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From Ngone51 <...@git.apache.org>
Subject [GitHub] spark pull request #19285: [SPARK-22068][CORE]Reduce the duplicate code betw...
Date Mon, 22 Jan 2018 04:55:24 GMT
Github user Ngone51 commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19285#discussion_r162841437
  
    --- Diff: core/src/main/scala/org/apache/spark/storage/memory/MemoryStore.scala ---
    @@ -162,26 +162,29 @@ private[spark] class MemoryStore(
       }
     
       /**
    -   * Attempt to put the given block in memory store as values.
    +   * Attempt to put the given block in memory store as values or bytes.
        *
        * It's possible that the iterator is too large to materialize and store in memory.
To avoid
        * OOM exceptions, this method will gradually unroll the iterator while periodically
checking
        * whether there is enough free memory. If the block is successfully materialized,
then the
        * temporary unroll memory used during the materialization is "transferred" to storage
memory,
        * so we won't acquire more memory than is actually needed to store the block.
        *
    -   * @return in case of success, the estimated size of the stored data. In case of failure,
return
    -   *         an iterator containing the values of the block. The returned iterator will
be backed
    -   *         by the combination of the partially-unrolled block and the remaining elements
of the
    -   *         original input iterator. The caller must either fully consume this iterator
or call
    -   *         `close()` on it in order to free the storage memory consumed by the partially-unrolled
    -   *         block.
    +   * @param blockId The block id.
    +   * @param values The values which need be stored.
    +   * @param classTag the [[ClassTag]] for the block.
    +   * @param memoryMode The values saved mode.
    --- End diff --
    
    Ah, I mean put the `values`  together with `saved mode` let me consider about values's
store type, rather than memory mode.


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