JSONiq: The History of a Query Language

NoSQL data stores support hierarchical, heterogeneous data such as XML, JavaScript Object Notation (JSON), and Binary JSON (BSON). A need exists for a tailor-made language for querying such hierarchical, heterogeneous datasets. JSONiq was designed from the ground up to support JSON data and run agai...

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Veröffentlicht in:IEEE internet computing Jg. 17; H. 5; S. 86 - 90
Hauptverfasser: Florescu, D., Fourny, G.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.09.2013
IEEE Computer Society
Schlagworte:
Applied sciences
BSON
Computer science; control theory; systems
data
Data models
Database languages
Exact sciences and technology
Grounds
hierarchical query language
History
Information systems. Data bases
Internet
Java (programming language)
JSON
JSONiq
Memory organisation. Data processing
NoSQL
Object oriented modeling
Object-oriented programming
Query processing
semi-structured
Software
Stores
Tables
XML
JAVA language
Query language
Database query
Marshalling
Scripting language
Object oriented
Database
XML language
End-user programming
Database management system
ISSN:1089-7801
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Abstract NoSQL data stores support hierarchical, heterogeneous data such as XML, JavaScript Object Notation (JSON), and Binary JSON (BSON). A need exists for a tailor-made language for querying such hierarchical, heterogeneous datasets. JSONiq was designed from the ground up to support JSON data and run against all JSONor BSON-based data stores, turning them into full-fledged databases.
AbstractList After 40 years of relational databases and of cohabitation between flat tables and object-oriented programming, a new generation of data stores is emerging. Sometimes referred to as NoSQL, this new generation supports hierarchical, heterogeneous data such as XML, JavaScript Object Notation, and Binary JSON. While the abstract querying primitives of the relational algebra (join, selection, projection, and so on) also make a lot of sense in the NoSQL world, a need exists for a tailor-made language for querying hierarchical, heterogeneous datasets. This article briefly summarizes the history of databases, then describes the JSONiq language. JSONiq was designed from the ground up to support JSON data and run against all JSON- or BSON-based data stores, turning them into full-fledged databases.
NoSQL data stores support hierarchical, heterogeneous data such as XML, JavaScript Object Notation (JSON), and Binary JSON (BSON). A need exists for a tailor-made language for querying such hierarchical, heterogeneous datasets. JSONiq was designed from the ground up to support JSON data and run against all JSONor BSON-based data stores, turning them into full-fledged databases.
Author Florescu, D.
Fourny, G.
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Keywords JAVA language
Query language
Database query
Marshalling
Scripting language
Object oriented
Database
XML language
End-user programming
Database management system
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Snippet NoSQL data stores support hierarchical, heterogeneous data such as XML, JavaScript Object Notation (JSON), and Binary JSON (BSON). A need exists for a...
After 40 years of relational databases and of cohabitation between flat tables and object-oriented programming, a new generation of data stores is emerging....
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SubjectTerms Applied sciences
BSON
Computer science; control theory; systems
data
Data models
Database languages
Exact sciences and technology
Grounds
hierarchical query language
History
Information systems. Data bases
Internet
Java (programming language)
JSON
JSONiq
Memory organisation. Data processing
NoSQL
Object oriented modeling
Object-oriented programming
Query processing
semi-structured
Software
Stores
Tables
XML
Title JSONiq: The History of a Query Language
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