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For the special case of INSERT VALUES a list of substitution tuples allows the query engine to perform the inserts in optimized batch mode. Thus the fastest way to perform the three inserts given earlier is:
Using an INSERT statement with RETURNING clause for PostgreSQL (since 8.2). The returned list is identical to the result of a INSERT. Firebird has the same syntax in Data Modification Language statements (DSQL); the statement may add at most one row. [2] In stored procedures, triggers and execution blocks (PSQL) the aforementioned Oracle syntax ...
WHERE clauses are not mandatory clauses of SQL DML statements, but can be used to limit the number of rows affected by a SQL DML statement or returned by a query. In brief SQL WHERE clause is used to extract only those results from a SQL statement, such as: SELECT, INSERT, UPDATE, or DELETE statement. [1]
Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})
A HAVING clause in SQL specifies that an SQL SELECT statement must only return rows where aggregate values meet the specified conditions. [ 1 ] : 125–127 Use
Before code can access the data, it must open the cursor with the OPEN statement. Directly following a successful opening, the cursor is positioned before the first row in the result set. OPEN cursor_name. Applications position cursors on a specific row in the result set with the FETCH statement. A fetch operation transfers the data of the row ...
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”.
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 ...