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

建立Environment的方法

1. getExecutionEnvironment ，含義就是本地執行就是createLocalEnvironment，如果是通過client提交到叢集上，就返回叢集的環境

 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，需要在呼叫時指定預設的並行度，比如

LocalStreamEnvironment env1 = StreamExecutionEnvironment.createLocalEnvironment(1);

LocalEnvironment env2 = ExecutionEnvironment.createLocalEnvironment(1);

3.createRemoteEnvironment，返回叢集執行環境，將 Jar 提交到遠端伺服器。需要在呼叫時指定 JobManager 的 IP 和埠號，並指定要在叢集中執行的 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");