From bd5c9a04e926e15c8c655c9c551e7aa8ad9157d1 Mon Sep 17 00:00:00 2001
From: Yikun Jiang <yikunkero@gmail.com>
Date: Tue, 29 Mar 2022 17:33:53 +0800
Subject: [PATCH 1/2] address comments

---
 docs/running-on-kubernetes.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/running-on-kubernetes.md b/docs/running-on-kubernetes.md
index b7adb099bed1..a262f985c367 100644
--- a/docs/running-on-kubernetes.md
+++ b/docs/running-on-kubernetes.md
@@ -1717,14 +1717,14 @@ spec:
 
 Spark allows users to specify a custom Kubernetes schedulers.
 
-1. Specify scheduler name.
+1. Specify a scheduler name.
 
-   Users can specify a custom scheduler using <code>spark.kubernetes.scheduler.name</code> or
+   Users can specify custom scheduler using <code>spark.kubernetes.scheduler.name</code> or
    <code>spark.kubernetes.{driver/executor}.scheduler.name</code> configuration.
 
 2. Specify scheduler related configurations.
 
-   To configure the custom scheduler the user can use [Pod templates](#pod-template), add labels (<code>spark.kubernetes.{driver,executor}.label.*</code>)  and/or annotations (<code>spark.kubernetes.{driver/executor}.annotation.*</code>).
+   To configure the custom scheduler the user can use [Pod templates](#pod-template), add labels (<code>spark.kubernetes.{driver,executor}.label.*</code>), annotations (<code>spark.kubernetes.{driver/executor}.annotation.*</code>) or scheduler specific configurations (such as <code>spark.kubernetes.scheduler.volcano.podGroupTemplateFile</code>).
 
 3. Specify scheduler feature step.
 

From 26425eb689ef39c25b42c87368f585e6f1fdd44d Mon Sep 17 00:00:00 2001
From: Yikun Jiang <yikunkero@gmail.com>
Date: Sat, 2 Apr 2022 10:04:39 +0800
Subject: [PATCH 2/2] recover a

---
 docs/running-on-kubernetes.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/running-on-kubernetes.md b/docs/running-on-kubernetes.md
index a262f985c367..7cd4ef569303 100644
--- a/docs/running-on-kubernetes.md
+++ b/docs/running-on-kubernetes.md
@@ -1719,7 +1719,7 @@ Spark allows users to specify a custom Kubernetes schedulers.
 
 1. Specify a scheduler name.
 
-   Users can specify custom scheduler using <code>spark.kubernetes.scheduler.name</code> or
+   Users can specify a custom scheduler using <code>spark.kubernetes.scheduler.name</code> or
    <code>spark.kubernetes.{driver/executor}.scheduler.name</code> configuration.
 
 2. Specify scheduler related configurations.