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  2. WHOIS - Wikipedia

    en.wikipedia.org/wiki/WHOIS

    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 ...

  3. Sphinx (search engine) - Wikipedia

    en.wikipedia.org/wiki/Sphinx_(search_engine)

    The Sphinx search daemon supports the MySQL binary network protocol and can be accessed with the regular MySQL API and/or clients. Sphinx supports a subset of SQL known as SphinxQL. It supports standard querying of all index types with SELECT, modifying RealTime indexes with INSERT, REPLACE, and DELETE, and more.

  4. View (SQL) - Wikipedia

    en.wikipedia.org/wiki/View_(SQL)

    Views take very little space to store; the database contains only the definition of a view, not a copy of all the data that it presents. Views structure data in a way that classes of users find natural and intuitive. [2] Just as a function (in programming) can provide abstraction, so can a database view. In another parallel with functions ...

  5. Information schema - Wikipedia

    en.wikipedia.org/wiki/Information_schema

    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:

  6. Presto (SQL query engine) - Wikipedia

    en.wikipedia.org/wiki/Presto_(SQL_query_engine)

    Presto (including PrestoDB, and PrestoSQL which was re-branded to Trino) is a distributed query engine for big data using the SQL query language. Its architecture allows users to query data sources such as Hadoop, Cassandra, Kafka, AWS S3, Alluxio, MySQL, MongoDB and Teradata, [1] and allows use of multiple data sources within a query.

  7. Materialized view - Wikipedia

    en.wikipedia.org/wiki/Materialized_view

    In computing, a materialized view is a database object that contains the results of a query. For example, it may be a local copy of data located remotely, or may be a subset of the rows and/or columns of a table or join result, or may be a summary using an aggregate function .

  8. Shared Whois Project - Wikipedia

    en.wikipedia.org/wiki/Shared_Whois_Project

    The Shared Whois Project (SWIP) is the process used to submit, maintain and update information to ensure up-to-date and efficient maintenance of WHOIS records, as structured in RFC 1491. [1]

  9. Query Abstraction Layer - Wikipedia

    en.wikipedia.org/wiki/Query_Abstraction_Layer

    Sources and destinations include different database backends, file formats like .csv, XML and spreadsheets. Even untidy HTML web pages can be used as both a source and destination. For SQL/RDBMS backends, it has a database abstraction layer that supports basic connectivity to Postgres, MySQL / MariaDB, IBM Db2, Oracle and MS SQL Server. [4]