[MINOR][DOCS] Fix a typo for a configuration property of resources allocation

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

This PR fixes a typo for a configuration property in the `spark-standalone.md`.
`spark.driver.resourcesfile` should be `spark.driver.resourcesFile`.
I look for similar typo but this is the only typo.

### Why are the changes needed?

The property name is wrong.

### Does this PR introduce _any_ user-facing change?

Yes. The property name is corrected.

### How was this patch tested?

I confirmed the spell of the property name is the correct from the property name defined in o.a.s.internal.config.package.scala.

Closes #28958 from sarutak/fix-resource-typo.

Authored-by: Kousuke Saruta <sarutak@oss.nttdata.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
This commit is contained in:
Kousuke Saruta 2020-06-30 09:28:54 -07:00 committed by Dongjoon Hyun
parent 165c948e32
commit 5176707ac3

View file

@ -359,7 +359,7 @@ Spark Standalone has 2 parts, the first is configuring the resources for the Wor
The user must configure the Workers to have a set of resources available so that it can assign them out to Executors. The <code>spark.worker.resource.{resourceName}.amount</code> is used to control the amount of each resource the worker has allocated. The user must also specify either <code>spark.worker.resourcesFile</code> or <code>spark.worker.resource.{resourceName}.discoveryScript</code> to specify how the Worker discovers the resources its assigned. See the descriptions above for each of those to see which method works best for your setup.
The second part is running an application on Spark Standalone. The only special case from the standard Spark resource configs is when you are running the Driver in client mode. For a Driver in client mode, the user can specify the resources it uses via <code>spark.driver.resourcesfile</code> or <code>spark.driver.resource.{resourceName}.discoveryScript</code>. If the Driver is running on the same host as other Drivers, please make sure the resources file or discovery script only returns resources that do not conflict with other Drivers running on the same node.
The second part is running an application on Spark Standalone. The only special case from the standard Spark resource configs is when you are running the Driver in client mode. For a Driver in client mode, the user can specify the resources it uses via <code>spark.driver.resourcesFile</code> or <code>spark.driver.resource.{resourceName}.discoveryScript</code>. If the Driver is running on the same host as other Drivers, please make sure the resources file or discovery script only returns resources that do not conflict with other Drivers running on the same node.
Note, the user does not need to specify a discovery script when submitting an application as the Worker will start each Executor with the resources it allocates to it.