SAP ABAP and Core Data Services (CDS), static dependency refers to the association between different CDS views or data elements at the design-time, during the activation of CDS objects. This association helps determine the data retrieval path and the underlying database join conditions.
When it comes to performance considerations, static dependencies play a crucial role. If not managed properly, they can impact the performance of CDS queries and overall system performance. Here are some factors to consider regarding static dependency and its impact on CDS performance:
Join Conditions: When you define associations between CDS views using associations or associations with join conditions, the database joins are established based on these associations. Incorrect join conditions or excessive joins can lead to performance bottlenecks, especially when dealing with large datasets.
Data Model Design: Designing a proper data model with the right level of granularity is essential. Overuse of CDS views, complex joins, or unnecessary associations may result in poor performance due to increased data retrieval time.
Data Volume: The volume of data being fetched by a CDS query can affect performance. When querying large datasets, ensure that the CDS view is optimized to fetch only the required fields and data to minimize the impact on performance.
Indexing: Ensuring that the underlying database tables have appropriate indexes can significantly improve the performance of CDS queries. Indexes help to speed up data retrieval and filtering operations.
Code Pushdown: Utilize the concept of "code pushdown" to offload certain operations from the application layer to the database layer. Code pushdown allows critical data processing tasks to be performed directly in the database, improving overall query performance.
Query Analysis: Use the SAP ABAP Performance Monitor (transaction SAT) or SQL Trace (transaction ST05) to analyze the execution plan of the CDS queries. It helps identify potential performance bottlenecks and optimize the CDS views accordingly.
Buffering: Use buffering techniques, such as ABAP shared memory or database-level caching, to store frequently accessed data in memory, reducing the database read operations and enhancing query performance.
Selective Data Fetch: If your CDS view includes associations, ensure you implement selective data fetching using WHERE conditions to limit the number of rows retrieved.
By addressing these performance considerations and optimizing the CDS views and data models, you can improve the overall performance of CDS queries and minimize the impact of static dependencies on your SAP ABAP system.