report GaussDB database Posted on 2025/01/22 10:05:19 28 0 0
【Abstract】 With the rapid development of enterprise business, the amount of data in the database system has expanded dramatically. Especially in large-scale business architectures that use distributed databases or multi-copy technology, the growth of business data is particularly significant. Faced with this challenge, data compression has become the preferred strategy to consider. However, the impact of data compression is far more than the compression rate, which can be summarized by a single indicator. It has many impacts on the stability and comprehensive performance of the business system, and will also be a key factor in our evaluation of compression strategies. When dealing with complex business architectures left over from history, whether it is expansion or distributed transformation, it is often a complex...
With the rapid development of enterprise business, the amount of data in the database system has expanded dramatically. Especially in large-scale business architectures that use distributed databases or multi-copy jordan mobile phone number list technology, the growth of business data volume is particularly significant. Faced with this challenge, data compression has become the preferred strategy to consider. However, the impact of data compression is far more than the single indicator of compression rate. It has a multi-faceted impact on the stability and comprehensive performance of the business system, and will also be a key factor in our evaluation of compression strategies.
When dealing with complex legacy business architectures, whether it is capacity expansion or distributed transformation, it is often a complex and time-consuming task. In order to reduce the frequency of these operations and improve the utilization of storage resources, we need to explore effective solutions to ensure minimal impact on the business and stable operation of the system.
1. Database compression should not only be about compression ratio
In the use scenario of database systems that support the core business of enterprises, developers must monitor the operation status of the database in all aspects. For the challenge of storage resource utilization, an intuitive solution is to improve the compression rate of the storage system to save storage space or store more business data under limited resources. However, the compression and decompression may cause access delays, memory expansion or drastic fluctuations in disk usage, thereby increasing the risk of system operation.