Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/2131#discussion_r16760352
--- Diff: core/src/main/scala/org/apache/spark/CacheManager.scala ---
@@ -68,7 +68,9 @@ private[spark] class CacheManager(blockManager:
BlockManager) extends Logging {
// Otherwise, cache the values and keep track of any updates in
block statuses
val updatedBlocks = new ArrayBuffer[(BlockId, BlockStatus)]
val cachedValues = putInBlockManager(key, computedValues,
storageLevel, updatedBlocks)
- context.taskMetrics.updatedBlocks = Some(updatedBlocks)
+ val metrics = context.taskMetrics
+ val lastUpdatedBlocks =
metrics.updatedBlocks.getOrElse(Seq[(BlockId, BlockStatus)]())
+ metrics.updatedBlocks = Some(lastUpdatedBlocks ++
updatedBlocks.toSeq)
--- End diff --
A single task could call `getOrCompute` multiple times in a chain - if it
is computing several pipelined RDD's.
```
a.cache().filter(---).cache().count
```
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