Tips for Managing HANA Memory


We've had the opportunity to work with HANA both as a Startup porting our application to HANA as well as with our SAP customers running HANA in production scale BW or ECC environments. In the R&D environment we have limited hardware capacity and thus resources, especially memory is always a constraint, so we learnt ways to monitor, and automate to optimize our performance and use of the system. In the customers' production environment, we have seen original architecture plans double in nodes and/or memory before they even got to performance testing phase.

Here are a few simple tips to manage the memory and space (which affects memory consumption) in HANA:Download Free SAP Monitoring Tools Comparison Matrix

Part of the reason for the above discrepancy is that for an in-memory environment, storage on disk and in memory are two completely different numbers and various factors (such as types of tables/data, access patterns, frequency, and application dynamics, just to name a few) will impact how much memory is consumed during run time as well as over time. It is equally important to plan sufficiently as well as operate intelligently in order to maximize the availability and performance of HANA.



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Do you have some additional useful tips to share?