我正在尝试使用 SuperCSV 将数据库中的大量行(约 200 万行)写入 CSV 文件。我需要在编写每个单元格时对其执行验证，内置的 CellProcessors 做得非常好。我想捕获 CellProcessors 抛出的所有异常，以便我可以返回到源数据并进行更改。

问题是，当一行中有多个错误时(例如，第一个值超出范围，第二个值是 null 但不应该是)，只有第一个 CellProcessor 会执行，所以我会只看到其中一个错误。我想一次处理整个文件，并在最后处理一整套异常。

这是我正在尝试的一种方法:

for (Row row : rows) {
    try {
        csvBeanWriter.write(row, HEADER_MAPPINGS, CELL_PROCESSORS);
    } catch (SuperCsvCellProcessorException e) {
        log(e);
    }
}

我怎样才能做到这一点？谢谢!

编辑:这是我编写的与 Hound Dog 类似的代码，以防对任何人有帮助:

import java.util.List;

import org.supercsv.cellprocessor.CellProcessorAdaptor;
import org.supercsv.cellprocessor.ift.CellProcessor;
import org.supercsv.exception.SuperCsvCellProcessorException;
import org.supercsv.util.CsvContext;

public class ExceptionCapturingCellProcessor extends CellProcessorAdaptor {

    private final List<Exception> exceptions;

    private final CellProcessor current;

    public ExceptionCapturingCellProcessor(CellProcessor current, CellProcessor next, List<Exception> exceptions) {
        super(next);
        this.exceptions = exceptions;
        this.current = current;
    }

    @Override
    public Object execute(Object value, CsvContext context) {
        // Check input is not null
        try {
            validateInputNotNull(value, context);
        } catch (SuperCsvCellProcessorException e) {
            exceptions.add(e);
        }

        // Execute wrapped CellProcessor
        try {
            current.execute(value, context);
        } catch (SuperCsvCellProcessorException e) {
            exceptions.add(e);
        }

        return next.execute(value, context);
    }
}

最佳答案

我推荐 writing a custom CellProcessor为了达成这个。下面的处理器可以放在每个 CellProcessor 链的开头 - 它只会委托(delegate)给链接在它后面的处理器，并将抑制任何单元格处理异常。

package example;

import java.util.ArrayList;
import java.util.List;
import org.supercsv.cellprocessor.CellProcessorAdaptor;
import org.supercsv.cellprocessor.ift.CellProcessor;
import org.supercsv.exception.SuperCsvCellProcessorException;
import org.supercsv.util.CsvContext;

public class SuppressException extends CellProcessorAdaptor {

    public static List<SuperCsvCellProcessorException> SUPPRESSED_EXCEPTIONS = 
            new ArrayList<SuperCsvCellProcessorException>();

    public SuppressException(CellProcessor next) {
        super(next);
    }

    public Object execute(Object value, CsvContext context) {
        try {
            // attempt to execute the next processor
            return next.execute(value, context);

        } catch (SuperCsvCellProcessorException e) {
            // save the exception
            SUPPRESSED_EXCEPTIONS.add(e);

            // and suppress it (null is written as "")
            return null;
        }
    }
}

这是实际操作:

package example;

import java.io.StringWriter;
import java.util.Arrays;
import java.util.List;

import org.supercsv.cellprocessor.constraint.NotNull;
import org.supercsv.cellprocessor.constraint.StrMinMax;
import org.supercsv.cellprocessor.ift.CellProcessor;
import org.supercsv.exception.SuperCsvCellProcessorException;
import org.supercsv.io.CsvBeanWriter;
import org.supercsv.io.ICsvBeanWriter;
import org.supercsv.prefs.CsvPreference;

public class TestSuppressExceptions {

    private static final CellProcessor[] PROCESSORS = {
            new SuppressException(new StrMinMax(0, 4)),
            new SuppressException(new NotNull()) };

    private static final String[] HEADER = { "name", "age" };

    public static void main(String[] args) throws Exception {

        final StringWriter stringWriter = new StringWriter();
        ICsvBeanWriter beanWriter = null;
        try {
            beanWriter = new CsvBeanWriter(stringWriter,
                    CsvPreference.STANDARD_PREFERENCE);

            beanWriter.writeHeader(HEADER);

            // set up the data
            Person valid = new Person("Rick", 43);
            Person nullAge = new Person("Lori", null);
            Person totallyInvalid = new Person("Shane", null);
            Person valid2 = new Person("Carl", 12);
            List<Person> people = Arrays.asList(valid, nullAge, totallyInvalid,
                    valid2);

            for (Person person : people) {
                beanWriter.write(person, HEADER, PROCESSORS);

                if (!SuppressException.SUPPRESSED_EXCEPTIONS.isEmpty()) {
                    System.out.println("Suppressed exceptions for row "
                                        + beanWriter.getRowNumber() + ":");
                    for (SuperCsvCellProcessorException e :
                                        SuppressException.SUPPRESSED_EXCEPTIONS) {
                        System.out.println(e);
                    }
                    // clear ready for next row
                    SuppressException.SUPPRESSED_EXCEPTIONS.clear();
                }

            }

        } finally {
            beanWriter.close();
        }

        // CSV will have empty columns for invalid data
        System.out.println(stringWriter);

    }

}

这是被抑制的异常输出(第 4 行有两个异常，每列一个):

Suppressed exceptions for row 3:
org.supercsv.exception.SuperCsvConstraintViolationException: null value 
encountered processor=org.supercsv.cellprocessor.constraint.NotNull
context={lineNo=3, rowNo=3, columnNo=2, rowSource=[Lori, null]}
Suppressed exceptions for row 4:
org.supercsv.exception.SuperCsvConstraintViolationException: the length (5) 
of value 'Shane' does not lie between the min (0) and max (4) values (inclusive)
processor=org.supercsv.cellprocessor.constraint.StrMinMax
context={lineNo=4, rowNo=4, columnNo=2, rowSource=[Shane, null]}
org.supercsv.exception.SuperCsvConstraintViolationException: null value 
encountered processor=org.supercsv.cellprocessor.constraint.NotNull
context={lineNo=4, rowNo=4, columnNo=2, rowSource=[Shane, null]}

和 CSV 输出

name,age
Rick,43
Lori,
,
Carl,12

请注意无效值是如何写成 "" 的，因为 SuppressException 处理器为这些值返回了 null(不是您要使用的CSV 输出，因为它无效!)。

关于java - 使用 SuperCSV 一次性验证每个字段，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/13646982/