参考资料 :《Java8 in Action: Lambdas, streams, and functional-style programming》 本文先对Stream作基本介绍,然后介绍如何“复用”stream。 1、 基本介绍 Stream两种操作 [1] filter,map,和limit组合形成管道 [2] collect操作触发管道的执行和stream的关闭 前一种成为 中间操作(intermediate operations) ,后面称...
Stream 操作分为 中间操作(intermediate operation)和 最终操作(terminal operation),这些操作结合起来形成 stream pipeline。stream pipeline 包含一个 Stream 源,后面跟着零到多个 intermediate operations(例如 Stream.filter、Stream.map),再跟上一个 terminal operation(例如 Stream.forEach、Stream.reduce)。
中间操作(Intermediate operations),只对操作进行了记录,即只会返回一个流,不会进行计算操作。 终结操作(Terminal operations),实现了计算操作。 中间操作又可以分为: 无状态(Stateless)操作,元素的处理不受之前元素的影响。 有状态(Stateful)操作,指该操作只有拿到所有元素之后才能继续下去。 终结操作又可以分为: 短路...
Stream中的操作可以分为两大类:中间操作(Intermediate operations)与结束操作(Terminal operations),中间操作只是对操作进行了记录,只有结束操作才会触发实际的计算(即惰性求值),这也是Stream在迭代大集合时高效的原因之一。中间操作又可以分为无状态(Stateless)操作与有状态(Stateful)操作,前者是指元素的处理不受之前元素的...
中间操作(Intermediate Operations):对流进行处理,返回一个新的流。例如,过滤、映射、排序等操作。 终端操作(Terminal Operations):对流进行最终的操作,返回一个结果或者一个副作用。例如,收集、计数、查找等操作。 使用Stream API 找到最大值对应的对象 假设我们有一个学生类Student,它包含了学生的姓名和年龄信息。我们...
Non-terminal (intermediate) operations may return the receiver stream, in which case traditional typestate applies. However, we augmented typestate to apply when a new stream is returned in such situations (cf. sections 3.3 and 3.5). Our approach interprocedurally analyzes relationships between ...
You might be wondering why the distinction is important. Well, intermediate operations do not perform any processing until a terminal operation is invoked on the stream pipeline; they are “lazy.” This is because intermediate operations can usually be “merged” and processed into a single pass ...
The following example uses two predefined reduction operations. Main.java import java.util.Arrays; void main() { int vals[] = { 2, 4, 6, 8, 10, 12, 14, 16 }; int sum = Arrays.stream(vals).sum(); System.out.printf("The sum of values: %d%n", sum); ...
This is aterminal operation. When executed in parallel, multiple intermediate results may be instantiated, populated, and merged so as to maintain isolation of mutable data structures. Therefore, even when executed in parallel with non-thread-safe data structures (such asArrayList), no additional sy...
database-like operations. As a refresher, the example inListing 1shows how to sum the values of only expensive transactions using the Stream API. We set up a pipeline of operations consisting of intermediate operations (filter,map) and a terminal operation (reduce), as illustrated inFigure 1....