Ques:
Your business has said that there is a query that is designed on ReaL Time ADSO.
Due to frequent Read and Write operations, the query performance has become slow.
What could be the techniques you can take, to optimize the performance of the query?
Ans:
If we face performance degradation in a query based on a real-time ADSO due to frequent read and write operations, there are several optimization techniques that we can perform on top of them, to improve both real-time data processing and query runtime.
Here are a few of them:
-Leverage HANA’s im-memory processing & optimization capabilities which include appropriate partitioning, indexing, and compression of data.
-We can also make sure all the logic can be pushed down to the HANA layer instead of the BW layer. This will help in speeding up the query response time.
-Use the concept of columnar storage for highly efficient read-heavy operations.
-Frequent writing operations in real-time ADSO can also slow down the performance, especially if the volume of the historical data is too high or increased. Thus, implementing the aging strategy or archiving the older data will definitely help.
-Pre-aggregations will definitely help to summarize the data into smaller datasets before reaching the reporting layer.
-Optimize the delta loads to minimize the data being loaded at once. Use the concept of incremental loads or write an optimization concept to keep the volume of the data manageable.
-Parallel processing of the data loads can be worked on, to minimize system resource contention.
-We can also use the concept of ODP – Operational Data Provisioning for real-time data extraction, optimizing the data flow for efficient query execution.
-Optimizing the query design by minimizing the complex calculations and using proper filters.
-Consider a layered approach, where the RT DSO is used for real-time updates, and a standard DSO is used for reporting if real-time data is not always necessary.
-Schedule periodic index rebuilding to ensure optimal read performance.
By using the above approaches and techniques, we can properly improve the query performance even when frequent read and write operations happen on real-time ADSOs.
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