What is the recommended approach to optimize queries in SAP HANA?

The recommended approach to optimize queries in SAP HANA involves applying indexes, proper data modeling, and avoiding complex joins whenever possible. This method is effective because:

• Indexes: While SAP HANA predominantly employs in-memory computing, leveraging indexes can still be beneficial for specific types of queries. Indexes can drastically reduce the amount of data that needs to be scanned, enhancing query performance.

• Proper Data Modeling: Data modeling is crucial in a database environment. In SAP HANA, well-structured data models, such as star or snowflake schemas, can facilitate more efficient data retrieval by organizing data in a way that reduces the complexity of queries. Efficient data models mitigate data redundancy and promote clarity in relationships.

• Avoiding Complex Joins: Complex joins can significantly degrade performance, especially when dealing with large datasets. By simplifying queries and minimizing the use of joins, queries can be executed faster. Instead of complex joins, you can redesign the data model or leverage calculated columns to consolidate information without the need for extensive joins.

The combination of these strategies ensures that queries are not only fast but also efficient in their resource utilization, making it the optimal choice for query optimization in SAP HANA.