You are viewing a plain text version of this content. The canonical link for it is here.
Posted to reviews@spark.apache.org by kiszk <gi...@git.apache.org> on 2017/08/06 13:34:17 UTC

[GitHub] spark pull request #18855: [SPARK-3151][Block Manager] DiskStore.getBytes fa...

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`?


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org