CEOSAP
【赛迪网讯】2月16日消息,SAP公司CEO在本周三表示,目前信息技术领域掀起了一股合并狂潮,而这股狂潮必将把那些规模较小的开放资源运营商扫地出门。美联社报道,SAP公司的主营业务集中在企业资源管理领域,并且涵盖客户关系管理市场,然而随着开放资源软件制造商的兴起,例如OpenMFG、SugarCRM以及Compiere等,SAP遇到了前所未有的压力。然而,在开放资源商务大会上,SAP公司公司副总裁表示,这些开 放资源运营商目前还不够成熟,因此撼动SAP的地位仍然只能是纸上谈兵而已。“我们相信,在这股整合狂潮的席卷下,开放资源软件运营商根本挺不到进入成熟期。”副总裁先生克力夫如是说。
实际上,克力夫已经不是第一位对开放资源泼冷水的私有软件制造商领导了,然而分析家表示,这些私有软件制造商的豪言壮语,很大程度上是在为自己壮胆,私下里多家表示不在乎开放资源的软件制造商已经悄悄的开启了开源计划,例如蓝色巨人IBMN购买了开放资源Java应用程序服务公司Gluecode,与此同时数据库软件巨头甲骨文也正在酝酿对于开源数据库运营商MySQL的收购。不过克力夫先生仍然在大会上坚持了自己的观点:“哪家开放资源软件运营商可以在这股收购合并狂潮中幸存下来?Linux毫无疑问是其中之一,火狐浏览器Mozilla也许也可以,不过其他公司的可能性微乎其微。” (n102)
作者:言文

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

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


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