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

    https://github.com/apache/spark/pull/11748#discussion_r56576152
  
    --- Diff: 
core/src/main/scala/org/apache/spark/util/io/ChunkedByteBuffer.scala ---
    @@ -0,0 +1,218 @@
    +/*
    + * 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.io
    +
    +import java.io.InputStream
    +import java.nio.ByteBuffer
    +import java.nio.channels.WritableByteChannel
    +
    +import com.google.common.primitives.UnsignedBytes
    +import io.netty.buffer.{ByteBuf, Unpooled}
    +
    +import org.apache.spark.network.util.ByteArrayWritableChannel
    +import org.apache.spark.storage.StorageUtils
    +
    +/**
    + * Read-only byte buffer which is physically stored as multiple chunks 
rather than a single
    + * contiguous array.
    + *
    + * @param chunks an array of [[ByteBuffer]]s. Each buffer in this array 
must be non-empty and have
    + *               position == 0. Ownership of these buffers is transferred 
to the ChunkedByteBuffer,
    + *               so if these buffers may also be used elsewhere then the 
caller is responsible for
    + *               copying them as needed.
    + */
    +private[spark] class ChunkedByteBuffer(var chunks: Array[ByteBuffer]) {
    +  require(chunks != null, "chunks must not be null")
    +  require(chunks.forall(_.limit() > 0), "chunks must be non-empty")
    +  require(chunks.forall(_.position() == 0), "chunks' positions must be 0")
    +
    +  /**
    +   * This size of this buffer, in bytes.
    +   */
    +  val size: Long = chunks.map(_.limit().asInstanceOf[Long]).sum
    +
    +  def this(byteBuffer: ByteBuffer) = {
    +    this(Array(byteBuffer))
    +  }
    +
    +  /**
    +   * Write this buffer to a channel.
    +   */
    +  def writeFully(channel: WritableByteChannel): Unit = {
    +    for (bytes <- getChunks()) {
    +      while (bytes.remaining > 0) {
    +        channel.write(bytes)
    +      }
    +    }
    +  }
    +
    +  /**
    +   * Wrap this buffer to view it as a Netty ByteBuf.
    +   */
    +  def toNetty: ByteBuf = {
    +    Unpooled.wrappedBuffer(getChunks(): _*)
    +  }
    +
    +  /**
    +   * Copy this buffer into a new byte array.
    +   *
    +   * @throws UnsupportedOperationException if this buffer's size exceeds 
the maximum array size.
    +   */
    +  def toArray: Array[Byte] = {
    +    if (size >= Integer.MAX_VALUE) {
    +      throw new UnsupportedOperationException(
    +        s"cannot call toArray because buffer size ($size bytes) exceeds 
maximum array size")
    +    }
    +    val byteChannel = new ByteArrayWritableChannel(size.toInt)
    +    writeFully(byteChannel)
    +    byteChannel.close()
    +    byteChannel.getData
    +  }
    +
    +  /**
    +   * Copy this buffer into a new ByteBuffer.
    +   *
    +   * @throws UnsupportedOperationException if this buffer's size exceeds 
the max ByteBuffer size.
    +   */
    +  def toByteBuffer: ByteBuffer = {
    +    if (chunks.length == 1) {
    +      chunks.head.duplicate()
    +    } else {
    +      ByteBuffer.wrap(toArray)
    +    }
    +  }
    +
    +  /**
    +   * Creates an input stream to read data from this ChunkedByteBuffer.
    +   *
    +   * @param dispose if true, [[dispose()]] will be called at the end of 
the stream
    +   *                in order to close any memory-mapped files which back 
this buffer.
    +   */
    +  def toInputStream(dispose: Boolean = false): InputStream = {
    +    new ChunkedByteBufferInputStream(this, dispose)
    +  }
    +
    +  /**
    +   * Get duplicates of the ByteBuffers backing this ChunkedByteBuffer.
    +   */
    +  def getChunks(): Array[ByteBuffer] = {
    +    chunks.map(_.duplicate())
    +  }
    +
    +  /**
    +   * Make a copy of this ChunkedByteBuffer, copying all of the backing 
data into new buffers.
    +   * The new buffer will share no resources with the original buffer.
    +   */
    +  def copy(): ChunkedByteBuffer = {
    +    val copiedChunks = getChunks().map { chunk =>
    +      // TODO: accept an allocator in this copy method to integrate with 
mem. accounting systems
    +      val newChunk = ByteBuffer.allocate(chunk.limit())
    +      newChunk.put(chunk)
    +      newChunk.flip()
    +      newChunk
    +    }
    +    new ChunkedByteBuffer(copiedChunks)
    +  }
    +
    +  /**
    +   * Attempt to clean up a ByteBuffer if it is memory-mapped. This uses an 
*unsafe* Sun API that
    +   * might cause errors if one attempts to read from the unmapped buffer, 
but it's better than
    +   * waiting for the GC to find it because that could lead to huge numbers 
of open files. There's
    +   * unfortunately no standard API to do this.
    +   */
    +  def dispose(): Unit = {
    +    chunks.foreach(StorageUtils.dispose)
    +  }
    +}
    +
    +/**
    + * Reads data from a ChunkedByteBuffer.
    + *
    + * @param dispose if true, [[ChunkedByteBuffer.dispose()]] will be called 
at the end of the stream
    --- End diff --
    
    This seems to be weird. When is it only checked on close() but not read?


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