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A common table expression, or CTE, (in SQL) is a temporary named result set, derived from a simple query and defined within the execution scope of a SELECT, INSERT, UPDATE, or DELETE statement. CTEs can be thought of as alternatives to derived tables , views, and inline user-defined functions.
The sub-categories consist of groups of ATU-numbers. The grouping is taken from Aarne, Antti; Thompson, Stith (1964). [1] The individual ATU-number(s) for each article, used to put articles into these groups, come from wikidata and/or the article itself. For example, The Fox and the Crane is ATU type 60. [2]
SQL includes operators and functions for calculating values on stored values. SQL allows the use of expressions in the select list to project data, as in the following example, which returns a list of books that cost more than 100.00 with an additional sales_tax column containing a sales tax figure calculated at 6% of the price.
ATU – auto top-up unit; AUV – authonomus underwater vehicle; AV – annular velocity or apparent viscosity; AVGMS – annulus vent gas monitoring system; AVO – amplitude versus offset (geophysics) AWB/V – annulus wing block/valve ; AWO – approval for well operation; ATM – at the moment
The listagg function, as defined in the SQL:2016 standard [2] aggregates data from multiple rows into a single concatenated string. In the entity relationship diagram , aggregation is represented as seen in Figure 1 with a rectangle around the relationship and its entities to indicate that it is being treated as an aggregate entity.
SQL—Structured Query Language; SRAM—Static Random-Access Memory; SSA—Static Single Assignment; SSD—Software Specification Document; SSD—Solid-State Drive; SSDP—Simple Service Discovery Protocol; SSE—Streaming SIMD Extensions; SSH—Secure Shell; SSI—Server Side Includes; SSI—Single-System Image; SSI—Small-Scale Integration
In SQL, the data manipulation language comprises the SQL-data change statements, [3] which modify stored data but not the schema or database objects. Manipulation of persistent database objects, e.g., tables or stored procedures, via the SQL schema statements, [3] rather than the data stored within them, is considered to be part of a separate data definition language (DDL).
Major DBMSs, including SQLite, [5] MySQL, [6] Oracle, [7] IBM Db2, [8] Microsoft SQL Server [9] and PostgreSQL [10] support prepared statements. Prepared statements are normally executed through a non-SQL binary protocol for efficiency and protection from SQL injection, but with some DBMSs such as MySQL prepared statements are also available using a SQL syntax for debugging purposes.