Use Navicat to compare and synchronize structure
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 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: In this article, you will learn how to manage objects with view dependencies in PostgreSQL.
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: In this article, you will learn how to manage complex data with JSON in PostgreSQL.
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.
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