Question 1

How do I format Ecto timestamps with Calecto?

Accepted Answer

After adding `use Calecto.Schema` to your model, timestamps are loaded as DateTime structs. Use Calendar.Strftime.strftime! or other Calendar functions, e.g., `@post.inserted_at |> Calendar.Strftime.strftime!("%A, %e %B %Y")` to output like 'Monday, 9 March 2015', as shown in the README examples.

Question 2

Calecto vs Ecto native datetime types: which should I use?

Accepted Answer

For Ecto 2.1+, stick with native types unless you need Postgres-specific timezone storage with Calecto.DateTime. Calecto is best for legacy Ecto support or advanced timezone handling in Postgres, but adds unnecessary complexity for modern UTC-only projects.

Question 3

How to store timezone-aware datetimes in Elixir with Ecto?

Accepted Answer

Use Calecto's Calecto.DateTime type in your schema and run the provided migration (`mix calecto.add_type_migration`) for Postgres. This allows saving any DateTime struct with timezone data, ensuring accurate representation even if timezone rules change.

Question 4

Does Calecto work with MySQL or other databases?

Accepted Answer

Calecto works with MySQL for basic types like Date, Time, and NaiveDateTime, but the timezone-aware Calecto.DateTime type is only supported in Postgres. For other databases, you'll need alternative solutions for timezone data.

Question 5

How to migrate from legacy Ecto to Calecto?

Accepted Answer

Add Calecto to your dependencies, specify the correct version for your Ecto (e.g., ~> 0.16.0 for pre-2.1), and add `use Calecto.Schema` in your models. For Postgres timezone support, generate and run the migration as described in the README.

Question 6

What are the performance implications of using Calecto?

Accepted Answer

Calecto adds a thin layer over Ecto and Calendar, so performance impact is minimal for most use cases. However, additional type conversions and Calendar function calls might introduce slight overhead compared to native Ecto types, but it's negligible unless handling extremely high-volume datetime operations.

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