How to design a database table with a large amount of data in java-based development? Please look at the stem

The following suggestions can be used to design a database table with a large amount of data in the development of Java: 1. Reasonably divide the table structure: divide the data into multiple tables in a certain way to reduce the data volume of a single table. For example, an order table could be divided into multiple sub-tables to store different attribute information such as order number, customer ID, commodity ID, order status, etc. 2. Use an appropriate index: Indexing can improve query efficiency and reduce data redundanc. For tables with a large amount of data, you can consider using efficient index types such as B-tree index or Hash index. 3, optimized database query: reduce unnecessary queries and repeated calculations to avoid sending too many query requests to the database. You can improve the efficiency of the query by using techniques such as the integration function, grouping, and pagination. 4. Use Caching Technology: For some tables with a small amount of data, you can use Caching Technology to reduce the number of database visits. For example, you can use a buffer mechanism to store commonly used data in memory so that it can be directly used for the next query. 5. Reasonably use the database's partition and compression functions: By distributing data to different partition or compression areas, the usage of a single disk can be reduced and the system performance can be improved. 6. Use database transactions reasonably: When dealing with large data sets, you must ensure the compatibility and integrity of transactions. You can use the transaction management tool to ensure the smooth progress of the transaction.