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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