WebMar 13, 2024 · 很高兴为您提供答案。以下是您所需的Scala代码,用于从Kafka读取数据并打印出来: ```scala import org.apache.flink.streaming.api.scala._ import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer val env = StreamExecutionEnvironment.getExecutionEnvironment val props = new Properties() … WebDec 20, 2024 · 通过Flink、scala、addSource和readCsvFile读取csv文件. 本文是小编为大家收集整理的关于 通过Flink、scala、addSource和readCsvFile读取csv文件 的处理/解决方法,可以参考本文帮助大家快速定位并解决问题,中文翻译不准确的可切换到 English 标签页查 …
使用Flink消费kafka中的数据,统计实时营业额存入redis中_scala的flink …
WebApr 10, 2024 · Flink如何分配内存. MemoryManager 负责将 MemorySegments 分配、计算和分发给数据处理操作符,例如 sort 和 join 等操作符。. MemorySegment 是 Flink 的内存分配单元,默认大小为 32 KB,支持堆内和堆外内存分配。. MemorySegments 在 TaskManager 启动时分配一次,并在 TaskManager 关闭时 ... WebJul 12, 2024 · org.apache.pulsar pulsar-flink 2.4.0 Exception in thread "main" org.apache.flink.api.common.InvalidProgramException: The implementation of the RichSinkFunction is not serializable. The object probably contains or … how fast to give kcentra
Flink pulsar sink NotSerializableException #4721 - Github
WebFeb 18, 2024 · This release includes 99 bug and vulnerability fixes and minor improvements for Flink 1.13 including another upgrade of Apache Log4j (to 2.17.1). Below you will find a list of all bugfixes and improvements (excluding improvements to the build infrastructure and build stability). For a complete list of all changes see: JIRA. WebMay 10, 2024 · Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. As reported in the documentation, data can be processed as unbounded or … Webimport org.apache.flink.annotation.Public; import org.apache.flink.api.common.functions.AbstractRichFunction; /** A {@link org.apache.flink.api.common.functions.RichFunction} version of {@link SinkFunction}. */ @Public public abstract class RichSinkFunction extends AbstractRichFunction … higher education deferred maintenance