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    • 3. 发明授权
    • Transformational context-aware data source management
    • 转型上下文感知数据源管理
    • US08863082B2
    • 2014-10-14
    • US13226679
    • 2011-09-07
    • Anson An-Chun TsaoYang CaoPusheng Zhang
    • Anson An-Chun TsaoYang CaoPusheng Zhang
    • G06F9/44G06F9/445
    • G06F8/71G06F8/447G06F9/44505
    • 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.
    • 通过为多个数据源使用相同的源代码来帮助本地,群集和云执行之间的移植。 源代码中记载的数据源标识符映射到不同执行目标的数据源。 适用于连续目标的执行代码使用解决方案API生成,而无需更改开发人员的源代码。 可编辑的数据源映射是每项目,维护在文件或项目属性中,并放置在具有可执行代码的可分发软件包中。 负责开发人员确定其源代码中的执行目标,并明确处理源代码中的不同执行位置。 源代码可以免除绝对路径数据源标识符或代码来检测执行位置。 源代码转换注入呼叫以创建文件夹,文件或云容器。 数据源分辨率可以基于以数据源标识符为根的相对路径。
    • 4. 发明申请
    • TRANSFORMATIONAL CONTEXT-AWARE DATA SOURCE MANAGEMENT
    • 变革后果数据源管理
    • US20130061208A1
    • 2013-03-07
    • US13226679
    • 2011-09-07
    • Anson An-Chun TsaoYang CaoPusheng Zhang
    • Anson An-Chun TsaoYang CaoPusheng Zhang
    • G06F9/44
    • G06F8/71G06F8/447G06F9/44505
    • 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.
    • 通过为多个数据源使用相同的源代码来帮助本地,群集和云执行之间的移植。 源代码中记载的数据源标识符映射到不同执行目标的数据源。 适用于连续目标的执行代码使用解决方案API生成,而无需更改开发人员的源代码。 可编辑的数据源映射是每项目,维护在文件或项目属性中,并放置在具有可执行代码的可分发软件包中。 负责开发人员确定其源代码中的执行目标,并明确处理源代码中的不同执行位置。 源代码可以免除绝对路径数据源标识符或代码来检测执行位置。 源代码转换注入呼叫以创建文件夹,文件或云容器。 数据源分辨率可以基于以数据源标识符为根的相对路径。