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

    https://github.com/apache/spark/pull/18855#discussion_r131543084
  
    --- Diff: core/src/main/scala/org/apache/spark/storage/DiskStore.scala ---
    @@ -165,6 +147,62 @@ private[spark] class DiskStore(
     
     }
     
    +private class DiskBlockData(
    +    conf: SparkConf,
    +    file: File,
    +    blockSize: Long) extends BlockData {
    +
    +  private val minMemoryMapBytes = 
conf.getSizeAsBytes("spark.storage.memoryMapThreshold", "2m")
    +
    +  override def toInputStream(): InputStream = new FileInputStream(file)
    +
    +  /**
    +  * Returns a Netty-friendly wrapper for the block's data.
    +  *
    +  * Please see `ManagedBuffer.convertToNetty()` for more details.
    +  */
    +  override def toNetty(): AnyRef = new DefaultFileRegion(file, 0, size)
    +
    +  override def toChunkedByteBuffer(allocator: (Int) => ByteBuffer): 
ChunkedByteBuffer = {
    +    Utils.tryWithResource(open()) { channel =>
    +      var remaining = blockSize
    +      val chunks = new ListBuffer[ByteBuffer]()
    +      while (remaining > 0) {
    +        val chunkSize = math.min(remaining, Int.MaxValue)
    +        val chunk = allocator(chunkSize.toInt)
    +        remaining -= chunkSize
    +        JavaUtils.readFully(channel, chunk)
    +        chunk.flip()
    +        chunks += chunk
    +      }
    +      new ChunkedByteBuffer(chunks.toArray)
    +    }
    +  }
    +
    +  override def toByteBuffer(): ByteBuffer = {
    +    require( size < Int.MaxValue
    --- End diff --
    
    Is it better to check `blockSize`?


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