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February 4, 2023 작성자: Matthew Rathbone

A “cascade” in the context of a database refers to the behavior of certain operations when they are performed on a parent record. In particular, when a parent record is deleted, any child records associated with it may also be deleted in a cascading manner. This can be useful in maintaining the integrity of the database, as it ensures that orphaned child records are not left behind when their parent is deleted.

Set with ON DELETE

In the case of Postgres, the “delete cascade” behavior is controlled by the “on delete” clause, which can be specified when a foreign key constraint is defined for a table. For example, if table A has a foreign key constraint that references table B, we can specify the “on delete cascade” behavior for that constraint like this:

ALTER TABLE A
ADD FOREIGN KEY (col_a) REFERENCES B (col_b)
ON DELETE CASCADE;

This will ensure that whenever a record in table B is deleted, any corresponding records in table A will also be deleted automatically. Note that this behavior only applies when the parent record is deleted; if a child record is deleted directly, the parent record will not be affected.

Use this power carefully

Cascading deletes make it easy to accidentally delete a whole lot of data by mistake when you only intended to delete a single record.

To avoid this situation, it is a good idea to use the “delete cascade” behavior only when it is strictly necessary. In many cases, it may be better to simply disallow the deletion of parent records if they have any associated child records, using a “restrict” or “no action” clause instead of a “cascade” clause.

DELETE CASCADE Summary

In summary, the “delete cascade” behavior in Postgres allows for the automatic deletion of child records when their parent is deleted. This can be useful for maintaining the integrity of the database, but it should be used carefully to avoid unintended consequences.

Beekeeper Studio는 무료 & 오픈 소스 데이터베이스 GUI입니다

제가 사용해 본 최고의 SQL 쿼리 & 편집기 도구입니다. 데이터베이스 관리에 필요한 모든 것을 제공합니다. - ⭐⭐⭐⭐⭐ Mit

Beekeeper Studio는 빠르고 직관적이며 사용하기 쉽습니다. Beekeeper는 많은 데이터베이스를 지원하며 Windows, Mac, Linux에서 훌륭하게 작동합니다.

Beekeeper의 Linux 버전은 100% 완전한 기능을 갖추고 있으며, 기능 타협이 없습니다.

사용자들이 Beekeeper Studio에 대해 말하는 것

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