[GitHub] [spark] jiangxb1987 commented on a change in pull request #26047: [SPARK-27492][DOC][FOLLOWUP] Update resource scheduling user docs

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jiangxb1987 commented on a change in pull request #26047: [SPARK-27492][DOC][FOLLOWUP] Update resource scheduling user docs
URL: https://github.com/apache/spark/pull/26047#discussion_r332224494
 
 

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 File path: docs/configuration.md
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 @@ -2639,7 +2639,7 @@ Also, you can modify or add configurations at runtime:
 GPUs and other accelerators have been widely used for accelerating special workloads, e.g.,
 deep learning and signal processing. Spark now supports requesting and scheduling generic resources, such as GPUs, with a few caveats. The current implementation requires that the resource have addresses that can be allocated by the scheduler. It requires your cluster manager to support and be properly configured with the resources.
 
-There are configurations available to request resources for the driver: <code>spark.driver.resource.{resourceName}.amount</code>, request resources for the executor(s): <code>spark.executor.resource.{resourceName}.amount</code> and specify the requirements for each task: <code>spark.task.resource.{resourceName}.amount</code>. The <code>spark.driver.resource.{resourceName}.discoveryScript</code> config is required on YARN, Kubernetes and a client side Driver on Spark Standalone. <code>spark.driver.executor.{resourceName}.discoveryScript</code> config is required for YARN and Kubernetes. Kubernetes also requires <code>spark.driver.resource.{resourceName}.vendor</code> and/or <code>spark.executor.resource.{resourceName}.vendor</code>. See the config descriptions above for more information on each.
+There are configurations available to request resources for the driver: <code>spark.driver.resource.{resourceName}.amount</code>, request resources for the executor(s): <code>spark.executor.resource.{resourceName}.amount</code> and specify the requirements for each task: <code>spark.task.resource.{resourceName}.amount</code>. The <code>spark.driver.resource.{resourceName}.discoveryScript</code> config is required on YARN, Kubernetes and a client side Driver on Spark Standalone. <code>spark.executor.resource.{resourceName}.discoveryScript</code> config is required for YARN and Kubernetes. Kubernetes also requires <code>spark.driver.resource.{resourceName}.vendor</code> and/or <code>spark.executor.resource.{resourceName}.vendor</code>. See the config descriptions above for more information on each.
 
 Review comment:
   `spark.driver.executor.{resourceName}.discoveryScript` -> `spark.executor.resource.{resourceName}.discoveryScript`

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