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Kubernetes Operator for Apache Spark Design
Introduction
In Spark 2.3, Kubernetes becomes an official scheduler backend for Spark, additionally to the standalone scheduler, Mesos, and Yarn. Compared with the alternative approach of deploying a standalone Spark cluster on top of Kubernetes and submit applications to run on the standalone cluster, having Kubernetes as a native scheduler backend offers some important benefits as discussed in SPARK-18278 and is a huge leap(飞跃) forward. However, the way life cycle of Spark applications are managed, e.g., how applications get submitted to run on Kubernetes and how application status is tracked, are vastly different （巨大不同）from that of other
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