Download JAR files tagged by database with all dependencies

The Spark Universal Migrator is a data migration Spark application that fetches data from an Oracle database and stores it in a Hive database. It utilizes JDBC to connect to Oracle, processes and converts the data into a Hive-compatible schema, and then transfers it to Hive. The migration process employs iterators to generate queries for data retrieval and utilizes a BlockingQueue in conjunction with a ThreadPoolExecutor for parallel processing of data. Additionally, the application incorporates an Oracle connection pool to efficiently manage and reuse database connections, further optimizing performance and resource utilization during the migration process.

A tool for data backup and consistency. Architecture and technologies: + the classic three-tier architecture is used: Model, DAO, Presentation; + [Spring 6 / Spring Boot 3](https://spring.io/) is the reference framework; + [SQLite](https://sqlite.org/) is the underlying database; + [Spring Data JPA](https://docs.spring.io/spring-data/jpa/docs/current/reference/html/) with [Hibernate](https://hibernate.org/) is used as ORM; + JPA entities are separated objects; + `Finder` and DCI roles from [TheseFoolishThings](http://tidalwave.it/projects/thesefoolishthings) are used; + [SLF4J](https://slf4j.org) and [Logback](https://logback.qos.ch) are used for logging; + [TestNG](https://testng.org) and [Mockito](https://site.mockito.org/) are used for testing; + [Lombok](https://projectlombok.org) is used for cleaner code.