我为自己编写了一个实用程序,将列表分解为给定大小的批次。我只是想知道是否已经有任何apache commons util用于此。

public static <T> List<List<T>> getBatches(List<T> collection,int batchSize){
    int i = 0;
    List<List<T>> batches = new ArrayList<List<T>>();
    while(i<collection.size()){
        int nextInc = Math.min(collection.size()-i,batchSize);
        List<T> batch = collection.subList(i,i+nextInc);
        batches.add(batch);
        i = i + nextInc;
    }

    return batches;
}

请让我知道是否有任何现有的公用事业已经相同。


当前回答

使用Apache Commons ListUtils.partition。

org.apache.commons.collections4.ListUtils.partition(final List<T> list, final int size)

其他回答

Java 8中的一行代码是:

import static java.util.function.Function.identity;
import static java.util.stream.Collectors.*;

private static <T> Collection<List<T>> partition(List<T> xs, int size) {
    return IntStream.range(0, xs.size())
            .boxed()
            .collect(collectingAndThen(toMap(identity(), xs::get), Map::entrySet))
            .stream()
            .collect(groupingBy(x -> x.getKey() / size, mapping(Map.Entry::getValue, toList())))
            .values();

}

下面是一个简单的Java 8+解决方案:

public static <T> Collection<List<T>> prepareChunks(List<T> inputList, int chunkSize) {
    AtomicInteger counter = new AtomicInteger();
    return inputList.stream().collect(Collectors.groupingBy(it -> counter.getAndIncrement() / chunkSize)).values();
}

这里有一个例子:

final AtomicInteger counter = new AtomicInteger();
final int partitionSize=3;
final List<Object> list=new ArrayList<>();
            list.add("A");
            list.add("B");
            list.add("C");
            list.add("D");
            list.add("E");
       
        
final Collection<List<Object>> subLists=list.stream().collect(Collectors.groupingBy
                (it->counter.getAndIncrement() / partitionSize))
                .values();
        System.out.println(subLists);

输入: [a, b, c, d, e]

输出: [a, b, c], [d, e]]

你可以在这里找到例子: https://e.printstacktrace.blog/divide-a-list-to-lists-of-n-size-in-Java-8/

解决这个问题的另一个方法是:

public class CollectionUtils {

    /**
    * Splits the collection into lists with given batch size
    * @param collection to split in to batches
    * @param batchsize size of the batch
    * @param <T> it maintains the input type to output type
    * @return nested list
    */
    public static <T> List<List<T>> makeBatch(Collection<T> collection, int batchsize) {

        List<List<T>> totalArrayList = new ArrayList<>();
        List<T> tempItems = new ArrayList<>();

        Iterator<T> iterator = collection.iterator();

        for (int i = 0; i < collection.size(); i++) {
            tempItems.add(iterator.next());
            if ((i+1) % batchsize == 0) {
                totalArrayList.add(tempItems);
                tempItems = new ArrayList<>();
            }
        }

        if (tempItems.size() > 0) {
            totalArrayList.add(tempItems);
        }

        return totalArrayList;
    }

}

下面的例子演示了一个List的分块:

package de.thomasdarimont.labs;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

public class SplitIntoChunks {

    public static void main(String[] args) {

        List<Integer> ints = Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11);

        List<List<Integer>> chunks = chunk(ints, 4);

        System.out.printf("Ints:   %s%n", ints);
        System.out.printf("Chunks: %s%n", chunks);
    }

    public static <T> List<List<T>> chunk(List<T> input, int chunkSize) {

        int inputSize = input.size();
        int chunkCount = (int) Math.ceil(inputSize / (double) chunkSize);

        Map<Integer, List<T>> map = new HashMap<>(chunkCount);
        List<List<T>> chunks = new ArrayList<>(chunkCount);

        for (int i = 0; i < inputSize; i++) {

            map.computeIfAbsent(i / chunkSize, (ignore) -> {

                List<T> chunk = new ArrayList<>();
                chunks.add(chunk);
                return chunk;

            }).add(input.get(i));
        }

        return chunks;
    }
}

输出:

Ints:   [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
Chunks: [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11]]