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Box is an add-on framework for Java applications that performs asynchronous gathering of source data with subsequent processing or transformation of that data into output JSON documents and exposing those documents through a web API. Box excels at maintaining existing documents including keeping them up-to-date in real time and deleting them when required. Box supports aggregating data from multiple sources as well as splitting data into multiple documents. How documents are processed is left up to each application. The web api makes the documents available by ID or by harvesting all documents. Harvests can be filtered using facets and documents can be pared down by requesting only needed fields.

This Lutra submodule provides a common framework that other submodules in Lutra use and extend. It includes an implementation of OTTR's data model with classes for templates, instances, types, etc.; a system for handling results and error messages; core interfaces and abstract classes for streamed pipelines for parsing and writing templates and instances; as well as implementation of the TemplateStore, a container for templates, with algorithms for checking correctness of templates and expanding and checking correctness of instances. Lutra is the reference implementation of the OTTR framework. For more information about OTTR, see http://ottr.xyz.

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.