MAPREDUCE-7403. EOLs

Change-Id: I423f052ca48915502f182cb4f1c67cdf04838a99

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/site/markdown/manifest_committer.md

@@ -317,7 +317,7 @@ None of the S3A committers support this. Condition (1) is not met by
 the staging committers, while (2) is not met by S3 itself.
 
 To use the manifest committer with dynamic partition overwrites, the
-spark version must contain 
+spark version must contain
 [SPARK-40034](https://issues.apache.org/jira/browse/SPARK-40034)
 _PathOutputCommitters to work with dynamic partition overwrite_.
 
@@ -339,8 +339,6 @@ for SQL queries/Spark DataSet operations where many thousands of files are creat
 The fact that these will suffer from performance problems before
 throttling scale issues surface, should be considered a warning.
 
-
-
 # <a name="SUCCESS"></a> Job Summaries in `_SUCCESS` files
 
 The original hadoop committer creates a zero byte `_SUCCESS` file in the root of the output directory
@@ -673,7 +671,7 @@ For this to work, a number of conditions must be met:
 * All jobs/tasks must create files with unique filenames.
 * All jobs must create output with the same directory partition structure.
 * The job/queries MUST NOT be using Spark Dynamic Partitioning "INSERT OVERWRITE TABLE"; data may be lost.
-  This holds for *all* committers, not just the manifest committer.  
+  This holds for *all* committers, not just the manifest committer.
 * Remember to delete the `_temporary` directory later!
 
 This has *NOT BEEN TESTED*