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

    https://github.com/apache/spark/pull/14079#discussion_r72487636
  
    --- Diff: 
core/src/main/scala/org/apache/spark/scheduler/BlacklistTracker.scala ---
    @@ -0,0 +1,214 @@
    +/*
    + * 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.scheduler
    +
    +import java.util.concurrent.atomic.AtomicReference
    +
    +import scala.collection.mutable.{HashMap, HashSet}
    +
    +import org.apache.spark.SparkConf
    +import org.apache.spark.internal.Logging
    +import org.apache.spark.internal.config
    +import org.apache.spark.util.{Clock, SystemClock, Utils}
    +
    +/**
    + * BlacklistTracker is designed to track problematic executors and nodes.  
It supports blacklisting
    + * specific (executor, task) pairs within a stage, blacklisting entire 
executors and nodes for a
    + * stage, and blacklisting executors and nodes across an entire 
application (with a periodic
    + * expiry).
    + *
    + * The tracker needs to deal with a variety of workloads, eg.: bad user 
code, which may lead to many
    --- End diff --
    
    super nit but can you write this as a bulleted list so it's easy to skim?


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