FlinkCDC(Change Data Capture)Kafka 是一個用于捕獲和跟蹤 Kafka 集群中數據變更的 Flink 連接器
Properties properties = new Properties();
properties.setProperty("bootstrap.servers", "localhost:9092");
properties.setProperty("group.id", "flinkcdc-consumer-group");
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
DataStream<KafkaRecord<String, String>> kafkaRecords = env.addSource(new FlinkKafkaConsumer<>("my-topic", new SimpleStringSchema(), properties));
DataStream<KafkaRecord<String, String>> windowedRecords = kafkaRecords
.keyBy(/* key selector */)
.window(/* window specification */)
.apply(/* window function */);
DataStream<KafkaRecord<String, String>> throttledRecords = kafkaRecords
.keyBy(/* key selector */)
.timeWindow(/* window specification */)
.apply(new WindowFunction<KafkaRecord<String, String>, ResultType, KeyType, TimeWindow>() {
@Override
public void apply(KeyType key, TimeWindow window, Iterable<KafkaRecord<String, String>> input, Collector<ResultType> out) {
// Rate limiting logic here
}
});
通過以上方法,你可以在 FlinkCDC Kafka 中實現數據流控制。請注意,這些示例代碼需要根據你的具體需求進行調整。