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The problem is not limited to the modification of the schema. It, in fact, affects the data stored under the given schema and the queries (and thus the applications) posed on that schema. A database design is sometimes created as a "as of now" instance and thus schema evolution is not considered.
A deferred page is recorded in the database with a "defer" level, and whenever an edit to a page with "defer" level is reviewed, the config is reset. So this implements the "defer until reviewed" concept. No change in the db schema is needed. For AbuseFilter, two custom actions are added to defer passively or actively.
The intent of deferred revisions is to provide a way to delay the visibility of edits that have been flagged for deferral by the edit filter until they have been accepted or reverted by a reviewer. This implementation proposal attempts to use the FlaggedRevs and AbuseFilter features together in order to achieve that goal in an integrated way ...
All deferred edits would appear at Special:PendingChanges, which would provide the option to list only those actively deferred or from pending changes-protected pages, and could be reviewed by pending changes reviewers. When the page has a single author, and the edits can therefore not be deferred, it would be listed on a dedicated special page.
The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).
A database refactoring is a simple change to a database schema that improves its design while retaining both its behavioral and informational semantics. Database refactoring does not change the way data is interpreted or used and does not fix bugs or add new functionality. Every refactoring to a database leaves the system in a working state ...
For example, a $100,000 premium on an immediate annuity may only generate $6,000 to $10,500 a year in lifetime payments, depending on how old you are when you sign your contract.
A conventional database cannot work under these circumstances because the inconsistencies between the real world objects and the data that represents them are too severe for simple modifications. An effective system needs to be able to handle time-sensitive queries, return only temporally valid data, and support priority scheduling.