Difficulty: Medium
Correct Answer: It helps maintain data integrity by automatically updating matching foreign key values when the referenced primary key is updated
Explanation:
Introduction / Context:
Relational databases use foreign key constraints to maintain referential integrity between related tables. When a primary key value in a parent table changes, the database must decide what to do with any matching foreign key values in child tables. The ON UPDATE CASCADE option is one of several referential actions that can be specified. This question asks you to identify what ON UPDATE CASCADE primarily ensures in terms of data behaviour and integrity.
Given Data / Assumptions:
Concept / Approach:
ON UPDATE CASCADE instructs the database that if a referenced primary key value is changed in the parent table, the corresponding foreign key values in all referencing child rows should be updated automatically to match the new key. This cascading update ensures that relationships remain valid and that no child row is left pointing at an outdated key. It is specifically about referential integrity, not about automatic normalization or materialized view management. Normalization is a design-time activity, and refreshing materialized views is typically controlled by separate mechanisms.
Step-by-Step Solution:
Step 1: Imagine a parent table Customer with primary key CustomerID and an Orders table with a foreign key referencing CustomerID.Step 2: Suppose the foreign key in Orders is defined with ON UPDATE CASCADE in its constraint definition.Step 3: If a row in Customer has its CustomerID changed from 10 to 20, the database recognises that Orders rows that reference 10 must be adjusted.Step 4: With ON UPDATE CASCADE in effect, the database automatically updates Orders.CustomerID from 10 to 20 for all matching rows, preserving referential integrity.Step 5: Conclude that option A, describing automatic updates of matching foreign keys to maintain data integrity, is the correct interpretation of ON UPDATE CASCADE.
Verification / Alternative check:
You can verify this behaviour in a relational database such as MySQL, PostgreSQL, or SQL Server by creating related tables with ON UPDATE CASCADE, performing a key update on the parent, and then querying child rows. The foreign key values will reflect the new primary key, demonstrating the cascade. Database documentation for foreign keys explicitly defines ON UPDATE CASCADE as a referential action for automatic propagation of key changes, confirming the explanation.
Why Other Options Are Wrong:
Option B confuses referential actions with normalization, which is a logical design process concerned with table structures, not run-time key updates. Option C suggests that ON UPDATE CASCADE refreshes materialized views, but those are managed through specific refresh policies and are not tied directly to foreign key actions. Option D claims that all of these happen, which is incorrect because ON UPDATE CASCADE is narrowly focused on adjusting related key values. Thus, only option A correctly explains its role.
Common Pitfalls:
A common pitfall is assuming that primary key values will never change and therefore ignoring the need for update rules; in some systems, business keys do change and must be handled carefully. Another mistake is using ON UPDATE CASCADE without fully understanding the impact on performance and on auditing, because large cascades can update many rows unexpectedly. Designers should choose referential actions (such as RESTRICT, SET NULL, or CASCADE) based on real business rules and test the consequences of key changes in realistic scenarios.
Final Answer:
Correct answer: It helps maintain data integrity by automatically updating matching foreign key values when the referenced primary key is updated
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