```java
package com.gosuncn;
import org.apache.flink.api.common.typeinfo.Types;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.util.Collector;
public class WordCountStreamingJob {
public static void main(String[] args) throws Exception {
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
DataStream<String> lines = env.socketTextStream("47.52.74.183", 8888);
// DataStream<Tuple2> wordAndOne = lines.flatMap((FlatMapFunction<String, Tuple2>) (line, out) -> {
// for (String word : line.split(" ")) {
// out.collect(Tuple2.of(word, 1));
// }
// }).returns(Types.TUPLE(Types.STRING, Types.INT));
DataStream<Tuple2> wordAndOne = lines.flatMap((String line, Collector<Tuple2> out) -> {
for (String word : line.split(" ")) {
out.collect(Tuple2.of(word, 1));
}
}).returns(Types.TUPLE(Types.STRING, Types.INT));
DataStream<Tuple2> summed = wordAndOne.keyBy(0).sum(1);
summed.print();
env.execute("WordCountStreamingJob");
}
}
```
- Flink簡介
- flink搭建standalone模式與測試
- flink提交任務(界面方式)
- Flink項目初始化
- Java版WordCount(匿名類)
- Java版WordCount(lambda)
- Scala版WordCount
- Java版WordCount[批處理]
- Scala版WordCount[批處理]
- 流處理非并行的Source
- 流處理可并行的Source
- kafka的Source
- Flink算子(Map,FlatMap,Filter)
- Flink算子KeyBy
- Flink算子Reduce和Max與Min
- addSink自定義Sink
- startNewChain和disableChaining
- 資源槽slotSharingGroup
- 計數窗口
- 滾動窗口
- 滑動窗口
- Session窗口
- 按照EventTime作為標準