TRANSFORMATIONAL CONTEXT-AWARE DATA SOURCE MANAGEMENT

摘要

Porting between local, cluster, and cloud execution is aided by using the same source code for multiple data sources. A data source identifier recited in source code maps to data sources at different execution targets. Executable codes tailored to successive targets are produced using a resolution API without changing the developer's source code. An editable data source mapping is per-project, maintained in a file or project property, and placed in a distributable software package with executable code. Burdens on developers to determine execution targets in their source code and explicitly handle different execution locations in the source code are reduced. Source code can be freed of absolute path data source identifiers or code for detecting execution location. Source-to-source translation injects calls to create a folder, file, or cloud container. Data source resolution can be based on a relative path rooted at the data source identifier.