Temporal features

Liftwizard has built in support for working with temporal data In this section we ll explore the various features of services that utilize this technology Note This section is language and framework agnostic If youre interested in the underlying technology Liftwizard s temporal support is built on Reladomo In an application with temporal data storage data is stored along with timestamps Here are some key features of temporal support Non destructive edits Updates and deletes won t lose any information Old data is phased out with a timestamp and new data is phased in at the same timestamp As of queries Retrieve data as it existed at a specific point in time Versioning Numbered versions of data can make working with timestamps easier As of queries can be performed by either timestamp or version number Auditing Keep track of who made each change along with the data With auditing enabled each version has a user ID in addition to its timestamps Optimistic locking Prevent multiple users from accidentally discarding each other s work with this feature APIs that perform edits require a version number as input and will fail if the input version number and current version number don t match Diff See the differences between data at two version numbers Maker Checker workflows Make and review changes before exposing them to all users Most users view the latest approved version of the data while makers checkers see the latest version In the next section we ll walk through a running example that showcases these features