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  • lambdaj学习

    原文地址:http://www.thinksaas.cn/topics/0/83/83436.html

    package info.yiwen.data;
    
    /**
     * 测试用bean对象,产品
     * @author 乔学士
    *
    */
    public class Product {
    
    private int id;
    private String name;
    private double price;
    private double weight;
    private String type;
    
    public String getName() {
    return name;
    }
    public void setName(String name) {
    this.name = name;
    }
    public double getPrice() {
    return price;
    }
    public void setPrice(double price) {
    this.price = price;
    }
    public double getWeight() {
    return weight;
    }
    public void setWeight(double weight) {
    this.weight = weight;
    }
    public String getType() {
    return type;
    }
    public void setType(String type) {
    this.type = type;
    }
    public int getId() {
    return id;
    }
    public void setId(int id) {
    this.id = id;
    }
    @Override
    public String toString() {
    return"Product [id="+ id +", name="+ name +", price="+ price
    +", type="+ type +", weight="+ weight +"]";
    }
    }
    
    package info.yiwen.data;
    
    import java.util.ArrayList;
    import java.util.List;
    import java.util.Random;
    
    
    /**
     * 生产产品的工厂
     * @author 乔学士
    *
    */
    public class ProductFactory {
    
    public static List<Product> genRandomProduct(int amount){
    if(amount < 0 ){
    amount = 1;
    }
    Random random = new Random();
    List<Product> ps = new ArrayList<Product>(amount);
    for(int i = 0; i < amount; i++){
    Product p = new Product();
    int randomNum = random.nextInt(100); 
    p.setId(i+1);
    p.setId(i+1);
    p.setName("name"+ randomNum);
    p.setPrice(Math.round(random.nextDouble() * 1000));
    p.setWeight(Math.round(random.nextDouble() * 1000));
    p.setType("type"+ randomNum);
    ps.add(p);
    }
    
    return ps;
    }
    }
    
    package info.yiwen.test;
    import java.util.Iterator;
    import java.util.List;
    import java.util.Map;
    
    import ch.lambdaj.function.closure.Closure;
    
    
    import info.yiwen.data.Product;
    import info.yiwen.data.ProductFactory;
    import static ch.lambdaj.Lambda.*;
    import static ch.lambdaj.collection.LambdaCollections.*;
    import static org.hamcrest.Matchers.*;
    
    /**
     * 测试类,方便起见,没有用jUnit
     * @author 乔学士
    *
    */
    public class Test {
    public static void main(String[] args) {
    List<Product> ps = ProductFactory.genRandomProduct(10);
    
    printl(1);
    //1.简单例子
    //对每个product都设置price为100
    //forEach(ps).setPrice(100); //对每个product都设置setPrice为100
    //按重量从小到大进行排序
    ps = sort(ps, on(Product.class).getWeight()); 
    print(ps);
    
    printl(2);
    //2.joinFrom 连接某个属性,中间默认用逗号加空格(","), 可以自定义分隔符
    //连接每个product对象的name
    String names = joinFrom(ps).getName();
    //连接每个product对象的name,间隔符为":"
    String names2 = joinFrom(ps,":").getName();
    System.out.println(names);
    System.out.println(names2);
    
    printl(3);
    //3.select
    //从ps中选择出重量大于等于500的
    List<Product> ps2 = select(ps,
    //注意下面greaterThanOrEqualTo方法中参数的类型一定要和getWeight严格相等
    having(on(Product.class).getWeight(), greaterThanOrEqualTo(new Double(500)))
    );
    System.out.println(ps2);
    
    printl(4);
    //4.selectMin找到最小的, also selectMax
    //找到重量最轻的产品
    Product p = selectMin(ps, on(Product.class).getWeight());
    System.out.println(p);
    
    printl(5);
    //5.max and maxFrom, also min and minFrom
    //找到最重的产品的重量(两种方法)
    //5.1
    double weight1 = max(ps, on(Product.class).getWeight());
    //5.2
    double weight2 = maxFrom(ps).getWeight();
    System.out.println(weight1 +","+ weight2);
    
    printl(6);
    //6.extract,抽取所有对象的某一列返回值
    //得到每个产品的id
    //6.1 使用on
    List<Integer> ids = extract(ps, on(Product.class).getId());
    System.out.println(ids);
    //6.2 使用属性名
    List<?> ids2 = extractProperty(ps,"id");
    System.out.println(ids2);
    
    printl(7);
    //7.index 返回一个map,value是每个对象,key是对象的某个属性
    //返回一个key为id,value是对象的Map
    Map<Integer, ?> map = index(ps, on(Product.class).getId()); 
    print(map);
    
    
    printl(8);
    //8.with 使用更为流畅的方法
    //找到重量大于400的产品的id列表,并排序
    
    //8.1原始方法
    List<Double> prices1 = sort(
    extract(
    select(ps, having(on(Product.class).getWeight(), greaterThan(400.0))),
    on(Product.class).getPrice()
    ),
    on(Double.class).doubleValue()
    );
    
    //8.2使用with的方法
    List<Double> prices2 = with(ps)
    .retain(having(on(Product.class).getWeight(), greaterThan(400.0)))
    .extract(on(Product.class).getPrice())
    .sort(on(Double.class).doubleValue());
    
    System.out.println(prices1);
    System.out.println(prices2);
    
    printl(9);
    //9.闭包 ,of(T t) 返回T类型
    Closure println = closure(); //创建一个closure,放到ThreadLocal中
    of(System.out).println(var(String.class)); //of方法从ThreadLocal中得到这个Closure
    println.apply("hello");
    println.each("hello","oschina");
    }
    
    static void print(Iterable<?> ps){
    Iterator<?> it = ps.iterator();
    while(it.hasNext()){
    System.out.println(it.next());
    }
    }
    static void print(Map<?, ?> map){
    for(Map.Entry<?, ?> e :map.entrySet()){
    System.out.println(e.getKey() +":"+ e.getValue());
    }
    }
    
    static void printl(int itemNo){
    System.out.println("--------------------"+ itemNo +"---------------------");
    }
    }
    
    --------------------1---------------------
    Product [id=4, name=name22, price=56.0, type=type22, weight=193.0]
    Product [id=6, name=name24, price=35.0, type=type24, weight=194.0]
    Product [id=9, name=name48, price=371.0, type=type48, weight=417.0]
    Product [id=8, name=name95, price=981.0, type=type95, weight=434.0]
    Product [id=5, name=name22, price=566.0, type=type22, weight=594.0]
    Product [id=2, name=name83, price=249.0, type=type83, weight=764.0]
    Product [id=10, name=name17, price=359.0, type=type17, weight=855.0]
    Product [id=7, name=name30, price=203.0, type=type30, weight=877.0]
    Product [id=3, name=name94, price=897.0, type=type94, weight=981.0]
    Product [id=1, name=name55, price=714.0, type=type55, weight=991.0]
    --------------------2---------------------
    name22, name24, name48, name95, name22, name83, name17, name30, name94, name55
    name22:name24:name48:name95:name22:name83:name17:name30:name94:name55
    --------------------3---------------------
    [Product [id=5, name=name22, price=566.0, type=type22, weight=594.0], Product [id=2, name=name83, price=249.0, type=type83, weight=764.0], Product [id=10, name=name17, price=359.0, type=type17, weight=855.0], Product [id=7, name=name30, price=203.0, type=type30, weight=877.0], Product [id=3, name=name94, price=897.0, type=type94, weight=981.0], Product [id=1, name=name55, price=714.0, type=type55, weight=991.0]]
    --------------------4---------------------
    Product [id=4, name=name22, price=56.0, type=type22, weight=193.0]
    --------------------5---------------------
    991.0,991.0
    --------------------6---------------------
    [4, 6, 9, 8, 5, 2, 10, 7, 3, 1]
    [4, 6, 9, 8, 5, 2, 10, 7, 3, 1]
    --------------------7---------------------
    1:Product [id=1, name=name55, price=714.0, type=type55, weight=991.0]
    2:Product [id=2, name=name83, price=249.0, type=type83, weight=764.0]
    3:Product [id=3, name=name94, price=897.0, type=type94, weight=981.0]
    4:Product [id=4, name=name22, price=56.0, type=type22, weight=193.0]
    5:Product [id=5, name=name22, price=566.0, type=type22, weight=594.0]
    6:Product [id=6, name=name24, price=35.0, type=type24, weight=194.0]
    7:Product [id=7, name=name30, price=203.0, type=type30, weight=877.0]
    8:Product [id=8, name=name95, price=981.0, type=type95, weight=434.0]
    9:Product [id=9, name=name48, price=371.0, type=type48, weight=417.0]
    10:Product [id=10, name=name17, price=359.0, type=type17, weight=855.0]
    --------------------8---------------------
    [203.0, 249.0, 359.0, 371.0, 566.0, 714.0, 897.0, 981.0]
    [203.0, 249.0, 359.0, 371.0, 566.0, 714.0, 897.0, 981.0]
    --------------------9---------------------
    hello
    hello
    oschina
    
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  • 原文地址:https://www.cnblogs.com/zypu/p/6531041.html
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