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© Salisbury University Freely available enterprise- class spatial database servers: experiences with Oracle 10g Express, SQLServer Express 2008 (CTP),

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Presentation on theme: "© Salisbury University Freely available enterprise- class spatial database servers: experiences with Oracle 10g Express, SQLServer Express 2008 (CTP),"— Presentation transcript:

1 © Salisbury University Freely available enterprise- class spatial database servers: experiences with Oracle 10g Express, SQLServer Express 2008 (CTP), and PostGIS James Mooney, Brett Morgan, Kevin Ross, Adam Ruf, Ben Sigrist, and Art Lembo

2 © Salisbury University Introduction Purpose: chronicle experiences in using free offerings of spatial database management systems for GIS. –Installation, loading, analysis, and display Databases –Oracle Spatial Express –Microsoft SQLServer Express 2008 (CTP) –PostGRES/PostGIS

3 © Salisbury University Background The traditional GIS marketplace is rapidly changing. –Google: One of the largest Internet-based content providers introduces Google Earth and Google Maps, introducing geospatial information to the mass market. –Microsoft: World’s largest software company introduces spatial database capabilities in their product offerings, and introduces Microsoft Virtual Earth to compete with Google maps. Spatial capability is now available to all Microsoft Office users. –Open Source: A burgeoning market of freely developed geospatial software places sophisticated geospatial technology in the hands non-traditional users.

4 © Salisbury University Background Results of a new geospatial information super-highway –Volume: more users are now aware of a geospatial information super-highway. –Affordability: more users are now able to afford the tools to drive on the geospatial information super-highway –Navigation: more users require assistance to utilize the tools of the geospatial information super-highway What geospatial information super-highway capabilities are available to the general public at little or no cost, and what is the potential for using these tools?

5 © Salisbury University Spatial databases PostGIS SQLServer Express Oracle Express

6 © Salisbury University Companies PostGIS –PostGIS is a spatial extension to PostgreSQL, an advanced open source database –Developed and maintained by Refractions Research –Freely available, Enterprise grade, Active user community – Microsoft –Microsoft: Redman, WA –Microsoft is a software company that has widespread adoption in the marketplace –6 Editions of software from Compact Edition to Enterprise Edition. –Prices range from $0 to $25,000/processor –We tested the Express Edition –Latest version: SQL Server 2008 Oracle –Oracle Database 10g Express Edition –Current Version (Express Edition) –32-bit –Company’s Purpose: hnology/products/databas e/xe/index.html hnology/products/databas e/xe/index.html

7 © Salisbury University Supported Data Types POSTGIS OpenGIS Consortium Standards –WKT (Well Known Text) –WKB (Well Known Binary) –Both of these formats include information about the type of the object as well as the coordinates which form the object Examples of object types –POINT (0 0) –LINESTRING (0 0,1 3,5 7) –POLYGON ((0 0,1 1,2 2,2 0,0 0),(0 5,5 1,6 1,0 5) –MULTIPOINT (0 0,1 3) –MULTILINESTRING ((0 0,1 1,1 2),(2 3,3 2,5 4)) –MULTIPOLYGON(((0 0,4 0,4 4,0 4,0 0),(1 1,2 1,2 2,1 2,1 1)), ((-1 -1,-1 -2,-2 -2,-2 -1,-1 -1))) –GEOMETRYCOLLECTION(POINT(2 3),LINESTRING((2 3,3 4))) SQLSERVER Proprietary data format –Conforms to OGC standards –WKT (Well Known Text) –Geometry Data Type Represents data in an Euclidean (flat) coordinate system –Geography Data Type Represents data in an Ellipsoidal (round-earth) coordinate system Examples of object types –Point –MultiPoint –LineString –MultiLineString –Polygon –MultiPolygon –GeometryCollection ORACLE OpenGIS Consortium Standards –WKT (Well Known Text) –WKB (Well Known binary) –Oracle spatial

8 © Salisbury University Known Limitations SQLServer Data type restrictions –Each Geog instance must fit in a Hemisphere –Instance from (OGC), (WKT),(WKB) object larger than a hemisphere throws an Argument exception –Geog methods that require input from two Geog instances (intersect,union,differences,sy mdiff) return null if bigger than a single hemisphere Oracle Memory – Only 1gb RAM is addressed, limiting the number of concurrent users. XE will only use one CPU. It can be run on a multi-CPU configuration, but will not scale up to use those other CPUs. Only one XE Database may be run on an individual computer. 4gb Disk Space limitation.

9 © Salisbury University Architecture for testing Hardware –Standard PC with Microsoft XP –Shuttle PC P2 Prima 3500 –64-bit, 3.0 GHZ. –8 GB RAM –Quad-core Software –Spatial databases: Oracle, SQLServer, –PostGIS –Viewing: Manifold GIS, Quantum GIS –Loading: Manifold GIS, SPIT, SharpNet Data –Simple point, line, area –City of Ithaca parcels (5,000 area features) –Large fictitious grid (5 million area features) –TIGER data for Northeast US (4 million linear features)

10 © Salisbury University Installation

11 © Salisbury University Installation Each product has a Window’s based installation process –Oracle had the simplest installation process –PostGIS and SQLServer had numerous difficulties within the University network. –PostGIS and SQLServer worked fine on individual computers

12 © Salisbury University Loading Spatial Data

13 © Salisbury University Simple line insertion with SQL

14 © Salisbury University Line Segment

15 © Salisbury University Oracle Data Loading

16 © Salisbury University Data File

17 © Salisbury University Ithparc2 Linked to Oracle

18 © Salisbury University Query in SQLServer sqlcmd

19 © Salisbury University The query in manifold along with the original parcel drawing and the one from the database.

20 © Salisbury University

21 Loading data with 3 rd party products

22 © Salisbury University Manifold’s database console was used to Connect to the new database.

23 © Salisbury University

24 - Exporting data using Manifold is fairly straightforward. - Used Manifold to export BigBadData (5 million records) and the roads data (4 million records) into separate databases -The BigBadData took about one hour and twenty minutes -The roads data took about forty five minutes SQLServer - Exporting data with Manifold

25 © Salisbury University SharpGIS Shapefile uploader This tool was recently created by Morten Nielsen It can be obtained freely from This tool was designed to easily upload ESRI Shapefiles into SQLServer 2008

26 © Salisbury University This shows the County Data Opened in manifold

27 © Salisbury University PostGIS with SPIT

28 © Salisbury University Traditional and Spatial Queries

29 © Salisbury University SQL Queries SQLServer SELECT * From dbo.Cnty_sf1_Drawing where P001001 > 100000 SELECT SUM(P001001) as SUM FROM dbo.Cnty_sf1_Drawing SELECT AVG(P001001) as AVG FROM dbo.Cnty_sf1_Drawing Oracle SELECT GEODESC FROM Cnty_sf1_drawing WHERE P001001 > 100000; SELECT SUM(P001001) AS SUM FROM Cnty_sf1_drawing; SELECT AVG(P001001) AS AVG FROM Cnty_sf1_drawing; PostGIS SELECT * FROM "BigBadData” WHERE "Population" > 90000 SELECT SUM("Population") AS Sum FROM "BigBadData" SELECT AVG("Population") AS Average FROM "BigBadData"

30 © Salisbury University SQLServer Spatial Queries Buffer DECLARE @Wicomico geometry; SET @Wicomico= (SELECT top 1 geom FROM dbo.Cnty_sf1 WHERE GEODESC= 'Wicomico County'); SET @Wicomico= @Wicomico.MakeValid(); SET @Wicomico= (SELECT @Wicomico.STBuffer(250).ToString()); Insert into bobo2(geom) VALUES(@Wicomico);

31 © Salisbury University SQLServer Spatial Queries UNION DECLARE @Parc1 geometry; DECLARE @Parc2 geometry; DECLARE @Result geometry; SET @Parc1= (SELECT top 1 geom1 FROM dbo.Parcels WHERE gid= 27); SET @Parc2= (SELECT top 1 geom1 FROM dbo.Parcels WHERE gid= 419); SET @Parc1= @Parc1.MakeValid(); SET @Parc2= @Parc2.MakeValid(); SET @Result= (SELECT @Parc1.STUnion(@Parc2)); INSERT INTO Dist(geom) VALUES (@Result);

32 © Salisbury University Oracle Spatial Query: Buffer SDO_BUFFER(Geometry, Distance in meters, Tolerance)

33 © Salisbury University Oracle Spatial Query: Union SDO_UNION(Geometry1, Geometry2, Tolerance)

34 © Salisbury University PostGIS Spatial Queries BUFFER SELECT ST_Buffer(geometry,.1) FROM "BigBadData" WHERE "Population" > 90000

35 © Salisbury University PostGIS Spatial Queries UNION SELECT ST_UNION((SELECT geometry FROM "Parcels" WHERE gid = 27),(SELECT geometry FROM "Parcels" WHERE gid = 419))

36 © Salisbury University



39 Discussion Observations and expectations of first time users

40 © Salisbury University PostGIS Positive –SQL syntax was the most straightforward –PGAdmin was very easy to use (little directions necessary) –Useful GUI capabilities for management –Easy integration with Manifold and QGIS –Large and helpful user committee Negative –Installation in certain environments was difficult –Very large datasets locked up the server (possibly due to our hardware configuration)

41 © Salisbury University Oracle Positive –Very easy installation –Good documentation –Spatial SQL easy to write –Administration tool easy to use –Easy integration with Manifold Negative –Oracle Express limited character length in enormous INSERT statements –Geometry queries required more thought, as more parameters were required. –Use of control files was cumbersome

42 © Salisbury University SQLServer Express 2008 Must remember that this was a CTP, and part of the objective is to uncover inefficiencies. Therefore, this is not a criticism of SQLServer Express 2008. Positive –Good online help –SQL straightforward –Relatively fast processing –Good integration with Manifold and SharpGIS Negative –Installation was difficult (but remember, it was a CTP) –Spatial SQL more cumbersome than other products –Currently no management studio –Reverse format of X,Y coordinates made certain loading difficult.

43 © Salisbury University Future Activities GEOG 415 – Special topics class (Spring 2009) at Salisbury University in building enterprise spatial database management systems –Currently evaluating pilot projects for implementing an enterprise-wide, low cost spatial database management system within a local Eastern Shore agency. EFRI- RESIN: Decision Support for Water Supplies and Critical Interdependent Infastructure –Central enterprise coordination of shared geospatial storage (Cornell University, University of Delaware, University of Southern California, and Salisbury University) for a large National Science Foundation (NSF) proposal. Spatial database includes PostGRES/PostGIS with client access from ArcGIS, Manifold GIS, Quantum GIS, and Microsoft Office applications.

44 © Salisbury University Conclusion Many free versions of large-scale spatial databases exist beyond what we investigated Products were easy enough to use so that an evaluation of all three was possible in a one semester course Each software product had its strengths and weaknesses in terms of –Installation –Data loading –Data analysis –Data integration with third party products Having a third party product to manage data loading, analysis and display is beneficial Cutting one’s teeth on the free versions of the data products are an ideal way to prepare a full migration to the full package

45 © Salisbury University Workgroup ideas Manifold does not really operate in a true client/server implementation with spatial databases –Still too committed to caching all the data –What are the tradeoffs of this approach? Should Manifold become a true client to these spatial databases? Should Manifold create their own middle- ware tier? –What are the tradeoffs of this approach?

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