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Basic Steps for Database Design
(1) Demand analysis stage: requirement collection and analysis, and data dictionary and data flow diagram are obtained.
(2) conceptual structure design stage: the user needs comprehensive, induction and abstract, the formation of conceptual model, expressed by E-R diagram.
(3) Logical Structure
Tags: details blog. com record identity meaning default cal otherDatabase design Level 3: Building Tables Stairway to Database Design level 3:building Tables Joe Celko, 3 months 9 days ( first published : 2010/05/25) The series This article is part of the stair series : The ladder of database
. First, design databases for the headquarters and each branch. Because of the large data volume, SQL Server is used to create a sales and inventory database for each branch, and an employee database, an inventory database for the
Server 2000.
工欲善其事, its prerequisite
Using the ideal database design tools, such as: SyBase Company's powerdesign, she supports the PB, VB, Delphe and other languages, through the ODBC can connect to the market popular more than 30 databases, including DBase, FoxPro, VFP, SQL Server, etc. I will highlight the use of powerdesign in the future.
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for convenient transportation. Of course, new products may be added to the e-commerce platform in the future. Now we have begun to design the product information table of the platform database. Each sold item has the same attributes, such as the product ID, product name, product category, related information, supplier, number of items included, inventory, purcha
data redundancy.
Second, the design of the commodity information table Assuming you are a developer at a department store computer, one day the boss asks you to develop an online E-commerce platform for the company, which has thousands of items for sale, but is currently only going to sell dozens of kinds of goods that are convenient to transport online, of course, In the future may be on the E-commerce platform to add new merchandise for sale. Th
Requirement 1: avoid empty columns in the table. Although empty columns are allowed in the table, empty fields are special data types. Special processing is required during processing. In this case, the complexity of the database processing records will be increased. When there are many blank fields in the table, the database processing performance will be much lower under the same conditions. Therefore, al
, such as the product ID, product name, product category, related information, supplier, number of items included, inventory, purchase price, sales price, and discount price. You will soon design four tables: wares_type, wares_provider, and wares_info) name type constraints description type_id Int No duplicate category ID, primary key type_name Char (50 ) It cannot be a null type name or repeated type_f
Normalization-Database design principles
Summary
Relational database is a kind of database which is widely used at present, the design of relational database is the process of organizing and structuring data, the core problem is t
ID card numbers. However, when an employee reports, his/her ID card may be missing. Therefore, the ID card number field is often not provided in a timely manner. Therefore, the ID card number field can be empty to meet the needs of these special circumstances. However, some processing can be done during database design. If no content is entered, set the default value of this field to 0 or N/. To avoid null
storage space, in addition, the efficiency of table join queries is low, and the indexing efficiency is not high, which is the opposite of that of int type.
In the end, we can see that the database design plays an important role in the entire software development. In particular, the first point of the design principle I mentioned is that databases and requiremen
In general, we mainly judge whether the design of the Oracle database is standardized from two main aspects. The first is to check the number of narrow tables, and the second is to check the number of tables. The actual number of wide tables. If the two conditions are met, the standardization level of the database is still relatively high.
Of course, these are tw
the entire software development. In particular, the first point of the design principle I mentioned is that databases and requirements complement each other, I often compare software development to automobile manufacturing. Automobile Manufacturing will go through the steps of drawing design, model making, sample vehicle manufacturing, small batch production, an
the entire software development. in particular, the first point of the design principle I mentioned is that databases and requirements complement each other, I often compare software development to automobile manufacturing. Automobile manufacturing will go through the steps of drawing design, model making, sample vehicle manufacturing, small batch production, an
The core problem of relational database design is the design of relational model. In this paper, we will introduce the process of database design normalization with specific examples.SummaryRelational database is a widely used
Powerdesign Advanced Applications
1, remove the Oracle generated SQL creation statements in double quotesWhen you export the table SQL for a Orale database with PowerDesigner, the table name and field name are enclosed in double quotes, as shown in the following figure:This is a great inconvenience to the operation of the database, the solution is to set database
cannot completely eliminate SQL statements and replace complex database access logic, however, it is a good embodiment of the "80/20 (or 90/10) Law" (also known as the "Pareto Law"), that is: less flowers (10%-20%) the effort can solve most of the problems (80%-90%), while much effort is needed to solve the remaining few problems. At least, the crud operations that occupy the vast majority in the data access layer, by using the ORM framework, we only
cannot completely eliminate SQL statements and replace complex database access logic, however, it is a good embodiment of the "80/20 (or 90/10) Law" (also known as the "Pareto Law"), that is: less flowers (10%-20%) the effort can solve most of the problems (80%-90%), while much effort is needed to solve the remaining few problems. At least, the crud operations that occupy the vast majority in the data access layer, by using the ORM framework, we only
check list.With this data, is it difficult to write the interface?
Sometimes it is not possible to open a burglary, may be less than the experience of their own summary, really embarrassed.
I'm going to design this:
ID Product name Product ID model color Price inventory quantity
ID pro_name pro_id pro_type pro_color pro_price pro_num
1 Kids Summer 0 kids_001 Red 95 100
2 1 Blue 98 100
3 1 Purple 92
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