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Posted to commits@spark.apache.org by do...@apache.org on 2023/02/22 22:14:46 UTC
[spark] branch branch-3.4 updated: [SPARK-42150][K8S][DOCS][FOLLOWUP] Use v1.7.0 in docs
This is an automated email from the ASF dual-hosted git repository.
dongjoon pushed a commit to branch branch-3.4
in repository https://gitbox.apache.org/repos/asf/spark.git
The following commit(s) were added to refs/heads/branch-3.4 by this push:
new 6b5885b27db [SPARK-42150][K8S][DOCS][FOLLOWUP] Use v1.7.0 in docs
6b5885b27db is described below
commit 6b5885b27db60463b4de88b6f3259bb616b7e36b
Author: Dongjoon Hyun <do...@apache.org>
AuthorDate: Wed Feb 22 14:14:22 2023 -0800
[SPARK-42150][K8S][DOCS][FOLLOWUP] Use v1.7.0 in docs
### What changes were proposed in this pull request?
This is a follow-up of #39690.
### Why are the changes needed?
To be consistent across multiple docs.
### Does this PR introduce _any_ user-facing change?
No, this is a doc-only change.
### How was this patch tested?
Manual review.
Closes #40131 from dongjoon-hyun/SPARK-42150-2.
Authored-by: Dongjoon Hyun <do...@apache.org>
Signed-off-by: Dongjoon Hyun <do...@apache.org>
(cherry picked from commit 70e69892b55d09064c760b92ba941289f9def005)
Signed-off-by: Dongjoon Hyun <do...@apache.org>
---
docs/running-on-kubernetes.md | 8 ++------
resource-managers/kubernetes/integration-tests/README.md | 2 +-
2 files changed, 3 insertions(+), 7 deletions(-)
diff --git a/docs/running-on-kubernetes.md b/docs/running-on-kubernetes.md
index 9174697ca97..4f2647d3e06 100644
--- a/docs/running-on-kubernetes.md
+++ b/docs/running-on-kubernetes.md
@@ -1848,14 +1848,10 @@ Spark allows users to specify a custom Kubernetes schedulers.
**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 v1.5.1. Below is an example to install Volcano 1.5.1:
+* 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:
```bash
- # x86_64
- kubectl apply -f https://raw.githubusercontent.com/volcano-sh/volcano/v1.5.1/installer/volcano-development.yaml
-
- # arm64:
- kubectl apply -f https://raw.githubusercontent.com/volcano-sh/volcano/v1.5.1/installer/volcano-development-arm64.yaml
+ kubectl apply -f https://raw.githubusercontent.com/volcano-sh/volcano/v1.7.0/installer/volcano-development.yaml
```
##### Build
diff --git a/resource-managers/kubernetes/integration-tests/README.md b/resource-managers/kubernetes/integration-tests/README.md
index c3bce2415e4..0a03be42b4b 100644
--- a/resource-managers/kubernetes/integration-tests/README.md
+++ b/resource-managers/kubernetes/integration-tests/README.md
@@ -335,7 +335,7 @@ Volcano integration is experimental in Aapche Spark 3.3.0 and the test coverage
## Requirements
- A minimum of 6 CPUs and 9G of memory is required to complete all Volcano test cases.
-- Volcano v1.5.1.
+- Volcano v1.7.0.
## Installation
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