abao365 opened a new pull request, #19985:
URL: https://github.com/apache/flink/pull/19985
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.api.java.utils.ParameterTool;
import org.apache.flink.connector.kafka.source.KafkaSource;
import org.apache.flink.connector.kafka.source.KafkaSourceBuilder;
import
org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import java.util.*;
public class KafkaDemo {
public static void main(String[] args) throws Exception {
StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment();
env.getConfig().setGlobalJobParameters(ParameterTool.fromSystemProperties());
List<String> topicNames = new ArrayList<>();
topicNames.add("prod_db_ucontent_unipus_mobile_api_moduledata");
KafkaSourceBuilder<String> kafkaSourceBuilder =
KafkaSource.<String>builder()
.setProperty("partition.discovery.interval.ms","6000")
.setBootstrapServers("10.1.21.44:9092,10.1.6.141:9092,10.1.28.103:9092")
.setGroupId("cwf-08")
.setTopics(topicNames)
.setStartingOffsets(OffsetsInitializer.timestamp(1655353754L))
// .setStartingOffsets(OffsetsInitializer.latest())
// 从时间戳大于等于指定时间的数据开始消费
.setValueOnlyDeserializer(new SimpleStringSchema());
KafkaSource<String> source = kafkaSourceBuilder.build();
String sourceName = String.join( "_",topicNames);
DataStream<String> dataStream = env.fromSource(source,
WatermarkStrategy.noWatermarks(), String.format("source_"+sourceName));
dataStream.print();
env.execute("Fraud Detection");
}
}
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