From c8834ad43d5e846d382bdb536239f987c4fe1a3e Mon Sep 17 00:00:00 2001 From: Dongjoon Hyun Date: Thu, 23 Feb 2023 17:29:30 -0800 Subject: [PATCH] [SPARK-42545][K8S][DOCS] Remove `experimental` from `Volcano` docs --- docs/running-on-kubernetes.md | 2 -- resource-managers/kubernetes/integration-tests/README.md | 2 -- 2 files changed, 4 deletions(-) diff --git a/docs/running-on-kubernetes.md b/docs/running-on-kubernetes.md index 56129d38d156d..e580beb8ad6ed 100644 --- a/docs/running-on-kubernetes.md +++ b/docs/running-on-kubernetes.md @@ -1845,8 +1845,6 @@ Spark allows users to specify a custom Kubernetes schedulers. #### Using Volcano as Customized Scheduler for Spark on Kubernetes -**This feature is currently experimental. In future versions, there may be behavioral changes around configuration, feature step improvement.** - ##### Prerequisites * Spark on Kubernetes with [Volcano](https://volcano.sh/en) as a custom scheduler is supported since Spark v3.3.0 and Volcano v1.7.0. Below is an example to install Volcano 1.7.0: diff --git a/resource-managers/kubernetes/integration-tests/README.md b/resource-managers/kubernetes/integration-tests/README.md index 0a03be42b4b83..b85e57db768a0 100644 --- a/resource-managers/kubernetes/integration-tests/README.md +++ b/resource-managers/kubernetes/integration-tests/README.md @@ -331,8 +331,6 @@ You can also specify your specific dockerfile to build JVM/Python/R based image # Running the Volcano Integration Tests -Volcano integration is experimental in Aapche Spark 3.3.0 and the test coverage is limited. - ## Requirements - A minimum of 6 CPUs and 9G of memory is required to complete all Volcano test cases. - Volcano v1.7.0.