让我们看看如何使用Eclipse Collections筛选内置JDK List和MutableList。

List<Integer> jdkList = Arrays.asList(1, 2, 3, 4, 5);
MutableList<Integer> ecList = Lists.mutable.with(1, 2, 3, 4, 5);

如果希望过滤小于3的数字，则会得到以下输出。

List<Integer> selected = Lists.mutable.with(1, 2);
List<Integer> rejected = Lists.mutable.with(3, 4, 5);

下面介绍如何使用Java 8 lambda作为Predicate进行筛选。

Assert.assertEquals(selected, Iterate.select(jdkList, each -> each < 3));
Assert.assertEquals(rejected, Iterate.reject(jdkList, each -> each < 3));

Assert.assertEquals(selected, ecList.select(each -> each < 3));
Assert.assertEquals(rejected, ecList.reject(each -> each < 3));

下面介绍如何使用匿名内部类作为Predicate进行筛选。

Predicate<Integer> lessThan3 = new Predicate<Integer>()
{
    public boolean accept(Integer each)
    {
        return each < 3;
    }
};

Assert.assertEquals(selected, Iterate.select(jdkList, lessThan3));
Assert.assertEquals(selected, ecList.select(lessThan3));

下面是一些使用Predicates工厂过滤JDK列表和Eclipse Collections mutabllists的替代方案。

Assert.assertEquals(selected, Iterate.select(jdkList, Predicates.lessThan(3)));
Assert.assertEquals(selected, ecList.select(Predicates.lessThan(3)));

下面是一个不为谓词分配对象的版本，而是使用Predicates2工厂，并使用selectWith方法接受Predicate2。

Assert.assertEquals(
    selected, ecList.selectWith(Predicates2.<Integer>lessThan(), 3));

有时你想过滤一个消极的条件。在Eclipse Collections中有一个特殊的方法叫做reject。

Assert.assertEquals(rejected, Iterate.reject(jdkList, lessThan3));
Assert.assertEquals(rejected, ecList.reject(lessThan3));

方法分区将返回两个集合，包含Predicate选择和拒绝的元素。

PartitionIterable<Integer> jdkPartitioned = Iterate.partition(jdkList, lessThan3);
Assert.assertEquals(selected, jdkPartitioned.getSelected());
Assert.assertEquals(rejected, jdkPartitioned.getRejected());

PartitionList<Integer> ecPartitioned = gscList.partition(lessThan3);
Assert.assertEquals(selected, ecPartitioned.getSelected());
Assert.assertEquals(rejected, ecPartitioned.getRejected());

注意:我是Eclipse Collections的提交者。

使用来自Apache Commons的CollectionUtils.filter(Collection,Predicate)。

从java 9开始收集。启用过滤:

public static <T, A, R>
    Collector<T, ?, R> filtering(Predicate<? super T> predicate,
                                 Collector<? super T, A, R> downstream)

因此过滤应该是:

collection.stream().collect(Collectors.filtering(predicate, collector))

例子:

List<Integer> oddNumbers = List.of(1, 19, 15, 10, -10).stream()
            .collect(Collectors.filtering(i -> i % 2 == 1, Collectors.toList()));

这里有一些非常棒的答案。对我来说，我想让事情尽可能简单易懂:

public abstract class AbstractFilter<T> {

    /**
     * Method that returns whether an item is to be included or not.
     * @param item an item from the given collection.
     * @return true if this item is to be included in the collection, false in case it has to be removed.
     */
    protected abstract boolean excludeItem(T item);

    public void filter(Collection<T> collection) {
        if (CollectionUtils.isNotEmpty(collection)) {
            Iterator<T> iterator = collection.iterator();
            while (iterator.hasNext()) {
                if (excludeItem(iterator.next())) {
                    iterator.remove();
                }
            }
        }
    }
}

等待Java 8:

List<Person> olderThan30 = 
  //Create a Stream from the personList
  personList.stream().
  //filter the element to select only those with age >= 30
  filter(p -> p.age >= 30).
  //put those filtered elements into a new List.
  collect(Collectors.toList());

Java集合流的一个替代(更轻量级的)选择是Ocl.java库，它使用vanilla集合和lambdas: https://github.com/eclipse/agileuml/blob/master/Ocl.java

例如，对数组列表中的单词进行简单的筛选和求和 可能是:

ArrayList<Word> sel = Ocl.selectSequence(words, 
                             w -> w.pos.equals("NN")); 
int total = Ocl.sumint(Ocl.collectSequence(sel,
                             w -> w.text.length())); 

Where Word有字符串pos;字符串文本;属性。效率似乎与流选项相似，例如，在两个版本中，10000个单词在大约50毫秒内处理。

Python、Swift等都有等效的OCL库。基本上，Java集合流重新发明了OCL操作——>select， ->collect等，这些操作自1998年以来就存在于OCL中。