A sails hook that enables the use of wetland ORM. It might be useful to take a look at the quick start of wetland.
More documentation and examples will follow.
sails new myapplication
cd $_
npm i sails-hook-wetland --save
npm i --save sqlite3
mkdir api/entity
Out of the box, wetland works with sqlite3, so there's no need to configure anything.
You do however need to install sqlite3 if that's what you want to use, and create the config/wetland.js
and wetland.js
files.
Here are two code snippets that will do everything for you, assuming the sqlite3
default as an adapter.
You can read how to configure other adapters further down the readme.
npm i sqlite3
mkdir api/entity
echo "module.exports.wetland = {};" > config/wetland.js
echo "module.exports = require('./config/wetland').wetland;" > wetland.js
An extensive list with config options and explanation can be found in the wetland documentation.
The simplest configuration (which will be what's used 9/10 times) is as follows:
config/wetland.js
const path = require('path');
module.exports.wetland = {
entityPath: path.resolve(process.cwd(), 'api', 'entity'),
stores : {
defaultStore: {
client : 'mysql',
connection: {
host : '127.0.0.1',
user : 'your_database_user',
password: 'your_database_password',
database: 'myapp_test'
}
}
}
};
Wetland supports master/slave setups and pooling. Documentation for these features will be added in the nearby future.
This hook comes with all the default blueprints, and a count blueprint. It also adds some features for the current blueprints.
Sails-hook-wetland offers additional options for blueprints.
module.exports.blueprints = {
// Enabling this options will include the total count for the current query in the results using the value as header key.
// For instance, using 'X-Total-Count' as a value, will return the total count in the headers with every find request.
countInResponse: false,
// This option allows you to nest the response deeper.
// So, you could use 'data' as a value here, and all responses will be wrapped.
dataProperty: false
};
Code speaks. Take a look at this:
const createAction = require('sails-hook-wetland/blueprints/create');
const updateAction = require('sails-hook-wetland/blueprints/update');
const My = require('../Entity/My');
const MyController = {
update (req, res) {
return updateAction(req, res, MyController.getDetailed(req, actionUtil.requirePk(req), true), true);
},
create (req, res) {
return createAction(req, res, true);
},
getDetailed(req, pk, update) {
let options = {
populate: [{'something': 's'}, 's.somethingElse', 's.anotherThing', 'whatever']
};
return req.getRepository(My).findOne((pk || actionUtil.requirePk(req)), options);
},
};
This example shows how you can support nested creates, as well as nested updates based on your own provided base data.
The latter is useful when you want to apply nested updates. Wetland diffs and only pushes what is needed. This gives you a chance to supply the base to use for the diff.
On top of the default blueprint, this hook also adds a count
blueprint which, you guessed it, allows you to fetch a count.
All you need to do to add this is add a route:
module.exports.routes = {
'GET /my/count': {blueprint: 'count'}
};
And it's ready to be used:
$ curl http://127.0.0.1:1337/my/count
{
"count": 8
}
To be able to use the wetland CLI, a wetland.js
or wetland.json
file must be present in the root directory of your project.
The wetland cli allows you to run & create migrations, manage your schema and work with snapshots.
It also helps you generate entities.
The easiest way to do this is by creating a file called wetland.js in the root of your directory with the following contents:
module.exports = require('./config/wetland').wetland;
In order to use the CLI, you'll have to install it first. You can do this by running npm i -g wetland
.
You can verify installation worked by running wetland --version
.
Adapter | Command |
---|---|
mysql | npm i mysql --save |
mysql2 | npm i mysql2 --save |
pg | npm i pg --save |
sqlite3 | npm i sqlite3 --save |
mariasql | npm i mariasql --save |
strong-oracle | npm i strong-oracle --save |
oracle | npm i oracle --save |
mssql | npm i mssql --save |
The differences are minimal out of the box when working with blueprints. Once you start writing custom code, the differences become more clear.
Validation is a precious feature, that does not belong in an ORM. Because wetland entities are simple classes, you can apply your own validation easily.
A good library for this is joi, which is a joy to work with.
In the future there will be an opinionated validation plugin for wetland. If there's enough demand, this will be bumped up on the priority list.
To be able to guarantee data safety, wetland uses transactions for all queries. These queries are calculated once you flush the changes.
Flushing will trigger the unit of work to calculate changes you made (new, changed, removed and linked entities).
Wetland doesn't have model methods. It separates logic and state using Entities and Repositories.
Instead, you'll be using repositories to fetch data from the database. Each entity can have its own repository, so it's possible to create your own repository and have it contain custom queries (using the query builder, or native).
Wetland supports migrations, including creating, running and auto-running (dev migrations) them.
Out of the box, entities are exactly as you define them. No magical PK, no autoUpdatedAt or autoCreatedAt. All of these are up to you to implement. Because entities are just classes, you can create a base class and extend it.
The way you specify the mappings for your entities is different.
In api, create a directory called entity
. This is where wetland will look for your entities (comparable to models for waterline).
Get the repository for provided Entity. If none was supplied, the Entity for the current blueprint will be used instead.
See also: EntityRepository.
Use this method to get a new EntityManager scope. This is used to call persist on, for instance. Check the wetland docs for more info.
A convenience property pointing to the wetland instance.