Summary: Planner statistics play a key role in improving the performance of the database. The query planner uses the statistical data to generate efficient run plans for queries. The purpose of this post is to explain the types of statistics in PostgreSQL and how to read and understand them.
Summary: Navicat compares objects between two databases and/or schemas and states the differences in structure, and synchronize the table structures and other objects.
Summary: Navicat provides the ability for data in different databases and/or schemas to be kept consistent so that each repository contains the same information.
Summary: Backward compatibility of database versions is critical, as it directly impacts the availability, continuity, and overall efficiency of business systems, and is necessary for the success of a database product. When you get used to using some successful database products, you may not feel that they exist, because it has become like air and water, making you feel that database products are supposed to be the way they are. However, if you choose to use a bad database product, you will feel like you’re always running into problems because of the lack of backward compatibility of the versions.
Summary: The PostgreSQL community is characterized by a unique development culture that emphasizes collaboration, transparency, and community-driven contributions.
Summary: When using PostgreSQL functions, you need to be careful not to end up with dangling functions, since the dependency between functions is not well maintained in the PostgreSQL system catalog.
Summary: The GROUP BY and PARTITION BY clauses are both used in SQL to group data and calculate aggregate values, then what’s the difference between them?
Summary: GPT can write SQL. If we write our question in plain English, and have GPT write the SQL to get the answer, well then we can save a lot of time spent on enterprise process management and data analysis software.
Database compatibility is critical to the success of a database product, and it can even make the difference between life and death for a database product. The problem of database compatibility is essentially a problem that software products will have.
The optimizer is the heart and soul of a relational DBMS. It analyzes SQL statements and determines the most efficient access plan for satisfying each statement. For database optimizers, there have always been many voices among database-related practitioners.
Copyright (c) 2017 - 2025, Redrock Data Services, Inc. All rights reserved.
