Based On The Flow Replication Of B4c E-commerce System Design

With the development of e-commerce, the B2C e-commerce model has gradually evolved into the B4C e-commerce model. This new model focuses more on the user experience, multi-channel, and brand marketing, servicing customers through ground stores, call centers, the Internet, and other channels. Lefeng.net is a cosmetics industry B4C business that uses a single Oracle RAC cluster in the first stage, with all applications accessing this cluster. With increases in business volume, the system response gradually slows down, lock conflicts increase dramatically, and the transaction commits and rollbacks slow down. Large transactions are likely to cause the cluster to shut down completely, thus influencing the entire B4C business performance. The company urgently needs to split the single database into multiple databases by decoupling the business operations. Since the B4C system contains a large amount of business data and since the business is scattered throughout the country, one must be careful when determining the best method to split the business data into separate databases to make the model faster and more reliable.The current status of the Lefeng.net system and the problems it faces with large amounts of data and concurrency are analyzed in this paper, and the feature of Oracle replication technology is compared and the necessity of streams-replication-based B4C e-commerce system design is illustrated. The main functions of the system and core processes such as user registration and product updates are then discussed. The J2EE architecture of the entire system is analyzed. Some subsystems including the user management subsystem and merchandizing subsystem are designed in detail. In addition, the configuration of streams replication and core implementations of application data synchronization through streams replication are discussed in detail, and the features of this system with other systems in the industry are compared. Finally, system stability, scalability and investment profits are analyzed.