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Referral Whois (RWhois) is an extension of the original WHOIS protocol and service. RWhois extends the concepts of WHOIS in a scalable, hierarchical fashion, potentially creating a system with a tree-like architecture. Queries are deterministically routed to servers based on hierarchical labels, reducing a query to the primary repository of ...
This pre-established query command is kept in the data dictionary. Unlike ordinary base tables in a relational database, a view does not form part of the physical schema: as a result set, it is a virtual table [1] computed or collated dynamically from data
It is a successor to the WHOIS protocol, used to look up relevant registration data from such Internet resources as domain names, IP addresses, and autonomous system numbers. While WHOIS essentially retrieves free text, RDAP delivers data in a standard, machine-readable JSON format. [ 1 ]
In any database management system following the relational model, a view is a virtual table representing the result of a database query. Whenever a query or an update addresses an ordinary view's virtual table, the DBMS converts these into queries or updates against the underlying base tables.
WHOIS++ was devised as an extension to the pre-existing WHOIS system. [2] WHOIS was an early networked directory service, originally maintained by SRI International for the Defense Data Network . The WHOIS protocol is still widely used to allow domain ownership records in the Internet to be easily queried.
In relational databases, the information schema (information_schema) is an ANSI-standard set of read-only views that provide information about all of the tables, views, columns, and procedures in a database. [1] It can be used as a source of the information that some databases make available through non-standard commands, such as:
Query rewriting is a typically automatic transformation that takes a set of database tables, views, and/or queries, usually indices, often gathered data and query statistics, and other metadata, and yields a set of different queries, which produce the same results but execute with better performance (for example, faster, or with lower memory use). [1]
A query language, also known as data query language or database query language (DQL), is a computer language used to make queries in databases and information systems. In database systems, query languages rely on strict theory to retrieve information. [1] A well known example is the Structured Query Language (SQL).