online shopping database design

Tags: SQL requires rule number value Source response stage calculationDirectoryOverall design processDemand analysisConceptual structure DesignLogical Structure DesignPhysical Design of databaseDatabase implementationDatabase operation and MaintenanceOverall design processDatabase Design steps:Design Description:Databa

yotube video, because it is known for reasons that cannot be viewed domestically, I have shared the original video to the csdn download area, download the free points, this tutorial will teach you these three paradigms."Paradigm" is a very important criterion. But suppose to obey completely. If you don't make the slightest change, you'll often get into trouble. When I design a database, I keep these 11 imp

as a tableUse the partition key sparingly, and cross-partition queries may be less efficient.It is recommended to use physical tables to manage big data.6. Try to separate the hot and cold data and reduce the width of the table.Reduce disk IO to ensure memory cache hit rate for hot dataUse caching more efficiently to avoid reading useless cold dataPlace the columns that you frequently use together in a table.7. Prohibit the creation of reservation fields in a tableNaming of reserved fields is d

Label:OverviewRegardless of which database we use, no matter how we design the database, I would like to follow a principle: data security and performance efficiency of the two main aspects, but about these two aspects of the topic too much, here is not a statement, I just from the database of physical distribution

father of the Codd 12 ruleIn addition, we review the 12 rules of the parent codd of the database as a guideline for database design: Information LawAll information in a relational database is represented in a unique way-the values in the table. Guaranteed access lawsThe combination of table name, primary key

Here's a look at the 3-level paradigm.1. First paradigm (ensuring that each column remains atomic)The first paradigm is the most basic paradigm. If all the field values in a database table are non-exploded atomic values, the database table satisfies the first paradigm.such as the user's address, the system can be designed to use only one field for example: Shenzhen South Mt. District Chinese communication a

Making Oracle run faster 2-database design and optimization based on massive data Edit recommendations The first domestic project was created based on the author's 10 years of work experience. Books on Database Design and Optimization Based on massive data Basic Information Author:Tan Huaiyuan Series Name:Itpub Techn

Consult the database design again. Want to develop a clothing system yourself, encounter a problem, is a garment may have more than one color, there are a variety of sizes (number of different), a variety of colors (the number of different), different sizes and colors are different prices, I le a go. Want to ask the heroes, you encounter this situation, how to dial, but also to facilitate the product

The database design occupies the important position in the software development process, the domestic developer Meteorseed in the blog unifies own actual experience comprehensively summarizes each aspect which the relational database design needs to pay attention, including Codd Basic Law, the

type_father field in type_table_2 is redundant data and can be removed. In this case, when inserting or deleting a category, you have to make a tedious judgment on the content of the type_layer, so I have not deleted the type_father field, this is also in line with the principle of appropriately retaining redundant data in the database design to reduce Program Complexity. I will introduce a case of intenti

type list mostly adopt similar design. Some people may think that the type_father field in type_table_2 is redundant data and can be removed. In this case, when inserting or deleting a category, you have to make a tedious judgment on the content of the type_layer, so I have not deleted the type_father field, this is also in line with the principle of appropriately retaining redundant data in the database

As a data container, the database not only has a great impact on the performance of the program, but also has a great impact on the expansion of the application. therefore, for applications, a well-designed database is very important. how can we design a database with good performance and support for expansion? This is