Optimizing Random Row Selection in Large MySQL Tables
Efficiently retrieving a single random row from a large MySQL table is vital for many applications. A common approach involves fetching all row IDs, randomly choosing one, and then retrieving the corresponding row.
For tables with sequential IDs and no gaps, finding the maximum ID and generating a random ID within that range provides a fast solution. However, if gaps exist but are relatively infrequent, a slightly less random but still practical method is to estimate the gap count, obtain the maximum ID, calculate a random ID, and retrieve the first row with an ID greater than or equal to the calculated value.
Crucially, avoid using ORDER BY RAND()
for random row selection. This method often results in a full table scan, defeating the purpose of quick retrieval. Similarly, using GUIDs for ordering is equally inefficient.
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