聊聊flink的ParallelIteratorInputFormat

final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
        DataSet<Long> dataSet = env.generateSequence(15,106)
                .setParallelism(3);
        dataSet.print();
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• 这里使用ExecutionEnvironment的generateSequence方法创建了带NumberSequenceIterator的ParallelIteratorInputFormat

ParallelIteratorInputFormat

flink-java-1.6.2-sources.jar!/org/apache/flink/api/java/io/ParallelIteratorInputFormat.java

/**
 * An input format that generates data in parallel through a {@link SplittableIterator}.
 */
@PublicEvolving
public class ParallelIteratorInputFormat<T> extends GenericInputFormat<T> {

	private static final long serialVersionUID = 1L;

	private final SplittableIterator<T> source;

	private transient Iterator<T> splitIterator;

	public ParallelIteratorInputFormat(SplittableIterator<T> iterator) {
		this.source = iterator;
	}

	@Override
	public void open(GenericInputSplit split) throws IOException {
		super.open(split);

		this.splitIterator = this.source.getSplit(split.getSplitNumber(), split.getTotalNumberOfSplits());
	}

	@Override
	public boolean reachedEnd() {
		return !this.splitIterator.hasNext();
	}

	@Override
	public T nextRecord(T reuse) {
		return this.splitIterator.next();
	}
}
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• ParallelIteratorInputFormat继承了GenericInputFormat类，而GenericInputFormat类底下还有其他四个子类，分别是CRowValuesInputFormat、CollectionInputFormat、IteratorInputFormat、ValuesInputFormat，它们有一个共同的特点就是都实现了NonParallelInput接口

NonParallelInput

flink-core-1.6.2-sources.jar!/org/apache/flink/api/common/io/NonParallelInput.java

/**
 * This interface acts as a marker for input formats for inputs which cannot be split.
 * Data sources with a non-parallel input formats are always executed with a parallelism
 * of one.
 * 
 * @see InputFormat
 */
@Public
public interface NonParallelInput {
}
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• 这个接口没有定义任何方法，仅仅是一个标识，表示该InputFormat是否支持split

GenericInputFormat.createInputSplits

flink-core-1.6.2-sources.jar!/org/apache/flink/api/common/io/GenericInputFormat.java

@Override
	public GenericInputSplit[] createInputSplits(int numSplits) throws IOException {
		if (numSplits < 1) {
			throw new IllegalArgumentException("Number of input splits has to be at least 1.");
		}

		numSplits = (this instanceof NonParallelInput) ? 1 : numSplits;
		GenericInputSplit[] splits = new GenericInputSplit[numSplits];
		for (int i = 0; i < splits.length; i++) {
			splits[i] = new GenericInputSplit(i, numSplits);
		}
		return splits;
	}
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• GenericInputFormat的createInputSplits方法对输入的numSplits进行了限制，如果小于1则抛出IllegalArgumentException异常，如果当前InputFormat有实现NonParallelInput接口，则将numSplits重置为1

ExecutionEnvironment.fromParallelCollection

flink-java-1.6.2-sources.jar!/org/apache/flink/api/java/ExecutionEnvironment.java

/**
	 * Creates a new data set that contains elements in the iterator. The iterator is splittable, allowing the
	 * framework to create a parallel data source that returns the elements in the iterator.
	 *
	 * <p>Because the iterator will remain unmodified until the actual execution happens, the type of data
	 * returned by the iterator must be given explicitly in the form of the type class (this is due to the
	 * fact that the Java compiler erases the generic type information).
	 *
	 * @param iterator The iterator that produces the elements of the data set.
	 * @param type The class of the data produced by the iterator. Must not be a generic class.
	 * @return A DataSet representing the elements in the iterator.
	 *
	 * @see #fromParallelCollection(SplittableIterator, TypeInformation)
	 */
	public <X> DataSource<X> fromParallelCollection(SplittableIterator<X> iterator, Class<X> type) {
		return fromParallelCollection(iterator, TypeExtractor.getForClass(type));
	}

	/**
	 * Creates a new data set that contains elements in the iterator. The iterator is splittable, allowing the
	 * framework to create a parallel data source that returns the elements in the iterator.
	 *
	 * <p>Because the iterator will remain unmodified until the actual execution happens, the type of data
	 * returned by the iterator must be given explicitly in the form of the type information.
	 * This method is useful for cases where the type is generic. In that case, the type class
	 * (as given in {@link #fromParallelCollection(SplittableIterator, Class)} does not supply all type information.
	 *
	 * @param iterator The iterator that produces the elements of the data set.
	 * @param type The TypeInformation for the produced data set.
	 * @return A DataSet representing the elements in the iterator.
	 *
	 * @see #fromParallelCollection(SplittableIterator, Class)
	 */
	public <X> DataSource<X> fromParallelCollection(SplittableIterator<X> iterator, TypeInformation<X> type) {
		return fromParallelCollection(iterator, type, Utils.getCallLocationName());
	}

	// private helper for passing different call location names
	private <X> DataSource<X> fromParallelCollection(SplittableIterator<X> iterator, TypeInformation<X> type, String callLocationName) {
		return new DataSource<>(this, new ParallelIteratorInputFormat<>(iterator), type, callLocationName);
	}

	/**
	 * Creates a new data set that contains a sequence of numbers. The data set will be created in parallel,
	 * so there is no guarantee about the order of the elements.
	 *
	 * @param from The number to start at (inclusive).
	 * @param to The number to stop at (inclusive).
	 * @return A DataSet, containing all number in the {@code [from, to]} interval.
	 */
	public DataSource<Long> generateSequence(long from, long to) {
		return fromParallelCollection(new NumberSequenceIterator(from, to), BasicTypeInfo.LONG_TYPE_INFO, Utils.getCallLocationName());
	}
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• ExecutionEnvironment的fromParallelCollection方法，针对SplittableIterator类型的iterator，会创建ParallelIteratorInputFormat；generateSequence方法也调用了fromParallelCollection方法，它创建的是NumberSequenceIterator( 是SplittableIterator的子类 )

SplittableIterator

flink-core-1.6.2-sources.jar!/org/apache/flink/util/SplittableIterator.java

/**
 * Abstract base class for iterators that can split themselves into multiple disjoint
 * iterators. The union of these iterators returns the original iterator values.
 *
 * @param <T> The type of elements returned by the iterator.
 */
@Public
public abstract class SplittableIterator<T> implements Iterator<T>, Serializable {

	private static final long serialVersionUID = 200377674313072307L;

	/**
	 * Splits this iterator into a number disjoint iterators.
	 * The union of these iterators returns the original iterator values.
	 *
	 * @param numPartitions The number of iterators to split into.
	 * @return An array with the split iterators.
	 */
	public abstract Iterator<T>[] split(int numPartitions);

	/**
	 * Splits this iterator into <i>n</i> partitions and returns the <i>i-th</i> partition
	 * out of those.
	 *
	 * @param num The partition to return (<i>i</i>).
	 * @param numPartitions The number of partitions to split into (<i>n</i>).
	 * @return The iterator for the partition.
	 */
	public Iterator<T> getSplit(int num, int numPartitions) {
		if (numPartitions < 1 || num < 0 || num >= numPartitions) {
			throw new IllegalArgumentException();
		}

		return split(numPartitions)[num];
	}

	/**
	 * The maximum number of splits into which this iterator can be split up.
	 *
	 * @return The maximum number of splits into which this iterator can be split up.
	 */
	public abstract int getMaximumNumberOfSplits();
}
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• SplittableIterator是个抽象类，它定义了抽象方法split以及getMaximumNumberOfSplits；它有两个实现类，分别是LongValueSequenceIterator以及NumberSequenceIterator，这里我们看下NumberSequenceIterator

NumberSequenceIterator

flink-core-1.6.2-sources.jar!/org/apache/flink/util/NumberSequenceIterator.java

/**
 * The {@code NumberSequenceIterator} is an iterator that returns a sequence of numbers (as {@code Long})s.
 * The iterator is splittable (as defined by {@link SplittableIterator}, i.e., it can be divided into multiple
 * iterators that each return a subsequence of the number sequence.
 */
@Public
public class NumberSequenceIterator extends SplittableIterator<Long> {

	private static final long serialVersionUID = 1L;

	/** The last number returned by the iterator. */
	private final long to;

	/** The next number to be returned. */
	private long current;


	/**
	 * Creates a new splittable iterator, returning the range [from, to].
	 * Both boundaries of the interval are inclusive.
	 *
	 * @param from The first number returned by the iterator.
	 * @param to The last number returned by the iterator.
	 */
	public NumberSequenceIterator(long from, long to) {
		if (from > to) {
			throw new IllegalArgumentException("The 'to' value must not be smaller than the 'from' value.");
		}

		this.current = from;
		this.to = to;
	}


	@Override
	public boolean hasNext() {
		return current <= to;
	}

	@Override
	public Long next() {
		if (current <= to) {
			return current++;
		} else {
			throw new NoSuchElementException();
		}
	}

	@Override
	public NumberSequenceIterator[] split(int numPartitions) {
		if (numPartitions < 1) {
			throw new IllegalArgumentException("The number of partitions must be at least 1.");
		}

		if (numPartitions == 1) {
			return new NumberSequenceIterator[] { new NumberSequenceIterator(current, to) };
		}

		// here, numPartitions >= 2 !!!

		long elementsPerSplit;

		if (to - current + 1 >= 0) {
			elementsPerSplit = (to - current + 1) / numPartitions;
		}
		else {
			// long overflow of the range.
			// we compute based on half the distance, to prevent the overflow.
			// in most cases it holds that: current < 0 and to > 0, except for: to == 0 and current == Long.MIN_VALUE
			// the later needs a special case
			final long halfDiff; // must be positive

			if (current == Long.MIN_VALUE) {
				// this means to >= 0
				halfDiff = (Long.MAX_VALUE / 2 + 1) + to / 2;
			} else {
				long posFrom = -current;
				if (posFrom > to) {
					halfDiff = to + ((posFrom - to) / 2);
				} else {
					halfDiff = posFrom + ((to - posFrom) / 2);
				}
			}
			elementsPerSplit = halfDiff / numPartitions * 2;
		}

		if (elementsPerSplit < Long.MAX_VALUE) {
			// figure out how many get one in addition
			long numWithExtra = -(elementsPerSplit * numPartitions) + to - current + 1;

			// based on rounding errors, we may have lost one)
			if (numWithExtra > numPartitions) {
				elementsPerSplit++;
				numWithExtra -= numPartitions;

				if (numWithExtra > numPartitions) {
					throw new RuntimeException("Bug in splitting logic. To much rounding loss.");
				}
			}

			NumberSequenceIterator[] iters = new NumberSequenceIterator[numPartitions];
			long curr = current;
			int i = 0;
			for (; i < numWithExtra; i++) {
				long next = curr + elementsPerSplit + 1;
				iters[i] = new NumberSequenceIterator(curr, next - 1);
				curr = next;
			}
			for (; i < numPartitions; i++) {
				long next = curr + elementsPerSplit;
				iters[i] = new NumberSequenceIterator(curr, next - 1, true);
				curr = next;
			}

			return iters;
		}
		else {
			// this can only be the case when there are two partitions
			if (numPartitions != 2) {
				throw new RuntimeException("Bug in splitting logic.");
			}

			return new NumberSequenceIterator[] {
				new NumberSequenceIterator(current, current + elementsPerSplit),
				new NumberSequenceIterator(current + elementsPerSplit, to)
			};
		}
	}

	@Override
	public int getMaximumNumberOfSplits() {
		if (to >= Integer.MAX_VALUE || current <= Integer.MIN_VALUE || to - current + 1 >= Integer.MAX_VALUE) {
			return Integer.MAX_VALUE;
		}
		else {
			return (int) (to - current + 1);
		}
	}

	//......
}
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• NumberSequenceIterator的构造器提供了from及to两个参数，它内部有一个current值，初始的时候等于from
• split方法首先根据numPartitions，来计算elementsPerSplit，当to - current + 1 >= 0时，计算公式为(to - current + 1) / numPartitions
• 之后根据计算出来的elementsPerSplit来计算numWithExtra，这是因为计算elementsPerSplit的时候用的是取整操作，如果每一批都按elementsPerSplit，可能存在多余的，于是就算出这个多余的numWithExtra，如果它大于numPartitions，则对elementsPerSplit增加1，然后对numWithExtra减去numPartitions
• 最后就是先根据numWithExtra来循环分配前numWithExtra个批次，将多余的numWithExtra平均分配给前numWithExtra个批次；numWithExtra之后到numPartitions的批次，就正常的使用from + elementsPerSplit -1来计算to
• getMaximumNumberOfSplits则是返回可以split的最大数量，(to >= Integer.MAX_VALUE || current <= Integer.MIN_VALUE || to - current + 1 >= Integer.MAX_VALUE)的条件下返回Integer.MAX_VALUE，否则返回(int) (to - current + 1)