RussellSpitzer commented on code in PR #17868:
URL: https://github.com/apache/iceberg/pull/17868#discussion_r3883938760


##########
docs/docs/spark-procedures.md:
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@@ -415,6 +415,7 @@ Iceberg can compact data files in parallel using Spark with 
the `rewriteDataFile
 | `output-spec-id` | current partition spec id | Identifier of the output 
partition spec. Data will be reorganized during the rewrite to align with the 
output partitioning. |
 | `remove-dangling-deletes` | false | Remove dangling position and equality 
deletes after rewriting. A delete file is considered dangling if it does not 
apply to any live data files. Enabling this will generate an additional commit 
for the removal. |
 | `max-files-to-rewrite` | null | This option sets an upper limit on the 
number of eligible files that will be rewritten. If this option is not 
specified, all eligible files will be rewritten. |
+| `executor-cache.delete-files.enabled` | false | Use the executor cache for 
delete files while rewriting. Enable this when the same delete file applies to 
many data files, which is common with equality deletes |

Review Comment:
   let's try to keep this to one snake case thing.
   cache-delete-files?



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