Created
September 18, 2019 13:55
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public class TestCheckpointJob { | |
public static void main(String[] args) throws Exception { | |
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); | |
env.setStreamTimeCharacteristic(TimeCharacteristic.ProcessingTime); | |
Properties kafkaConsumerProperties = new Properties(); | |
kafkaConsumerProperties.setProperty("bootstrap.servers", "localhost:9092"); | |
kafkaConsumerProperties.setProperty("group.id", "test_group_id"); | |
ObjectMapper objectMapper = new ObjectMapper(); | |
FlinkKafkaConsumer010<String> kafkaConsumer010 = new FlinkKafkaConsumer010<>("test_topic", new SimpleStringSchema(), kafkaConsumerProperties); | |
DataStream<String> kafkaSource = env.addSource(kafkaConsumer010).name("kafka_source").uid("kafka_source"); | |
DataStream<TestData> aggregatedStream = kafkaSource | |
.map(row -> objectMapper.readValue(row, TestData.class)) | |
.keyBy(TestData::getKey) | |
.timeWindow(Time.hours(1)) | |
.reduce((rowA, rowB) -> { | |
TestData result = new TestData(); | |
result.setKey(rowA.getKey()); | |
result.setValue(rowA.getValue() + rowB.getValue()); | |
result.setCreatedAt(System.currentTimeMillis()); | |
return result; | |
}).name("aggregate_stream").uid("aggregate_stream"); | |
DataStream<LabeledTestData> labeledTestDataDataStream = aggregatedStream.keyBy(TestData::getKey).flatMap(new ClassifyData()).name("classify_data").uid("classify_data"); | |
labeledTestDataDataStream.map(row -> objectMapper.writeValueAsString(row)).print(); | |
env.execute(); | |
} | |
} |
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