Abstract Systems and techniques for leveraging query executions to improve index
recommendations are described herein. In an example, a machine learning model is
adapted to receive a first query plan and a second query plan for performing a query with a
database, where the first query plan is different from the second query plan. The machine
learning model may be further adapted to determine execution cost efficiency between the
first query plan and the second query plan. The machine learning model is trained using …