一、設定ExecutionEnvironment：批量數據處理環境的三種方式
（1）設定Flink運行環境，如果在本地啓動則創建本地執行環境，如果在集羣啓動則創建集羣執行環境
val env1: ExecutionEnvironment = ExecutionEnvironment.getExecutionEnvironment
（2）指定並行度並創建本地執行環境
val env2: ExecutionEnvironment = ExecutionEnvironment.createLocalEnvironment(5)
（3）指定遠程JobmanagerIP、RPC端口、並行度、jar包及其依賴包
val env3: ExecutionEnvironment = ExecutionEnvironment.createRemoteEnvironment(“JobmanagerHost”,6021,5,"/user/application.jar")
二、StreamExecutionEnvironment：流式數據處理環境
（1）設定Flink運行環境，如果在本地啓動則創建本地執行環境，如果在集羣啓動則創建集羣執行環境
val environment1: StreamExecutionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment
（2）指定並行度並創建本地執行環境
val environment2: StreamExecutionEnvironment = StreamExecutionEnvironment.createLocalEnvironment(5)
（3）指定遠程JobmanagerIP、RPC端口、並行度、jar包及其依賴包
val environment3: StreamExecutionEnvironment = StreamExecutionEnvironment.createRemoteEnvironment(“JobmanagerHost”,6021,5,"/user/application.jar")