JSON & MongoDB - Duke University
[Pages:23]JSON & MongoDB
Introduction to Databases CompSci 316 Fall 2019
2
Announcements (Wed. Oct. 23)
? Homework 3 due in 1? weeks ? Project milestone 2 due in 2 weeks ? See email about weekly project progress updates
? Check Sakai email archive if you missed it ? First one is due tonight!
3
JSON (JavaScript Object Notation)
? Very lightweight data exchange format
? Much less verbose and easier to parse than XML ? Increasingly used for data exchange over Web: many
Web APIs use JSON to return responses/results
? Based on JavaScript
? Conforms to JavaScript object/array syntax--you can directly manipulate JSON representations in JavaScript
? But it has gained widespread support by all programming languages
4
Example JSON vs. XML
[
{ "ISBN": "ISBN-10",
"price": 80.00,
"title": "Foundations of Databases",
"authors": [ "Abiteboul", "Hull", "Vianu" ],
"publisher": "Addison Wesley",
"year": 1995,
"sections": [
{ "title": "Section 1",
"sections": [
{ "title": "Section 1.1" },
{ "title": "Section 1.2" }
] }, { "title": "Section 2" } ] }, ... ...
Foundations of Databases
Abiteboul Hull
Vianu Addison Wesley
]
1995
Section 1
Section 1.1
Section 1.2
Section 2
JSON data model
? Two basic constructs
[
{ "ISBN": "ISBN-10",
5
"price": 80.00,
"title": "Foundations of Databases",
"authors": [ "Abiteboul", "Hull", "Vianu" ],
"publisher": "Addison Wesley",
"year": 1995,
"sections": [
{ "title": "Section 1",
"sections": [
{ "title": "Section 1.1" },
{ "title": "Section 1.2" }
]
},
{ "title": "Section 2" }
]
}, ... ...
]
? Array: comma-separated list of "things" enclosed by brackets
? Order is important
? Object: comma-separated set of pairs enclosed by braces; each pair
consists of an attribute name (string) and a value (any "thing")
? Order is unimportant
? Attribute names "should" be unique within an object
? Simple types: numbers, strings (in double quotes), and
special values "true", "false", and "null"
? Thing = a simple value or an array or an object
6
JSON Schema
? Recall the advantages of having a schema
? Defines a structure, helps catch errors, facilitates
exchange/automation, informs optimization...
{
? Just like relational data and
"definitions": { "sections": {
XML, JSON is getting a
"type": "array", "description": "Sections.", "sections": {"$ref":"#definitions/sections"},
schema standard too!
"minItems": 0 }
? Up and coming, but still a
}, "title": "Book", "type": "object",
draft at this stage
"properties": { "ISBN": {
"type": "string",
"description": "The book's ISBN number."
},
"price": {
"type": "number",
"description": "The book's price.",
"exclusiveMinimum": 0
},
... ...
"sections": {"$ref":"#definitions/sections"},
}
}
... ...
}
7
MongoDB
? One of the "NoSQL" poster children ? Started in 2007 ? Targeting semi-structured data in JSON ? Designed to be easy to "scale out" ? Good support for indexing, partitioning, replication ? Nice integration in Web development stacks ? Not-so-great support for joins (or complex queries)
or transactions
8
Inside a MongoDB database
? Database = a number of "collections" ? Collection = a list of "documents" ? Document = a JSON object
? Must have an _id attribute whose value can uniquely identify a document within the collection
In other words, a database has collections of similarly structured "documents"
? Much like tables of records, as opposed to one big XML document that contains all data
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