Flink學習筆記——Environment

Flink有以下幾種Environment

1. 批處理Environment，ExecutionEnvironment

ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

2.流處理Environment，StreamExecutionEnvironment

StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

3. 本機Environment，LocalEnvironment

ExecutionEnvironment env = LocalEnvironment.getExecutionEnvironment();

4. java集合Environment，CollectionEnvironment

ExecutionEnvironment env = CollectionEnvironment.getExecutionEnvironment();

Ref

https://www.yuque.com/cuteximi/base/flink-02?language=en-us

　　

創建Environment的方法

1. getExecutionEnvironment ，含義就是本地運行就是 createLocalEnvironment，如果是通過client提交到集羣上，就返回集羣的環境

 Creates an execution environment that represents the context in which the program is currently executed.
	 * If the program is invoked standalone, this method returns a local execution environment, as returned by
	 * {@link #createLocalEnvironment()}. If the program is invoked from within the command line client to be
	 * submitted to a cluster, this method returns the execution environment of this cluster.

Ref

https://github.com/apache/flink/blob/master/flink-java/src/main/java/org/apache/flink/api/java/ExecutionEnvironment.java

2. createLocalEnvironment ，返回本地執行環境，需要在調用時指定默認的並行度，比如

LocalStreamEnvironment env1 = StreamExecutionEnvironment.createLocalEnvironment(1);

LocalEnvironment env2 = ExecutionEnvironment.createLocalEnvironment(1);

3. createRemoteEnvironment， 返回集羣執行環境，將 Jar 提交到遠程服務器。需要在調用時指定 JobManager 的 IP 和端口號，並指定要在集羣中運行的 Jar 包，比如

StreamExecutionEnvironment env1 = StreamExecutionEnvironment.createRemoteEnvironment("127.0.0.1", 8080, "/path/word_count.jar");

ExecutionEnvironment env2 = ExecutionEnvironment.createRemoteEnvironment("127.0.0.1", 8080, "/path/word_count.jar");