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Solution: The Data Parser Pipeline

Explore how to implement exception handling in a data parser pipeline using Java's try-catch-finally structure. Understand isolating errors within loop iterations, managing NumberFormatException, and ensuring reliable audit logging for each data item processed.

We'll cover the following...
Java 25
public class DataPipeline {
public static void processReadings(String[] rawData) {
for (String data : rawData) {
try {
// Attempt to parse the current string
int value = Integer.parseInt(data);
System.out.println("Parsed Value: " + value);
} catch (NumberFormatException e) {
// Handle non-numeric data gracefully
System.out.println("Skipped invalid data: " + data);
} finally {
// This runs for every item, success or failure
System.out.println("--- Item Processed ---");
}
}
}
public static void main(String[] args) {
String[] rawData = {"100", "N/A", "205", "Error", "42"};
processReadings(rawData);
}
}
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