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It also supports >REPLACE INTO syntax, [6] which first attempts an insert, and if that fails, deletes the row, if exists, and then inserts the new one. There is also an IGNORE clause for the INSERT statement, [ 7 ] which tells the server to ignore "duplicate key" errors and go on (existing rows will not be inserted or updated, but all new rows ...
An SQL UPDATE statement changes the data of one or more records in a table. Either all the rows can be updated, or a subset may be chosen using a condition. The UPDATE statement has the following form: [1] UPDATE table_name SET column_name = value [, column_name = value ...] [WHERE condition]
CREATE OR REPLACE TRIGGER TableTrigger AFTER INSERT OR UPDATE OR DELETE ON OriginalTable FOR EACH ROW DECLARE Now TIMESTAMP; BEGIN SELECT CURRENT_TIMESTAMP INTO Now FROM Dual; UPDATE HistoryTable SET EndDate = Now WHERE EndDate IS NULL AND Column1 =: OLD. Column1; IF: NEW. Column1 IS NOT NULL THEN INSERT INTO HistoryTable (Column1, Column2 ...
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 ...
In addition to SQLSTATE the SQL command GET DIAGNOSTICS offers more details about the last executed SQL command. In very early versions of the SQL standard the return code was called SQLCODE and used a different coding schema. The following table lists the standard-conforming values - based on SQL:2011. [1]
A use case of this function is to replace in an expression a NULL by a value like in NVL(SALARY, 0) which says, 'if SALARY is NULL, replace it with the value 0'. There is, however, one notable exception. In most implementations, COALESCE evaluates its parameters until it reaches the first non-NULL one, while NVL evaluates all of its parameters ...
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In SQL, wildcard characters can be used in LIKE expressions; the percent sign % matches zero or more characters, and underscore _ a single character. Transact-SQL also supports square brackets ([and ]) to list sets and ranges of characters to match, a leading caret ^ negates the set and matches only a character not within the list.