使用uniVocity解析器不会出错。它支持各种强大的操作,并且比任何其他Java CSV解析器都要快得多。
下面是一个包含一些示例的类:
class TestBean {
// if the value parsed in the quantity column is "?" or "-", it will be replaced by null.
@NullString(nulls = { "?", "-" })
// if a value resolves to null, it will be converted to the String "0".
@Parsed(defaultNullRead = "0")
private Integer quantity; // The attribute type defines which conversion will be executed when processing the value.
@Trim
@LowerCase
// the value for the comments attribute is in the column at index 4 (0 is the first column, so this means fifth column in the file)
@Parsed(index = 4)
private String comments;
// you can also explicitly give the name of a column in the file.
@Parsed(field = "amount")
private BigDecimal amount;
@Trim
@LowerCase
// values "no", "n" and "null" will be converted to false; values "yes" and "y" will be converted to true
@BooleanString(falseStrings = { "no", "n", "null" }, trueStrings = { "yes", "y" })
@Parsed
private Boolean pending;
}
下面介绍如何获取列表TestBean
BeanListProcessor<TestBean> rowProcessor = new BeanListProcessor<TestBean>(TestBean.class);
CsvParserSettings parserSettings = new CsvParserSettings();
parserSettings.setRowProcessor(rowProcessor);
parserSettings.setHeaderExtractionEnabled(true);
CsvParser parser = new CsvParser(parserSettings);
parser.parse(getReader("/examples/bean_test.csv"));
List<TestBean> beans = rowProcessor.getBeans();
披露:我是这个库的作者。它是开源和免费的(Apache V2.0许可证)。