In what way In-Memory Computing Powers Artificial Intelligence

SAP HANA – Detailed Memory Analysis Walkthrough

Introduction

In this exercise, I’ll give a walkthrough on how to perform a top down investigation on high & peak HANA memory usage and its associate top memory consumers with the aid of HANA SQL scripts attached to SAP Note 1969700 – SQL Statement Collection for SAP HANA and Statistics data (History / Current) collected by ESS / SSS (Mandatory. Recommended retention = 49 days)

I’m taking below example where I was asked to perform a memory analysis on a productive system where there was a spike of peak memory usage, around 5.9TB.

SAP HANA Live Installation Tips + Tables.

Whilst importing delivery units into your HANA System you can sometimes run into some common errors which can easily be fixed without the means of opening a SAP Incident.

Lets look at an example.

Here you are importing SAP HANA Analytics into your system. During the import you see an error:

How to analyze and retain Unused Memory from the HANA/BODS/BW servers

This document is based on one of the major issue on memory bottleneck we are facing in our HANA landscape where we have BODS, BW and HANA DB all running on the same server. The Capacity of the server is quite high with memory of around 512GB and is distributed among different servers. To get the detail on which user is using how much RAM please run the following script:

#!/bin/sh
LDIFS=$IFS
IFS=$'\n'
tempsum=0
totalmem=0
for m in `ps -eo user,rss --sort user | sed -e 's/  */ /g' | awk -F'[ ]' {'print $0'}`; do