使用openCsv解析csv文件

package com.example.springbootwebfluxdemo.utils;

import com.opencsv.*;
import com.opencsv.enums.CSVReaderNullFieldIndicator;
import com.opencsv.processor.RowProcessor;

import java.io.InputStreamReader;
import java.nio.charset.Charset;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.Arrays;
import java.util.List;
import java.util.Locale;

public class OpenCsvTest {

    /**
     * csv解析示例方法
     * @param args
     * @throws Exception
     */
    public static void main(String[] args) throws Exception {
        InputStreamReader in = new InputStreamReader(Files.newInputStream(Paths.get("D:\\白冰 - 副本.csv")), Charset.forName("GBK"));
        CSVParserBuilder parserBuilder = new CSVParserBuilder()
                .withSeparator(ICSVParser.DEFAULT_SEPARATOR)//分隔符
                .withQuoteChar(ICSVParser.DEFAULT_QUOTE_CHARACTER)//引用符
                .withEscapeChar(ICSVParser.DEFAULT_ESCAPE_CHARACTER)//转义符
                .withStrictQuotes(false)
                .withIgnoreLeadingWhiteSpace(true)
                .withIgnoreQuotations(false)
                .withFieldAsNull(CSVReaderNullFieldIndicator.BOTH)
                .withErrorLocale(Locale.getDefault());
        ICSVParser csvParser = parserBuilder.build();

        CSVReaderBuilder readerBuilder = new CSVReaderBuilder(in)
                .withCSVParser(csvParser)
                .withSkipLines(0)
                .withRowProcessor(new CsvRowProcessor());
        CSVReader csvReader = readerBuilder.build();
        List<String[]> list = csvReader.readAll();
    }

    /**
     * 数据处理类，示例代码
     */
    private static class CsvRowProcessor implements RowProcessor {
        @Override
        public String processColumnItem(String column) {
            if(column == null){
                return "";
            }
            return column;
        }

        @Override
        public void processRow(String[] row) {
            for(int i = 0; i < row.length; i++){
                String item = row[i];
                item = this.processColumnItem(item);
                row[i] = item;
            }
            System.out.println(Arrays.toString(row));
        }
    }
}