In an explain statement, which column represents the percentage of rows filtered by the table condition?

The "Filtered" column in an explain statement indicates the percentage of rows that were filtered based on the specified table condition during the execution of a query. This statistic provides valuable insight into the effectiveness of a query’s conditions in narrowing down the result set from the total number of rows in the table.

For example, if you have a large dataset and your filtering conditions only match a small percentage of rows, the "Filtered" column helps you understand how many rows were actually kept after applying those conditions. This can inform performance tuning, as a low percentage might suggest that your query could be optimized further to improve efficiency.

By focusing on the "Filtered" column, developers can evaluate query performance more deeply, learning how well their conditions are performing in terms of returning relevant data without scanning unnecessary rows. Understanding this enables better data management practices and can enhance application performance.