What impact does max_seeks_for_key have on query performance

Impact on Query Performance

When `max_seeks_for_key` is set to a low value, the optimizer is more likely to choose a query plan that uses indexes efficiently, which can lead to better query performance. However, if the value is set too low, the optimizer may choose a plan that does not use indexes effectively, leading to slower query performance.

Best Practices

1. Set `max_seeks_for_key` to a reasonable value: Set this variable to a value that is appropriate for your workload. For example, if you have a large table with a high number of rows, you may want to set this variable to a higher value to allow the optimizer to use indexes more effectively.

2. Monitor query performance: Monitor query performance and adjust `max_seeks_for_key` as needed to optimize query performance.

3. Use indexes effectively: Ensure that indexes are used effectively by creating indexes on columns that are frequently used in WHERE and JOIN clauses.

4. Optimize query execution: Optimize query execution by using efficient query execution plans and minimizing the number of seeks performed by the optimizer.

5. Consider schema optimization: Consider schema optimization to improve query performance by reducing the number of seeks and improving index usage.

Example Configuration

Here is an example configuration for `max_seeks_for_key`:

sql
SET GLOBAL max_seeks_for_key = 1000;