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jOOQ effectively combines complex SQL, typesafety, source code generation, active records, stored procedures, advanced data types, and Java in a fluent, intuitive DSL.

5.0
 
  0 reviews  |  6 users  |  337,309 lines of code  |  15 current contributors  |  Analyzed 8 days ago
 
 

BlackRay is a relational database system designed to offer performance features commonly associated with search engines. It offers SQL support and sophisticated operational and management features. Load-balancing and operational stability by means of N+1 redundance are included. BlackRay is ... [More] called a "Data Engine" since it combines traditional, relational database features and SQL with the power and flexibility of search engines. It is a true hybrid, offering transaction support, data-versioned snapshots, and sophisticated function-based indices. Wildcards, phonetic, and fuzzy logic searches are supported, as well. Commercial support is available, and the project is released under a the GPLv2 license. [Less]

0
 
  0 reviews  |  3 users  |  119,867 lines of code  |  2 current contributors  |  Analyzed over 1 year ago
 
 

Connect to various database running on different OS using a single driver.

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  0 reviews  |  0 users  |  0 current contributors  |  Analyzed 8 days ago
 
 

This is a database test generator for jdbc databases. The project is proposing to act as a test platform for various DB systems.

0
 
  0 reviews  |  0 users  |  0 current contributors
 
 

DataBaseliner is a tool that allows a self contained subset of data to be extracted from a database. By defining key seed data to extract and setting up relationships dataBaseliner will extract a slice of data from a source database that is completely referentially integral and output this as a SQL ... [More] script that can be run into development and test schemas. DataBaseliner is written using Java and jdbc to connect to databases, as such it can work with any database that provides a compliant jdbc driver. As different drivers and databases have different idiosyncrasies and requirements for SQL generation a flexible extension mechanism is used to add support for different databases. Support for each database is provided as a separate jar. DataBaseliner is configured using an xml document that defines how to connect to the database, what data to extract and how tables relate to each other. [Less]

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  0 reviews  |  0 users  |  3,955 lines of code  |  0 current contributors  |  Analyzed 7 days ago
 
 

Proyecto para el curso de LPII

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  0 reviews  |  0 users  |  0 current contributors  |  Analyzed 6 days ago
 
 
 
 

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