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new 4ff40c1 [SPARK-38561][K8S][DOCS] Add doc for `Customized Kubernetes
Schedulers`
4ff40c1 is described below
commit 4ff40c10f02f6e0735ce6554f7338489d8555bce
Author: Yikun Jiang <yikunk...@gmail.com>
AuthorDate: Wed Mar 16 11:12:54 2022 -0700
[SPARK-38561][K8S][DOCS] Add doc for `Customized Kubernetes Schedulers`
### What changes were proposed in this pull request?
This is PR to doc for basic framework capability for Customized Kubernetes
Schedulers.
### Why are the changes needed?
Guide user how to use spark on kubernetes custom scheduler
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
CI passed
Closes #35869 from Yikun/SPARK-38561.
Authored-by: Yikun Jiang <yikunk...@gmail.com>
Signed-off-by: Holden Karau <hka...@netflix.com>
---
docs/running-on-kubernetes.md | 19 +++++++++++++++++++
1 file changed, 19 insertions(+)
diff --git a/docs/running-on-kubernetes.md b/docs/running-on-kubernetes.md
index de37e22..d1b2fcd 100644
--- a/docs/running-on-kubernetes.md
+++ b/docs/running-on-kubernetes.md
@@ -1713,6 +1713,25 @@ spec:
image: will-be-overwritten
```
+#### Customized Kubernetes Schedulers for Spark on Kubernetes
+
+Spark allows users to specify a custom Kubernetes schedulers.
+
+1. Specify scheduler name.
+
+ 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.
+
+ 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>).
+
+3. Specify scheduler feature step.
+
+ Users may also consider to use
<code>spark.kubernetes.{driver/executor}.pod.featureSteps</code> to support
more complex requirements, including but not limited to:
+ - Create additional Kubernetes custom resources for driver/executor
scheduling.
+ - Set scheduler hints according to configuration or existing Pod info
dynamically.
+
### Stage Level Scheduling Overview
Stage level scheduling is supported on Kubernetes when dynamic allocation is
enabled. This also requires
<code>spark.dynamicAllocation.shuffleTracking.enabled</code> to be enabled
since Kubernetes doesn't support an external shuffle service at this time. The
order in which containers for different profiles is requested from Kubernetes
is not guaranteed. Note that since dynamic allocation on Kubernetes requires
the shuffle tracking feature, this means that executors from previous stages t
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