Spatial MongoDB, Node.JS, and Express - server-side JS for your application
Download as pptx, pdf2 likes1,578 views
This document summarizes a presentation about building spatial web services using MongoDB and Node.js. The presentation covers loading spatial data into MongoDB, creating 2D spatial indexes, performing spatial queries, and building web services to access the spatial data. It is aimed at developers who already know MongoDB and Node.js, and assumes basic familiarity with the MongoDB command line. The live demo shows examples of spatial queries and operations on sample data.
![How to make it work
1) Put your coordinates into an arrary
{ loc : [ 50 , 30 ] }
{ loc : { x : 50 , y : 30 } }
{ loc : { foo : 50 , y : 30 } }
{ loc : { lon : 40.739037, lat: 73.992964 } }
If you use spherical make sure to put [lon, lat]
2) Make a 2d index
db.places.ensureIndex( { loc : "2d" } )
There is also a Haystack index – buckets the world
11](https://image.slidesharecdn.com/spatialmongonode-130124171851-phpapp01/85/Spatial-MongoDB-Node-JS-and-Express-server-side-JS-for-your-application-11-320.jpg)
Spatial MongoDB, Node.JS, and Express - server-side JS for your application
- 1. Building Spatial Web Services with MongoDB + NodeJS in Less than 30 Minutes 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 •Repo for today’s code is here – •https://github.com/openshift/openshift-mongo-node- express-example SIGN UP CODE: mongoboulder 2
- 3. Assumptions 1)You already know that Node.JS + Mongo is like chocolate and peanut butter 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. Kind of like Amazon, right? Nope. 4
- 7. There’s more? What’s the catch? •OpenShift is free-as-in-beer & free-as-in-freedom •Three 512 MB RAM / 1 GB storage gears •Need more resources, just ask! •We are really in Developer Preview 7
- 9. Spatial is fun The spatial functionality Mongo currently has is: 1)Near 2)Containment All of it is laid out on two pages: http://docs.mongodb.org/manual/applications/geospatial- indexes/ And http://docs.mongodb.org/manual/core/geospatial- indexes/ 9
- 10. Good to know 1.Assumes coords. 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 ] } { loc : { x : 50 , y : 30 } } { loc : { foo : 50 , y : 30 } } { loc : { lon : 40.739037, lat: 73.992964 } } If you use spherical make sure to put [lon, lat] 2) Make a 2d index db.places.ensureIndex( { loc : "2d" } ) There is also a Haystack index – buckets the world 11
- 12. Demo 1.I have a Node.JS app and a mongo instance running, with spatial data and 2D index already created 2.Do some fun spatial and MongoDB work 3.Show you the web services 12
- 13. 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: mongoboulder http://openshift.redhat.com 13