sql >> Database teknologi >  >> RDS >> Mysql

Begræns heltalsværdi for mysqls kolonne

Tilføj en INSERT/UPDATE-trigger til tabellen, og afvis alle INSERTS, hvor værdien ikke er inden for det definerede interval.

redigeret for at inkludere et eksempel

/*
-- ================================================
-- Template generated from Template Explorer using:
-- Create Trigger (New Menu).SQL
--
-- Use the Specify Values for Template Parameters 
-- command (Ctrl-Shift-M) to fill in the parameter 
-- values below.
--
-- See additional Create Trigger templates for more
-- examples of different Trigger statements.
--
-- This block of comments will not be included in
-- the definition of the function.
-- ================================================
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
-- =============================================
-- Author:      <Author,,Name>
-- Create date: <Create Date,,>
-- Description: <Description,,>
-- =============================================
CREATE TRIGGER <Schema_Name, sysname, Schema_Name>.<Trigger_Name, sysname, Trigger_Name> 
   ON  <Schema_Name, sysname, Schema_Name>.<Table_Name, sysname, Table_Name> 
   AFTER <Data_Modification_Statements, , INSERT,DELETE,UPDATE>
AS 
BEGIN
    -- SET NOCOUNT ON added to prevent extra result sets from
    -- interfering with SELECT statements.
    SET NOCOUNT ON;

    -- Insert statements for trigger here

END
GO
*/

SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO

CREATE TRIGGER [dbo].[utg_ClientsInsert]
ON [dbo].[Clients]
AFTER INSERT,UPDATE
AS
BEGIN
    SET NO COUNT ON

    IF(SELECT COUNT(*) FROM INSERTED) = 0
     BEGIN
        RETURN -- do not execute trigger if no rows
     END

    IF(SELECT COUNT(*) FROM INSERTED WHERE empno NOT BETWEEN 7000 AND 8000) > 0
     BEGIN
        -- don't allow the insert to happen
        RAISERROR('Employee # must be between 7,000 and 8,000.', 18, 1)
     END

END

GO



  1. Konverter SQLITE SQL dump-fil til POSTGRESQL

  2. vise dag gennem gemt procedure

  3. Asynkrone opgaver med Django og selleri

  4. Parsing streng i mysql Date