This is an old revision of this page, as edited by Goodphy(talk | contribs) at 11:10, 24 September 2023(Added more information about queries for easier understanding of what queries are.). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.Revision as of 11:10, 24 September 2023 by Goodphy(talk | contribs)(Added more information about queries for easier understanding of what queries are.)
A query language, also known as data query language or database query language (DQL), is a computer language used to make queries (requesting something to a DB, Data Base) in databases and information systems. A well-known example is the Structured Query Language (SQL). Each query is mostly a request for getting desired information from a DB but queries for modifying the DB contents are also possible.
Types
Broadly, query languages can be classified according to whether they are database query languages or information retrieval query languages. The difference is that a database query language attempts to give factual answers to factual questions, while an information retrieval query language attempts to find documents containing information that is relevant to an area of inquiry. Other types of query languages include:
Full-text. The simplest query language is treating all terms as bag of words that are to be matched with the postings in the inverted index and where subsequently ranking models are applied to retrieve the most relevant documents. Only tokens are defined in the CFG. Web search engines often use this approach.
Boolean. A query language that also supports the use of the Boolean operators AND, OR, NOT.
Structured. A language that supports searching within (a combination of) fields when a document is structured and has been indexed using its document structure.
Natural language. A query language that supports natural language by parsing the natural language query to a form that can be best used to retrieve relevant documents, for example with Question answering systems or conversational search.
FQL enables you to use a SQL-style interface to query the data exposed by the Graph API. It provides advanced features not available in the Graph API.[2]
Gellish English is a language that can be used for queries in Gellish English Databases, for dialogues (requests and responses) as well as for information modeling and knowledge modeling;[3]
PRQLPRQL (Pipelined Relational Query Language) is a modern language for transforming data. Consists of a curated set of orthogonal transformations, which are combined together to form a pipeline.
PTQL based on relational queries over program traces, allowing programmers to write expressive, declarative queries about program behavior.
