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  2. Gadfly (database) - Wikipedia

    en.wikipedia.org/wiki/Gadfly_(database)

    INSERT INTO table [(column [, column...])] subselect CREATE [UNIQUE] INDEX name ON table (column [, column...]) DROP TABLE table DROP INDEX name Multiple statements may be executed in one cursor.execute(S) by separating the statements with semicolons in S, for example S might have the string value:

  3. Insert (SQL) - Wikipedia

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

    select empno, hiretype, hiredate from final table (insert into empsamp (name, salary, deptno, level) values ('mary smith', 35000. 00, 11, 'associate')); Using a SELECT statement after the INSERT statement with a database-specific function that returns the generated primary key for the most recently inserted row.

  4. Oracle metadata - Wikipedia

    en.wikipedia.org/wiki/Oracle_metadata

    Oracle Database provides information about all of the tables, views, columns, and procedures in a database. This information about information is known as metadata. [1] It is stored in two locations: data dictionary tables (accessed via built-in views) and a metadata registry.

  5. DUAL table - Wikipedia

    en.wikipedia.org/wiki/DUAL_table

    SQLite: A VIEW named "dual" that works the same as the Oracle "dual" table can be created as follows: CREATE VIEW dual AS SELECT 'x' AS dummy; SAP HANA has a table called DUMMY that works the same as the Oracle "dual" table. Teradata database does not require a dummy table. Queries like 'select 1 + 1' can be run without a "from" clause/table name.

  6. Select (SQL) - Wikipedia

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

    Although not in standard, most DBMS allows using a select clause without a table by pretending that an imaginary table with one row is used. This is mainly used to perform calculations where a table is not needed. The SELECT clause specifies a list of properties (columns) by name, or the wildcard character (“*”) to mean “all properties”.

  7. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    It supports 'lookup', 'remove', and 'insert' operations. The dictionary problem is the classic problem of designing efficient data structures that implement associative arrays. [2] The two major solutions to the dictionary problem are hash tables and search trees.

  8. SQL - Wikipedia

    en.wikipedia.org/wiki/SQL

    SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...

  9. Help:Table - Wikipedia

    en.wikipedia.org/wiki/Help:Table

    Phabricator request for floating table headers; tabulate, Python module for converting data structures to wiki table markup; wikitables, Python module for reading wiki table markup; H63: Using the scope attribute to associate header cells and data cells in data tables | Techniques for WCAG 2.0. Tables | Usability & Web Accessibility. Yale ...