使用Maven将自己的代码编译打包
打好的包一般放在工程目录的target子文件夹下
mvn clean package
flink任务运行命令
session模式运行
flink run --class com.zclh.data.wordcount.WordCountKafkaInStdOut /data/cdh/test/flink-kafka-1.0-SNAPSHOT.jar
指定用户运行任务，job模式
sudo -u hdfs
bin/flink run -m yarn-cluster -yjm 1024 -ytm 1024 --class com.zclh.data.wordcount.WordCountKafkaInStdOut /data/cdh/test/flink-kafka-1.0-SNAPSHOT.jar
job模式运行任务
bin/flink run -m yarn-cluster -yjm 1024 -ytm 1024 --class com.zclh.data.wordcount.WordCountKafkaInStdOut /data/cdh/test/flink-kafka-1.0.jar
bin/flink run -m yarn-cluster -yjm 1024 -ytm 1024 --class com.zclh.data.wordcount.WordCountKafkaInStdOut /data/cdh/test/flink-kafka-1.1.jar
bin/flink run -m yarn-cluster -yjm 1024 -ytm 1024 --class com.zclh.data.wordcount.WordCountKafkaInStdOut /data/cdh/test/flink-kafka-1.2.jar
bin/flink run -m yarn-cluster -yjm 1024 -ytm 1024 --class com.zclh.data.wordcount.WordCountKafkaInStdOut /data/cdh/test/flink-kafka-1.3.jar
bin/flink run -m yarn-cluster -yjm 1024 -ytm 1024 --class com.atguigu.hotitems_analysis.KafkaProducerUtil /data/cdh/test/HotItemsAnalysis-1.0.jar
bin/flink run -m yarn-cluster -yjm 1024 -ytm 1024 --class com.atguigu.hotitems_analysis.HotItems /data/cdh/test/HotItemsAnalysis-2.0.jar
bin/flink run -m yarn-cluster -yjm 1024 -ytm 1024 /data/cdh/test/HotItemsAnalysis-3.0.jar --class com.atguigu.hotitems_analysis.HotItems
bin/flink run --class com.atguigu.hotitems_analysis.HotItems /data/cdh/test/HotItemsAnalysis-3.0.jar
启动jar包中指定的类
java -cp /data/cdh/test/HotItemsAnalysis-4.0.jar com.atguigu.hotitems_analysis.KafkaProducerUtil
java -cp /data/cdh/test/HotItemsAnalysis-5.0.jar com.atguigu.hotitems_analysis.KafkaProducerUtil
bin/flink run --class com.atguigu.hotitems_analysis.HotItems /data/cdh/test/HotItemsAnalysis-4.0.jar
bin/flink run --class com.atguigu.hotitems_analysis.HotItems /data/cdh/test/HotItemsAnalysis-5.0.jar
bin/flink run -m yarn-cluster -yjm 1024 -ytm 1024 --class com.atguigu.hotitems_analysis.HotItems /data/cdh/test/HotItemsAnalysis-5.0.jar版权声明：本文内容由互联网用户自发贡献，该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请发送邮件至 [email protected] 举报，一经查实，本站将立刻删除。
