Recently I wanted to use the Tuckey UrlRewriteFilter. It is described as: A Java Web Filter for any compliant web application server, which allows you to rewrite URLs before they get to your code.
I wanted to load my urlrewrite.xml
as a Spring (classpath) resource, instead of loading it from the default location provided by the UrlRewriteFilter. The default behavior loads the configuration file from /WEB-INF/ulrewrite.xml
. In my case I wanted to load it from the /src/main/resources
folder, which is the root of my classpath.
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To get objects from the registry or context we specify the type of the object we want. Ratpack will find the object(s) that match the given type. If we use the get
method then the last object added to the registry with the given type is returned. To get multiple objects we use the getAll
method. The methods returns an Iterable
with the found objects where the last added objects are returned as first elements.
In the following example specification we have a Registry
with some objects, of which two are of type User
. Next we use the get
and getAll
methods to get the objects.
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We can use the wiretap
method of the Promise
interface to listen in on results. We write an Action
implementation which has the result of a Promise
encapsulated in a Result
object. The wiretap
method can be used to do something with a Promise
value without interrupting a method chain.
In the following example we tap in on Promise
results:
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I have seen several projects where the developers had implemented caching all over the place. Caches were causing a large increase of heap usage, and users were always complaining that they were not seeing the latest data. My opinion on this is that a decision to add caching should not be taken lightly. Adding a cache means adding a lot of additional (or so-called accidental) complexity and also has a functional impact on the users. Adding a cache raises a lot of questions that need to be answered:
- What if cached data is updated, should the cached record be updated or evicted too?
- What should we do in a distributed environment, use a distributed cache? Is this distributed cache scalable?
- Do we get the performance improvements we're expecting?
- What is an acceptable delay for users to see the updated data?
- How many elements should we store in the cache?
- What eviction policy do we need when not all data fits in the cache?
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In a Spock specification we write our assertion in the then:
or expect:
blocks. If we need to write multiple assertions for an object we can group those with the with
method. We specify the object we want write assertions for as argument followed by a closure with the real assertions. We don't need to use the assert
keyword inside the closure, just as we don't have to use the assert
keyword in an expect:
or then:
block.
In the following example specification we have a very simple implementation for finding an User
object. We want to check that the properties username
and name
have the correct value.
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Interesting links for week 4 2016:
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In a previous blog post we learned how to use HandlerDecorator.prepend
to add common handlers via the registry in our application. The type of handlers suitable for this approach were handlers that had common functionality for the rest of the handlers. If we want to add a Chain
implementation, containing handlers and maybe even path information, we cannot use the prepend
method, must write our own implementation of the HandlerDecorator
interface. This can be useful when we want to re-use a Chain
in multiple applications. We write a module that adds the Chain
implementation to the registry and we don't have to write any code in the handlers
section for the Chain
to work. This blog post is inspired by a conversation on the Ratpack Slack channel recently. First we create a simple handler that renders a result:
// File: src/main/groovy/com/mrhaki/ratpack/Ping.groovy
package com.mrhaki.ratpack
import ratpack.groovy.handling.GroovyChainAction
/**
* Implementation of a {@link ratpack.handling.Chain} interface
* by extending {@link GroovyChainAction}, so
* we can use Groovy DSL support in the
* {@link Ping#execute} method.
*/
class Ping extends GroovyChainAction {
@Override
void execute() throws Exception {
// What we normally would write
// in the handlers{} section
// of Ratpack.groovy.
path('pingpong') {
render 'Ratpack rules!'
}
}
}
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In our Ratpack application we can have handlers that need to be invoked for every request. For example the handler needs to set a response header and will use the Context.next()
method to continue with the rest of the handlers. When we have such a handler we can use the all
method of a Chain
instance. This happens in the handlers
section of our application definition. We can also register such handlers directly in the registry. We can even use a Module
to register the handler implementation. To register a handler in the registry we must use the HandlerDecorator
interface. The interface has a method prepend
that will encapsulate a Handler
implementation and makes it available before any other handlers.
In the following sample we have a Handler
implementation that checks if the RequestId
object is available. If so then the value is set as a response header:
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A client of our Ratpack application can send a HTTP Accept header to indicate the type of response the client expects or can handle. We can restrict our application to certain types with the accepts
method of the Handlers
class. We can define one or more String
values that denote the types that a client can use and our application responds to. If the value for the Accept header is one of the given values then the next handlers are invoked otherwise a client error 406 Not Acceptable
is returned.
In the following example Ratpack application definition we use the accepts
method so only values of application/json
and application/xml
:
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If we write our own handler class it is not so difficult to get objects from the registry and use them in the code. In our handler we have a handle
method and we get a Context
object as argument. From the Context
we get access to objects in the registry. Instead of writing code to get the objects from the registry we can use the InjectionHandler
as superclass for our handler. The InjectionHandler
class has a handle
method that will look for a handle
method in our implementation class with a first argument of type Context
. Then at least one other argument must be defined in the method signature. The types of the other arguments are used to get the corresponding objects from the registry. We don't write the code to get the object from the registry ourselves, but rely on the implementation in the InjectionHandler
class.
The following example handler class extends from the InjectionHandler
. We write a handle
method and from the signature we see that we have a dependency on the type Messages
. In the implementation of the handle
method we can rely on the InjectionHandler
class to get an object from the registry with type Messages
.
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Interesting links for week 3 2016:
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The logging framework SLF4J supports Mapped Diagnostic Context (MDC). With MDC we can use a logging context that can be identified by something unique. This is useful, because then we can distinguish log messages from a big logging stream by something unique. Normally MDC is implemented on a per thread basis, but that is not useful in a Ratpack application. Ratpack provides the MDCInterceptor
class to use SLF4J's MDC support in a Ratpack application. We must register an instance of MDCInterceptor
with the registry. We can use the static method instance
to create a new instance. With the method withInit
we can define an action to be executed for the initialisation of the instance. An Execution
parameter is used with the action and we can use it to check for objects in the registry.
In the following example we initialise the MDCInterceptor
and check if there is a RequestId
object in the registry (as described in the Javadoc of MDCInterceptor
). If the RequestId
object is available we set the MDC logging context variable requestId
with the value of the RequestId
object. Later in our logging configuration we can use this value so we can distinguish all logging statements belonging to a single request (with the given identifier).
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