Abstract: A data access request for data that is provided from a data provider corresponding to an external data source. The data access request is transformed into a call supported by the external computing system. Data that is responsive to the call is received in a form provided by the external computing system, and the data is transformed into a form expected by the native system. The transformed data is returned to the requestor through the API.

Abstract: An enterprise resource planning (ERP) system provides efficient maintenance and upgrade of tenant databases utilizing shared schema. A schema change is propagated from a master to tenants. Support is provided for tenants to be offline. The schema changes are applied at a mount time. Server load associated with the ERP database is distributed when tenant databases are updated with new schema changes. Changes to the application metadata (table schemas) is detected and applied to multiple tenants at a runtime.

Abstract: A debugging tool is provided that is capable of recording code paths taken during a program's execution, and along the way capture the memory state at configurable points in time such as function exits or statements. The tool also records interactions with external systems like a database, and captures which statements resulted in interactions with these systems. An analysis of the output of the debugging tool enables a developer to understand which part of the code executed; what the value of relevant variables were at configurable points in time; and which code statements correlate to which interactions with external systems.

Abstract: A debugging tool is provided that is capable of recording code paths taken during a program's execution, and along the way capture the memory state at configurable points in time such as function exits or statements. The tool also records interactions with external systems like a database, and captures which statements resulted in interactions with these systems. An analysis of the output of the debugging tool enables a developer to understand which part of the code executed; what the value of relevant variables were at configurable points in time; and which code statements correlate to which interactions with external systems.