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  2. Update (SQL) - Wikipedia

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

    UPDATE table_name SET column_name = value [, column_name = value ... ] [ WHERE condition ] For the UPDATE to be successful, the user must have data manipulation privileges ( UPDATE privilege) on the table or column and the updated value must not conflict with all the applicable constraints (such as primary keys , unique indexes, CHECK ...

  3. Functional database model - Wikipedia

    en.wikipedia.org/wiki/Functional_Database_Model

    When the value of a cell is requested, the value that is returned is up to date with respect to the values of all of the cells that go into its calculation i.e. the cells on which it depends. Dimensions typically contain consolidation hierarchies where some elements are defined as parents of other elements, and a parent is interpreted as the ...

  4. Check constraint - Wikipedia

    en.wikipedia.org/wiki/Check_constraint

    This is contrary to predicates in WHERE clauses in SELECT or UPDATE statements. For example, in a table containing products, one could add a check constraint such that the price of a product and quantity of a product is a non-negative value: price >= 0 quantity >= 0

  5. Virtual column - Wikipedia

    en.wikipedia.org/wiki/Virtual_column

    In relational databases a virtual column is a table column whose value(s) is automatically computed using other columns values, or another deterministic expression. Virtual columns are defined of SQL:2003 as Generated Column, [1] and are only implemented by some DBMSs, like MariaDB, SQL Server, Oracle, PostgreSQL, SQLite and Firebird (database server) (COMPUTED BY syntax).

  6. Prepared statement - Wikipedia

    en.wikipedia.org/wiki/Prepared_statement

    In the above example, the application might supply the values "bike" for the first parameter and "10900" for the second parameter, and then later the values "shoes" and "7400". The alternative to a prepared statement is calling SQL directly from the application source code in a way that combines code and data.

  7. Database normalization - Wikipedia

    en.wikipedia.org/wiki/Database_normalization

    In situations where the number of unique values of a column is far less than the number of rows in the table, column-oriented storage allow significant savings in space through data compression. Columnar storage also allows fast execution of range queries (e.g., show all records where a particular column is between X and Y, or less than X.)

  8. Unnormalized form - Wikipedia

    en.wikipedia.org/wiki/Unnormalized_form

    Columns have unique names within the same table. Each column has a domain (or data type) which defines the allowed values in the column. All rows in a table have the same set of columns. This definition does not preclude columns having sets or relations as values, e.g. nested tables. This is the major difference to first normal form.

  9. Alias (SQL) - Wikipedia

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

    Columns with unspecified aliases will be left unaliased. This syntax is often used with expressions that do not produce useful table and column names, such as VALUES [ 4 ] and UNNEST. [ 5 ] As an example, one may conveniently test the above SQL statements without creating an actual Departments table by using expressions such as