使用java 8，特别是lambda表达式，你可以像下面的例子那样简单:

myProducts.stream().filter(prod -> prod.price>10).collect(Collectors.toList())

其中，对于myProducts集合中的每个产品，如果prodc .price>10，则将该产品添加到新的过滤列表中。

从Java 8的早期发行版开始，你可以尝试这样做:

Collection<T> collection = ...;
Stream<T> stream = collection.stream().filter(...);

例如，如果你有一个整数列表，你想过滤> 10的数字，然后将这些数字打印到控制台，你可以这样做:

List<Integer> numbers = Arrays.asList(12, 74, 5, 8, 16);
numbers.stream().filter(n -> n > 10).forEach(System.out::println);

https://code.google.com/p/joquery/

支持不同的可能性，

给定的集合,

Collection<Dto> testList = new ArrayList<>();

的类型,

class Dto
{
    private int id;
    private String text;

    public int getId()
    {
        return id;
    }

    public int getText()
    {
        return text;
    }
}

过滤器

Java 7

Filter<Dto> query = CQ.<Dto>filter(testList)
    .where()
    .property("id").eq().value(1);
Collection<Dto> filtered = query.list();

Java 8

Filter<Dto> query = CQ.<Dto>filter(testList)
    .where()
    .property(Dto::getId)
    .eq().value(1);
Collection<Dto> filtered = query.list();

同时,

Filter<Dto> query = CQ.<Dto>filter()
        .from(testList)
        .where()
        .property(Dto::getId).between().value(1).value(2)
        .and()
        .property(Dto::grtText).in().value(new string[]{"a","b"});

排序(也可用于Java 7)

Filter<Dto> query = CQ.<Dto>filter(testList)
        .orderBy()
        .property(Dto::getId)
        .property(Dto::getName)
    Collection<Dto> sorted = query.list();

分组(也可用于Java 7)

GroupQuery<Integer,Dto> query = CQ.<Dto,Dto>query(testList)
        .group()
        .groupBy(Dto::getId)
    Collection<Grouping<Integer,Dto>> grouped = query.list();

连接(也可用于Java 7)

考虑到,

class LeftDto
{
    private int id;
    private String text;

    public int getId()
    {
        return id;
    }

    public int getText()
    {
        return text;
    }
}

class RightDto
{
    private int id;
    private int leftId;
    private String text;

    public int getId()
    {
        return id;
    }

    public int getLeftId()
        {
            return leftId;
        }

    public int getText()
    {
        return text;
    }
}

class JoinedDto
{
    private int leftId;
    private int rightId;
    private String text;

    public JoinedDto(int leftId,int rightId,String text)
    {
        this.leftId = leftId;
        this.rightId = rightId;
        this.text = text;
    }

    public int getLeftId()
    {
        return leftId;
    }

    public int getRightId()
        {
            return rightId;
        }

    public int getText()
    {
        return text;
    }
}

Collection<LeftDto> leftList = new ArrayList<>();

Collection<RightDto> rightList = new ArrayList<>();

可以像这样连接，

Collection<JoinedDto> results = CQ.<LeftDto, LeftDto>query().from(leftList)
                .<RightDto, JoinedDto>innerJoin(CQ.<RightDto, RightDto>query().from(rightList))
                .on(LeftFyo::getId, RightDto::getLeftId)
                .transformDirect(selection ->  new JoinedDto(selection.getLeft().getText()
                                                     , selection.getLeft().getId()
                                                     , selection.getRight().getId())
                                 )
                .list();

表达式

Filter<Dto> query = CQ.<Dto>filter()
    .from(testList)
    .where()
    .exec(s -> s.getId() + 1).eq().value(2);

您确定要筛选Collection本身，而不是迭代器吗?

看到org.apache.commons.collections.iterators.FilterIterator

或者使用apache commons的第四版org.apache.commons.collections4.iterators.FilterIterator

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()));

JFilter http://code.google.com/p/jfilter/最适合您的需求。

JFilter是一个简单、高性能的开源库，用于查询Java bean集合。

关键特性

Support of collection (java.util.Collection, java.util.Map and Array) properties. Support of collection inside collection of any depth. Support of inner queries. Support of parameterized queries. Can filter 1 million records in few 100 ms. Filter ( query) is given in simple json format, it is like Mangodb queries. Following are some examples. { "id":{"$le":"10"} where object id property is less than equals to 10. { "id": {"$in":["0", "100"]}} where object id property is 0 or 100. {"lineItems":{"lineAmount":"1"}} where lineItems collection property of parameterized type has lineAmount equals to 1. { "$and":[{"id": "0"}, {"billingAddress":{"city":"DEL"}}]} where id property is 0 and billingAddress.city property is DEL. {"lineItems":{"taxes":{ "key":{"code":"GST"}, "value":{"$gt": "1.01"}}}} where lineItems collection property of parameterized type which has taxes map type property of parameteriszed type has code equals to GST value greater than 1.01. {'$or':[{'code':'10'},{'skus': {'$and':[{'price':{'$in':['20', '40']}}, {'code':'RedApple'}]}}]} Select all products where product code is 10 or sku price in 20 and 40 and sku code is "RedApple".