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public class CustomerBatchFileSplitter { @Splitter public Collection<String> splitAFile(File file) throws Throwable { Reader reader = new FileReader(file); Collection<String> lines = IOUtils.readLines(reader); IOUtils.closeQuietly(reader); return lines; } } A message payload is passed in as a java.io.File and the contents are read. The result (a collection or array value; in this case, a Collection<String>) is returned. Spring Integration executes a kind of foreach on the results, sending each value in the collection out on the output-channel configured for the splitter. Often, you split messages so that the individual pieces can be forwarded to processing that s more focused. Because the message is more manageable, the processing requirements are dampened. This is true in many different architectures: in map/reduce solutions (see 10 for more on this) tasks are split and then processed in parallel, and the fork/join constructs in a BPM system (see 11) let control flow proceed in parallel so that the total work product can be achieved quicker.

System.out.println(a + " / " + b + " = " + result); log.info("The method div() ends with " + result); return result; } } package com.apress.springrecipes.calculator; import org.apache.commons.logging.Log; import org.apache.commons.logging.LogFactory; public class UnitCalculatorImpl implements UnitCalculator { private Log log = LogFactory.getLog(this.getClass()); public double kilogramToPound(double kilogram) { log.info("The method kilogramToPound() begins with " + kilogram); double pound = kilogram * 2.2; System.out.println(kilogram + " kilogram = " + pound + " pound"); log.info("The method kilogramToPound() ends with " + pound); return pound; } public double kilometerToMile(double kilometer) { log.info("The method kilometerToMile() begins with " + kilometer); double mile = kilometer * 0.62; System.out.println(kilometer + " kilometer = " + mile + " mile"); log.info("The method kilometerToMile() ends with " + mile); return mile; } } Now you are free to pick up a logging implementation supported by the Commons Logging library. Currently it mainly supports the Log4J library from Apache and the JDK Logging API (available for JDK 1.4 and higher versions). Of these, Log4J is the better choice, as it is more powerful and easier to configure.

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So where did the project go wrong If we compare the case study to the list of project management assumptions we identified in 3, we can see that most of the problems in the project occurred because the project plan relied on these assumptions, and because they turned out to be incorrect:

directory of the Spring installation) in your classpath. Once the Log4J library is detected in the classpath, Commons Logging will use it as the underlying logging implementation.

Now you can generate the XSD file from the preceding sample XML messages. Most popular XML tools and enterprise Java IDEs can generate an XSD file from a couple of XML files. Here, I have chosen Apache XMLBeans (http://xmlbeans.apache.org/) to generate my XSD file.

You can configure the Log4J library through a properties file named log4j.properties in the root of the classpath. The following Log4J configuration file defines a log appender called stdout that will output log messages to the console in a format controlled by the specified

Note You can download Apache XMLBeans (e.g., v2.4.0) from the Apache XMLBeans web site and extract it to a directory of your choice to complete the installation.

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