Bringing Spatial Love to Your Java Application
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This document discusses bringing spatial capabilities to Java applications using MongoDB. It provides an overview of spatial data and indexing in MongoDB, demonstrating how to [1] store location coordinates in an array or nested objects, and [2] create a 2d index. The document then [2] demonstrates loading sample spatial data, running spatial queries, and accessing the data through web services. It concludes by encouraging developers to use these techniques to build location-based applications on MongoDB and OpenShift.
![How to make it work
1) Put your coordinates into an arrary
{ loc : [ 50 , 30 ] } //SUGGESTED OPTION
{ loc : { x : 50 , y : 30 } }
{ loc : { foo : 50 , y : 30 } }
{ loc : { lon : 40.739037, lat: 73.992964 } }
2) Make a 2d index
db.places.ensureIndex( { loc : "2d" } )
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Bringing Spatial Love to Your Java Application
- 1. Bringing Spatial Love to Your Java Application Steven Citron-Pousty PaaS Dust Spreader, Red Hat @TheSteve0 1
- 2. Agenda • Learn a little spatial • Load some spatial data into mongo • Do a query or two SIGN UP CODE: mongosv12 2
- 3. Assumptions 1) You already know Java 2) You can use the command line 3) You are comfortable with Mongo command line 4) Please ask questions – though since we only have 30 minutes they may have to wait until the end or after the session 3
- 4. What is OpenShift? Red Hat’s free platform as a service for applications in the cloud. 4
- 5. 5 Dalbera on Flickr
- 6. Kind of like Amazon, right? Nope. 6
- 7. Cook24v on Flickr 7
- 8. 8
- 10. There’s more? What’s the catch? • We are really in Developer Preview • OpenShift is free-as-in-beer & free-as-in-freedom • Three 512 MB RAM / 1 GB storage gears • Need more resources, just ask! 10
- 12. Spatial is fun The only spatial functionality Mongo currently has is: 1) Near 2) Containment All of it is laid out on one page: http://www.mongodb.org/display/DOCS/Geospatial+Inde xing First link on a google search for “mongodb spatial indexing” 12
- 13. Caveats 1. Assumes coords. are between -180 and 180 2. Can handle any 2D coordinates 3. Has methods to handle curvature of the earth (spherical) 13
- 14. How to make it work 1) Put your coordinates into an arrary { loc : [ 50 , 30 ] } //SUGGESTED OPTION { loc : { x : 50 , y : 30 } } { loc : { foo : 50 , y : 30 } } { loc : { lon : 40.739037, lat: 73.992964 } } 2) Make a 2d index db.places.ensureIndex( { loc : "2d" } ) 14
- 15. Demo 1. I have an JEE6 app and a mongo instance running 2. Loaded some spatial data in JSON format 3. Made the 2d index 4. Do some fun spatial and MongoDB work 5. Show you the web services 15
- 16. Conclusion 1. Spatial is easy and fun on Mongo 2. You can now build your own FourSquare or other checkin application. 3. You can also build your own field data entry system. 4. You can build and deploy your application quickly without having to think about infrastructure. SIGN UP CODE: mongosv12 http://openshift.redhat.com 16