Thanks for this impressive proposal, I have a basic question, how does spark-submit work with this operator? Or it enforces that we must use `kubectl apply -f spark-job.yaml`(or K8s client in programming way) to submit Spark app?
Thanks, Cheng Pan > On Nov 10, 2023, at 04:05, Zhou Jiang <zhou.c.ji...@gmail.com> wrote: > > Hi Spark community, > I'm reaching out to initiate a conversation about the possibility of > developing a Java-based Kubernetes operator for Apache Spark. Following the > operator pattern > (https://kubernetes.io/docs/concepts/extend-kubernetes/operator/), Spark > users may manage applications and related components seamlessly using native > tools like kubectl. The primary goal is to simplify the Spark user experience > on Kubernetes, minimizing the learning curve and operational complexities and > therefore enable users to focus on the Spark application development. > Although there are several open-source Spark on Kubernetes operators > available, none of them are officially integrated into the Apache Spark > project. As a result, these operators may lack active support and development > for new features. Within this proposal, our aim is to introduce a Java-based > Spark operator as an integral component of the Apache Spark project. This > solution has been employed internally at Apple for multiple years, operating > millions of executors in real production environments. The use of Java in > this solution is intended to accommodate a wider user and contributor > audience, especially those who are familiar with Scala. > Ideally, this operator should have its dedicated repository, similar to Spark > Connect Golang or Spark Docker, allowing it to maintain a loose connection > with the Spark release cycle. This model is also followed by the Apache Flink > Kubernetes operator. > We believe that this project holds the potential to evolve into a thriving > community project over the long run. A comparison can be drawn with the Flink > Kubernetes Operator: Apple has open-sourced internal Flink Kubernetes > operator, making it a part of the Apache Flink project > (https://github.com/apache/flink-kubernetes-operator). This move has gained > wide industry adoption and contributions from the community. In a mere year, > the Flink operator has garnered more than 600 stars and has attracted > contributions from over 80 contributors. This showcases the level of > community interest and collaborative momentum that can be achieved in similar > scenarios. > More details can be found at SPIP doc : Spark Kubernetes Operator > https://docs.google.com/document/d/1f5mm9VpSKeWC72Y9IiKN2jbBn32rHxjWKUfLRaGEcLE > Thanks,-- > Zhou JIANG > --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
