Ecto 3 0 2 – Post Entries To Weblog Systems
Edgar Pino
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October 12, 2018
Las vegas sayings. Note: This post was updated to work with Ecto 3.0
Welcome to part two of Getting Started with Ecto. On the last post, we covered how to install and configure Ecto in our application. In this post we will cover migrations, schemas, and changesets in Ecto.
With ecto you can write and manage entries for your weblog(s). You can compose entries offline and use the extra features ecto offers, such as spellcheck, creating links, attachments, and much more. Ecto is a native Mac OS X application, and offers you a more powerful and easier to use editing interface than your blog's built in control panel. Samples were homogenized in isolation buffer (pH 7.2; 215 mM mannitol, 75 mM sucrose, 0.1% bovine serum albumin, 1 mM EGTA, 20 mM HEPES). The homogenate was spun at 1300 × g for 3 min, the supernatant was removed, and the pellet was resuspended with isolation buffer and spun again at 1300 × g for 3 min.
- Migrations, Schemas, and Changesets (This Post)
Migrations
An example of ecto 2.0. Contribute to developerworks/ectotest development by creating an account on GitHub. Ecto.Changeset (Ecto v3.5.2) View Source. Changesets allow filtering, casting, validation and definition of constraints when manipulating structs. There is an example of working with changesets in the introductory documentation in the Ecto module.
Now that we have a database and Repo, we are going to create tables and columns. To do that, we will create migrations that define the structure of our tables and define any relationships. Before we create our first migration, let’s look at the database design of our demo application.
- Users have credentials with a unique email
- Challenges have many solutions
- Users can have one solution per challenge
Generating Migrations
Let’s go ahead and create our first migration by running the following generator command:
That will create a file inside of priv/repo/migrations/
that looks something like this:
Lets define our table inside the change
function; this allows us to create reversible migrations.
The column name and type are defined as atoms. We defined the name as a string with a character limit of 100 and age is an integer. We also use the timestamps
function that adds :inserted_at
and :updated_at
timestamps columns. See the docs for other primitive types.
Running Migrations
Now that we have our migrations, let’s run them with the following command:
You should see the following output if it succeded:
Ecto 3 0 2 – Post Entries To Weblog Systems Using
If we look at our database, we see two tables: schema_migrations
and users
. The schema_migrations
keeps track of our migrations and the order they were executed. This allows Ecto to rollback migrations by using the mix ecto.rollback
command.
Let’s move on to the credentials
migration. I won’t go over how to generate and run migrations since that’s been covered. This is how our credentials migration should look like:
Notice that our user_id
references the users
table. We set the :on_delete
to :delete_all
which deletes the credentials
record when the user record is deleted. Check out the Ecto docs for other supported options. Lastly, we set null
to false
which prevents the user_id
from being null
.
We also created an index on the email
and a unique index on the user_id
columns.See the unique_index
and index
functions for more info.
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Our solutions
and challenges
migrations don’t cover anything new so I will skip them but check out the source code reference.
Let’s move on to schemas.
Schemas
Schemas are modules that represent data from our database. They define the table and column mapping, help functions, and changesets.It’s our database, but in code.
Creating Schemas
Let’s create our first schema by creating a directory inside the lib
directory. We currently don’t have a generator command so we have to create the directories and files manually 😥. In our demo app, it will be in lib/getting_started_with_ecto/accounts/user.ex
and it looks like this:
We use the schema
macro to map the user’s table and columns to a struct.We define the name column to a string and the age as an integer. Lastly, we call the timestamps
function to generate the :inserted_at
and :updated_at
timestamp fields.
Schema Relationships
Let’s create the credentials
schema. In our demo app, it will be in lib/getting_started_with_ecto/accounts/user.ex
:
The new thing here is how we define our one-to-one relationship with the user
schema. We use the belongs_to
which does most of the work for us. Notice the first parameter is the name of the relationship and the second parameter is the User
schema.
We also want to get the credentials when querying the user, let’s add that to our User
schema. We will do that by adding has_one(:credential, Credential)
to the User
schema file.
NOTE: Don’t forget to add the GettingStartedWithEcto.Accounts.Credential
alias at the top of the file.
If your schema has one-to-many association you can use the has_many
.
Our solution
and challenge
schemas don’t cover anything new so I will skip them but check out the source code reference.
Let’s move on to changesets.
Schema Changesets
The changeset is a function in the schema that allows us to filter and cast our schema fields, as well as track and validate data before it gets to the database.
Defining Changesets
Let’s define the changeset
function for our user
schema file:
We first imported the Ecto.Changeset
and then we defined our changeset
function with two arguments. The user
argument can bea changeset, schema struc, or a tuple with {data, types}
. The attrs
argument is a map like %{'name' => 'Alan'}
or %{name: 'Alan'}
.
Let’s look at the internals of this function.
In line 17, we piped the user
to the cast
function which applies the attrs
changes to the user
given a set of allowed keys. In this example, the keys are [:name, :age]
since those are our schema fields. This means that any other values in the attrs
map will be ignored and filtered out. Lastly, the cast
function returns a changeset if everything was successful.
Line 18 is straightforward. We make the name
field required. validate_required
has an optional third argumentto add a custom message or trim whitespaces.
Finally, we use the validate_inclusion
to validate that our age is between 0 and 120. An optional third argument can be provided for a custom message.
Ecto provides other validation function out of the box, check out the Ecto docs for more.
Let’s move on to creating custom validation functions.
Custom Validation Function
We can also define custom functions to validate or change any of the fields in the changeset. Let’s create afunction that checks if the word ‘Elixir’ is part of the password_hash
field.
Define our credentials
changeset inside it’s appropiate schema file.
This changeset is a little more complex since we have more validation.
In line 4, the :user
association gets casts with its own changeset. This allows us to create or update the user associated with the credentials.
In line 6, we call our custom validate_password
validator function. This function does a simple check on the stringto determine if the word “Elixir” appears within the validate_password
. It returns the changeset for a valid password, or calls the password_invalid
function which returns the changeset with an error.
Custom validator functions are flexible and allow you to validate changesets with more granularity.
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Our solution
and challenge
changeset don’t cover anything new so I will skip them, but check out the source code reference.
Congratulations 🎉 🎉 🎉
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We covered a lot of Ecto concepts in this post. We learned how to create migrations, schemas, and changesets.If you need more information or have a question, feel free to leave a comment or check out the Ecto documentation. On the next post, we will start using our Repo to make database queries.
Software Engineer @Pluralsight. Interested in distributed systems, machine learning, and the web. https://trueefile366.weebly.com/epic-win-2016.html. Follow me on Twitter.