[SPARK-53679] Fix typos in Spark Kubernetes Operator documentation

### What changes were proposed in this pull request?

This PR fixes a few typos in the documentation:
- Fix grammar error in config property description ("to for" → "for")
- Correct property name consistency in configuration.md
- Fix spelling errors: registory→registry, secuirty→security, etc.
- Update cluster state diagram reference to use correct image
- Fix table header typo and various other spelling corrections

### Why are the changes needed?
To have better documentation.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
This PR changes only documentation, no test is needed.

### Was this patch authored or co-authored using generative AI tooling?
Yes, this PR was generated with `claude-sonnet-4` and was reviewed manually.

Closes apache#334 from peter-toth/fix-typos.

Authored-by: Peter Toth <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>

Author: peter-toth

docs/architecture.md

@@ -74,7 +74,7 @@ launching Spark deployments and submitting jobs under the hood. It also uses
 
 ## Cluster State Transition
 
-[![Cluster State Transition](resources/application_state_machine.png)](resources/application_state_machine.png)
+[![Cluster State Transition](resources/cluster_state_machine.png)](resources/cluster_state_machine.png)
 
 * Spark clusters are expected to be always running after submitted.
 * Similar to Spark applications, K8s resources created for a cluster would be deleted as the final

docs/config_properties.md

@@ -8,7 +8,7 @@
  | spark.kubernetes.operator.terminateOnInformerFailureEnabled | Boolean | false | false | Enable to indicate informer errors should stop operator startup. If disabled, operator startup will ignore recoverable errors, caused for example by RBAC issues and will retry periodically. | 
  | spark.kubernetes.operator.reconciler.terminationTimeoutSeconds | Integer | 30 | false | Grace period for operator shutdown before reconciliation threads are killed. | 
  | spark.kubernetes.operator.reconciler.parallelism | Integer | 50 | false | Thread pool size for Spark Operator reconcilers. Unbounded pool would be used if set to non-positive number. | 
- | spark.kubernetes.operator.reconciler.foregroundRequestTimeoutSeconds | Long | 30 | true | Timeout (in seconds) to for requests made to API server. This applies only to foreground requests. | 
+ | spark.kubernetes.operator.reconciler.foregroundRequestTimeoutSeconds | Long | 30 | true | Timeout (in seconds) for requests made to API server. This applies only to foreground requests. | 
  | spark.kubernetes.operator.reconciler.intervalSeconds | Long | 120 | true | Interval (in seconds, non-negative) to reconcile Spark applications. Note that reconciliation is always expected to be triggered when app spec / status is updated. This interval controls the reconcile behavior of operator reconciliation even when there's no update on SparkApplication, e.g. to determine whether a hanging app needs to be proactively terminated. Thus this is recommended to set to above 2 minutes to avoid unnecessary no-op reconciliation. | 
  | spark.kubernetes.operator.reconciler.trimStateTransitionHistoryEnabled | Boolean | true | true | When enabled, operator would trim state transition history when a new attempt starts, keeping previous attempt summary only. | 
  | spark.kubernetes.operator.reconciler.appStatusListenerClassNames | String |  | false | Comma-separated names of SparkAppStatusListener class implementations | 

docs/configuration.md

@@ -45,7 +45,7 @@ To enable hot properties loading, update the **helm chart values file** with
 ```yaml
 operatorConfiguration:
   spark-operator.properties: |+
-    spark.operator.dynamic.config.enabled=true
+    spark.kubernetes.operator.dynamicConfig.enabled=true
     # ... all other config overides...
   dynamicConfig:
     create: true

docs/operations.md

@@ -41,7 +41,7 @@ in `values.yaml`) for the Helm chart.
 To override single parameters you can use `--set`, for example:
 
 ```bash
-helm install --set image.repository=<my_registory>/spark-kubernetes-operator \
+helm install --set image.repository=<my_registry>/spark-kubernetes-operator \
    -f build-tools/helm/spark-kubernetes-operator/values.yaml \
   build-tools/helm/spark-kubernetes-operator/
 ```
@@ -80,7 +80,7 @@ following table:
 | operatorDeployment.operatorPod.operatorContainer.env             | Custom env to be added to the operator container.                                                                                                                              |                                                                                                         |
 | operatorDeployment.operatorPod.operatorContainer.envFrom         | Custom envFrom to be added to the operator container, e.g. for downward API.                                                                                                   |                                                                                                         |
 | operatorDeployment.operatorPod.operatorContainer.probes          | Probe config for the operator container.                                                                                                                                       |                                                                                                         |
-| operatorDeployment.operatorPod.operatorContainer.securityContext | Security context overrides for the operator container.                                                                                                                         | run as non root for baseline secuirty standard compliance                                               |
+| operatorDeployment.operatorPod.operatorContainer.securityContext | Security context overrides for the operator container.                                                                                                                         | run as non root for baseline security standard compliance                                               |
 | operatorDeployment.operatorPod.operatorContainer.resources       | Resources for the operator container.                                                                                                                                          | memory 2Gi, ephemeral storage 2Gi and 1 cpu                                                             |
 | operatorDeployment.additionalContainers                          | Additional containers to be added to the operator pod, e.g. sidecar.                                                                                                           |                                                                                                         |
 | operatorRbac.serviceAccount.create                               | Whether to create service account for operator to use.                                                                                                                         | true                                                                                                    |
@@ -125,7 +125,7 @@ following table:
 For more information check the [Helm documentation](https://helm.sh/docs/helm/helm_install/).
 
 __Notice__: The pod resources should be set as your workload in different environments to
-archive a matched K8s pod QoS. See
+achieve a matched K8s pod QoS. See
 also [Pod Quality of Service Classes](https://kubernetes.io/docs/concepts/workloads/pods/pod-qos/#quality-of-service-classes).
 
 ## Operator Health(Liveness) Probe with Sentinel Resource

docs/spark_custom_resources.md

@@ -225,9 +225,9 @@ sample restart config snippet:
 
 ``` yaml
 restartConfig:
-  # accptable values are 'Never', 'Always', 'OnFailure' and 'OnInfrastructureFailure'
+  # acceptable values are 'Never', 'Always', 'OnFailure' and 'OnInfrastructureFailure'
   restartPolicy: Never
-  # operator would retry the application if configured. All resources from current attepmt
+  # operator would retry the application if configured. All resources from current attempt
   # would be deleted before starting next attempt
   maxRestartAttempts: 3
   # backoff time (in millis) that operator would wait before next attempt
@@ -239,7 +239,7 @@ restartConfig:
 It's possible to configure applications to be proactively terminated and resubmitted in particular
 cases to avoid resource deadlock.
 
-| Field                                                                                   | Type    | Default Value | Descritpion                                                                                                        |
+| Field                                                                                   | Type    | Default Value | Description                                                                                                        |
 |-----------------------------------------------------------------------------------------|---------|---------------|--------------------------------------------------------------------------------------------------------------------|
 | .spec.applicationTolerations.applicationTimeoutConfig.driverStartTimeoutMillis          | integer | 300000        | Time to wait for driver reaches running state after requested driver.                                              |
 | .spec.applicationTolerations.applicationTimeoutConfig.executorStartTimeoutMillis        | integer | 300000        | Time to wait for driver to acquire minimal number of running executors.                                            |
@@ -270,7 +270,7 @@ sparkConf:
 Spark would try to bring up 10 executors as defined in SparkConf. In addition, from
 operator perspective,
 
-* If Spark app acquires less than 5 executors in given tine window (.spec.
+* If Spark app acquires less than 5 executors in given time window (.spec.
   applicationTolerations.applicationTimeoutConfig.executorStartTimeoutMillis) after
   submitted, it would be shut down proactively in order to avoid resource deadlock.
 * Spark app would be marked as 'RunningWithBelowThresholdExecutors' if it loses executors after

spark-operator/src/main/java/org/apache/spark/k8s/operator/config/SparkOperatorConf.java

@@ -120,7 +120,7 @@ public final class SparkOperatorConf {
           .key("spark.kubernetes.operator.reconciler.foregroundRequestTimeoutSeconds")
           .enableDynamicOverride(true)
           .description(
-              "Timeout (in seconds) to for requests made to API server. This "
+              "Timeout (in seconds) for requests made to API server. This "
                   + "applies only to foreground requests.")
           .typeParameterClass(Long.class)
           .defaultValue(30L)