我试图从一个 csv 文件中读取，但由于它的大小，没有先将它全部加载到内存中。

我找到的用于读取 csv 的库是 opencsv，它工作得很好，但只公开了两个方法:

readAll() 

和

readNext() 

readAll 已经用完了，因为我不想同时在内存中，所以我想通过 readNext 从文件中延迟读取.理想情况下，我想通过流来结束阅读。

我得到的最接近的方法是将 readnext 方法提供给 Stream.generate 结构，

Stream csvDataStream = Stream.generate(csvReader::readNext); 

但这显然有一个巨大的缺点，即一旦底层 csvReader 的迭代器耗尽就会抛出错误。我真的不想将我的整个程序包装在一个 try/catch block 中，因为我使用的语言有误。有没有办法从仅公开 next 方法的内容创建流？

最佳答案

这是我项目中现成的实现。我有一个抽象拆分器，它处理拆分成固定大小的批处理，并允许高效并行处理任何类型的基于 I/O 的流源:

import static java.util.Spliterators.spliterator;

import java.util.Comparator;
import java.util.Spliterator;
import java.util.function.Consumer;

public abstract class FixedBatchSpliteratorBase<T> implements Spliterator<T> {
  private final int batchSize;
  private final int characteristics;
  private long est;

  public FixedBatchSpliteratorBase(int characteristics, int batchSize, long est) {
    characteristics |= ORDERED;
    if ((characteristics & SIZED) != 0) characteristics |= SUBSIZED;
    this.characteristics = characteristics;
    this.batchSize = batchSize;
    this.est = est;
  }
  public FixedBatchSpliteratorBase(int characteristics, int batchSize) {
    this(characteristics, batchSize, Long.MAX_VALUE);
  }
  public FixedBatchSpliteratorBase(int characteristics) {
    this(characteristics, 64, Long.MAX_VALUE);
  }

  @Override public Spliterator<T> trySplit() {
    final HoldingConsumer<T> holder = new HoldingConsumer<>();
    if (!tryAdvance(holder)) return null;
    final Object[] a = new Object[batchSize];
    int j = 0;
    do a[j] = holder.value; while (++j < batchSize && tryAdvance(holder));
    if (est != Long.MAX_VALUE) est -= j;
    return spliterator(a, 0, j, characteristics());
  }
  @Override public Comparator<? super T> getComparator() {
    if (hasCharacteristics(SORTED)) return null;
    throw new IllegalStateException();
  }
  @Override public long estimateSize() { return est; }
  @Override public int characteristics() { return characteristics; }

  static final class HoldingConsumer<T> implements Consumer<T> {
    Object value;
    @Override public void accept(T value) { this.value = value; }
  }
}

这是基于它的 opencsv 拆分器:

public class CsvSpliterator extends FixedBatchSpliteratorBase<String[]> {
  private final CSVReader cr;

  CsvSpliterator(CSVReader cr, int batchSize) {
    super(NONNULL, batchSize);
    if (cr == null) throw new NullPointerException("CSVReader is null");
    this.cr = cr;
  }
  public CsvSpliterator(CSVReader cr) { this(cr, 100); }

  @Override public void forEachRemaining(Consumer<? super String[]> action) {
    if (action == null) throw new NullPointerException();
    uncheckRun(() -> { for (String[] row; (row = cr.readNext()) != null;) action.accept(row); });
  }
  @Override public boolean tryAdvance(Consumer<? super String[]> action) {
    if (action == null) throw new NullPointerException();
    return uncheckCall(() -> {
      final String[] row = cr.readNext();
      if (row == null) return false;
      action.accept(row);
      return true;
    });
  }
}

uncheckRun和uncheckCall是

public static <T> T uncheckCall(Callable<T> callable) {
  try { return callable.call(); }
  catch (Exception e) { return sneakyThrow(e); }
}
public static void uncheckRun(RunnableExc r) {
  try { r.run(); } catch (Exception e) { sneakyThrow(e); }
}
public static <T> T sneakyThrow(Throwable e) {
  return Util.<RuntimeException, T>sneakyThrow0(e);
}
@SuppressWarnings("unchecked")
private static <E extends Throwable, T> T sneakyThrow0(Throwable t) throws E { throw (E)t; }

用法:

import static java.util.stream.StreamSupport.stream;

....

final CSVReader cr = new CSVReader(new InputStreamReader(yourInputStream), separator, '"');
return stream(new CsvSpliterator(cr), true).onClose(() -> uncheckRun(cr::close));

关于java - 是否可以从仅公开迭代器的 "readNext"部分的对象创建流？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/24458961/