DEV103 - Mapping the World With SAP HANA Geospatial Engine

Public

Frank Albrecht SAP SE (ASCOT)

Kai-Christoph Mueller SAP Labs (ASCOT)

DEV103 Mapping the world with SAP HANA Geospatial Engine

2014 SAP SE or an SAP affiliate company. All rights reserved. 2 Public

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This presentation outlines our general product direction and should not be relied on in making a

purchase decision. This presentation is not subject to your license agreement or any other agreement

with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to

develop or release any functionality mentioned in this presentation. This presentation and SAP's

strategy and possible future developments are subject to change and may be changed by SAP at any

time for any reason without notice. This document is provided without a warranty of any kind, either

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particular purpose, or non-infringement. SAP assumes no responsibility for errors or omissions in this

document, except if such damages were caused by SAP intentionally or grossly negligent.


Agenda

The Project

SAP HANA Cloud and Spatial engine

Implementation

From Real World to SAP HANA model

Architecture

Digitizing the real world

Analyzing the real world

Results

Learnings

The Project


The Project

Goal

Help a golf player to improve his

performance

Motivation

use SAP standard software

provide running code showcase

be able to become producible

show patterns, which can be used in business related scenarios


capture store, analyze & visualize create value

Real World meets Technology

Sensors Cloud KPIs

Trackman

Stroke tracking

Wind sensor

SAP HANA cloud

SAP HANA spatial engine

Real time insights

Predictions

Intuitive visualization


Agenda

The Project


Implementation


Architecture



Results

Learnings

SAP HANA

(Cloud && Spatial Engine)


Landscape: SAP HANA Cloud accessible via the Internet


SAP HANA Cloud Platform High level overview

SAP HANA Cloud Platform

SAP HANA AppServices

Integration Analytics Mobile Collaboration Portal

www

Security

Application

Services

Enablement

Services Application Management Systems Management Administration & Monitoring

Transactions Streaming Predictive Text Mining Analytics Spatial &

Graphs

SAP HANA DBServices

Developer

Experience HANA XS && OData Open (JAVA)

Integrated


SAP HANA spatial engine

SAP HANA Spatial Processing

Business Data + Spatial Data + Real-time Data

Geo Services

{ Geocoding ||

Base maps }}

Geo Content

{ Political

Boundaries || POIs

|| Roads || }

Columnar Spatial

Processing

Calc Model /

Views

{ Joins || Views }

Spatial Functions

{ Area || Distance

|| Within || }

Spatial Data

Types

{ Points || Lines ||

Polygons }

- SQL - JDBC - ODBC - XS -- xsjs -- OData -- geoJSON

Interfaces


Development Tools: HANA Studio or Web Development Workbench


Agenda

The Project


Implementation


Architecture



Results

Learnings

Implementation

From the real world to the SAP HANA model


Capabilities: Allows for visualization, interaction, and

exploration of spatial data in SAP HANA via maps

Supports HTML5 deployments for browser or iPad Consumes SAP HANA models

Benefits: Quick development and deployment time Low TCO & TCD and fast response times with 2-

tier architecture

Interoperates with third-party mapping services

SAP HANA Spatial Application Development

Quickly develop and deploy SAP HANA based spatial applications

via the native XS engine

SAP HANA XS

iPad/

Browser

SAP

HANA

HTML5

Application

Location

Services Maps

Geo-

coding Services

Spatial

Engine

Geo-

content


The Process From the real world to the SAP HANA model

createGolfCourseModelInHANA

1) Acquire real world representation

2) Create and export geoJSON / KML / ShapeFile /

{ Google Earth || OpenStreetMap || geojson.io || }

3) Create SQL inserts using WKT format

4) Import model to SAP HANA

5) Check the model of golf course in SAP HANA

// code..code..code


(1) Acquire real world representation Golf Course and Club St.Leon-Rot, Germany

Images of Golf Club St.Leon-Rot from https://www.gc-slr.de/


GeoJSON (small excurse) or how to model real world objects

GeoJSON is an open standard format for encoding collections of simple geographical features along with their non-spatial attributes using JavaScript Object Notation.

~ Wikipedia

Point { "type": "Point", "coordinates": [30, 10] } LineString { "type": "LineString", "coordinates": [ [30, 10], [10, 30], [40, 40] ] } Polygon { "type": "Polygon", "coordinates": [ [[30, 10], [40, 40], [20, 40], [10, 20], [30, 10]]] } MultiPoint { "type": "MultiPoint", "coordinates": [ [10, 40], [40, 30], [20, 20], [30, 10] ] }

\\ += { MultiLineString{}, MultiPolygon{} }

geoJSON

geometries


GeoJSON (still a small excurse) feature collections

GeoJSON is an open standard format for encoding collections of simple geographical features along with their non-spatial attributes using JavaScript Object Notation.

~ Wikipedia

{ "type": "FeatureCollection", "features": [ { "type": "Feature", "geometry": { "type": "LineString", "coordinates": [ [102.0, 0.0], [103.0, 1.0], [104.0, 0.0], [105.0, 1.0] ] }, "properties": { "prop0": 0.0, "prop1": "value0" } }, { "type": "Feature", "geometry": { "type": "Polygon", "coordinates": [[[100.0, 0.0], [101.0, 0.0], [101.0, 1.0], [100.0, 1.0], [100.0, 0.0]]]}, "properties": { "prop1": { "this": "that" }, "prop0": "value0" } } ] }

geoJSON

features


(2) Create and export geoJSON Tool interface and demo


(2) geoJSON for a golf course some examples

Pin: Bunker:


(3) Create SQL inserts in WKT format


(2) Database Table with geo data

Use ST.as_Text() to show geo information in human readable format

LINESTRING (8.628876180747724 49.245461274649351,8.628857007750653

POINT (8.624864494948630 49.247562010296519)


insert into "PAE"."gsm::holegeo"( "ID", "HOLEID", "NAME", "TYPE", "PROPERTIES", "GEO") values( "PAE".SEQ_HOLEGEO.NEXTVAL, 'd-code_hole17', 'd-code_Green', 'green', '{"golf":"green","natural":"grass","name":"Green","parent":"hole01"}', NEW ST_POLYGON ('POLYGON((8.62538605928421 49.247343895147054, 8.625455796718596 49.24721782786144, 8.625624775886536 49.24727735967533, // first and last entry are the same 8.625514805316925 49.247349147943645, // in order to close the polygon 8.62538605928421 49.247343895147054 ))') ) ;

(4) Import model to SAP HANA

Inserting a modeled

green

Create a table including ST_Geometry data type

super type of all spatial geometry types

{ ST_LineString && ST_MultiLineString && ST_MultiPoint && ST_MultiPolygon && ST_Point && ST_Polygon }

Expecting WKT(Well-Known-Text) format in each constructor


(5) Check the model of golf course in SAP HANA Hole 1 In real life and based on SAP HANA data


(5) Check the model of golf course in SAP HANA The complete course of St.Leon in real life and modeled in SAP HANA

Implementation

Architecture


Architecture Information

SAP HANA Cloud platform as the core

Data capturing via sensors

Geo information, analysis and prediction from platform

services

Implementation



Digitizing the real world Provide Information during game


Digitizing the real world Recording Strokes

NFC Tags for each club

Phone with NFC support

Records Club information

and Geo Location


Storing the recorded strokes

Phone reads NFC tag and creates OData Entity with Latitude,Longitude and ClubId

Implementation



Analysis - Questions

The golf player wants to get answers for the following questions:

Did the ball hit the green ?

How long was the longest drive ?

Did the ball hit the Fairway ? { hit || missed left || missed right }

Green in regulation ? { hit || missed short || missed long || missed left || missed right }


KPI

Fairway { hit || missed left || missed right }

Angle as reference required

Line between tee-off and centroid of freeway

Depending on angle between

reference line && tee-off to ball land line

missed right || missed left

"PAE"."gsm::Bearing"( SD."StartLat", SD."StartLng", SD."EndLat", SD."EndLng )

> "PAE"."gsm::Bearing"( SD."StartLat", SD."StartLng", HG_FAIRWAY.GEO.ST_CENTROID().ST_Y(), HG_FAIRWAY.GEO.ST_CENTROID().ST_X() )

\\ "PAE"."gsm::Bearing is a helper function


Fairway Special Case

Unsymmetrically shaped freeways require helper lines

Ball would falsely be labeled missed right here

New line between tee-off && helper point (green)

Depending on angle between

helper line && tee-off to ball land line

missed right || missed left

"PAE"."gsm::Bearing"( FW_HLINE."Lat1", FW_HLINE."Lng1", SD."EndLat", SD."EndLng )

> "PAE"."gsm::Bearing"( FW_HLINE."Lat1", FW_HLINE."Lng1", FW_HLINE."Lat2", FW_HLINE."Lng2 )

\\ "PAE"."gsm::Bearing is a helper function


KPI Green in regulation (GIR)

Green in regulation (GIR) := stroke ( PAR 2 ) on the green

Possible values { Hit || Missed short || Missed long || Missed right || Missed left }

Measured in stroke direction

Unsymmetrical shape again

Missed short || Missed right?


Agenda

The Project


Implementation


Architecture



Results

Learnings

Results


The Results

Fan experience Leader board

Player dashboard

Analytics


Fan experience Leader board


The Player Dashboard


Analytics


Agenda

The Project


Implementation


Architecture



Results

Learnings

Learnings


Learnings

You need to understand

Longitude & Latitude versus Cartesian coordinates

Radian versus Degrees

Visualization needed for all Geospatial data during development and testing very helpful

Clock-wise/Counter Clock-wise orientation

for distances/areas on the earth

influencing distance calculations as there are two distances on a closed surface

Access via SAP HANA Cloud on every Golf Course in the world possible

Current Limitations

Geospatial cannot be used in SQL script, Analytical- and Calculation-views


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release any functionality mentioned therein. This document, or any related presentation, and SAP SEs or its affiliated companies strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for

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DEV103 - Mapping the World With SAP HANA Geospatial Engine