I have the following code:
List<Details> detailsList = new ArrayList<>();
List<String[]> csv = csvReader.readAll();
final Map<String, Integer> mappedHeaders = mapHeaders(csv.get(0));
List<String[]> data = csv.subList(1, csv.size());
for (String[] entry : data) {
Details details = new Details(
entry[mappedHeaders.get("A")],
entry[mappedHeaders.get("B")],
entry[mappedHeaders.get("C")]);
detailsList.add(details);
I'm essentially reading in a CSV file as a list of string arrays where the first list item is the CSV file headers and all remaining elements correspond to the data rows. However, since different CSV files of the same features might have different feature column ordering I don't know the ordering in advance. For that, I have a mapHeaders method which maps the headers to indices so I can later properly put together the Details object (for example, if headers are ["B", "A", "C"], the mappedHeaders would correspond to {B: 0; A: 1; C: 2}.
I also have some test data files of different column orderings and all but one of them work as they should. However, the one that doesn't work gives me
java.lang.NullPointerException: cannot unbox null value
when trying to evaluate entry[mappedHeaders.get("A")]. Additionally, when running the code in debugging mode, the mappedHeaders contains the correct keys and values and the value for "A" isn't null.
I have also tried entry[mappedHeaders.getOrDefault("A", Arrays.asList(csv.get(0)).indexOf("A"))] which returns -1. The only thing that works is entry[mappedHeaders.getOrDefault("A", 0)] since A is the first column in the failing case, but that workaround don't seem very feasible as there might be more failing cases that I don't know about, but where the ordering is different. What might be the reason for such behavior? Might it be some weird encoding issue?