Data Partition O&M Management

Data lifecycle management (DLM) is a set of management processes and policies that run through the entire data lifecycle. One of its core tasks is to match the most suitable and cost-effective storage media for data at different stages. New data that is frequently accessed is stored in the storage layer with fast read/write speed and high availability, while old data that is infrequently accessed is migrated to the storage layer with lower cost and slightly weaker performance. Given that old data is updated infrequently, it is more reasonable to compress it and convert it to read-only.

Partitioned tables create ideal conditions for the implementation of the DLM solution. By using different tablespaces for different partitions, the DLM solution ensures usability and optimizes cost throughout the data lifecycle. The underlying configuration is completed by database O&M personnel on the server side. End users are unaware of the configuration and can still perform query operations on tables based on common logic. In addition, each partition supports independent O&M operations such as backup, restoration, and index rebuild. Different subsets of data sets can be managed separately to meet differentiated requirements of users' service scenarios.