Therefore for creating relationships for existing records or updating a parent and maybe a single somehow special assoc it’s usually simpler to opt for other solution like manually updating those separately. The same is true for embeds, but as partial updates are not really a things on embeds at the db level as well it’s usually fine. It’s therefore only really useful if the whole set of assocs is handled (handling just subsets is possible but uncommon). This does not create “just an relationship” to an already existing record in the db. The existing data is then morphed to match the input by creating/updating/deleteing elements. Creating relationships #īoth cast_assoc/3 and put_assoc/4 compare preloaded assocs with the input provided. Schemas are used to map any data source into an Elixir struct. For changing values on an associations cast_assoc/3 or put_assoc/4, while for embeds it’s cast_embed/3 or put_embed/4. If this was all we had, we might have a few headaches come our way. Let’s take a look at a changeset that only casts: def changeset (user, attrs) do user > cast (attrs, :displayname,:email,:password) end. For changing fields on a schema you’d use cast/4, change/2 or put_change/3. Ecto.Changesets allow us to filter, cast, validate, and constrain the structs created by our schema that represents the database records. Therefore which set of function to go for is determined by what data you want to apply as change. ![]() For those functions values for fields are expected to already be “runtime format” values, Those can be applied by another set of functions on Ecto.Changeset: change/2, put_change/3, put_assoc/4 and put_embed/4. in an event sourcing system one might handle events, whose data has been validated before and is no longer expressed by constrainted data types. Ecto.Changeset exposes 3 functions for doing that when applying changes: cast/4, cast_assoc/3 and cast_embed/3.Ĭhanges are not always “user input”, which needs casting. The third type is the data type the runtime data is serialized into for database storage.Ĭonverting user input into the runtime data type is called “casting”. Then there’s the actual values one want’s to have have at runtime in schemas – your field :some_name, :date being a %Date. JSON serialize data might know a few more data types, but is still quite limited. in a web context forms often submit data with text values only. There’s user input, which is often provided in a subset of data types of what a schema is meant to carry. ![]() There are three conceptional types of data ecto deals with. To bring some clarity into the matter one first needs to understand a thing about the architecture ecto and changesets operate under. ![]() Especially the options around assocications are often problematic. People starting out with ecto are often confused by all the methods of getting changes applied to a changeset and therefore the database.
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