Spatial Mongo Intro at Open Cloud Conf.

  • 668 views
Uploaded on

An introduction to Spatial Mongo I gave at Open Cloud Conf. Look for the PDF that contains the SQL I used during the talk.

An introduction to Spatial Mongo I gave at Open Cloud Conf. Look for the PDF that contains the SQL I used during the talk.

More in: Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
No Downloads

Views

Total Views
668
On Slideshare
0
From Embeds
0
Number of Embeds
1

Actions

Shares
Downloads
7
Comments
0
Likes
1

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Get your Spatial on with MongoDB in the Cloud Steven Citron-Pousty PaaS Dust Spreader, Red Hat1
  • 2. Agenda • Learn a little spatial • Load some spatial data into MongoDB • Do a query or two • Show some server-side code using it2
  • 3. Assumptions 1) You can use the command line 2) You are comfortable with MongoDB command line 3) Please ask questions3
  • 4. What is OpenShift? Red Hats free, auto-scaling Platform as a Service (PaaS) for applications in the cloud.4
  • 5. Kind of like Amazon, right? Nope.5
  • 6. What’s supported?6
  • 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!7
  • 8. On to Spatial and MongoDB8
  • 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