SAP HANA Overview

Introduction to SAP HANAIntroduction to SAP HANA

Sitaram Kotnis P.Sitaram Kotnis P.

02/15/201302/15/2013

Agenda

HANA Introduction and features.HANA Architecture.Scale Out, HA and DR CapabilitiesSAP HANA Data Provisioning

SAP SLTQuestions & Backup

Agenda


SAP SLT

Introduction to SAP HANA

SAP HANA is a flexible, data-source-agnostic appliance that enables

customers to analyze large volumes of SAP ERP data in real-time, avoiding the need to materialize transformations.

In-memory databaseIt supports analytical and transactional applications.It supports relational data as well as graph and text

processing for semi- and unstructured data It is “ACID” compliant.

SAP HANA--- The Time is NOW SAP HANA--- The Time is NOW Orchestrating Orchestrating Technology InnovationsTechnology Innovations

HW Technology Innovations

64bit address space – 2TB in current servers

100GB/s data throughput

Dramatic decline in price/performance

Multi-Core Architecture (8 x 8core CPU per blade)

Massive parallel scaling with many blades

Row and Column Store

Compression

Partitioning

No Aggregate Tables

Real-Time Data Capture

Insert Only on Delta

The elements of In-Memory computing are not new. However, dramatically improved hardware economics and technology innovations in software has now made it possible for SAP to deliver on its vision of the Real-Time Enterprise with In-Memory business applications

SAP SW Technology Innovations

Processors are more powerful with hyper threading and higher clocking speeds thus offer higher throughputAlso processors come with multiple processing units ( multi cores)Multi CPU Boards per serverMulti server boards

For ex: Nahelms – 4 cores Dunnington – 6 cores

A Shift of Frontiers in Computer Science

Tape is Dead Disk is new

Tape Main

Memory is new Disk

CPU Cache is new Main Memory

A 10 € B 35 $ C 2 € D 40 € E 12 $

A B C D E 10 35 2 40 12 € $ € € $

memory address

organize by row

organize by column

A 10 €

B 35 $

C 2 €

D 40 €

E 12 $

conceptual view

mapping to memory

Columnar layout supports sequential memory access.

A partition is a division of a logical database or its constituting elements into distinct independent parts

Horizontal partitioning Vertical partitioning

TABLE

Columnar database allows basic data compression by removing redundant data.

Run-length encoding

Also, there are several other compression algorithms with which data can be lossless compressed..Eg: dictionary encoding, bit vector encoding

SAP Other in-memory appliances

Business Warehouse Accelerator BO Explorer Accelerated CRM SegmentationSCM Live-cache

SAP HANASupports any data sources.Supports transactional and analytical processing.Supports row-store and column store.It’s a faster RDBMS.

SAP BIA/BWASupports only data from BI for faster reporting purposes.Not an RDBMS.Supports only column store using TREX flat files.

SAP HANA Components

SAP HANA DB (or HANA DB).SAP HANA Studio SAP HANA Appliance refers to HANA DB as

delivered on partner certified hardware (see below) as an appliance.

SAP HANA Application Cloud refers to the cloud based infrastructure for delivery of applications (typically existing SAP applications rewritten to run on HANA).

SAP HANA appliance software is a hardware and software including the

SAP HANA database,SAP LT Replication Server and other available replication technologies.


SAP SLT


SAP SLT


SAP SLT

http://www.academy.saphana.com/ http://www.experiencesaphana.com http://www.saphana.com http://www.help.sap.com/hana_applianc

e http://www.sap.com/hana http://scn.sap.com/community/hana-in-

memory

2 x 8 core Intel Nehalem EX ( 2 socket system)

128 GB Main memory 160 GB PCIe-Flash / SSD for Log volume1 TB SAS / SSD for Data volume 3 x 1 GB n/w or 1 x 10GB n/w (trunk) Redundant n/w infrastructure

Uncompressed Data ~ 256 GB to ~500 GB

Replication Data load 5GB / hr

2 x 8 core Intel Nehalem EX ( 2 or 4 sockets system)

256 GB Main memory 320 GB PCIe-Flash / SSD for Log volume1 TB SAS / SSD for Data volume 3 x 1 GB n/w or 1 x 10GB n/w (trunk) Redundant n/w infrastructure

Uncompressed Data ~ 500 GB to ~1.25TB


2 x 8 core Intel Nehalem EX (4 sockets system)

256 GB Main memory (expandable up to 512 GB)

320 GB PCIe-Flash / SSD (expandable up to 640 GB)

1 TB SAS / SSD for Data volume (expandable up to 2 TB)

3 x 1 GB n/w or 1 x 10GB n/w (trunk) Redundant n/w infrastructure

Uncompressed Data ~ 500 GB to ~2.5 TB


HANA Appliance “T-shirt” sizes Specifications & Approximate Data Volumes

S+

S

XS

Starts at S and scales up to M

4 x 8 core Intel Nehalem EX ( 4 socket system) 512 GB Main memory 640 GB PCIe-Flash / SSD 2 TB SAS / SSD for Data volume 3 x 1 GB n/w or 1 x 10GB n/w (trunk) Redundant n/w infrastructure

Uncompressed Data ~1.25TB to ~2.5 TB

Replication Data load 5GB - 20 GB/ hr

4 x 8 core Intel Nehalem EX ( 8 socket system) 512 GB Main memory (expandable up to 1 TB)640 GB PCIe-Flash / SSD (expandable up to 1.2

TB)2 TB SAS / SSD for Data volume (expandable

up to 4 TB) 3 x 1 GB n/w or 1 x 10GB n/w (trunk) Redundant n/w infrastructure

Uncompressed Data ~ 1.25TB to ~5TB

Replication Data load 5GB – 20 GB / hr

8 x 8 core Intel Nehalem EX 1 TB Main memory 1.2 TB PCIe-Flash / SSD 4 TB SAS / SSD for Data volume 3 x 1 GB n/w or 1 x 10GB n/w (trunk) Redundant n/w infrastructure

Uncompressed Data ~ 2.5TB to ~5TB

Replication Data load 5GB – 20 GB / hr

HANA Appliance “T-shirt” sizes Specifications & Approximate Data Volumes

M

M+

L

Starts at M and scales up to L