The database become more fragmented whenever you delete any large data from your sql database
. It is always a very good practice to optimize your database time by time especially if you are dealing with a lot of varying characters (VARCHAR).

Optimizing a single table is very easy. Here is the command that how we can optimize MySQL database single table with command line.

OPTIMIZE TABLE  myTBL

The above command only work on single tabe but if you want 更多相关的内容 »
comments 讨论   addto 把此链接加入于...  recommend 与朋友分享   report 已已沉
第一种情况: 目标数据库中存在与导出用户的缺省表空间同名的表空间,此时,一定要将导入用户的 unlimited tablespace 权限 revoke 掉,否则,数据将全部被导入到那个同名的表空间中,而不是导入用户的缺省表空间中。 1、 更多相关的内容 »
comments 讨论   addto 把此链接加入于...  recommend 与朋友分享   report 已已沉

My recent poll What alert monitoring do you use? showed 25% of the 58 respondents to bravely state they had no MySQL monitoring. I see 1 in 3, ~33% in my consulting so this is consistent.

 There is no excuse to not have some MySQL Monitoring on your production system. At the worse case, you should be logging

更多相关的内容 »
comments 讨论   addto 把此链接加入于...  recommend 与朋友分享   report 已已沉

在当前的全业务运营环境下,电信运营商需要将各种数据进行整合和利用,中国移动凭借多年的积累,使自身对移动数据管理的技术走在业界前面。中国移动通信集 团河北有限公司在其企业内最大的IT系统(BOSS系统)规划建设过程中进行了有益的尝试,采用了“海量数据分级管理”的方式,实现了在线数据的可靠高效 存储与应用,使企业各种软硬件资源达到最佳匹配,从而提升企业海量数据的应用效力,并取得了初步成效。数据是业务运转的基础。不管 一个企业的数据量是多少,这些数据都是关乎着企业命脉的宝贵资产。在金融、电信行业,税务、工商等政府部门及大型企业中,随着业务不断发展,数据量的增长 是十分惊人的,在庞大的数据量背后,企业CIO面临的数据维护问题主要涉及存储空间不足、存储维护成本高昂、庞大的数据处理对主机的压力、数据安全等这几 个方面。

在这种数据量的增长之下,企业不得不购买更多磁盘、磁带等存储设备,而管理越来越复杂,主机的压 更多相关的内容 »
comments 讨论   addto 把此链接加入于...  recommend 与朋友分享   report 已已沉

在这种数据量的增长之下,企业不得不购买更多磁盘、磁带等存储设备,而管理越来越复杂,主机的压">submit '《通信世界》报道:海量数据分级管理提升应用效力' to digg   submit '《通信世界》报道:海量数据分级管理提升应用效力' to reddit   submit '《通信世界》报道:海量数据分级管理提升应用效力' to Pligg   submit '《通信世界》报道:海量数据分级管理提升应用效力' to yahoo   |   书签  

Use this comparison matrix to learn about the differences between – and relative benefits of – the popular open source databases MySQL, PostgreSQL, Derby and 更多相关的内容 »
comments 讨论   addto 把此链接加入于...  recommend 与朋友分享   report 已已沉

CSQL Cache is an open-source high performance, bi-directional updateable data-caching infrastructure that sits between the clustered application process and back-end data sources to provide unprecedented high throughput to your application.

Improving Database Performance Using Database Cache

Many applications today are being developed and deployed on multi-tier environments that involve browser-based clients, web application servers and backend databases. These application 更多相关的内容 »
comments 讨论   addto 把此链接加入于...  recommend 与朋友分享   report 已已沉

Last week we discussed the myth that a heavily indexed row-store can provide column-store-like performance. In particular, there is a common misconception that a column-store is basically like having a row-store with an index on every column. In fact, an indexed column in a row-store and a regular column in a column-store are very different data structures: an index maps column values to tuple IDs while a column maps tuple IDs to column values. The different data structures are useful in differ 更多相关的内容 »
comments 讨论   addto 把此链接加入于...  recommend 与朋友分享   report 已已沉