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

    https://github.com/apache/spark/pull/3518#discussion_r21062519
  
    --- Diff: 
core/src/main/scala/org/apache/spark/util/SerializationHelper.scala ---
    @@ -0,0 +1,127 @@
    +/*
    + * 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.
    + */
    +
    +// Created by Ilya Ganelin
    +package org.apache.spark.util
    +
    +import java.io.NotSerializableException
    +
    +import org.apache.spark.rdd.RDD
    +import org.apache.spark.scheduler.Task
    +import org.apache.spark.serializer.{SerializerInstance, Serializer}
    +
    +import scala.collection.mutable.HashMap
    +import scala.util.control.NonFatal
    +
    +/**
    + * This class is designed to encapsulate some utilities to facilitate 
debugging serialization 
    + * problems in the DAGScheduler and the TaskSetManager. See SPARK-3694.
    + */
    +object SerializationHelper {
    +    // Define vars to standardize debugging output 
    +    var Failed = "Failed to serialize"
    +    var FailedDeps = "Failed to serialize dependencies"
    +    var Serialized = "Serialized"
    +
    +  /**
    +   * Helper function to check whether an RDD is serializable.
    +   *
    +   * If any dependency of an RDD is un-serializable, a 
NotSerializableException will be thrown
    +   * and the entire RDD will be deemed un-serializable if done with a 
single try-catch.
    +   *
    +   * Therefore, split the evaluation into two stages, in the first stage 
attempt to serialize 
    +   * the rdd. If it fails, attempt to serialize its dependencies in the 
failure handler and see 
    +   * if those also fail.
    +   *
    +   * This approach will show if any of the dependencies are 
un-serializable and will not 
    +   * incorrectly identify the parent RDD as being serializable.
    +   *
    +   * @param closureSerializer - An instance of a serializer 
(single-threaded) that will be used
    +   * @param rdd - Rdd to attempt to serialize
    +   * @return - An output string qualifying success or failure.
    +   */
    +  def isSerializable(closureSerializer : SerializerInstance, rdd : RDD[_]) 
: String = {
    --- End diff --
    
    Maybe a better return type would be an Either: it either returns serialized 
bytes or an error trace.


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