massuppdatering

Massuppdatering is the process of applying the same change or set of changes to a large number of records or data entries simultaneously. The term is commonly used in database management, data warehousing, and content management systems, where updates such as correcting a typo, standardising a format, or changing a status flag need to be applied uniformly across many items.

The primary purpose of massuppdatering is to improve efficiency and consistency. Manual changes to each record would be time‑consuming, prone to error, and difficult to track. By executing a single operation that targets multiple rows, administrators can guarantee that all relevant data reflects the desired state at the same point in time.

Typical methods involve using SQL UPDATE statements with a WHERE clause that identifies the affected rows, or employing application code that iterates over a collection and writes changes in bulk. Many relational database systems offer bulk update features, including transaction support and rollback.

In practice, massuppdatering is also employed in GIS systems for re‑classifying layers, in e‑commerce platforms for adjusting prices, and in customer relationship management applications for updating contact preferences. Workflow tools and scripts often record the operation in audit logs to maintain accountability and enable reversal if necessary.

When planning a massuppdatering, it is advisable to back up the affected data, test the update on a subset or staging environment, and monitor performance metrics. Proper indexing of the target columns ensures the operation remains efficient, especially for tables with millions of rows.