Github user sryza commented on a diff in the pull request:
https://github.com/apache/spark/pull/4450#discussion_r26017595
--- Diff:
core/src/main/scala/org/apache/spark/util/collection/ChainedBuffer.scala ---
@@ -0,0 +1,134 @@
+/*
+ * 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.util.collection
+
+import java.io.OutputStream
+
+import scala.collection.mutable.ArrayBuffer
+
+import org.apache.spark.storage.BlockObjectWriter
+
+/**
+ * A logical byte buffer that wraps a list of byte arrays. All the byte
arrays have equal size. The
+ * advantage of this over a standard ArrayBuffer is that it can grow
without claiming large amounts
+ * of memory and needing to copy the full contents.
+ */
+private[spark] class ChainedBuffer(chunkSize: Int) {
--- End diff --
Ah, wasn't aware of that. Yeah, there might be a way to consolidate them
somehow. The current advantages of `ChainedBuffer` over
`ByteArrayChunkOutputStream` are that it provides the ability to read from an
arbitrary position and allows writes to cross chunk boundaries.
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