Abstract:
Techniques are disclosed relating to database techniques for storing metadata for web applications. In some embodiments, manageable state information indicates whether certain entities (e.g., developers or subscribers) are allowed to edit particular fields (e.g., upon installing a version of an application package or when updating a package to a new version). In some embodiments, the manageable state information is stored separately from the corresponding metadata, which may avoid a need to query the metadata to determine manageable state and may allow validation of manageable state rules upon insertion of metadata into a new organization. In some embodiments, a short-lived build organization may facilitate validation of updates to web application packages.
Abstract:
A method for data partitioning method includes defining a set of category levels associated with a plurality of entities stored within a first database, wherein the set of category levels is hierarchical (e.g., proceeding from higher to lower levels). Each of the plurality of entities is assigned to a category level within the set of category levels. One or more partition keys are defined for at least one of the category levels. The plurality of entities are then copied to a second database based on the set of category levels and the one or more partition keys.
Abstract:
Methods and systems are provided for debugging application code in an on demand environment. The method includes executing the code on a server in the on demand environment; identifying a first location within the code having a suspected error; defining a first check point within the code corresponding to the first location; subsequently re-executing the code, including the first check point, on the server; creating a memory dump corresponding the first check point during re-execution of the code; and debugging the code based on the heap dump without suspending subsequent re-execution of the code.
Abstract:
Distributed version control systems, methods, and computer-readable media are described. A computer system may implement a version control blockchain system by obtaining source code and/or an artifact associated with source code. The computer system may serialize the source code and/or the artifact to obtain serialized data, and may encipher the serialized data to obtain a current block identifier (cb_id). The computer system may generate a block to include the cb_id, and may add the generated block to the version control blockchain upon validation of the block. Other embodiments may be described and/or claimed.
Abstract:
A method for data partitioning method includes defining a set of category levels associated with a plurality of entities stored within a first database, wherein the set of category levels is hierarchical (e.g., proceeding from higher to lower levels). Each of the plurality of entities is assigned to a category level within the set of category levels. One or more partition keys are defined for at least one of the category levels. The plurality of entities are then copied to a second database based on the set of category levels and the one or more partition keys.
Abstract:
Techniques are disclosed relating to database techniques for storing metadata for web applications. In some embodiments, manageable state information indicates whether certain entities (e.g., developers or subscribers) are allowed to edit particular fields (e.g., upon installing a version of an application package or when updating a package to a new version). In some embodiments, the manageable state information is stored separately from the corresponding metadata, which may avoid a need to query the metadata to determine manageable state and may allow validation of manageable state rules upon insertion of metadata into a new organization. In some embodiments, a short-lived build organization may facilitate validation of updates to web application packages.
Abstract:
Methods and systems are provided for debugging application code in an on demand environment. The method includes executing the code on a server in the on demand environment; identifying a first location within the code having a suspected error; defining a first check point within the code corresponding to the first location; subsequently re-executing the code, including the first check point, on the server; creating a memory dump corresponding the first check point during re-execution of the code; and debugging the code based on the heap dump without suspending subsequent re-execution of the code.