1. ANTOL, HOLIČ, KEDA PA195 SPRING 2016
SAP HANA
ANTOL, HOLIČ, KEDA
PA195 SPRING 2016

2. Outline
General outline
Theoretical core
Live Demo(nstration)

3. SAP SE 5 engineers from IBM Hasso Plattner
Originally original software, currently also acquisitions (10+ billions $ since 2012)
One of largest software development companies
basically, too big to describe

4. History – SAP HANA in context
TREX , P*TIME, MaxDB
Hasso Plattner
Current direction is cloud - partnerships with IBM and Microsoft
SAP’s flagship product SAP S/4HANA is built upon HANA
(suite containing crm, erp, and other 3 letter business acronyms)

5. SAP HANA In-memory, column oriented, ACID complying database
Vision: store everything in-memory
Basic use cases:
OLTP - inserts - to record some real world transaction
OLAP - queries - to find trends
1 copy of data
Can store:
Relational data (2d tables)
Unstructured (graphs, texts, spatial)

6. SAP HANA XS alias to eXtended application Services
application server and web server
Not standalone application - tightly integrated into HANA
Simplifies architecture of overall system and individual applications
Programming model:
Data intensive calculations in HANA, front-end processing on client
XS just glues this together

7. SAP HANA SQLScript An interface for applications to access SAP HANA
Extension of ANSI Standard SQL (DDL, DML, Calculation Engine …)
Language for creating stored procedures in HANA
Extending:
Exception handling
Enables modular programming, reuse
local variables
control logic such as if/else that is not available in SQL

8. BEGIN
-- Query 1
product_ids = select "ProductId", "Category", "DescId"
from "SAP_HANA_EPM_DEMO"."sap.hana.democontent.epm.data::products"
where "Category" = 'Notebooks' or "Category" = 'PC';
-- Query 2
product_texts = select "ProductId", "Category", "DescId", "Text"
from :product_ids as prod_ids
inner join "SAP_HANA_EPM_DEMO"."sap.hana.democontent.epm.data::texts"
as texts on prod_ids."DescId" = texts."TextId";
-- Query 3
out_notebook_count = select count(*) as cnt from
:product_texts where "Category" = 'Notebooks';
-- Query 4
out_pc_count = select count(*) as cnt from
:product_texts where "Category" = 'PC';
-- Query 5
out_total_count = select count(*) as cnt
from "SAP_HANA_EPM_DEMO"."sap.hana.democontent.epm.data::products“;
END;

9. SAP HANA Vora Combines: HADOOP + YARN + SPARK
Enables: hierarchical queries + OLAP
in-memory computing engine for Hadoop -> makes Hadoop faster
An in-memory query engine that runs on Apache Spark execution framework
Compiled queries for accelerated processing across Hadoop Distributed File System (HDFS) nodes
Enhanced Spark SQL semantic to include hierarchies to enable OLAP and drill-down analysis
Is independent on HANA

11. SAP HANA Deployment options
SAP HANA On-Premise
SAP HANA in the Cloud
SAP HANA Hybrid

12. SAP HANA On-Premise SAP HANA Appliance Delivery
the Solution validation is performed by SAP and the SAP partner including preconfigured hardware set-up and preinstalled software.
SAP HANA Tailored DataCenter Integration
enables the Installation and validation to be performed by the customer’s SAP Certified Technology Specialist, and the customer is in charge to align with the hardware partner on the individual support model.

13. SAP HANA In the Cloud Public Cloud Managed Private Cloud
Platform as a service

14. So… what is SAP HANA? :) Database Alternative to traditional RDBMS
Appliance
Pre-packed by major HW vendors (resulting from HW demands on RAM)
Cloud
PaaS - Platform as a Service
IaaS - Infrastructure as a Service
Mcaas - HANA Cloud Platform and Managed Cloud as a Service
Platform
3rd party cloud vendors
hybrid solutions

15. SAP HANA Internals #1 In-Memory
- everything is stored in RAM - In-Memory first approach
- disks are only seen as a place to initially load data from and to store new data to, and so provide durability in the case of hardware failure or power loss
Compression
- redundancy handling (dictionary based)
Partitioning
- two types of partitioning: single column stored to many servers and different columns of a table stored to many servers

16. SAP HANA Internals #2 Data stripping
- optimization enabling skipping unused columns
Parallel processing
Multiple engines
- separate calculation engine
- separate planning engine used for functional reporting
- OLAP engine, join engine, row engine, SQL engine, ...
- above is controller dividing tasks to these engines

17. https://account.hanatrial.ondemand.com/
Live Demonstration

18. Would you like to know more?