I'm trying to map a large csv file to a class with jackson csv. That csv file is not normalized at all which leads to several problems.
To give you an impression, I created a representive file:
,B,C,D,E,F�F,G,H H,I (I)
0,AAA,20. Jan.,10,A,5,AA: AAAA,1,A�AAA
1,BBB,05-Dez-14,12,BBB,1,BB: BBBB,32,BBB
2,CCCC,28. Jun.,80,CCCC,2,CCCC: CCCC,1,CCC / CCC
The first row represents the header and the first column the ids. The Jackson CsvMapper fails on mapping the first column because of it's empty name.
CsvMapper mapper = new CsvMapper();
CsvSchema bootstrapSchema = CsvSchema.builder()
.setColumnSeparator(',')
.setUseHeader(true)
.setStrictHeaders(true)
.setSkipFirstDataRow(true)
.addColumn("", CsvSchema.ColumnType.NUMBER)
.addColumn("B", CsvSchema.ColumnType.STRING)
.addColumn("C", CsvSchema.ColumnType.STRING)
.addColumn("D", CsvSchema.ColumnType.NUMBER)
.addColumn("E", CsvSchema.ColumnType.STRING)
.addColumn("F�F", CsvSchema.ColumnType.NUMBER)
.addColumn("G", CsvSchema.ColumnType.STRING)
.addColumn("H H", CsvSchema.ColumnType.NUMBER)
.addColumn("I (I)", CsvSchema.ColumnType.STRING)
.build();
//File file = new ClassPathResource(fileName).getFile();
MappingIterator<POJO> readValues =
mapper.reader(POJO.class).with(bootstrapSchema).readValues(file);
while (readValues.hasNext()){
logger.info(mapper.writeValueAsString(readValues.nextValue()));
}
And the POJO Class:
@JsonPropertyOrder({"","B","C","D","E","F�F", "G","H H","I (I)"})
public class POJO {
@JsonProperty
private Integer id;
@JsonProperty("B")
private String b;
@JsonProperty("C")
private String c;
@JsonProperty("D")
private Integer d;
@JsonProperty("E")
private String e;
@JsonProperty("F�F")
private Integer f;
@JsonProperty("G")
private String g;
@JsonProperty("HH")
private Integer h;
@JsonProperty("I (I)")
private String i;
}
So, how to map this mess correctly?
Thanks in advance
Try changing your CsvMapper
like this.
List<Object> objList = new CsvMapper()
.enable(CsvParser.Feature.SKIP_EMPTY_LINES)
.enable(CsvParser.Feature.TRIM_SPACES)
.enable(CsvParser.Feature.WRAP_AS_ARRAY)
.enable(CsvParser.Feature.INSERT_NULLS_FOR_MISSING_COLUMNS)
.readerFor(Map.class)
.with(CsvSchema.emptySchema().withHeader())
.readValues(file)
.readAll();
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