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Get your Spatial on withMongoDB in the Cloud

Steven Citron-PoustyPaaS Dust Spreader, Red Hat

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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!!

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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

Assumptions

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What is OpenShift?

Red Hat's free, auto-scaling Platform as a Service (PaaS) for applications in the cloud.

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Kind of like Amazon, right? Nope.

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What’s supported?

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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

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On to Spatial and MongoDB

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The only spatial functionality MongoDB currently has is:

1) Near

2) 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”

Spatial is fun!

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1. Assumes coordinates are between -180 and 180

2. Can handle any 2d coordinates

3. Has methods to handle curvature of the earth (spherical)

Caveats

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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 } }

1) Make a 2d index

db.places.ensureIndex( { loc : "2d" } )

How to make it work

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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)

Demo

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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.

Conclusion