Abstract: Novel tools for updating data structures in a database are presented. In an aspect, the tools are used to update a database's structures in response to the update of an application (such as an enterprise application) that uses the database. In another aspect, the tools may convert a data set to a new format when the updated application attempts to access the data set; in some cases, other data sets within the database might remain unconverted until their use. Advantageously, this allows for a database (and/or a table within a database) to be updated incrementally and/or on demand. This feature can mitigate the impact of the update on users, for example, by avoiding the need to take the database (and/or application) offline to perform a batch process to update the database.

Abstract: Novel tools for updating data structures in a database. In an aspect, the tools are used to update a database's structures in response to the update of an application (such as an enterprise application) that uses the database. In another aspect, the tools may convert a data set to a new format when the updated application attempts to access the data set; in some cases, other data sets within the database might remain unconverted until their use. Advantageously, this allows for a database (and/or a table within a database) to be updated incrementally and/or on demand. This feature can mitigate the impact of the update on users, for example, by avoiding the need to take the database (and/or application) offline to perform a batch process to update the database.