Updating the config documentation for filecache configs [skip ci]

docs/additional-functionality/advanced_configs.md

@@ -33,6 +33,7 @@ Name | Description | Default Value | Applicable at
 <a name="filecache.blockPathRegexp"></a>spark.rapids.filecache.blockPathRegexp|A regular expression to decide which paths will not be cached when the file cache is enabled. If a path is blocked by this regexp but is allowed by spark.rapids.filecache.allowPathRegexp, then the path is blocked.|None|Startup
 <a name="filecache.checkStale"></a>spark.rapids.filecache.checkStale|Controls whether the cached is checked for being out of date with respect to the input file. When enabled, the data that has been cached locally for a file will be invalidated if the file is updated after being cached. This feature is only necessary if an input file for a Spark application can be changed during the lifetime of the application. If an individual input file will not be overwritten during the Spark application then performance may be improved by setting this to false.|true|Startup
 <a name="filecache.maxBytes"></a>spark.rapids.filecache.maxBytes|Controls the maximum amount of data that will be cached locally. If left unspecified, it will use half of the available disk space detected on startup for the configured Spark local disks.|None|Startup
+<a name="filecache.useChecksums"></a>spark.rapids.filecache.useChecksums|Whether to write out and verify checksums for the cached local files.|false|Startup
 <a name="gpu.resourceName"></a>spark.rapids.gpu.resourceName|The name of the Spark resource that represents a GPU that you want the plugin to use if using custom resources with Spark.|gpu|Startup
 <a name="memory.gpu.allocFraction"></a>spark.rapids.memory.gpu.allocFraction|The fraction of available (free) GPU memory that should be allocated for pooled memory. This must be less than or equal to the maximum limit configured via spark.rapids.memory.gpu.maxAllocFraction, and greater than or equal to the minimum limit configured via spark.rapids.memory.gpu.minAllocFraction.|1.0|Startup
 <a name="memory.gpu.debug"></a>spark.rapids.memory.gpu.debug|Provides a log of GPU memory allocations and frees. If set to STDOUT or STDERR the logging will go there. Setting it to NONE disables logging. All other values are reserved for possible future expansion and in the mean time will disable logging.|NONE|Startup