[GitHub] spark pull request: [SPARK-1888] enhance MEMORY_AND_DISK mode by d...

[suyanNone <gi...@git.apache.org>]

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

    https://github.com/apache/spark/pull/791#discussion_r21156020
  
    --- Diff: core/src/main/scala/org/apache/spark/storage/BlockManager.scala ---
    @@ -837,11 +837,11 @@ private[spark] class BlockManager(
        * Drop a block from memory, possibly putting it on disk if applicable. Called when the memory
        * store reaches its limit and needs to free up space.
        *
    -   * Return the block status if the given block has been updated, else None.
    +   * Return the block status and dropped memory size if the given block has been updated, else None.
        */
       def dropFromMemory(
           blockId: BlockId,
    -      data: Either[Array[Any], ByteBuffer]): Option[BlockStatus] = {
    +      data: Either[Array[Any], ByteBuffer]): Option[(BlockStatus, Long)] = {
     
         logInfo(s"Dropping block $blockId from memory")
         val info = blockInfo.get(blockId).orNull
    --- End diff --
    
    Hi, as for now, this method is called by doPut 1) and doGetLocal to put data from disk into memory 2), all this two are got related blockinfo.synchronized, So will there need used info.synchronized again?


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