flink1.13安装配置

• 1 下载解压
• 2 配置hadoop_classpath
• 3 添加依赖 common-cli、hadoop…
• 4 启动、测试

flink on yarn三种部署模式启动命令

per job

# flink旧版本
./bin/flink run -m yarn-cluster -yjm 1024 -ytm 1024 -yqu root.up ./examples/streaming/TopSpeedWindowing.jar

./examples/batch/WordCount.jar  \
-input hdfs://mycluster/tmp/input/ \
-output hdfs://mycluster/tmp/output2

# flink1.13
./bin/flink run -t yarn-per-job -d \
-Djobmanager.memory.process.size=1024m \
-Dtaskmanager.memory.process.size=1024m \
-Dtaskmanager.numberOfTaskSlots=1 \
-Dparallelism.default=1 \
-Dyarn.application.name="MyFlinkApp" \
-Dyarn.application.queue=myQueue  ./examples/streaming/TopSpeedWindowing.jar

session

# 启动
./bin/yarn-session.sh --detached -Dyarn.application.queue root.xxx

# 执行任务
./bin/flink run -t yarn-session \
  -Dyarn.application.id=application_XXXX_YY \
  ./examples/streaming/TopSpeedWindowing.jar
 
 # close
 echo "stop" | ./bin/yarn-session.sh -id application_1632098537301_0003

application-mode

bin/flink run-application -t yarn-application \
-Djobmanager.memory.process.size=1024m \
-Dtaskmanager.memory.process.size=1024m \
-Dtaskmanager.numberOfTaskSlots=1 \
-Dparallelism.default=1 \
-Dyarn.application.name="MyFlinkApp" \
-Dyarn.application.queue=myQueue ./examples/streaming/TopSpeedWindowing.jar