bug复现操作

idea运行代码后往source kafka发送一条数据

a,1,1690304400000

可以看到无限输出:

理论上时间语义不建议混用,但是在rich函数中的确可以做到混用且正常使用

问题复现代码

package com.yy.flinkWindowAndTriggerimport com.yy.flinkWindow.M1
import org.apache.flink.api.common.eventtime.WatermarkStrategy
import org.apache.flink.configuration.{Configuration, RestOptions}
import org.apache.flink.connector.kafka.source.KafkaSource
import org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer
import org.apache.flink.streaming.api.functions.timestamps.BoundedOutOfOrdernessTimestampExtractor
import org.apache.flink.streaming.api.scala._
import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows
import org.apache.flink.streaming.api.windowing.time.Time
import org.apache.flink.streaming.api.windowing.time.Time.seconds
import org.apache.flink.streaming.api.windowing.triggers.{ContinuousProcessingTimeTrigger, CountTrigger, ProcessingTimeTrigger}
import org.apache.flink.streaming.api.windowing.windows.TimeWindow
import org.joda.time.Secondsobject flinkEventWindowAndProcessTriggerBUGLearn {def main(args: Array[String]): Unit = {// flink 启动本地webuival conf = new Configurationconf.setInteger(RestOptions.PORT, 28080)//    val env = StreamExecutionEnvironment.getExecutionEnvironmentval env = StreamExecutionEnvironment.createLocalEnvironmentWithWebUI(conf)//    val env = StreamExecutionEnvironment.getExecutionEnvironmentenv.setParallelism(1)env.configure(conf)/*kafka输入:a,1,1690304400000        //对应 2023-07-26 01:00:00 (无限输出)       //如果传入 a,1,1693037756000 对应:2023-08-26 16:15:56 (1条/s)a,1,7200000               // 1970-01-1 10:00:00*/val brokers = "172.18.105.147:9092"val source = KafkaSource.builder[String].setBootstrapServers(brokers).setTopics("t1").setGroupId("my-group-23asdf46").setStartingOffsets(OffsetsInitializer.latest())// .setDeserializer() // 参数: KafkaRecordDeserializationSchema.setDeserializer(new M1()).build()val ds1 = env.fromSource(source, WatermarkStrategy.noWatermarks(), "Kafka Source")val s1 = ds1.map(_.split(",")).map(x => C1(x(0), x(1).toInt, x(2).toLong)) // key number 时间戳.assignTimestampsAndWatermarks(new OTAWatermarks(Time.seconds(0))).keyBy(_.f1).window(TumblingEventTimeWindows.of(seconds(10))).trigger(ContinuousProcessingTimeTrigger.of[TimeWindow](seconds(10L))).reduce((x, y) => C1(x.f1, x.f2 + y.f2, 100L))s1.print()env.execute("KafkaNewSourceAPi")}// 乱序流class OTAWatermarks(time: Time) extends BoundedOutOfOrdernessTimestampExtractor[C1](time) {override def extractTimestamp(element: C1): Long = {element.f3}}// key num timestampcase class C1(f1: String, f2: Int, f3: Long)
}

maven pom

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"><modelVersion>4.0.0</modelVersion><groupId>org.example</groupId><artifactId>FlinkLocalDemo</artifactId><version>1.0-SNAPSHOT</version><packaging>jar</packaging><name>FlinkLocalDemo</name><url>http://maven.apache.org</url><properties><project.build.sourceEncoding>UTF-8</project.build.sourceEncoding><flink.version>1.17.1</flink.version><scala.binary.version>2.12</scala.binary.version><scala.version>2.12.8</scala.version></properties><dependencies><!-- https://mvnrepository.com/artifact/joda-time/joda-time --><dependency><groupId>joda-time</groupId><artifactId>joda-time</artifactId><version>2.12.5</version></dependency><dependency><groupId>org.apache.flink</groupId><artifactId>flink-avro</artifactId><version>${flink.version}</version></dependency><dependency><groupId>org.apache.flink</groupId><artifactId>flink-runtime-web</artifactId><version>${flink.version}</version></dependency><!-- https://mvnrepository.com/artifact/com.alibaba.fastjson2/fastjson2 --><dependency><groupId>com.alibaba.fastjson2</groupId><artifactId>fastjson2</artifactId><version>2.0.33</version></dependency><!-- https://mvnrepository.com/artifact/com.alibaba/fastjson --><dependency><groupId>com.alibaba</groupId><artifactId>fastjson</artifactId><version>1.2.83</version>
<!--            <version>1.2.17</version>--></dependency><dependency><groupId>junit</groupId><artifactId>junit</artifactId><version>3.8.1</version><scope>test</scope></dependency><!-- https://mvnrepository.com/artifact/org.apache.flink/flink-table-common --><dependency><groupId>org.apache.flink</groupId><artifactId>flink-table-common</artifactId><version>${flink.version}</version></dependency><!-- 引入flink1.13.0 scala2.12.12   --><dependency><groupId>org.apache.flink</groupId><artifactId>flink-connector-kafka</artifactId><version>${flink.version}</version><scope>provided</scope></dependency><dependency><groupId>org.apache.flink</groupId><artifactId>flink-json</artifactId><version>${flink.version}</version></dependency><dependency><groupId>org.apache.flink</groupId><artifactId>flink-scala_${scala.binary.version}</artifactId><version>${flink.version}</version><scope>provided</scope></dependency><dependency><groupId>org.apache.flink</groupId><artifactId>flink-streaming-scala_${scala.binary.version}</artifactId><version>${flink.version}</version></dependency><dependency><groupId>org.apache.flink</groupId><artifactId>flink-csv</artifactId><version>${flink.version}</version></dependency><!-- Either... --><dependency><groupId>org.apache.flink</groupId><artifactId>flink-table-api-java-bridge</artifactId><version>${flink.version}</version></dependency><!-- or... --><!--        下面几个是代码中写sql需要的包 四个中一个都不能少 --><dependency><groupId>org.apache.flink</groupId><artifactId>flink-table-api-scala-bridge_${scala.binary.version}</artifactId><version>${flink.version}</version></dependency><!-- https://mvnrepository.com/artifact/org.apache.flink/flink-table-planner-loader --><dependency><groupId>org.apache.flink</groupId><artifactId>flink-table-planner-loader</artifactId><version>${flink.version}</version>
<!--            <scope>test</scope>--></dependency><!-- https://mvnrepository.com/artifact/org.apache.flink/flink-table-runtime --><dependency><groupId>org.apache.flink</groupId><artifactId>flink-table-runtime</artifactId><version>${flink.version}</version><scope>provided</scope></dependency><!--  https://mvnrepository.com/artifact/org.apache.flink/flink-connector-files --><dependency><groupId>org.apache.flink</groupId><artifactId>flink-connector-files</artifactId><version>${flink.version}</version></dependency><!--        注意: flink-table-planner-loader 不能和 flink-table-planner_${scala.binary.version} 共存--><!--        <dependency>--><!--            <groupId>org.apache.flink</groupId>--><!--            <artifactId>flink-table-planner_${scala.binary.version}</artifactId>--><!--            <version>${flink.version}</version>--><!--            <scope>provided</scope>--><!--        </dependency>--><dependency><groupId>org.apache.flink</groupId><artifactId>flink-clients</artifactId><version>${flink.version}</version></dependency><dependency><groupId>org.apache.flink</groupId><artifactId>flink-connector-jdbc</artifactId><version>3.1.0-1.17</version><scope>provided</scope></dependency><dependency><groupId>mysql</groupId><artifactId>mysql-connector-java</artifactId><version>8.0.11</version></dependency></dependencies><build><plugins><!-- 打jar插件 --><plugin><groupId>org.apache.maven.plugins</groupId><artifactId>maven-shade-plugin</artifactId><version>2.4.3</version><executions><execution><phase>package</phase><goals><goal>shade</goal></goals><configuration><filters><filter><artifact>*:*</artifact><excludes><exclude>META-INF/*.SF</exclude><exclude>META-INF/*.DSA</exclude><exclude>META-INF/*.RSA</exclude></excludes></filter></filters></configuration></execution></executions></plugin><plugin><groupId>org.scala-tools</groupId><artifactId>maven-scala-plugin</artifactId><version>2.15.2</version><executions><execution><goals><goal>compile</goal><goal>testCompile</goal></goals></execution></executions></plugin><plugin><groupId>net.alchim31.maven</groupId><artifactId>scala-maven-plugin</artifactId><version>3.2.2</version><executions><execution><id>scala-compile-first</id><phase>process-resources</phase><goals><goal>add-source</goal><goal>compile</goal></goals></execution></executions><configuration><scalaVersion>${scala.version}</scalaVersion></configuration></plugin><plugin><groupId>org.apache.maven.plugins</groupId><artifactId>maven-assembly-plugin</artifactId><version>2.5.5</version><configuration><!--这部分可有可无,加上的话则直接生成可运行jar包--><!--<archive>--><!--<manifest>--><!--<mainClass>${exec.mainClass}</mainClass>--><!--</manifest>--><!--</archive>--><descriptorRefs><descriptorRef>jar-with-dependencies</descriptorRef></descriptorRefs></configuration></plugin><plugin><groupId>org.apache.maven.plugins</groupId><artifactId>maven-compiler-plugin</artifactId><version>3.1</version><configuration><source>11</source><target>11</target></configuration></plugin></plugins></build>
</project>