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public class CountWindowAll {
private static final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
private static final DataStreamSource<String> stream = env.socketTextStream("192.168.8.111", 8888);
public static void main(String[] args) throws Exception {
SingleOutputStreamOperator<Integer> mapped = stream.map((MapFunction<String, Integer>) Integer::valueOf).returns(Types.INT);
AllWindowedStream<Integer, GlobalWindow> countWindowAll = mapped.countWindowAll(5);
SingleOutputStreamOperator<Integer> summed = countWindowAll.sum(0);
summed.print();
env.execute("CountWindowAll");
}
}
mapped.countWindowAll(5)
窗口大小是5
个数据。
public class CountWindow {
private static final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
private static final DataStreamSource<String> stream = env.socketTextStream("192.168.8.111", 8888);
public static void main(String[] args) throws Exception {
SingleOutputStreamOperator<Tuple2> mapped = stream.map((MapFunction<String, Tuple2>) item -> {
String[] data = item.split(" ");
return Tuple2.of(data[0], Integer.valueOf(data[1]));
}).returns(Types.TUPLE(Types.STRING, Types.INT));
KeyedStream<Tuple2, Tuple> keyed = mapped.keyBy(0);
WindowedStream<Tuple2, Tuple, GlobalWindow> countWindow = keyed.countWindow(5);
SingleOutputStreamOperator<Tuple2> summed = countWindow.sum(1);
summed.print();
env.execute("CountWindow");
}
}
分组后,每个组中的数据达到一定条数,CountWindow
窗口才会被触发。
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