This guide walks you through the process of creating an application that accesses document-based data through a hypermedia-based RESTful front end.
You will build a Spring application that lets you create and retrieve Person
objects
stored in a MongoDB NoSQL database by using Spring Data REST.
Spring Data REST takes the features of
Spring HATEOAS and
Spring Data MongoDB and automatically
combines them together.
Note
|
Spring Data REST also supports Spring Data JPA, Spring Data Gemfire, and Spring Data Neo4j as backend data stores, but those are not part of this guide. |
You can use this pre-initialized project and click Generate to download a ZIP file. This project is configured to fit the examples in this tutorial.
To manually initialize the project:
-
Navigate to https://start.spring.io. This service pulls in all the dependencies you need for an application and does most of the setup for you.
-
Choose either Gradle or Maven and the language you want to use. This guide assumes that you chose Java.
-
Click Dependencies and select Rest Repositories and Spring Data MongoDB.
-
Click Generate.
-
Download the resulting ZIP file, which is an archive of a web application that is configured with your choices.
Note
|
If your IDE has the Spring Initializr integration, you can complete this process from your IDE. |
Note
|
You can also fork the project from Github and open it in your IDE or other editor. |
For this guide to work, you must stand up a local MongoDB server.
On a Mac OS X machine with Homebrew installed, run the following command:
brew install mongodb
You can find more installation options at https://docs.mongodb.org/manual/installation/.
After installing MongoDB, you need to launch the mongo
daemon. On a Mac, you can use
the following command:
$ mongod all output going to: /usr/local/var/log/mongodb/mongo.log
You can start the MongoDB client from another terminal window by running the mongo
command.
Create a new domain object to present a person, as the following example (in
src/main/java/com/example/accessingmongodbdatarest/Person.java
) shows:
link:complete/src/main/java/com/example/accessingmongodbdatarest/Person.java[role=include]
The Person
object has a first name and a last name. (There is also an ID object, which
is configured to be automatically generated, so need not deal with it.)
Next, you need to create a simple repository, as the following listing (in
src/main/java/com/example/accessingmongodbdatarest/PersonRepository.java
) shows:
link:complete/src/main/java/com/example/accessingmongodbdatarest/PersonRepository.java[role=include]
This repository is an interface and lets you perform various operations that involve
Person
objects. It gets these operations by extending MongoRepository
, which in turn
extends the
PagingAndSortingRepository
interface defined in Spring Data Commons.
At runtime, Spring Data REST automatically creates an implementation of this interface.
Then it uses the
@RepositoryRestResource
annotation to direct Spring MVC to create RESTful endpoints at /people
.
Note
|
@RepositoryRestResource is not required for a repository to be exported. It is
used only to change the export details, such as using /people instead of the default
value of /persons .
|
Here you have also defined a custom query to retrieve a list of Person
objects based on
the lastName
value. You can see how to invoke it further down in this guide.
Note
|
By default, Spring Boot tries to connect to a locally hosted instance of MongoDB. Read the reference docs for how to point your application to an instance of MongoDB that is hosted elsewhere. |
Logging output is displayed. The service should be up and running within a few seconds.
Now that the application is running, you can test it. You can use any REST client you wish. The following examples use the *nix tool curl
.
First you want to see the top level service, as the following example shows:
$ curl http://localhost:8080
{
"_links" : {
"people" : {
"href" : "http://localhost:8080/people{?page,size,sort}",
"templated" : true
}
}
}
The preceding example provides a first glimpse of what this server has to offer. There is
a people
link located at http://localhost:8080/people. It has some options, such as
?page
, ?size
, and ?sort
.
Note
|
Spring Data REST uses the HAL format for JSON output. It is flexible and offers a convenient way to supply links adjacent to the data that is served. |
When you use the people link, you see the Person
records in the database (none at
present):
$ curl http://localhost:8080/people
{
"_links" : {
"self" : {
"href" : "http://localhost:8080/people{?page,size,sort}",
"templated" : true
},
"search" : {
"href" : "http://localhost:8080/people/search"
}
},
"page" : {
"size" : 20,
"totalElements" : 0,
"totalPages" : 0,
"number" : 0
}
}
There are currently no elements and, hence, no pages. It is time to create a new Person
!
Note
|
If you run this guide multiple times, there may be leftover data. Refer to the MongoDB shell quick reference for commands to find and drop your database if you need a fresh start. |
The following command creates a person named “Frodo Baggins”:
$ curl -i -X POST -H "Content-Type:application/json" -d "{ \"firstName\" : \"Frodo\", \"lastName\" : \"Baggins\" }" http://localhost:8080/people
HTTP/1.1 201 Created
Server: Apache-Coyote/1.1
Location: http://localhost:8080/people/53149b8e3004990b1af9f229
Content-Length: 0
Date: Mon, 03 Mar 2014 15:08:46 GMT
-
-i
: Ensures you can see the response message including the headers. The URI of the newly createdPerson
is shown. -
-X POST
: Signals this aPOST
used to create a new entry. -
-H "Content-Type:application/json"
: Sets the content type so the application knows the payload contains a JSON object. -
-d '{ "firstName" : "Frodo", "lastName" : "Baggins" }'
: Is the data being sent.
Note
|
Notice how the previous POST operation includes a Location header. This contains
the URI of the newly created resource. Spring Data REST also has two methods
(RepositoryRestConfiguration.setReturnBodyOnCreate(…) and setReturnBodyOnUpdate(…) )
that you can use to configure the framework to immediately return the representation of
the resource just created/updated.
|
From this you can query for all people, as the following example shows:
$ curl http://localhost:8080/people
{
"_links" : {
"self" : {
"href" : "http://localhost:8080/people{?page,size,sort}",
"templated" : true
},
"search" : {
"href" : "http://localhost:8080/people/search"
}
},
"_embedded" : {
"persons" : [ {
"firstName" : "Frodo",
"lastName" : "Baggins",
"_links" : {
"self" : {
"href" : "http://localhost:8080/people/53149b8e3004990b1af9f229"
}
}
} ]
},
"page" : {
"size" : 20,
"totalElements" : 1,
"totalPages" : 1,
"number" : 0
}
}
The persons
object contains a list with Frodo. Notice how it includes a self
link.
Spring Data REST also uses the
Evo Inflector to pluralize the names
of entities for groupings.
You can directly query for the individual record, as the following example shows:
$ curl http://localhost:8080/people/53149b8e3004990b1af9f229
{
"firstName" : "Frodo",
"lastName" : "Baggins",
"_links" : {
"self" : {
"href" : "http://localhost:8080/people/53149b8e3004990b1af9f229"
}
}
}
Note
|
This might appear to be purely web-based, but, behind the scenes, it is talking to the MongoDB database you started. |
In this guide, there is only one domain object. With a more complex system, where domain objects are related to each other, Spring Data REST renders additional links to help navigate to connected records.
Find all the custom queries, as the following example shows:
$ curl http://localhost:8080/people/search
{
"_links" : {
"findByLastName" : {
"href" : "http://localhost:8080/people/search/findByLastName{?name}",
"templated" : true
}
}
}
You can see the URL for the query, including the HTTP query parameter, name
. This
matches the @Param("name")
annotation embedded in the interface.
To use the findByLastName
query, run the following command:
$ curl http://localhost:8080/people/search/findByLastName?name=Baggins
{
"_embedded" : {
"persons" : [ {
"firstName" : "Frodo",
"lastName" : "Baggins",
"_links" : {
"self" : {
"href" : "http://localhost:8080/people/53149b8e3004990b1af9f229"
}
}
} ]
}
}
Because you defined it to return List<Person>
in the code, it returns all of the
results. If you had defined it to return only Person
, it picks one of the Person
objects to return. Since this can be unpredictable, you probably do not want to do that
for queries that can return multiple entries.
You can also issue PUT
, PATCH
, and DELETE
REST calls to replace, update, or delete
existing records, respectively. The following example uses a PUT
call:
$ curl -X PUT -H "Content-Type:application/json" -d "{ \"firstName\": \"Bilbo\", \"lastName\": \"Baggins\" }" http://localhost:8080/people/53149b8e3004990b1af9f229
$ curl http://localhost:8080/people/53149b8e3004990b1af9f229
{
"firstName" : "Bilbo",
"lastName" : "Baggins",
"_links" : {
"self" : {
"href" : "http://localhost:8080/people/53149b8e3004990b1af9f229"
}
}
}
The following example uses a PATCH
call:
$ curl -X PATCH -H "Content-Type:application/json" -d "{ \"firstName\": \"Bilbo Jr.\" }" http://localhost:8080/people/53149b8e3004990b1af9f229
$ curl http://localhost:8080/people/53149b8e3004990b1af9f229
{
"firstName" : "Bilbo Jr.",
"lastName" : "Baggins",
"_links" : {
"self" : {
"href" : "http://localhost:8080/people/53149b8e3004990b1af9f229"
}
}
}
Note
|
PUT replaces an entire record. Fields not supplied will be replaced with null .
You can use PATCH to update a subset of items.
|
You can also delete records, as the following example shows:
$ curl -X DELETE http://localhost:8080/people/53149b8e3004990b1af9f229
$ curl http://localhost:8080/people
{
"_links" : {
"self" : {
"href" : "http://localhost:8080/people{?page,size,sort}",
"templated" : true
},
"search" : {
"href" : "http://localhost:8080/people/search"
}
},
"page" : {
"size" : 20,
"totalElements" : 0,
"totalPages" : 0,
"number" : 0
}
}
A convenient aspect of this hypermedia-driven interface is how you can discover all the RESTful endpoints by using curl (or whatever REST client you like). There is no need to exchange a formal contract or interface document with your customers.
Congratulations! You have just developed an application with a hypermedia-based REST front end and a MongoDB-based back end.
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