Introduction

Java Stream is a great reactive library. However, it is a pull-only reactive library. In some scenario, it is desirable to behave as "push" mode. This library implement the push-version of java stream library.

Usage

I will put the library to JCenter repo sooooooon....

Examples

Mapper

A mapper allows you to transform input to another format. Similar to java.util.Stream#map

PushableStream<Integer, ?> stream = PushableStream
    .<Integer>of()
    .map(i -> i*2)
    .map(i -> "test-" + i)
    .forEach(System.out::println);
    
stream.push(1);
stream.push(2);
stream.push(3,4,5);

Result:

test-2
test-4
test-6
test-8
test-10

Filter

A filter allows you keep the matched item. Similar to java.util.Stream#filter

PushableStream<Integer, ?> stream = PushableStream
        .<Integer>of()
        .filter(i -> i % 2 == 0)
        .forEach(System.out::println);

stream.push(1,2,3,4,5);

Result:

2
4

Collector

A collector allows you reduce the items to a compact result. Similar to java.util.Stream#collect

CollectResult<Long> result = CollectResult.create();
PushableStream<Integer, ?> stream = PushableStream
        .<Integer>of()
        .collect(Collectors.counting(), result);

stream.push(1,2,3,4,5);
System.out.println(result.snapshot());

Result:

15

Multiple Collector

In java stream library, there could be only one collector result. But in pushable stream. We can have multiple collectors in one stream.

CollectResult<Long> count = CollectResult.create();
CollectResult<Integer> sum = CollectResult.create();
PushableStream<Integer, ?> stream = PushableStream
        .<Integer>of()
        .collect(counting(), count)
        .collect(summingInt(i -> i.intValue()), sum);

stream.push(1,2,3,4,5);
System.out.println(count.snapshot());
System.out.println(sum.snapshot());

Result:

5
15

Multi-Threaded Collector

Just like java stream. We support parallel execution to gain better performan

CollectResult<Long> count = CollectResult.create();
PushableStream<Integer, ?> stream = PushableStream
        .<Integer>of()
//        .forEach((i) -> System.out.println(Thread.currentThread().getName()))
        .collect(counting(), count);

stream.push(IntStream.rangeClosed(1, 1_000_000).boxed().parallel());

System.out.println(count.snapshot());

Result:

1000000

Fork the stream!

Sometimes, in the ETL path, the cost of pulling or transforming data may be expensive. Pushable stream allows you to reuse the stream for multiple purposes. For example, you can print the result to the console, save the result to file, and aggregate the data at the same time!

IntStream
.range(0, 5)
.boxed()
.peek(PushableStream
    .<Integer>of()
    .forEach(System.out::println))
.peek(PushableStream
    .<Integer>of().map(i->i*2)
    .forEach(System.out::println))
.map(i -> i * 3)
.forEach(System.out::println);

Result:

0
0
0
1
2
3
2
4
6
3
6
9
4
8
12