inventory database design

, the ORM framework is not omnipotent. In the face of complicated business logic, it 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 oc

Invoicing System Database Design Report Product management functions 1. Basic information table of product types: (add, delete, modify, and so on)Field name type width primary key no foreign key noType ID integer Yes NoType name string 20 noUpper-level ID integer No YesUpper-level ID integer No YesNote No 2 Basic information table of warehouse receiving type: (preset)Field name type width primary key no for

8.5 use ViewContrary to the popular concept, a view is actually detrimental to performance-not necessarily because of the use of a view, but because of its common usage in a business environment. In the database model design stage, why not use the view as a performance adjustment tool? This book will explain from the perspective of database modeling.Tip:A view is

database table Design optimization :Sometimes in order to improve the efficiency of the database, we can properly consider the inverse three paradigms, add redundant fields appropriately, and reduce multi-table to correlate queries . Use index :2.1 database table design sh

Tags: conceptual model database design structure informationConceptual structure DesignWhat is conceptual structure designThe process of abstracting the user requirement analysis into the information structure i.e. the conceptual model is the conceptual structure designThe conceptual structure is the common foundation of various data models, which is more independent of the machine, more abstract, and more

You do two things before you go to bed every day. the design of database tableA pair of many pairs of more than one one-on-one One-to-many or Many-to-many one: multiple parties plus foreign keys, describing the relationship of the data Many-to-many: Add an intermediate table to describe the relationship table Design (departments and employees) when a one-to-ma

The following content is excerpted from database solutions. Second Edition Key success factors in Database Design: The following guidelines are important for successful Database Design: · Communicate with users as much as possible · Use a structured methodology throughout th

of items included, inventory, purchase price, sales price, and discount price. You will soon design four tables: wares_type, wares_provider, and wares_info: item type table (wares_type) description of name type constraints type_id int has no duplicate category ID, primary key type_name char (50) null type names are not allowed. Repeated type_father int is not allowed to be null, if it is a top node,

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 ): Item type table (wares_type)Description of name type constraintsType_id int no duplicate category ID, primary keyType_name char (50) cannot be empty or repeatedType_father int cannot be n

Label:"Example Demo-the relationship between entities" "The work of logical design" ① the logical model of transforming demand into a database ② the logical model in the form of ER diagrams ③ is independent of the specific DBMS system chosen "Noun explanation" The candidate code can be simply understood as the primary key or unique index of the database Main c

warehouses. Therefore, in a data warehouse, as few tables as possible for large and complex queries, so as to reduce the number of tables in the join query. For OLTP databases and data warehouse databases, too many tables are connected simultaneously during queries, which has the greatest impact on query performance. The data warehouse is also deteriorating due to the huge amount of data. Some common experience in adjusting SQL code performance: ● Database