The introduction of SAP HANA may initially seem like a simple database migration for many companies. In reality, however, it represents much more than that: a complete shift in mindset regarding data handling, performance optimization, and ABAP development.
An SAP HANA migration alone can often result in significant performance improvements. However, the real benefits can only be fully utilized if the existing ABAP code is also adapted to the behavior of the new database.
HANA Is More Than a Simple Database Migration
In classic SAP R/3 systems, most business logic was executed on the ABAP application server. The database mainly served as a data storage component.
With SAP HANA, however, the database is no longer just a “passive” component. The goal is to move as much processing as possible directly to the database layer.
This is the “Code to Data” approach.
Previously:
- data was moved to the application layer for processing,
- today, processing is increasingly moved closer to the data itself.
This provides major performance advantages, especially when working with large amounts of data.
Common ABAP Problems on HANA
| Classic ABAP Pattern | Problem on HANA | Recommended Solution |
| SELECT * | unnecessary data transfer | select only required fields |
| DB operations inside loops | excessive DB access | array/bulk operations |
| SELECT without WHERE condition | full table scan | proper WHERE conditions |
| FOR ALL ENTRIES with empty table | full table read | IF NOT INITIAL check |
| Native SQL | database dependency | use Open SQL |
| Missing ORDER BY | non-deterministic result order | explicit ORDER BY |
Many of the issues above were already known before HANA, but their performance impact becomes much more visible on HANA systems. Reducing unnecessary data transfer, using proper WHERE conditions, and avoiding database operations inside loops are especially important.
Code Pushdown and Modern ABAP
One of the most important mindset changes introduced by HANA is the “Code to Data” approach.
To support this, several new technologies have been introduced:
- CDS Views,
- AMDP,
- modern Open SQL enhancements.
Their goals are:
- reduced data transfer,
- faster processing,
- improved scalability.
Runtime Monitoring and Optimization
Runtime analysis has become especially important in the HANA world.
SAP provides several tools for this purpose:
- SQL Monitor (SQLM),
- SQL Trace (ST05),
- SAT,
- SWLT,
- ABAP Test Cockpit (ATC).
These tools help identify performance bottlenecks and optimize database access.
Summary
SAP HANA migration is not only a database migration, but also a developer mindset transformation.
Today, the focus is on:
- minimizing data transfer,
- efficient SQL usage,
- database-side processing,
- and runtime-based optimization.
The real power of HANA becomes visible when we not only use the new database, but also adapt our development mindset to it.
