5.4. Pipes and Filters


Overview

The pipes and filters pattern, shown in Figure 5.4, “Pipes and Filters Pattern”, describes a way of constructing a route by creating a chain of filters, where the output of one filter is fed into the input of the next filter in the pipeline (analogous to the UNIX pipe command). The advantage of the pipeline approach is that it enables you to compose services (some of which can be external to the Apache Camel application) to create more complex forms of message processing.

Figure 5.4. Pipes and Filters Pattern

Pipes and filters pattern

Pipeline for the InOut exchange pattern

Normally, all of the endpoints in a pipeline have an input (In message) and an output (Out message), which implies that they are compatible with the InOut message exchange pattern. A typical message flow through an InOut pipeline is shown in Figure 5.5, “Pipeline for InOut Exchanges”.

Figure 5.5. Pipeline for InOut Exchanges

Pipeline for InOut exchanges
The pipeline connects the output of each endpoint to the input of the next endpoint. The Out message from the final endpoint is sent back to the original caller. You can define a route for this pipeline, as follows:
from("jms:RawOrders").pipeline("cxf:bean:decrypt", "cxf:bean:authenticate", "cxf:bean:dedup", "jms:CleanOrders");
The same route can be configured in XML, as follows:
<camelContext id="buildPipeline" xmlns="http://camel.apache.org/schema/spring">
  <route>
    <from uri="jms:RawOrders"/>
    <to uri="cxf:bean:decrypt"/>
    <to uri="cxf:bean:authenticate"/>
    <to uri="cxf:bean:dedup"/>
    <to uri="jms:CleanOrders"/>
  </route>
</camelContext>
There is no dedicated pipeline element in XML. The preceding combination of from and to elements is semantically equivalent to a pipeline. See the section called “Comparison of pipeline() and to() DSL commands”.

Pipeline for the InOnly and RobustInOnly exchange patterns

When there are no Out messages available from the endpoints in the pipeline (as is the case for the InOnly and RobustInOnly exchange patterns), a pipeline cannot be connected in the normal way. In this special case, the pipeline is constructed by passing a copy of the original In message to each of the endpoints in the pipeline, as shown in Figure 5.6, “Pipeline for InOnly Exchanges”. This type of pipeline is equivalent to a recipient list with fixed destinations(see Section 8.3, “Recipient List”).

Figure 5.6. Pipeline for InOnly Exchanges

Pipeline for InOnly exchanges
The route for this pipeline is defined using the same syntax as an InOut pipeline (either in Java DSL or in XML).

Comparison of pipeline() and to() DSL commands

In the Java DSL, you can define a pipeline route using either of the following syntaxes:
  • Using the pipeline() processor command — Use the pipeline processor to construct a pipeline route as follows:
    from(SourceURI).pipeline(FilterA, FilterB, TargetURI);
  • Using the to() command — Use the to() command to construct a pipeline route as follows:
    from(SourceURI).to(FilterA, FilterB, TargetURI);
    Alternatively, you can use the equivalent syntax:
    from(SourceURI).to(FilterA).to(FilterB).to(TargetURI);
Exercise caution when using the to() command syntax, because it is not always equivalent to a pipeline processor. In Java DSL, the meaning of to() can be modified by the preceding command in the route. For example, when the multicast() command precedes the to() command, it binds the listed endpoints into a multicast pattern, instead of a pipeline pattern(see Section 8.11, “Multicast”).
Red Hat logoGithubRedditYoutubeTwitter

Learn

Try, buy, & sell

Communities

About Red Hat Documentation

We help Red Hat users innovate and achieve their goals with our products and services with content they can trust.

Making open source more inclusive

Red Hat is committed to replacing problematic language in our code, documentation, and web properties. For more details, see the Red Hat Blog.

About Red Hat

We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge.

© 2024 Red Hat, Inc.