Objectives |
---|
Traverse a MongoDB using the command line interface (CLI). |
Connect to MongoDB using Mongoose within your application. |
There are two main categories of databases: relational (SQL) databases, and non-relational (no-SQL) databases. Mongo is a no-SQL database that stores entries in a JSON-like format.
Since Mongo is the first database we've worked with it's hard for us to discuss the tradeoffs between SQL/no-SQL. But here's a great analogy from a fellow on StackOverflow:
"NoSQL databases store information like you would recipes in a book. When you want to know how to make a cake, you go to that recipe, and all of the information about how to make that cake (ingredients, preparation, mixing, baking, finishing, etc.) are all on that one page.
SQL is like shopping for the ingredients for the recipe. In order to get all of your ingredients into your cart, you have to go to many different aisles to get each ingredient. When you are done shopping, your grocery cart will be full of all the ingredients you had to run around and collect.
Wouldn’t it be nicer if there was a store that was organized by recipe, so you could go to one place in the store and grab everything you need from that one spot? Granted you’ll find ingredients like eggs in 50 different places, so there’s a bit of overhead when stocking the shelves, but from a consumer standpoint it would be much easier/faster to find what they're looking for."
MongoDB
is a no-SQL database. Mongoose
is a library or "wrapper" that gives us a bunch of convenience methods for working with MongoDB records (kind of like jQuery's convenience methods for manipulating the DOM). Generally we will not be interacting directly with MongoDB, instead we'll be working with mongoose
.
- Assuming you already have MongoDB installed, to get started using mongoose in a project, we have to install it in our
package.json
:
npm install --save mongoose
- Next we need to
require
Mongoose in our project andconnect
to the MongoDB service (it could be local or hosted). We can do this inserver.js
for now. Later we'll do it inmodels/index.js
.
var mongoose = require('mongoose');
mongoose.connect('mongodb://localhost/todo-app-demo');
What's a connection string?
`mongodb://localhost/todo-app-demo` is a string formatted by specifications provided by the Mongoose package in order to connect to a MongoDB database on your local system named `todo-app-demo`. You can name it whatever you like and it will be created as soon as you save some data to it.- Finally, we need to run the MongodDB service. Generally you will want it open in a separate tab, running in the background.
mongod
Note: If you already have an instance of MongoDB running, you'll get an error at this step. If that's the case, you can move on to the next step, since MongoDB is already running!
Running your MongoDB service is no different from running your Express Server!
Once you've finished the above steps, here's how you would set up an Express application with a "Todo" model (so we can start CRUDing todos!).
- In your Express application, create a folder called
models
with a file for your first model. In the example, we have aTodo
model, so the filename istodo.js
. Your folder structure should look similar to this:
| your-app-name
| models
- todo.js
| public
| scripts
- main.js
| styles
- main.css
| views
- index.html
- .gitignore
- package.json
- readme.md
- server.js
var TodoSchema = new Schema({ task: String, description: String });
var Todo = mongoose.model('Todo', TodoSchema);
module.exports = Todo;
</details>
3. <details>
<summary>In `server.js`, require your model.</summary>
```js
var Todo = require('./models/todo');
We can use .find() to get all documents in the collection.
```js // get all todos app.get('/api/todos', function (req, res) { // find all todos in db Todo.find(function (err, allTodos) { res.json({ todos: allTodos }); }); }); ```Note: We can also use .find()
to get a specific set of documents in the collection (rather than ALL documents) by setting conditions. Read more in the docs.
We've seen the `new` keyword before! It creates new instances of an object. We use it here to create new instances of our `Todo` model. We then call `.save()` to store the new todo in our database.
```js // create new todo app.post('/api/todos', function (req, res) { // create new todo with form data (`req.body`) var newTodo = new Todo(req.body);// save new todo in db
newTodo.save(function (err, savedTodo) {
res.json(savedTodo);
});
});
</details>
#### Get one todo: `.findOne()`
<details>
<summary>We can use <a href="http://mongoosejs.com/docs/api.html#query_Query-findOne">.findOne()</a> to return the first document in the collection that matches certain criteria. In this case, we're looking for a todo that has a certain `_id`.</summary>
```js
// get one todo
app.get('/api/todos/:id', function (req, res) {
// get todo id from url params (`req.params`)
var todoId = req.params.id;
// find todo in db by id
Todo.findOne({ _id: todoId }, function (err, foundTodo) {
res.json(foundTodo);
});
});
Note: The .findById() method will also return a single document matching a specified id field.
Similar to the last example, we can use `.findOne()` to find the document with a certain `_id`. After updating the document, we use `.save()` to persist our changes to the database.
```js // update todo app.put('/api/todos/:id', function (req, res) { // get todo id from url params (`req.params`) var todoId = req.params.id;// find todo in db by id
Todo.findOne({ _id: todoId }, function (err, foundTodo) {
// update the todos's attributes
foundTodo.task = req.body.task;
foundTodo.description = req.body.description;
// save updated todo in db
foundTodo.save(function (err, savedTodo) {
res.json(savedTodo);
});
});
});
</details>
#### Delete todo: `.findOneAndRemove()`
<details>
<summary>The <a href="http://mongoosejs.com/docs/api.html#model_Model.findOneAndRemove" target="_blank">.findOneAndRemove()</a> method takes care of finding the document with a certain `_id` and removing it from the database.</summary>
```js
// delete todo
app.delete('/api/todos/:id', function (req, res) {
// get todo id from url params (`req.params`)
var todoId = req.params.id;
// find todo in db by id and remove
Todo.findOneAndRemove({ _id: todoId }, function (err, deletedTodo) {
res.json(deletedTodo);
});
});
Note: Another way to remove the document is by finding the document first (using .findOne()
or .findById()
) and calling .remove()
.
In addition to the Javascript methods for using MongoDB, MongoDB also comes with a Command Line Interface (CLI), "console", or "shell" that allows us to explore our databases and data. You can launch the shell by typing:
mongo
You can close the shell by typing:
exit
You can learn more about shell commands by typing help
.
Some common commands are:
show dbs # List All Databases
db # Show Current Databse
use db_name # Select a Database
The MongoDB shell also comes with its own set of commands for CRUDing database records.
Assuming that our database has a Users
model or a Users
resource, we can:
// save one user
$ db.users.save({ name: 'Chris' });
// save multiple users
$ db.users.save([{ name: 'Chris'}, { name: 'Holly' }]);
// show all users
$ db.users.find();
// find a specific user
$ db.users.find({ name: 'Holly' });
db.users.update({ name: 'Holly' }, { name: 'Holly Lloyd' });
// remove all
db.users.remove({});
// remove one
db.users.remove({ name: 'Holly' });
More Shell Methods: https://docs.mongodb.org/manual/reference/method/
Exploring your databases with the MongoDB shell can be a chore. Robomongo is a free application that can make it a little easier on you: Setting up Robomongo.
Please head on over to the Mongo TV Drills Lab - [solution] (https://github.com/sf-wdi-25/mongo_tv_drills/tree/solution)