Monday, February 11, 2013

Sample Apps: Spring data MongoDB and JSF Integration Tutorial (PART 2)


Table of Contents:
1. Introduction to sample application (MongoShop Product Catalog)
2. MongoDB schema design and data preparation
3. JSF (PrimeFaces) and Spring data MongoDB Integration
4. Enquriy data with spring data repository and mongotemplate
5. Create, Edit and delete data


MongoDB schema design and data preparation



MongoDB Introduction
MongoDB is a open-source scalable, high-performance NoSQL database. It is a document-oriented Storage. It can store JSON-style documents with dynamic schemas. In this application, each product is stored as JSON-style document in MongoDB.


Schema Design in MongoDB
Each product in the catalog contains general product information (e.g. sku, title, and product type), price details (e.g. retail and list price) and product sub-details (e.g. tracks of audio CDs / chapters of books).

In this application, MongoDB is used. The schema design will be focus more on the data usage. It is different from traditional RDBMS schema design. The schema design in MongoDB should be:


Sample Data:
x= {
  sku: "1000001",
  type: "Audio Album",
  title: "A Love Supreme",
  description: "by John Coltrane",
  publisher: "Sony Music",
  pricing: {
    list: 1200,
    retail: 1100
  },

  details: {
    title: "A Love Supreme [Original Recording Reissued]",
    artist: "John Coltrane",
    genre:  "Jazz" ,
    tracks: [
      "A Love Supreme Part I: Acknowledgement",
      "A Love Supreme Part II - Resolution",
      "A Love Supreme, Part III: Pursuance",
      "A Love Supreme, Part IV-Psalm"
    ],
  }
}

y= {
  sku: "1000002",
  type: "Audio Album",
  title: "Love Song",
  description: "by Khali Fong",
  publisher: "Sony Music",
  pricing: {
    list: 1000,
    retail: 1200
  },

  details: {
    title: "Long Song [Original Recording Reissued]",
    artist: "Khali Fong",
    genre:  "R&B",
    tracks: [
      "Love Song",
      "Spring Wind Blow",
      "Red Bean",
      "SingAlongSong"
    ],
  }
}


z= {
  sku: "1000003",
  type: "Book",
  title: "Node.js for PHP Developers",
  description: "by Owen Peter",
  publisher: "OReilly Media",

  pricing: {
    list: 2500,
    retail: 2100
  },

  details: {
    title: "Node.js for PHP Developers",
    author: "Mark Owen",
    genre:  "Technology",
    chapters: [
      "Introduction to Node",
      "Server-side JS",
      "PHP API",
      "Example"
    ],
  }
}


Sample query to add the data:
db.product.save(x);
db.product.save(y);
db.product.save(z);

Sample query to test the sample data:
db.product.find({'sku':'1000004'});
db.product.find({'type':'Audio Album'});
db.product.find({'type':'Audio Album', 'details.genre': 'Jazz'});

Part 3 of the tutorial ...

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