flink的savepoint实验-scala

大致步骤同[1]

步骤	步骤内容
①	启动Zookeeper,Hadoop,Flink(HA)三种集群(启动顺序不要错)
②	mvn clean scala:compile compile package cd target flink run -c WordCount /home/appleyuchi/桌面/Flink_Code/flink_state/savepoint/Scala/target/datastream_api-1.0-SNAPSHOT.jar Job has been submitted with JobID 657e2ab956cc57c2e01cc618b8bf3b03
③	flink savepoint 657e2ab956cc57c2e01cc618b8bf3b03 Triggering savepoint for job 657e2ab956cc57c2e01cc618b8bf3b03. Waiting for response... Savepoint completed. Path: hdfs://Desktop:9000/flink-savepoints/savepoint-657e2a-be30c75ec137
④	flink cancel 657e2ab956cc57c2e01cc618b8bf3b03 Cancelling job 657e2ab956cc57c2e01cc618b8bf3b03. Cancelled job 657e2ab956cc57c2e01cc618b8bf3b03.
⑤	flink run -s hdfs://Desktop:9000/flink-savepoints/savepoint-657e2a-be30c75ec137 -c WordCount -d /home/appleyuchi/桌面/Flink_Code/flink_state/savepoint/Scala/target/datastream_api-1.0-SNAPSHOT.jar

具体实验效果可以参考[1]

完整代码

Reference:

[1]flink的savepoint实验-java