Github user eyalfa commented on a diff in the pull request:
https://github.com/apache/spark/pull/18855#discussion_r131543602
--- 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
+ , s"can't create a byte buffer of size $blockSize"
+ + s" since it exceeds Int.MaxValue ${Int.MaxValue}.")
+ Utils.tryWithResource(open()) { channel =>
+ if (blockSize < minMemoryMapBytes) {
+ // For small files, directly read rather than memory map.
+ val buf = ByteBuffer.allocate(blockSize.toInt)
+ JavaUtils.readFully(channel, buf)
+ buf.flip()
+ buf
+ } else {
+ channel.map(MapMode.READ_ONLY, 0, file.length)
+ }
+ }
+ }
+
+ override def size: Long = blockSize
+
+ override def dispose(): Unit = {}
+
+ private def open() = new FileInputStream(file).getChannel
--- End diff --
will do :sunglasses:
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