What is Oracle GoldenGate for PostgreSQL supported?
Summary: This article introduces you what data types, objects, and operations supported in Oracle GoldenGate for PostgreSQL.
Summary: This article introduces you what data types, objects, and operations supported in Oracle GoldenGate for PostgreSQL.
Summary: This article lists details about configuring Oracle GoldenGate for PostgreSQL.
PostgreSQL is gathering statistics for indexed expressions, in order to make good choices of query plans.
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.
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.
The PostgreSQL community is characterized by a unique development culture that emphasizes collaboration, transparency, and community-driven contributions. Here are some key aspects of the development culture in the PostgreSQL community:
We all know that in PostgreSQL we cannot drop an object if there are view dependencies on it:
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. The following example shows how you can end up with a dangling function:
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