Este contenido no está disponible en el idioma seleccionado.

Chapter 88. Dozer Component


Available as of Camel version 2.15

The dozer: component provides the ability to map between Java beans using the Dozer mapping framework since Camel 2.15.0. Camel also supports the ability to trigger Dozer mappings as a type converter. The primary differences between using a Dozer endpoint and a Dozer converter are:

  • The ability to manage Dozer mapping configuration on a per-endpoint basis vs. global configuration via the converter registry.
  • A Dozer endpoint can be configured to marshal/unmarshal input and output data using Camel data formats to support a single, any-to-any transformation endpoint
  • The Dozer component allows for fine-grained integration and extension of Dozer to support additional functionality (e.g. mapping literal values, using expressions for mappings, etc.).

In order to use the Dozer component, Maven users will need to add the following dependency to their pom.xml:

<dependency>
    <groupId>org.apache.camel</groupId>
    <artifactId>camel-dozer</artifactId>
    <version>x.x.x</version>
    <!-- use the same version as your Camel core version -->
</dependency>

88.1. URI format

The Dozer component only supports producer endpoints.

dozer:endpointId[?options]

Where endpointId is a name used to uniquely identify the Dozer endpoint configuration.

An example Dozer endpoint URI:

from("direct:orderInput").
  to("dozer:transformOrder?mappingFile=orderMapping.xml&targetModel=example.XYZOrder").
  to("direct:orderOutput");

88.2. Options

The Dozer component has no options.

The Dozer endpoint is configured using URI syntax:

dozer:name

with the following path and query parameters:

88.2.1. Path Parameters (1 parameters):

NameDescriptionDefaultType

name

Required A human readable name of the mapping.

 

String

88.2.2. Query Parameters (7 parameters):

NameDescriptionDefaultType

mappingConfiguration (producer)

The name of a DozerBeanMapperConfiguration bean in the Camel registry which should be used for configuring the Dozer mapping. This is an alternative to the mappingFile option that can be used for fine-grained control over how Dozer is configured. Remember to use a # prefix in the value to indicate that the bean is in the Camel registry (e.g. #myDozerConfig).

 

DozerBeanMapper Configuration

mappingFile (producer)

The location of a Dozer configuration file. The file is loaded from the classpath by default, but you can use file:, classpath:, or http: to load the configuration from a specific location.

dozerBeanMapping.xml

String

marshalId (producer)

The id of a dataFormat defined within the Camel Context to use for marshalling the mapping output to a non-Java type.

 

String

sourceModel (producer)

Fully-qualified class name for the source type used in the mapping. If specified, the input to the mapping is converted to the specified type before being mapped with Dozer.

 

String

targetModel (producer)

Required Fully-qualified class name for the target type used in the mapping.

 

String

unmarshalId (producer)

The id of a dataFormat defined within the Camel Context to use for unmarshalling the mapping input from a non-Java type.

 

String

synchronous (advanced)

Sets whether synchronous processing should be strictly used, or Camel is allowed to use asynchronous processing (if supported).

false

boolean

88.3. Spring Boot Auto-Configuration

The component supports 2 options, which are listed below.

NameDescriptionDefaultType

camel.component.dozer.enabled

Enable dozer component

true

Boolean

camel.component.dozer.resolve-property-placeholders

Whether the component should resolve property placeholders on itself when starting. Only properties which are of String type can use property placeholders.

true

Boolean

88.4. Using Data Formats with Dozer

Dozer does not support non-Java sources and targets for mappings, so it cannot, for example, map an XML document to a Java object on its own. Luckily, Camel has extensive support for marshalling between Java and a wide variety of formats using data formats. The Dozer component takes advantage of this support by allowing you to specify that input and output data should be passed through a data format prior to processing via Dozer. You can always do this on your own outside the call to Dozer, but supporting it directly in the Dozer component allows you to use a single endpoints to configure any-to-any transformation within Camel.

As an example, let’s say you wanted to map between an XML data structure and a JSON data structure using the Dozer component. If you had the following data formats defined in a Camel Context:

<dataFormats>
  <json library="Jackson" id="myjson"/>
  <jaxb contextPath="org.example" id="myjaxb"/>
</dataFormats>

You could then configure a Dozer endpoint to unmarshal the input XML using a JAXB data format and marshal the mapping output using Jackson.

<endpoint uri="dozer:xml2json?marshalId=myjson&amp;unmarshalId=myjaxb&amp;targetModel=org.example.Order"/>

88.5. Configuring Dozer

All Dozer endpoints require a Dozer mapping configuration file which defines mappings between source and target objects. The component will default to a location of META-INF/dozerBeanMapping.xml if the mappingFile or mappingConfiguration options are not specified on an endpoint. If you need to supply multiple mapping configuration files for a single endpoint or specify additional configuration options (e.g. event listeners, custom converters, etc.), then you can use an instance of org.apache.camel.converter.dozer.DozerBeanMapperConfiguration.

<bean id="mapper" class="org.apache.camel.converter.dozer.DozerBeanMapperConfiguration">
  <property name="mappingFiles">
    <list>
      <value>mapping1.xml</value>
      <value>mapping2.xml</value>
    </list>
  </property>
</bean>

88.6. Mapping Extensions

The Dozer component implements a number of extensions to the Dozer mapping framework as custom converters. These converters implement mapping functions that are not supported directly by Dozer itself.

88.6.1. Variable Mappings

Variable mappings allow you to map the value of a variable definition within a Dozer configuration into a target field instead of using the value of a source field. This is equivalent to constant mapping in other mapping frameworks, where can you assign a literal value to a target field. To use a variable mapping, simply define a variable within your mapping configuration and then map from the VariableMapper class into your target field of choice:

<mappings xmlns="http://dozermapper.github.io/schema/bean-mapping"
          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
          xsi:schemaLocation="http://dozermapper.github.io/schema/bean-mapping http://dozermapper.github.io/schema/bean-mapping.xsd">
  <configuration>
    <variables>
      <variable name="CUST_ID">ACME-SALES</variable>
    </variables>
  </configuration>
  <mapping>
    <class-a>org.apache.camel.component.dozer.VariableMapper</class-a>
    <class-b>org.example.Order</class-b>
    <field custom-converter-id="_variableMapping" custom-converter-param="${CUST_ID}">
      <a>literal</a>
      <b>custId</b>
    </field>
  </mapping>
</mappings>

88.6.2. Custom Mappings

Custom mappings allow you to define your own logic for how a source field is mapped to a target field. They are similar in function to Dozer customer converters, with two notable differences:

  • You can have multiple converter methods in a single class with custom mappings.
  • There is no requirement to implement a Dozer-specific interface with custom mappings.

A custom mapping is declared by using the built-in '_customMapping' converter in your mapping configuration. The parameter to this converter has the following syntax:

[class-name][,method-name]

Method name is optional - the Dozer component will search for a method that matches the input and output types required for a mapping. An example custom mapping and configuration are provided below.

public class CustomMapper {
    // All customer ids must be wrapped in "[ ]"
    public Object mapCustomer(String customerId) {
        return "[" + customerId + "]";
    }
}
<mappings xmlns="http://dozermapper.github.io/schema/bean-mapping"
          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
          xsi:schemaLocation="http://dozermapper.github.io/schema/bean-mapping http://dozermapper.github.io/schema/bean-mapping.xsd">
  <mapping>
    <class-a>org.example.A</class-a>
    <class-b>org.example.B</class-b>
    <field custom-converter-id="_customMapping"
        custom-converter-param="org.example.CustomMapper,mapCustomer">
      <a>header.customerNum</a>
      <b>custId</b>
    </field>
  </mapping>
</mappings>

88.6.3. Expression Mappings

Expression mappings allow you to use the powerful language capabilities of Camel to evaluate an expression and assign the result to a target field in a mapping. Any language that Camel supports can be used in an expression mapping. Basic examples of expressions include the ability to map a Camel message header or exchange property to a target field or to concatenate multiple source fields into a target field. The syntax of a mapping expression is:

[language]:[expression]

An example of mapping a message header into a target field:

<mappings xmlns="http://dozermapper.github.io/schema/bean-mapping"
          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
          xsi:schemaLocation="http://dozermapper.github.io/schema/bean-mapping http://dozermapper.github.io/schema/bean-mapping.xsd">
  <mapping>
    <class-a>org.apache.camel.component.dozer.ExpressionMapper</class-a>
    <class-b>org.example.B</class-b>
    <field custom-converter-id="_expressionMapping" custom-converter-param="simple:\${header.customerNumber}">
      <a>expression</a>
      <b>custId</b>
    </field>
  </mapping>
</mappings>

Note that any properties within your expression must be escaped with "\" to prevent an error when Dozer attempts to resolve variable values defined using the EL.

Red Hat logoGithubRedditYoutubeTwitter

Aprender

Pruebe, compre y venda

Comunidades

Acerca de la documentación de Red Hat

Ayudamos a los usuarios de Red Hat a innovar y alcanzar sus objetivos con nuestros productos y servicios con contenido en el que pueden confiar.

Hacer que el código abierto sea más inclusivo

Red Hat se compromete a reemplazar el lenguaje problemático en nuestro código, documentación y propiedades web. Para más detalles, consulte el Blog de Red Hat.

Acerca de Red Hat

Ofrecemos soluciones reforzadas que facilitan a las empresas trabajar en plataformas y entornos, desde el centro de datos central hasta el perímetro de la red.

© 2024 Red Hat, Inc.