Question 1

How do I use scany to scan rows into a Go struct?

Accepted Answer

Import the appropriate package (e.g., sqlscan for database/sql), call Select() with your database connection, a pointer to a slice of structs, and your SQL query. For example, `sqlscan.Select(ctx, db, &users, "SELECT * FROM users")` populates the users variable directly.

Question 2

Scany vs sqlx: which is better for database scanning in Go?

Accepted Answer

Scany offers a simpler API and supports more databases natively (like pgx), while sqlx is limited to database/sql but has a larger ecosystem. Choose scany for flexibility with multiple database libraries or a cleaner interface; sqlx if you only use database/sql and need its additional features like named queries.

Question 3

Can scany handle nested or embedded structs?

Accepted Answer

Yes, scany supports reusing structs through nesting or embedding, allowing complex database results to map into hierarchical Go structs without extra code, as mentioned in the struct reuse feature.

Question 4

How to map custom database column names in scany?

Accepted Answer

Use struct tags with the `db` key, e.g., `Field string `db:"column_name"``. This overrides default naming, enabling flexible mapping without changing SQL queries, as detailed in the custom column mapping section.

Question 5

Is scany compatible with MySQL or other databases?

Accepted Answer

Yes, scany works with any database that has a database/sql driver, including MySQL, PostgreSQL via pgx, and others. Use the sqlscan package for database/sql-compatible drivers.

Question 6

How to extend scany for a custom database library?

Accepted Answer

Implement the rows interface required by the dbscan package, scany's core module. The README notes that dbscan can be integrated with any library that produces rows, though this requires understanding its abstraction layer.

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