Mongo sf spatialmongo
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The document introduces MongoDB's spatial functionality for geospatial queries and provides an overview of loading spatial data and creating a 2d index in MongoDB, demonstrating basic nearby and containment queries and showing example code for building applications using spatial data with MongoDB deployed on OpenShift's free Platform as a Service cloud offering.
![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 } }
6) Make a 2d index
db.places.ensureIndex( { loc : "2d" } )
11](https://image.slidesharecdn.com/mongosf-spatialmongo-120504181431-phpapp02/85/Mongo-sf-spatialmongo-11-320.jpg)
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Mongo sf spatialmongo
- 1. Get your Spatial on with MongoDB in the Cloud Steven Citron-Pousty PaaS Dust Spreader, Red Hat 1
- 2. Agenda • Learn a little spatial • Load some spatial data into MongoDB • Do a query or two • Show some server-side code using it • MAKE YOU A ROCKSTAR!! 2
- 3. Assumptions 1) You can use the command line 2) You are comfortable with MongoDB command line 3) 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, auto-scaling Platform as a Service (PaaS) for applications in the cloud. 4
- 5. Kind of like Amazon, right? Nope. 5
- 7. Looks great, but what’s the catch? • OpenShift is free-as-in-beer & free-as-in-freedom • Three 1.5 GB RAM / 3 GB storage gears • Need more resources, just ask! • We are in Developer Preview 7
- 8. On to Spatial and MongoDB 8
- 9. Spatial is fun! The only spatial functionality MongoDB currently has is: 2) Near 3) Containment All of it is laid out on one page: http://www.mongodb.org/display/DOCS/Geospatial+Indexing First link on a google search for “MongoDB spatial indexing” 9
- 10. Caveats 1. Assumes coordinates are between -180 and 180 2. Can handle any 2d coordinates 3. Has methods to handle curvature of the earth (spherical) 10
- 11. 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 } } 6) Make a 2d index db.places.ensureIndex( { loc : "2d" } ) 11
- 12. Demo 1. I have an app and a MongoDB instance running 2. Load some spatial data in JSON format 3. Make the 2d index 4. Do a bunch of command you would need in building an app (except Deleting docs, because that is easy cheezy) 12
- 13. Conclusion 1. Spatial is easy and fun on MongoDB! 2. You can now build your own FourSquare or other check-in 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. 13
Editor's Notes
- #2: ----- Meeting Notes (5/4/12 13:02) ----- Questions at the mic Comment cards and the green card at the back Cheers for Katie & 10gen for running a great