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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.

Dryuf Concurrent is enhancement over original Java Concurrent Future design. Apart from providing ListenableFuture functionality, it provides flexibility how to handle cancel() operations, can delay the notifications. It allows various types of notification listeners, distinguishing among successful end, failure and end due to cancel request. Last but not least, it has very low memory footprint and excellent performance, even outperforming JDK Future without listener support.