Question 1

How does dbq compare to GORM for Go database operations?

Accepted Answer

dbq is a lightweight library focused on reducing boilerplate with raw SQL and automatic unmarshaling, while GORM is a full ORM with features like migrations and relationships. Choose dbq for SQL control without ORM bloat, or GORM for more out-of-the-box functionality.

Question 2

Can dbq handle nested structs when unmarshaling results?

Accepted Answer

Yes, dbq uses the mapstructure package, which supports nested structs via proper decoder configuration in dbq.Options. You'll need to set up tags and potentially use custom decoders for complex mappings.

Question 3

Does dbq support SQLite or other databases besides MySQL and PostgreSQL?

Accepted Answer

No, dbq explicitly supports only MySQL and PostgreSQL, as stated in the README. For other databases, you'd need to use different libraries or drivers, limiting dbq's flexibility in polyglot environments.

Question 4

How to perform bulk updates with dbq efficiently?

Accepted Answer

Use the BulkUpdate function from the v2/x subpackage, which allows updating thousands of rows in a single query without transactions, as mentioned in the README. This is optimized for performance with large datasets.

Question 5

What's the performance impact of dbq's default unmarshaling with reflection?

Accepted Answer

Reflection can slow down data binding, but dbq provides the ScanFaster interface to bypass reflection for better performance. However, you must implement ScanFaster manually for each struct, which adds development overhead.

Question 6

How to handle errors and rollbacks in dbq transactions?

Accepted Answer

In the Tx function, if an error occurs during operations, simply return without calling txCommit to trigger automatic rollback. This ensures data consistency without manual rollback code, as described in the transaction management section.

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