Migrating Spring Cloud Apps from Spring Boot 1.2 to 1.3

Engineering | Dave Syer | November 25, 2015 | ...

There are some interesting new features in Spring Boot 1.3 that are now available in Spring Cloud in the Brixton release train. The Angel release train of Spring Cloud is partly incompatible with Spring Boot 1.3, so when you upgrade there are some important things to be aware of. This article helps you navigate the changes and update any existing apps to use the new features. It should also be helpful generally when trying to adopt new versions of Spring projects into existing codebases.

TIP: You can use mvn dependency:tree or gradle dependencies to list the dependencies in your project and check the versions.

This Week in Spring - November 23, 2015

Engineering | Josh Long | November 24, 2015 | ...

Welcome to another installation of This Week in Spring! Here in the US it's the week of Thanksgiving, where - hopefully - we take a moment to note the many things for which we're thankful. I'm sure I speak for the whole team here at Pivotal when I say: we're thankful for you, dear community. Thank you.

And so, as usual, we've got a lot to get to it. All the better, in fact, for the lazy hours after turkey!

  • Dr. Mark Pollack has just announced the release of Spring XD 1.3 GA and Spring Flo for Spring XD 1.0. This is a huge release! Spring XD 1.3.0 supports job composition DSLs, Spring Flo for Spring XD, an improved Admin UI, Spark 1.3.1, updates to the Spring Data and Spring for Hadoop distributions, a Cassandra Sink and much more! It is also the last in the line before Spring XD completes its journey to the archhitecture already partially laid out in Spring Cloud Stream and Spring Cloud Dataflow! This is an exciting evolution of the technology!
  • Spring Security and Spring Session lead Rob Winch has just announced Spring Session 1.1.0.M1 complete with a lot of new features: searching HTTP sessions by username, HttpSessionListener support, customized Cookie creation, overriding the default RedisSerializer

Spring XD 1.3 GA and Flo for Spring XD 1.0 GA released

Engineering | Mark Pollack | November 19, 2015 | ...

Today we are pleased to announce the general availability of Spring XD 1.3 and Flo for Spring XD 1.0.

  • Spring XD 1.3 GA: zip, brew and rpm.
  • Flo for Spring XD 1.0 GA: zip.

In addition to bug fixes we have also added several new features in the 1.3 release line

  • Job Composition DSL allows for the creation of a complex graph of job executions.
  • Flo for Spring XD designer supports creating composed jobs.
  • Admin UI supports execution history of composed jobs.
  • Cassandra Sink and Header Enricher Processor
  • Gpfdist sink now supports update operations and full range of control file options
  • Spark 1.3.1 Support
  • A timeout value for flushing writes to HDFS in order to ensure data is persisted on the HDFS DataNode’s disks.
  • General dependency upgrades, Spring Data Gosling, SI 4.2, and Boot 1.2

This Week in Spring - November 17, 2015

Engineering | Josh Long | November 17, 2015 | ...

My goodness the time has flown! We're already staring down the beginning of 2016!

Welcome to another installation of This Week in Spring! This week I'm in beautiful Casablanca, Morocco for Devoxx Morocco! This is the fifth Devoxx this year - with events in Belgium, UK, France, Poland and now Morocco - and I have the rare honor of having spoken at all of them! #fullDevoxx

We've got a lot to cover this week so let's get to it!

This Week in Spring - November, 10, 2015

Engineering | Josh Long | November 10, 2015 | ...

Welcome to another installation of This Week in Spring! This week I'm in Antwerp, Belgium for the grand mother of all Devoxxes (Devoxxen?), Devoxx Belgium! I'm here along with several members of the team and if you're around, don't hesitate to say hi!

This Week in Spring (PCF 1.6 edition!) - November 3, 2015

Engineering | Josh Long | November 03, 2015 | ...

Welcome to another installation of This Week in Spring! This week I'm in Sofia, Bulgaria for one of my favorite shows, the epic Java2Days event!

Last week saw the release (finally!) of Pivotal Cloud Foundry 1.6, which contains more than a year and half of highly anticipated features and heavy lifting. The new release includes, among many other things, support for platform-managed GitLab, JFrog Artifactory, and CloudBees Jenkins CI; support for microservices infrastructure including the Spring Cloud Config Server, and Spring Cloud Eureka; and support for Docker container images and .NET applications; and support for running on Microsoft Azure. This release is packed with all sorts of features optimized for the continuous and safe delivery of software into production and I…

Spring XD 1.3 Demo: Flo for Batch

Engineering | Pieter Humphrey | November 03, 2015 | ...

Flo for Batch pipeline builds upon the newly supported Batch DSL in Spring XD that can be used to create composite batch workflows involving sequential, parallel or even the combination of both jobs.

This Week in Spring (JavaOne 2015 Edition) - October 27, 2015

Engineering | Josh Long | October 28, 2015 | ...

Welcome to another installation of This Week in Spring! This week I'm at JavaOne 2015 in San Francisco along with the rest of the Pivotal team. This week the Pivotal Spring team is out in full force, come stop by and say hi!

There are some great new SpringOne2GX 2015 recordings on line as well as some great community content this week so let's get to it!

React.js and Spring Data REST: Part 5 - Security

Engineering | Greg L. Turnquist | October 28, 2015 | ...
To see updates to this code, visit our React.js and Spring Data REST tutorial.

In the previous session, you made the app dynamically response to updates from other users via Spring Data REST’s built in event handlers and the Spring Framework’s WebSocket support. But no application is complete without securing the whole thing so that only proper users have access to the UI and the resources behind it.

Feel free to grab the code from this repository and follow along. This session is based on the previous session’s app with extra things added.

Adding Spring Security to the project

Before getting underway, you need to add a couple dependencies to your project’s pom.xml file:

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-security</artifactId>
</dependency>
<dependency>
    <groupId>org.thymeleaf.extras</groupId>
    <artifactId>thymeleaf-extras-springsecurity4</artifactId>
</dependency>

This bring in Spring Boot’s Spring Security starter as well as some extra Thymeleaf tags to do security look ups in the web page.

Defining the security model

In the past session, you have worked with a nice payroll system. It’s handy to declare things on the backend and let Spring Data REST do the heavy lifting. The next step is to model a system where security controls need to be instituted.

If this is a payroll system, then only managers would be accessing it. So kick things off by modeling a Manager object:

@Data
@ToString(exclude = "password")
@Entity
public class Manager {
public static final PasswordEncoder PASSWORD_ENCODER = new BCryptPasswordEncoder();

private @Id @GeneratedValue Long id;

private String name;

private @JsonIgnore String password;

private String[] roles;

public void setPassword(String password) {
	this.password = PASSWORD_ENCODER.encode(password);
}

protected Manager() {}

public Manager(String name, String password, String... roles) {

	this.name = name;
	this.setPassword(password);
	this.roles = roles;
}

}

  • PASSWORD_ENCODER is the means to encrypt new passwords or to take password inputs and encrypt them before comparison.
  • id, name, password, and roles define the parameters needed to restrict access.
  • The customized setPassword() ensures that passwords are never stored in the clear.

There is a key thing to keep in mind when designing your security layer. Secure the right bits of data (like passwords) and do NOT let them get printed to console, into logs, or exported via JSON serialization.

  • @ToString(exclude = "password") ensures that the Lombok-generated toString() method will NOT print out the password.
  • @JsonIgnore applied to the password field protects from Jackson serializing this field.

Creating a manager’s repository

Spring Data is so good at managing entities. Why not create a repository to handle these managers?

@RepositoryRestResource(exported = false)
public interface ManagerRepository extends Repository<Manager, Long> {
Manager save(Manager manager);

Manager findByName(String name);

}

Instead of extending the usual CrudRepository, you don’t need so many methods. Instead, you need to save data (which is also used for updates) and you need to look up existing users. Hence, you can use Spring Data Common’s minimal Repository marker interface. It comes with no predefined operations.

Spring Data REST, by default, will export any repository it finds. You do NOT want this repository exposed for REST operations! Apply the @RepositoryRestResource(exported = false) annotation to block it from export. This prevents the repository from being served up as well as any metadata.

Linking employees with their managers

The last bit of modeling security is to associate employees with a manager. In this domain, an employee can have one manager while a manager can have multiple employees:

@Data
@Entity
public class Employee {
private @Id @GeneratedValue Long id…

The Spring Boot Dashboard in STS - Part 3: Spring Boot Devtools reloaded

Engineering | Martin Lippert | October 22, 2015 | ...

Welcome back Spring community,

to this final part of our series about the new Spring Boot Dashboard in the Spring Tool Suite. In this final part we will take a deeper look at using the Spring Boot Devtools in combination with the boot dashboard. Again, this feature is new with Spring Boot 1.3, so you need to be on that version in order to use the following features.

Quickly deploy code changes

For local apps, using the Spring Boot Devtools is extremely easy and straightforward. As soon as you add the Spring Boot Devtools to your project as a dependency (there is an easy menu option for that in the Spring category of your context menu) and start your app, it will listen for local changes to configuration and class files and kick a restart of the app for you automatically. You don’t even need to restart the app yourself, the Spring Boot Devtools will do that for you automatically. Since STS/Eclipse produces and updates class files whenever you save a file, all this happens automatically for you when working within STS.

This story gets more interesting if you run your Spring Boot apps on a remote runtime like Cloud Foundry. In principle, you can use the Spring Boot Devtools in such a remote setting as well, but it requires a bit more work. The good news is that the Spring Boot Dashboard helps you with that.

As soon as you deploy or restart (and therefore update) a Spring Boot app on Cloud Foundry (using the boot dashboard) that has the Spring Boot Devtools on its classpath, the boot dashboard will configure the boot app on CF for the remote usage of the devtools automatically. This includes primarily the setting of a remote secret - to allow remote devtools access to it.

Once the devtools-enabled boot app is running on Cloud Foundry, you can easily start the boot devtools remote client application for it. This client application runs locally on your machine and connects to the remote application on Cloud Foundry. It watches for file changes, uploads them to the app on Cloud Foundry and triggers a restart of the app on Cloud Foundry.

Since the remote client app will watch for file changes within the project on your local machine, you can continue to work within your IDE as usual. Changed files are automatically updated to the Cloud Foundry version of the app by the remote client app. The counterpart on Cloud Foundry will restart the boot app once those changed files are stored to the app on Cloud Foundry. This works for newly compiled source code as well as for changed resource files.

This allows you to achieve quick turnaround cycles when working on your project even if it is deployed to a remote cloud runtime.

Debugging in the cloud

In addition to the automatic restart feature, the Spring Boot Devtools also enable full debugging of remote apps on a cloud runtime. This is supported by the Spring Boot Dashboard in STS, too. If you have the Spring Boot Devtools on the classpath of your application, you can press the (re)debug button for the Cloud Foundry instance of the app. This will restart the app on Cloud Foundry in debug mode, automatically start the corresponding remote client app on your machine, and hook up the Eclipse debugger to it.

You can debug the application that is running on the cloud runtime in the same way as local applications, including setting breakpoints, inspecting variables, or even hot-swapping code. However, the automatic restart feature is not available for apps running in debug mode (due to technical limitations of the boot devtools at the moment).

If you try the remote debugging of apps on Cloud Foundry, you will notice a significant slowdown in debugging. This is caused by the tunneling of the remote debug protocol of the JVM through a HTTP connection, something the remote debug protocol is not designed for. We are working on improving this by using a different transport mechanism. But the remote debugging of the app on Cloud Foundry should be something you rarely do. For more frequent debugging you might want to consider running and debugging the app locally and connecting it up with the rest of your application services via the ngrok tunneling feature that we described in the previous part of this blog series.

Conclusion

This concludes the blog series on the Spring Boot Dashboard, a new feature in the Spring Tool Suite since its 3.7.1 release. Let us know about your experiences using the dashboard.

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