MySQL is ideal for client resource management (Customer resource MANAGEMENT,CRM) systems within the support Web site. It is already an integral part of many Web sites, and its price level is unmatched. In addition, in the Dynamic Web site, there is likely to be a considerable number of CRM data to be explored.
As an administrator of the SAP Implementation Group of a telephone company, I became proficient in its superior CRM toolkit. I understand that about 90% of the work in CRM is System configuration implementation and maintenance to meet the changing requirements of the user. A CRM developer must be proficient in the design of processes and structures. Now let's talk about the process you're going through when you use MySQL to create an upgraded, High-performance CRM system.
Design a CRM solution for MySQL
The CRM database is complex: Your user form is linked to your contact method form, which is linked to your address and organization's form, which is linked to your list of things, which is linked to your table of contents, and so on. For some relationships, you need to create complex composite indexes. For other relationships, you may just need a simple index, or you don't need it at all. Updates and deletions in your implementation may or may not be stacked.
This means that you need to be extremely familiar with the tuning methods available in MySQL. But before you can make adjustments, you need to design a CRM process that relies on it to take advantage of these tuning methods.
Logic and Data Flow
As you can see in figure A, you can use the MyISAM table as the source of the report type data. This is useful because when you simply query the database, the ISAM table will be a lightning fast data source. The disadvantage of ISAM is that the table file itself may crash, and updates to its data can easily lead to such problems.
Figure A
To resolve ISAM instability, you can use the InnoDB table to add, update, and delete records in a data table. The InnoDB engine is transactional (transactional), so if the update fails, the data is returned to the state before the change. The InnoDB is more complete on the reference, so the update of the data does not violate any relationship rules between the tables.
What is not reflected in the chart above is that you should always back up your data. In this case, the ISAM table is stored in valuable data. These forms are the things you should back up. You can get the same data in the InnoDB table, but the ISAM table is better suited to the query for the backup process.
The same is true for recovery operations on INNODB tables-they are more appropriate for updates (such as referential integrity, speed, stability, and so on), and they are automatically synchronized with any pending additions/updates. If the InnoDB table crashes, then you can use the ISAM data to rebuild the table, which is why it's best to split the process like this. After all, redundancy equals security.
