带opencsv CsvToBean的空指针过量

Question

我正试图使用openCSV.Each行将CSV文件中的所有行转换为java，我的文件中有21列与管道符号(X).But分隔，.But获得空指针异常，而csv文件中的code.rows包含空单元格。

package com.alu.mdf.testsuite.sure;
import java.io.FileReader;
import java.util.List;
import com.opencsv.CSVParser;
import com.opencsv.CSVReader;
import com.opencsv.bean.ColumnPositionMappingStrategy;
import com.opencsv.bean.CsvToBean;

//import com.alu.mdf.test.common.Person;

    public class CSVExplorer {

        @SuppressWarnings({"rawtypes", "unchecked"})
        public static void main(String[] args) throws Exception
        {
            CsvToBean csv = new CsvToBean();

            String csvFilename = "TestCaseConfigurationFiles/application.csv";
            //CSVReader csvReader = new CSVReader;
            CSVParser csvParser=new CSVParser('|');
            CSVReader reader = new CSVReader(new FileReader(csvFilename),1,csvParser);



            //Set column mapping strategy
            List list = csv.parse(setColumMapping(), reader);

            for (Object object : list) {
                SUREDataBean SUREDataBean = (SUREDataBean) object;
                System.out.println(SUREDataBean);
            }
        }

        @SuppressWarnings({"rawtypes", "unchecked"})
        private static ColumnPositionMappingStrategy setColumMapping() throws Exception
        {
            ColumnPositionMappingStrategy strategy = new ColumnPositionMappingStrategy();
            strategy.setType(SUREDataBean.class);
            //strategy.createBean();
            String[] columns = new String[] {"InputDataStartIdentifier","EntityType","Operation","IncludeId","IdValue","AssociatedResource","SearchQueryForGETRequest/ParametersForPUTRequest","PayloadLocation","TestCaseName","Description","userName","password","InputDataEndIdentifier","ValidationDataStart","ExpectedStatusCode","VerficationParameters","Method","class","Prerequisites","Group","ValidationDataEnd"};
            System.out.println(columns.length);
            strategy.setColumnMapping(columns);
            return strategy;
        }

    }

下面是错误堆栈跟踪：

线程“主”java.lang.RuntimeException中的异常:解析CSV错误！在com.opencsv.bean.CsvToBean.parse(CsvToBean.java:95) at com.opencsv.bean.CsvToBean.parse(CsvToBean.java:75) at com.alu.mdf.testsuite.sure.CSVExplorer.main(CSVExplorer.java:28) at : java.lang.NullPointerException at com.opencsv.bean.CsvToBean.processLine(CsvToBean.java:123) at com.opencsv.bean.CsvToBean.processLine(CsvToBean.java:101) at com.opencsv.bean.CsvToBean.parse(CsvToBean.java:91) .

Answer 1

我想你在单级解析器上的麻烦会少一些。它也比OpenCSV快得多。要使用它，首先注释您的bean：

class SUREDataBean {

    @NullString(nulls = { "?", "-" }) // if the value parsed in the quantity column is "?" or "-", it will be replaced by null.
    @Parsed(defaultNullRead = "0") // if a value resolves to null, it will be converted to the String "0".
    private Integer quantity; // The attribute name will be matched against the column header in the file automatically.

    @Trim
    @LowerCase
    @Parsed
    private String comments;
    ...

}

解析：

BeanListProcessor<SUREDataBean> rowProcessor = new BeanListProcessor<SUREDataBean>(SUREDataBean.class);

CsvParserSettings parserSettings = new CsvParserSettings();
settings.getFormat().setDelimiter('|');
parserSettings.setRowProcessor(rowProcessor);
parserSettings.setHeaderExtractionEnabled(true);

CsvParser parser = new CsvParser(parserSettings);

//Parsing is started here.
//this submits all rows parsed from the input to the BeanListProcessor
parser.parse(new FileReader(new File("/examples/bean_test.csv"))); 

List<SUREDataBean> beans = rowProcessor.getBeans();

披露:我是这个图书馆的作者。它是开源和免费的(ApacheV2.0许可证)。