Introduction to PostgreSQL

PostgreSQL is an open source relational Database management system that provides high reliability and Data integrity, and supports complex data models. As a powerful database system, PostgreSQL is widely used in large-scale enterprise applications and Big data projects. -Database introduction: PostgreSQL is a mature open source object relational database system. It supports SQL standards and provides rich features, such as Transaction processing processing, Concurrency control, Data integrity, etc. The database system supports multiple operating systems, such as Linux, Windows, Mac OS, etc. -Founding time and founder or company: The initial version of PostgreSQL was released by Michael Stonebraker et al. in 1986 and later became open source in 1996. Currently, the development and maintenance of PostgreSQL is carried out by a global community, coordinated by the PostgreSQL Global Development Group. -Applicable scenario: PostgreSQL is suitable for various scale applications, from small personal projects to large-scale enterprise level applications. It is particularly suitable for application scenarios that require high concurrency, complex data models, Big data storage and high reliability, such as Web applications, geographic information systems, the Internet of Things, financial systems, etc. -Advantages and disadvantages: -Advantages: -Scalability: PostgreSQL supports horizontal and vertical scaling, and can handle large-scale datasets and workloads. -Reliability: PostgreSQL provides Transaction processing processing and ACID (atomicity, consistency, isolation and persistence) support to ensure data integrity and reliability. -Complex data model support: PostgreSQL supports complex data models, including arrays, JSON, XML, JSONB, geometry, full-text search, etc. -Rich functionality: PostgreSQL provides many advanced features, such as triggers, views, stored procedures, replication, and more. -Full text search: PostgreSQL supports full text search and indexing, which can quickly retrieve and analyze a large amount of text data. -Disadvantages: -The Learning curve is steep: compared with some relatively simple database systems, using and managing PostgreSQL may require some learning costs. -Configuration complexity: Due to the many advanced features and configuration options provided by PostgreSQL, its configuration may become complex. -Technical principle: PostgreSQL uses MVCC (Multiversion concurrency control) technology to achieve concurrency performance. It achieves data consistency and isolation by creating multiple views within each transaction. -Performance analysis: PostgreSQL provides various tools and extensions for performance analysis and optimization. For example, pg can be used_ Stat_ The statements extension identifies the most frequently executed SQL queries using pg_ Stat_ Progress_ Vacuum extension to monitor the performance of VACUUM processes, etc. -Official website: The official website of PostgreSQL is https://www.postgresql.org . -Conclusion: PostgreSQL is a powerful and reliable open source relational Database management system. It is suitable for various scale and type of application scenarios, supporting complex data models and high concurrency performance. By using PostgreSQL, users can build stable, reliable, and high-performance application systems.