Question 1

How to integrate SqlDust with Ecto in an Elixir project?

Accepted Answer

Import the Ecto.SqlDust module and pipe your Ecto models into query functions like select and where; the README shows examples with City and Weather models generating PostgreSQL-compatible SQL.

Question 2

SqlDust or Ecto: which is better for dynamic queries?

Accepted Answer

SqlDust excels with its path-based syntax for quick, ad-hoc join inference, but Ecto offers more robustness with associations and migrations, so choose based on whether simplicity or full ORM features are needed.

Question 3

Does SqlDust work with SQLite or other databases?

Accepted Answer

No, the README only mentions support for MySQL and PostgreSQL adapters; there's no indication of compatibility with other databases like SQLite or MSSQL.

Question 4

How to handle custom join conditions in SqlDust?

Accepted Answer

You can provide a custom schema map to override inferred associations, as shown in the usage example, but this requires manual configuration and understanding of your database structure.

Question 5

Can SqlDust generate INSERT or UPDATE queries?

Accepted Answer

Based on the README, SqlDust focuses on SELECT queries with clauses like where and group_by; it does not mention support for INSERT, UPDATE, or DELETE operations.

Question 6

What are the performance implications of automatic joins?

Accepted Answer

While convenient, automatic joins may not always be optimal; for performance-sensitive applications, you should review and potentially optimize the generated SQL, as inference might not account for indexes or query plans.

Question 7

How to switch between MySQL and PostgreSQL in SqlDust?

Accepted Answer

Use the adapter function in composable queries (e.g., adapter(:mysql)) or rely on automatic detection with Ecto models, as detailed in the MySQL versus Postgres section of the README.

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