Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/1090#discussion_r13819928
--- Diff: core/src/main/scala/org/apache/spark/rdd/SortedParitionsRDD.scala
---
@@ -0,0 +1,337 @@
+/*
+ * 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.rdd
+
+import scala.reflect.ClassTag
+import scala.collection.mutable.ArrayBuffer
+import java.io.{InputStream, BufferedInputStream, FileInputStream, File,
Serializable, EOFException}
+import org.apache.spark.{Partition, TaskContext}
+import org.apache.spark.{Logging, SparkEnv}
+import org.apache.spark.serializer.Serializer
+import org.apache.spark.storage.{BlockId, BlockManager}
+import org.apache.spark.util.SizeEstimator
+
+/**
+ * An RDD that sorts each of it's partitions independently.
+ *
+ * If partitions are too large to fit in memory, they are externally
sorted.
+ *
+ * Two parameters control the memory threshold for external sort:
+ *
+ * `spark.shuffle.memoryFraction` specifies the collective amount of
memory used for storing
--- End diff --
If we use the same parameter for sorting, it might make sense to call this
something else, since this isn't exactly a shuffle.
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