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From rxin <...@git.apache.org>
Subject [GitHub] incubator-spark pull request: Patch for SPARK-942
Date Tue, 25 Feb 2014 06:16:47 GMT
Github user rxin commented on a diff in the pull request:

    https://github.com/apache/incubator-spark/pull/180#discussion_r10025467
  
    --- Diff: core/src/test/scala/org/apache/spark/storage/LargeIteratorSuite.scala ---
    @@ -0,0 +1,61 @@
    +/*
    + * 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.storage
    +
    +import org.scalatest.FunSuite
    +import org.apache.spark.{LocalSparkContext, SparkContext}
    +import org.apache.commons.io.FileUtils
    +import java.io.File
    +
    +class Expander(base:String, count:Int) extends Iterator[String] {
    +  var i = 0;
    +  def next() : String = {
    +    i += 1;
    +    return base + i.toString;
    +  }
    +  def hasNext() : Boolean = i < count;
    +}
    +
    +object Expander {
    +  def expand(s:String, i:Int) : Iterator[String] = {
    +    return new Expander(s,i)
    +  }
    +}
    +
    +class LargeIteratorSuite extends FunSuite with LocalSparkContext {
    +  /* Tests the ability of Spark to deal with user provided iterators that
    +   * generate more data then available memory. In any memory based persistance
    +   * Spark will unroll the iterator into an ArrayBuffer for caching, however in
    +   * the case that the use defines DISK_ONLY persistance, the iterator will be 
    +   * fed directly to the serializer and written to disk.
    +   */
    +  val clusterUrl = "local-cluster[1,1,512]"
    +  test("Flatmap iterator") {
    +    sc = new SparkContext(clusterUrl, "mem_test");
    +    val seeds = sc.parallelize( Array(
    +      "This is the first sentence that we will test:",
    +      "This is the second sentence that we will test:",
    +      "This is the third sentence that we will test:"
    +    ) );
    +    val expand_size = 10000000;
    --- End diff --
    
    Can you just throw an OutOfMemoryError explicitly in the test code? 


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