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JSON Basics
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JSON Basics

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Questions and Answers

What is JSON an abbreviation for?

  • Java Object Notation
  • Just Object Notation
  • Java Scripting Object Notation
  • JavaScript Object Notation (correct)
  • JSON objects can have object IDs.

    False

    What are the key-value pairs in JSON objects?

    attribute name and value

    JSON is widely used for data exchange in modern applications, especially in _______________ services.

    <p>web</p> Signup and view all the answers

    What is the type of data structure used to store multiple values in JSON?

    <p>Array</p> Signup and view all the answers

    SQL extensions are not available for JSON data types.

    <p>False</p> Signup and view all the answers

    Match the JSON data type with its description:

    <p>String = A sequence of characters Integer = A whole number Real = A decimal number Object = A key-value map</p> Signup and view all the answers

    What is the main advantage of using semi-structured data in data exchange?

    <p>It enables data exchange between applications</p> Signup and view all the answers

    XML is a relatively new notation for semi-structured data.

    <p>False</p> Signup and view all the answers

    What are some examples of semi-structured data models?

    <p>JSON and XML</p> Signup and view all the answers

    XML stands for ______________________ Markup Language.

    <p>Extensible</p> Signup and view all the answers

    Why may the relational model's requirement of atomic data types be an overkill in some applications?

    <p>Because it may not be necessary for storing complex data</p> Signup and view all the answers

    Match the following semi-structured data models with their characteristics:

    <p>JSON = Widely used in web-services XML = Uses tags to mark up text Semi-structured Data = Schema changes often Relational Model = Requires atomic data types</p> Signup and view all the answers

    What is a characteristic of semi-structured data models?

    <p>Flexible schema</p> Signup and view all the answers

    JSON is a document format.

    <p>False</p> Signup and view all the answers

    What is the purpose of JSON_agg aggregate function in PostgreSQL?

    <p>To create a JSON collection using aggregation</p> Signup and view all the answers

    In JSON, character encoding is strictly _______________.

    <p>UNICODE</p> Signup and view all the answers

    Match the following data types with their descriptions:

    <p>Arrays = Widely used for scientific and monitoring applications Multisets = Modelled using non-first-normal-form (NFNF) data model Key-value map = Store a set of key-value pairs Sets = E.g., {‘basketball, ‘La Liga’, ‘cooking’, ‘anime’, ‘jazz’}</p> Signup and view all the answers

    JSON has namespaces.

    <p>False</p> Signup and view all the answers

    What is an example of an array database?

    <p>All of the above</p> Signup and view all the answers

    In JSON, the _______________ function is used to generate JSON from relational data.

    <p>json.build_object</p> Signup and view all the answers

    What is the purpose of an object-relational mapping (ORM) system?

    <p>To specify mapping between programming language objects and database tuples</p> Signup and view all the answers

    What is a characteristic of JSON?

    <p>Not a document format</p> Signup and view all the answers

    Study Notes

    JSON

    • JSON is a minimal, textual, language-independent representation widely used for data exchange.
    • It is a notation for representing data in a format that is easy for humans to read and write.
    • JSON is versionless and does not have namespaces, it uses context to avoid ambiguity.
    • Character encoding is strictly Unicode.
    • JSON is not a document format and is not a markup language.

    Generating JSON from Relational Data

    • JSON can be generated from relational data using object-relational mapping.
    • Example: json.build_object(‘ID’, 12345, ‘name’, ‘Einstein’)
    • JSON collections can be created using aggregation functions such as json_agg in PostgreSQL.

    Semi-Structured Data Models

    • Semi-structured data models have flexible schemas, allowing each tuple to have a different set of attributes.
    • They support multivalued data types, such as sets, multisets, and key-value maps.
    • Examples: set of interests {‘basketball, ‘La Liga’, ‘cooking’, ‘anime’, ‘jazz’}, key-value map {(brand, Apple), (ID, MacBook Air), (size, 13), (color, silver)}.
    • Operations on maps: put(key, value), get(key), delete(key).

    Arrays

    • Arrays are widely used for scientific and monitoring applications.
    • Examples: readings taken at regular intervals can be represented as an array of values instead of (time, value) pairs.
    • Array databases provide specialized support for arrays, such as compressed storage and query language extensions.
    • Examples of array databases: Oracle GeoRaster, PostGIS, SciDB.

    Object-Relational Data Model

    • The object-relational data model provides a richer type system with complex data types and object orientation.
    • Applications are often written in object-oriented programming languages, which do not match the relational type system.
    • Approaches for integrating object-orientation with databases include:
      • Building an object-relational database by adding object-oriented features to a relational database.
      • Automatically converting data between programming language models and relational models using object-relational mapping.
      • Building an object-oriented database that natively supports object-oriented data and direct access from programming languages.

    Object-Relational Database Systems

    • User-defined types can be created using object-relational database systems.
    • Table types can be created using array and multiset data types.
    • Example: create type Person (ID varchar(20) primary key, name varchar(20), address varchar(20)) ref from(ID); create table people of Person;

    Type and Table Inheritance

    • Type inheritance allows for the creation of new types based on existing types.
    • Example: create type Student under Person (degree varchar(20)); create type Teacher under Person (salary integer);
    • Table inheritance syntax in PostgreSQL and Oracle: create table students (degree varchar(20)) inherits people; create table teachers (salary integer) inherits people;

    Reference Types

    • Creating reference types: create type Person (ID varchar(20) primary key, name varchar(20), address varchar(20)) ref from(ID); create table people of Person;
    • Using references in path expressions: select head->name, head->address from departments;

    Object-Relational Mapping

    • Object-relational mapping (ORM) systems allow for the specification of mapping between programming language objects and database tuples.
    • Automatic creation of database tuples upon creation of objects.
    • Automatic update/delete of database tuples when objects are updated/deleted.
    • Interface to retrieve objects satisfying specified conditions.
    • Examples: Hibernate ORM for Java, Django ORM for Python.

    XML

    • XML: Extensible Markup Language.
    • Earlier generation notation, still used extensively.
    • XML uses tags to mark up text.
    • Example: Intro.to Computer Science “..” specifies the parent.doc(name) returns the root of a named document.

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    Description

    This quiz covers the basics of JSON, including its features, versions, and how it is used to represent data. It also touches on generating JSON from relational data.

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