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To insert multiple rows in MS SQL you can use such a construction: INSERT INTO phone_book SELECT 'John Doe' , '555-1212' UNION ALL SELECT 'Peter Doe' , '555-2323' ; Note that this is not a valid SQL statement according to the SQL standard ( SQL:2003 ) due to the incomplete subselect clause.
The Data Manipulation Language (DML) is the subset of SQL used to add, update and delete data: INSERT adds rows (formally tuples ) to an existing table, e.g.: INSERT INTO example ( column1 , column2 , column3 ) VALUES ( 'test' , 'N' , NULL );
The SQL EXCEPT operator takes the distinct rows of one query and returns the rows that do not appear in a second result set. For purposes of row elimination and duplicate removal, the EXCEPT operator does not distinguish between NULLs .
Additionally there is a single-row version, UPDATE OR INSERT INTO tablename (columns) VALUES (values) [MATCHING (columns)], but the latter does not give you the option to take different actions on insert versus update (e.g. setting a new sequence value only for new rows, not for existing ones.)
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).
Before Insert; The four main types of triggers are: Row-level trigger: This gets executed before or after any column value of a row changes. Column-level trigger: This gets executed before or after the specified column changes. For each row type: This trigger gets executed once for each row of the result set affected by an insert/update/delete.
In a relational database, a row or "record" or "tuple", represents a single, implicitly structured data item in a table. A database table can be thought of as consisting of rows and columns . [ 1 ] Each row in a table represents a set of related data, and every row in the table has the same structure.
by adding a SQL window function to the SELECT-statement; ISO SQL:2008 introduced the FETCH FIRST clause. According to PostgreSQL v.9 documentation, an SQL window function "performs a calculation across a set of table rows that are somehow related to the current row", in a way similar to aggregate functions. [7]