Avoiding Data Redundancy: Improving Performance and Reliability of Data Scalability Systems

Author: Zen and the Art of Computer Programming

Data scalability (Scalability) is a very important system engineering feature, which can effectively support large-scale data processing, storage and calculation, and has important indicator significance. How to design an efficient and scalable database system has become an important topic for system engineers and developers. Data scalability reflects the ability of the system to effectively utilize computer resources, mainly relying on three aspects:

  • Data magnitude growth
  • Growth in user visits
  • Changes in query mode In order to reduce the impact of data scalability and improve system performance and stability, the following aspects need to be considered:
  1. Data model design: improve the query speed, write performance and read performance of the database by optimizing the data model;
  2. Index design: reduce disk I/O and improve query speed through reasonable index design;
  3. Partition design: Through reasonable partition design, the problem of excessive data volume in a single table can be effectively solved;
  4. SQL statement tuning: maximize the performance potential of the database through appropriate SQL statement tuning;
  5. Application optimization: Through system configuration and optimization parameter adjustment, the execution efficiency of the application program is improved, and the response time of the system is improved.

Through the understanding of data scalability design, combined with actual cases, this paper expounds some methodologies and techniques of data scalability system design. It is hoped that through the understanding of the data, readers can correctly understand its characteristics and limitations, and better focus on how to improve the performance, reliability and availability of the database.

2. Explanation of basic concepts and terms

data model design

In traditional relational databases, tables are stored as files, and generally only raw data is stored without any processing. Therefore, each record takes up a certain amount of storage space

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Origin blog.csdn.net/universsky2015/article/details/131746335