Does indexing efficiency remain when data grows, especially if their volume increases unevenly over time?

The efficiency of indexing as data grows depends on several factors, including the type of index, data structure, and the nature of the volume growth.

If the data volume increases unevenly, for example, some parts of the data grow faster than others, this can lead to index fragmentation or uneven data distribution within the index, which reduces search efficiency.

However, modern database management systems and data structures are usually optimized to maintain index efficiency as data grows, using methods such as balancing, rebuilding, or updating indexes.

It is important to regularly maintain indexes (e.g., reindexing) to preserve their efficiency as the volume and distribution of data change.

Thus, indexing efficiency can decrease with uneven data growth if measures are not taken to maintain and optimize indexes.