Rename the function name of removedCount to calculateNumberToRemove.

core/src/main/scala/org/apache/spark/ui/jobs/JobProgressListener.scala

@@ -142,7 +142,7 @@ class JobProgressListener(conf: SparkConf) extends SparkListener with Logging {
   /** If stages is too large, remove and garbage collect old stages */
   private def trimStagesIfNecessary(stages: ListBuffer[StageInfo]) = synchronized {
     if (stages.size > retainedStages) {
-      val toRemove = removedCount(stages.size, retainedStages)
+      val toRemove = calculateNumberToRemove(stages.size, retainedStages)
       stages.take(toRemove).foreach { s =>
         stageIdToData.remove((s.stageId, s.attemptId))
         stageIdToInfo.remove(s.stageId)
@@ -154,7 +154,7 @@ class JobProgressListener(conf: SparkConf) extends SparkListener with Logging {
   /** If jobs is too large, remove and garbage collect old jobs */
   private def trimJobsIfNecessary(jobs: ListBuffer[JobUIData]) = synchronized {
     if (jobs.size > retainedJobs) {
-      val toRemove = removedCount(jobs.size, retainedJobs)
+      val toRemove = calculateNumberToRemove(jobs.size, retainedJobs)
       jobs.take(toRemove).foreach { job =>
         // Remove the job's UI data, if it exists
         jobIdToData.remove(job.jobId).foreach { removedJob =>
@@ -410,7 +410,7 @@ class JobProgressListener(conf: SparkConf) extends SparkListener with Logging {
       // If Tasks is too large, remove and garbage collect old tasks
       if (stageData.taskData.size > retainedTasks) {
         stageData.taskData = stageData.taskData.drop(
-          removedCount(stageData.taskData.size, retainedTasks))
+          calculateNumberToRemove(stageData.taskData.size, retainedTasks))
       }
 
       for (
@@ -434,7 +434,7 @@ class JobProgressListener(conf: SparkConf) extends SparkListener with Logging {
   /**
    * Remove at least (maxRetained / 10) items to reduce friction.
    */
-  def removedCount(dataSize: Int, retainedSize: Int): Int = {
+  private def calculateNumberToRemove(dataSize: Int, retainedSize: Int): Int = {
     math.max(retainedSize / 10, dataSize - retainedSize)
   }
 

docs/configuration.md

@@ -671,23 +671,23 @@ Apart from these, the following properties are also available, and may be useful
   <td>1000</td>
   <td>
     How many jobs the Spark UI and status APIs remember before garbage collecting. 
-    This is a target maximum and that fewer elements may be retained in some circumstances.
+    This is a target maximum, and fewer elements may be retained in some circumstances.
   </td>
 </tr>
 <tr>
   <td><code>spark.ui.retainedStages</code></td>
   <td>1000</td>
   <td>
     How many stages the Spark UI and status APIs remember before garbage collecting. 
-    This is a target maximum and that fewer elements may be retained in some circumstances.
+    This is a target maximum, and fewer elements may be retained in some circumstances.
   </td>
 </tr>
 <tr>
   <td><code>spark.ui.retainedTasks</code></td>
   <td>100000</td>
   <td>
     How many tasks the Spark UI and status APIs remember before garbage collecting. 
-    This is a target maximum and that fewer elements may be retained in some circumstances.
+    This is a target maximum, and fewer elements may be retained in some circumstances.
   </td>
 </tr>
 <tr>