SAP HANA Customer References and Services Harald Bolbach / IBM Associate Partner 11th June 2013

SAP HANA Customer References and Services

Harald Bolbach / IBM Associate Partner11th June 2013

© 2013 IBM and/or SAP AG or an SAP affiliate company. All rights reserved. 2

Agenda

The SAP HANA Appliance Architecture and the Influence on the underlying Infrastructure IBM’s Solutions for the SAP HANA Appliance Customer Reference: Migros Globus’ Warehouses IBM’s Services for the SAP HANA Appliance

The SAP HANA Appliance Architecture and the Influence on the underlying Infrastructure


Data Store and Characteristics in Column and Row Store

Column Storestores tables by column

Row Storestores tables by row

Calculations are typically executed on single or few columns only.

The table is searched based on values of a few columns.

The table has a big number of columns.

The table has a big number of rows and columnar operations are required (aggregate, scan, etc.).

High compression rates can be achieved because the majority of the columns contain only few distinct values (compared to number of rows).

This is typical for OLAP workloads.

The application needs to process only one single record at one time (many selects and /or updates of single records).

The application typically needs to access the complete record and the columns contain mainly distinct values so compression rate would be low.

Neither aggregations nor fast searching are required

The table has a small number of rows (for example configuration tables).

This is typical for OLTP workloads.

Attribute 2Attribute 4Attribute 1

Attribute 3 Tuple 1Tuple 2

Tuple X

AB


SAP HANA DB Architecture

The SAP HANA DB consists of:

Several In-memory stores One row store

One or more column stores

A persistence layer with Data

SQL data and undo log information

Additional HANA information, such as modeling data

Log:

Information about data changes (redo log)

Directly saved to persistent storage when transaction is committed

Cyclical overwrite (only after backup)

A global transaction manager

IBM’s Solutions for the SAP HANA Appliance


How does IBM make sure that the data are written in a fastand reliable manner to the disks?

The SAP HANA database holds the bulk of its datain memory for maximum performancebut still uses persistent storage to provide a fallback in case of failure.

Time

Data savepointto persistent storage (at least every 5 minutes)

Log writtento persistent storage

(committed transactions)Power failure

SAS Drivesoptimized for Throughput(>800MB/s)

SSD Drives / FusionIOoptimized for high IOPS / low latency(>100 000 IOPS)

Serverlocalstorage

GPFS FilesystemFor maximum performance and scalability


IBM Workload Optimized Solution for the SAP HANA™appliance

11

Data Center Ready

Reliability by eliminating single points of failure

Reduced risk, maintainance and administration

Persistence in internal disksIntegrated Backup / Restore High AvailabilityMonitoringDisaster Recovery Solutions Security and Auditing

Technology Services provide a safe project start in the datacenter

SAP HANA®

OSSUSE Linux Enterprise Server

Priority Support for SAP applications

GPFS ITM

TSM

IBM DirectorFPO functionality

Server HW

eX5 - x3690 X5 and x3950 X5

Applications

SUSE


Hardware Impact for Products on In-Memory Migration of Database Server Only

Any DB/Any OS

An

y O

S

SAP HANA / SUSE Linux

HANA migration

No Change

No change of frontends

Re-use of available application servers

Sizing of current application servers remains valid

Change

Migration of database to SAP HANA appliance required

No change

Data model

Custom extensions

Switching to SAP HANA does not impact application servers or frontends (see product availability matrix)

SAP HANA appliance runs on SUSE Linux (SLES)

Frontends

Application Servers


IBM Systems Solution for SAP HANA sizes / building blocks / upgrade path

Size XS S S+ M LBuilding Block x3690 X5 x3690 X5 x3950 X5 x3950 X5 x3950 X5

Part Number (Sys x - config)

7147-HAx 7147-HBx 7143 - HAx 7143 - HBx 7143 – HBx +7143 – HCx

Intel CPU 2 x E7 2870 2 x E7 2870 2 x E7-8870 4 x E7-8870 8 x E7-8870

RAM 128 GB DDR3 (8 x 16GB)

256 GB DDR3 (16 x 16GB)

256 GB DDR3 (16 x 16 GB)

512 GB DDR3 (32 x 16 GB)

1 TB DDR3 (64 x 16 GB)

Log Storage 10 x 200 GB 1.8‘‘ MLC SSD

10 x 200 GB 1.8‘‘ MLC SSD

1.2 TB ioDrive2 FusionIO 1.2 TB ioDrive2 FusionIO 2 x 1.2 TB ioDrive2 FusionIO

Data Storage - - 8 x 900 GB 10k SAS HDD 8 x 900 GB 10k SAS HDD 16 x 900 GB 10k SAS HDD

Storage Ctrl 2 x M5015 2 x M5015 1 x M5015 1 x M5015 2 x M5015

Data / Log Storage Summary

1.6 TB RAID 5 data and log storage

1.6 TB RAID 5 data and log storage

5.4 TB RAID5 data storage 1 TB log storage



Ethernet 4 x 10 GbE, 6 x 1 GbE 4 x 10 GbE, 6 x 1 GbE 4 x 10 GbE, 6 x 1 GbE 4 x 10 GbE, 6 x 1 GbE 8x 10 GbE, 12 x 1 GbE

Upgrade Option Scale Up or Scale out

XS - > S Up to 16 node scale out with HA, SAP certified

S+ M M L (with L-option)

Up to 56 node scale out with HA, SAP certified

L XL or XXL

Up to 56 node scale out with HA, SAP certified

Software Preload:SLES4SAPGPFSSAP HANA

Preload:SLES4SAPGPFSSAP HANA



Preload:Addtl. GPFS lic.


IBM Systems Solution for SAP HANA

Size XL XXL

Building Block x3950 X5 x3950 X5

Part Number (Sys x - config)

tbd tbd

Intel CPU 8 x E7-8870 8 x E7-8870

RAM 2 TB DDR3 (128 x 16 GB or 64 x 32 GB)

4 TB DDR3 (128 x 32 GB)

Log Storage 2 x 1.2 TB ioDrive2 FusionIO 4 x 1.2 TB ioDrive2 FusionIO

Data Storage 16 x 900 GB 10k SAS HDD 24 x 900 GB 10k SAS HDD

Storage Ctrl 2 x M5015 2 x M5015, 1 x M5025

Data / Log Storage Summary

10.8 TB RAID5 data storage2 TB log storage


Ethernet 8 x 10 GbE, 12 x 1 GbE 8x 10 GbE, 12 x 1 GbE

Upgrade Option Scale Up or Scale out

XL XXL (with additional memory, ioDrive2, M5025, EXP 2524)

Software Preload:SLES4SAPGPFSSAP HANA


Single node only for SAP Business Suite on HANA


SAP HANA Scale-out

Simple No SAN required because of IBM’s General Parallel File System

Expand database by adding nodes with GPFS

One part number ordering for each node (stand-alone or scale-out)

Seamless

• Highly Available through IBM GPFS

Optimizes system availability

Intelligent Cluster integrated packaging and assembly Speeds installation and deployment Reduces implementation risk

Installation and managed services Speeds installation Ensures skills transfer Simplifies on-going maintenance

Scalable Scale to 56 TB and larger using IBM GPFS* Supports large database requirements

Validated by SAP 16 Node x3690 X5 and x3950 X5 56 Node x3950 X5 with HA* * Reference SAP Note 1650046

... 2

to 5

6


DB 2 Nearline Storage complements with SAP HANA

17

SAP BW NLS support for SAP HANA

Major advantage: TCO reduction Reduced data volume on SAP HANA

Reduced SAP HANA license cost

Smaller SAP HANA box is sufficient

SAP note Note 1695150 - DB6: NLS Impl. - Usage for HANA DB, MaxDB

and DB2 for i

SAP BW NLS support for SAP HANA

Major advantage: TCO reduction Reduced data volume on SAP HANA

Reduced SAP HANA license cost

Smaller SAP HANA box is sufficient

SAP note Note 1695150 - DB6: NLS Impl. - Usage for HANA DB, MaxDB

and DB2 for i

BI OLAP SAP NetWeaver BW

HANA Interface

Transparent AccessTransparent Access

DB2 NLS Interface

General NLSInterface

DB2 DBSL

DB2 NLSStorage

Older Data

BW OLAP

SAP HANA Current Data


FAILED Node 2512GB

- index server- statistic server

- SAP HANA® DB worker node

Production Node 2512GB

X39507143-HBx (512GB)



shared filesystem - GPFS



data01(1)

data03(3)

log01(1)

log03(3)

data01(1)

HDD flash

data02 log02

data01(1)

data03(3)

log01(1)

log03(3)

HDD flash

data02 log02

data03(3)

log01(1)

log03(3)

HDD flash

log01

DB partition 1

- index server- statistic server- SAP HANA® studio


HDD flash

log03(3)log03

DB partition 3

flash



data03

HDD flash


HDD replica

X39507143-HBx (512GB)

X39507143-HBx (512GB)

X39507143-HBx (512GB)

data01(2) data01(3)data02(1)data02(3)

data03(1)data03(2)

Log replicalog01(2) log01(3)log02(1) log02(2)log02(3)

log03(1)log03(2)

data01(2) data01(3)data02(3)

data03(1)data03(2)

log01(2) log01(3)log02(1) log02(2)log02(3)

log03(1)log03(2)

DB partition 2

data02(2)data02(2)

log02(2)log02(1)log02(3)

data02(3)

data01(1)data01primary data

HDD replica

Log replica

SAP HANA® DB




data02(1)

SAP HANA Appliance – Scale Out with High AvailabilityProduction up to 56TB with 56 Nodes

- SAP HANA® DB standby node


Standby Node 4512GB


Customer Example - Overview of the SAP BW based on HANA Scaleout with High Availability & Disaster Recovery available since 12.2012 s. SAP Note 1755396

Synchronous replication to secondary site in metro distance

SAP BWASCS

SAP BWPAS

SAP BWJAVA SCS

SAP BWPAS

SAP BW 7.3

LPARs

Productive SAP BW system

SAP BWASCS

SAP BWPAS

SAP BWJAVA SCS

SAP BWPAS

SAP BW 7.3

LPARs

Test SAP BW system

Customer Reference: Migros Globus’ Warehouses


Key Performance Indicators MzG (Effective 01/2012)

779 Mio CHF (~ 623 Mio Euro)45 % Fashion26 % Delicatessa15 % Home & Household14 % Cosmetics

Gross Sales Floor

Department Stores FTEs

14 2670

60‘470 m2

78,1 Mio CHF (~ 65 Mio Euro)Only Fashion

Gross Sales Floor

Selling Points FTEs

Gross Revenue

23 260

8‘780 m2 (net)

Gross Revenue


Biggest and smalles Performance Gain during Analysis and Reporting with SAP BW based on HANA

Supplier Evaluation

BW on HANA: 00‘17‘‘Legacy BW: 22‘30‘‘Factor: 79.41

Revenue per Seller

BW on HANA: 00‘08‘‘Legacy BW: 00‘20‘‘Factor: 2.5

IBM’s Services for the SAP HANA Appliance


Configuration of a managed IBM SAP In-Memory environment consisting of various server and storage components

IBM DS 3X, 4X, 5XStorage (GPFS)

IBM x3650 Management Server

(Monitoring & Deployment Tools)

VPN Connection toIBM‘s Service Center

IBM Blade Centerwith Blades HS22

(Linux, SAP BWA)

System x3650 M21 2

3 4

0 1 2 3 4 5 6 7 8 9 10 11

1 2 3 4 5 6 7 8 9 10 11 12 13 14

1 2 3 4 5 6 7 8 9 10 11 12 13 14

BladeCenter H

System Storage DS4700

4GB/s 2GB/s

1 2

3 4

S

3

2

1

0

7

6

5

4

System x3850 X5

Mo

nito

ring

, Eve

nts,

Rem

ote O

pe

ration

sIBM x5 Server

(Linux, GPFS, SAP HANA)

&

or/&


Service centers & Labs working for IBM Switzerland & IBM worldwide in the IBM SAP In-Memory Area

Walldorf & Böblingen – SAP Labs

Hyderabad – Shared Service CenterBangalore – Dedicated Service Center

Zürich/Basel/Geneva/Lausanne – SAP & In-MDB SMEs


IBM is the only one stop shop for SAP HANA

Find the details in the Solution Letter on IBM offerings around SAP HANA

Plan Build Run

SAP HANAApplications

SAP HANASoftware

OS FS Network

Hardware

SAP HANAValue Identi-

fication

SAP HANAValue Identi-

fication

Business Analytics Jumpstart

Business Analytics Jumpstart SAP HANA

Proof of Concept

SAP HANAProof of Concept

SAP HANA RealizationSAP HANA Realization

SAP HANA Application

Management

SAP HANA Application

Management

SAP HANA Infrastructure Managementalso available

in the IBM Cloud

SAP HANA Infrastructure Managementalso available

in the IBM Cloud

SAP HANA Turnkey

Solution Setup

SAP HANA Turnkey

Solution Setup

SAP HANA Infrastructure

and Basis Installation

SAP HANA Infrastructure

and Basis Installation

Technical Architecture

Blueprint

Technical Architecture

Blueprint

SAP HANA AppliancesSAP HANA Appliances

Business Services Technology Services Hard- & Software

SAP HANA Patching/ Revision,

Firmware, OS, File System Upgrades/

Support

SAP HANA Patching/ Revision,

Firmware, OS, File System Upgrades/

Support

https://w3-connections.ibm.com/communities/service/html/communityview?communityUuid=aabf5138-6169-46dd-86e3-ae2fb9cbd6ce

© 2013 IBM and/or SAP AG or an SAP affiliate company. All rights reserved.

Thank you!Contact information:

Harald BolbachDipl.-Verw.Wiss. SAP Principal - Associate Partner

IBM Schweiz AGGlobal Technology ServicesVulkanstr. 106, PostfachCH-8010 Zürich

Phone: +41 58 333 53 01/ Mobile: +41 79 403 13 52E-Mail: [email protected]


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SAP HANA Customer References and Services Harald Bolbach / IBM Associate Partner 11th June 2013