Github user mwws commented on a diff in the pull request:
https://github.com/apache/spark/pull/11249#discussion_r53741073
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/Checkpoint.scala ---
@@ -41,6 +41,13 @@ class Checkpoint(ssc: StreamingContext, val
checkpointTime: Time)
val checkpointDuration = ssc.checkpointDuration
val pendingTimes = ssc.scheduler.getPendingTimes().toArray
val sparkConfPairs = ssc.conf.getAll
+ @transient val recoverableAccuNameToId = ssc.recoverableAccuNameToId
--- End diff --
`ssc`could be used directly, but could not in `scala.Function1` as input of
`filter` method, otherwise it need to be serialized.
if I change change the code to
```scala
val trackedAccs: Array[AccumulableCheckpoint[_, _]] =
Accumulators.originals.filter(ele =>
ssc.recoverableAccuNameToId.values.toSet.contains(ele._1)).map{
case (id, weakRef) => new AccumulableCheckpoint(weakRef.get.get)
}.toArray
```
and got below exception:
> java.io.NotSerializableException: DStream checkpointing has been enabled
but the DStreams with their functions are not serializable
org.apache.spark.streaming.StreamingContext
Serialization stack:
- object not serializable (class:
org.apache.spark.streaming.StreamingContext, value:
org.apache.spark.streaming.StreamingContext@381bf51d)
- field (class: org.apache.spark.streaming.Checkpoint, name:
org$apache$spark$streaming$Checkpoint$$ssc, type: class
org.apache.spark.streaming.StreamingContext)
- object (class org.apache.spark.streaming.Checkpoint,
org.apache.spark.streaming.Checkpoint@622b6f7)
at
org.apache.spark.streaming.StreamingContext.validate(StreamingContext.scala:570)
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