spark 部署模式和启动进程

Cluster Mode Overview (集群模式概述)

Spark applications run as independent sets of processes on a cluster, coordinated by the SparkContext object in your main program (called the driver program).

Spark 应用在集群上作为独立的进程组来运行，在您的 main 程序中通过 SparkContext 来协调（称之为 driver 程序）。

Specifically, to run on a cluster, the SparkContext can connect to several types of cluster managers (either Spark’s own standalone cluster manager, Mesos or YARN), which allocate resources across applications. Once connected, Spark acquires executors on nodes in the cluster, which are processes that run computations and store data for your application. Next, it sends your application code (defined by JAR or Python files passed to SparkContext) to the executors. Final