欢迎进入Windows社区论坛,与300万技术人员互动交流 >>进入 /****** Object: Trigger [dbo].[TR_C0T14] Script Date: 11/01/2011 13:21:04 ******/ SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO ―― ===========================================
欢迎进入Windows社区论坛,与300万技术人员互动交流 >>进入
/****** Object: Trigger [dbo].[TR_C0T14] Script Date: 11/01/2011 13:21:04 ******/ SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO
―― =============================================―― Author:
――DROP TRIGGER TR_C0T14
CREATE TRIGGER [dbo].[TR_C0T14] ON [dbo].[C0T14] FOR INSERT,UPDATE,DELETE AS BEGIN IF NOT EXISTS(SELECT * FROM deleted)
BEGIN /*插入*/ INSERT INTO leamon_test……C0T14(RATINGID,[BROKER],BROKERRATE,SFRATE,SFVALUE,F_OP1,F_OP2,F_OPC1,F_OPC2,F_9997,f_9998)
SELECT RATINGID,[BROKER],BROKERRATE,SFRATE,SFVALUE,F_OP1,F_OP2,F_OPC1,F_OPC2,F_9997,f_9998 FROM inserted WHERE NOT EXISTS (SELECT TOP 1 * FROM leamon_test……C0T14 WHERE inserted.RATINGID = leamon_test……C0T14.RATINGID)
END /*删除*/ ELSE IF NOT EXISTS(SELECT * FROM inserted)
DELETE FROM leamon_test……C0T14 WHERE RATINGID IN (SELECT RATINGID FROM deleted)
/*更新*/ ELSE BEGIN UPDATE leamon_test……C0T14 SET RATINGID = inserted.RATINGID,[BROKER] = inserted.[BROKER],BROKERRATE = inserted.BROKERRATE,SFRATE = inserted.SFRATE,SFVALUE = inserted.SFVALUE,F_OP1 = inserted.F_OP1,F_OP2 = inserted.F_OP2,F_OPC1 = inserted.F_OPC1,F_OPC2 = inserted.F_OPC2,F_9997 = inserted.F_9997,f_9998 = inserted.f_9998 FROM inserted WHERE inserted.RATINGID = leamon_test……C0T14.RATINGID AND (inserted.[BROKER] leamon_test……C0T14.[BROKER] OR inserted.BROKERRATE leamon_test……C0T14.BROKERRATE OR inserted.SFRATE leamon_test……C0T14.SFRATE OR inserted.SFVALUE leamon_test……C0T14.SFVALUE OR inserted.F_OP1 leamon_test……C0T14.F_OP1 OR inserted.F_OP2 leamon_test……C0T14.F_OP2 OR inserted.F_OPC1 leamon_test……C0T14.F_OPC1 OR inserted.F_OPC2 leamon_test……C0T14.F_OPC2 OR inserted.F_9997 leamon_test……C0T14.F_9997 OR inserted.f_9998 leamon_test……C0T14.f_9998)
END

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi

MySQL functions can be used for data processing and calculation. 1. Basic usage includes string processing, date calculation and mathematical operations. 2. Advanced usage involves combining multiple functions to implement complex operations. 3. Performance optimization requires avoiding the use of functions in the WHERE clause and using GROUPBY and temporary tables.

Efficient methods for batch inserting data in MySQL include: 1. Using INSERTINTO...VALUES syntax, 2. Using LOADDATAINFILE command, 3. Using transaction processing, 4. Adjust batch size, 5. Disable indexing, 6. Using INSERTIGNORE or INSERT...ONDUPLICATEKEYUPDATE, these methods can significantly improve database operation efficiency.

In MySQL, add fields using ALTERTABLEtable_nameADDCOLUMNnew_columnVARCHAR(255)AFTERexisting_column, delete fields using ALTERTABLEtable_nameDROPCOLUMNcolumn_to_drop. When adding fields, you need to specify a location to optimize query performance and data structure; before deleting fields, you need to confirm that the operation is irreversible; modifying table structure using online DDL, backup data, test environment, and low-load time periods is performance optimization and best practice.


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