Github user mwws commented on a diff in the pull request:
https://github.com/apache/spark/pull/11249#discussion_r53410683
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/StreamingContext.scala ---
@@ -269,6 +270,39 @@ class StreamingContext private[streaming] (
RDDOperationScope.withScope(sc, name, allowNesting = false,
ignoreParent = false)(body)
}
+ private[streaming] val recoverableAccuNameToId: mutable.Map[String,
Long] = {
+ if (isCheckpointPresent) {
+ // accumulators created by StreamingContext must provide name, so
it's safe to call name.get
+ mutable.Map(_cp.trackedAccs.map(accCP => (accCP.name, -1L)).toSeq:
_*)
+ } else {
+ mutable.Map.empty
+ }
+ }
+
+ /**
+ * Different from accumulator in SparkContext, it will first try to
recover from Checkpoint
+ * if it exist.
+ *
+ * @param initialValue initial value of accumulator. It will be
ignored when recovering from
+ * checkpoint
+ * @param name name is required as identity to find
corresponding accumulator.
+ */
+ def accumulator[T](initialValue: T, name: String)(implicit param:
AccumulatorParam[T])
--- End diff --
hmm... change func name might me a good idea to explicitly emphasize the
recoverable feature. I will change it.
About the input parameter, I don't think `createFunc `here is necessary,
`initialValue` should be enough.
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