Reindexálás

Reindexálás is the process of recreating or updating index structures in computer systems, notably in databases, search engines, and file systems. The purpose is to restore optimal query performance and accuracy after data modifications, corruption, or system upgrades. It is an essential maintenance task in any environment that relies on indexed data for fast retrieval.

In relational database management systems, reindexálás is typically performed on tables that have undergone significant updates, deletes, or structural changes. Indexes—created on primary keys, foreign keys, or frequently queried columns—can become fragmented, causing slower access times. Rebuilding or reorganizing these indexes consolidates data blocks, reduces fragmentation, and may improve transaction throughput. Most database vendors provide built‑in utilities, such as ALTER INDEX REBUILD in SQL Server or REINDEX for PostgreSQL, to carry out the operation with minimal impact on active workloads.

Search engines and full‑text indexers also use reindexálás to update the mapping between queries and the underlying documents. When new content is added, older documents are modified, or relevancy algorithms change, a reindex is required to reflect the latest state. This ensures that search results remain accurate and that ranking signals are applied to the newest data set.

File systems and distributed storage platforms perform reindexálás to maintain directory structures, inodes, or metadata caches. After large file system changes—such as data migration, deletion, or file system checks—a reindex can correct inode chains and improve lookup speeds for both local and networked clients.

Overall, reindexálás is a routine but critical operation that keeps data retrieval efficient, reduces latency, and upholds data integrity across various computing platforms. Regular scheduling of reindexing, combined with monitoring for index health metrics, helps prevent performance degradation and ensures system reliability.