Here is the line i am using currently
File booleanTopicFile;
// booleanTopicFile is csv file uploaded from form
CSVReader csvReader = new CSVReader(new InputStreamReader(new FileInputStream(booleanTopicFile), "UTF-8"));
Want to skip the first line of the csv which contains headings. I dont want to use any separator as except the default one comma(,) which is already available in default constructor. In parameterized constructor there is a option to skip no. of lines but how to deal with the 2nd and 3rd param of the constructor.
CSVReader csvReader = new CSVReader(new InputStreamReader(Reader reader, char c, char c1, int index);
-- Thanks
CSVReader类的此构造方法在读取文件时将跳过csv的第一行。
CSVReader reader = new CSVReader(new FileReader(file), ',', '\'', 1);
I found this question and response helpful, I'd like to expand on Christophe Roussy's comment . In the latest opencsv (2.3 as of this writing) The actual line of code is:
new CSVReader( new StringReader(csvText), CSVParser.DEFAULT_SEPARATOR,
CSVParser.DEFAULT_QUOTE_CHARACTER, 1);
Note it uses CSVParser instead of CSVReader.
At least since version 3.8 you can use the CSVReaderBuilder
and set it to skip the first line.
Example:
CSVReader reader = new CSVReaderBuilder(inputStreamReader)
.withFieldAsNull(CSVReaderNullFieldIndicator.EMPTY_SEPARATORS)
// Skip the header
.withSkipLines(1)
.build();
最新版本的opencsv版本使用-
CSVReader csvReader = new CSVReaderBuilder(new FileReader("book.csv")).withSkipLines(1).build()
You can also use withFilter
:
watFileCsvBeans = new CsvToBeanBuilder<ClassType>(isr)
.withType(ClassType.class)
.withIgnoreLeadingWhiteSpace(true)
// CsvToBeanFilter with a custom allowLine implementation
.withFilter(line -> !line[0].equals("skipme"))
.build()
.parse();
watFileCsvBeans = new CsvToBeanBuilder<ClassType>(isr)
.withType(ClassType.class)
.withIgnoreLeadingWhiteSpace(true)
// CsvToBeanFilter with a custom allowLine implementation
.withFilter(line -> !line[0].equals("skipme"))
.build()
.parse();
It's useful in my case. Instead, "withSkipLines" is not working for me. opencsv version: 5.5.2
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