
• Last Synced: 2023-07-26T23:21:35.809Z (over 2 years ago)
• Topics: asynchronous, back-pressure, database, java, reactive, scala
• Language: Scala
• Homepage: http://rdbc.io
• Size: 542 KB
• Stars: 79
• Watchers: 8
• Forks: 3
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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## What is rdbc?

rdbc is a SQL-level relational database connectivity API targeting Scala and 

Java programming languages. The API is fully asynchronous and provides

a possibility to leverage [Reactive Streams'](http://www.reactive-streams.org/)

stream processing capabilities.

## Documentation

See the documentation at [http://rdbc.io](http://rdbc.io).

## Goals

Following list outlines the goals of the API:

1. **Provide vendor neutral access to most commonly used database features.**

    The API is meant to be vendor neutral in a sense that if clients stick

    to using only standard SQL features no vendor-specific code should be needed

    and database backends can be switched with no client code changes.

2. **Be asynchronous and reactive.**

    All methods that can potentially perform I/O actions don't block the executing

    thread so the API fits well into non-blocking application design. rdbc

    allows building applications according to the [Reactive Manifesto](http://www.reactivemanifesto.org/)

    by using [Reactive Streams](http://www.reactive-streams.org/) for asynchronous

    streaming results with a back-pressure.

   

3. **Provide a foundation for higher-level APIs.**

    rdbc is a rather low-level API enabling clients to use plain SQL queries

    and get results back. While it can be used directly it's also meant to 

    provide a foundation for higher-level APIs like functional or object

    relational mapping libraries.