Github user andrewor14 commented on a diff in the pull request:

    https://github.com/apache/spark/pull/42#discussion_r10455635
  
    --- Diff: core/src/main/scala/org/apache/spark/ui/UISparkListener.scala ---
    @@ -0,0 +1,123 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.spark.ui
    +
    +import scala.collection.mutable
    +
    +import org.apache.spark.scheduler._
    +import org.apache.spark.storage._
    +
    +private[ui] trait UISparkListener extends SparkListener
    +
    +/**
    + * A SparkListener that maintains executor storage status
    + */
    +private[ui] class StorageStatusSparkListener extends UISparkListener {
    --- End diff --
    
    I believe the UI is the only usage of a SparkListener that builds storage 
status from events. If the SparkContext is alive, then you can just ask the 
driver for this information. So I think it should live in the UI.
    
    As for whether to extend this class... I need to give more thought to it. 
One reason why it's not a good idea is because we end up maintaining two 
separate storage status lists with exactly the same information (because both 
ExecutorsUI and BlockManagerUI use this). The alternative is to keep it in 
SparkUI.


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