schlosna commented on code in PR #38781:
URL: https://github.com/apache/spark/pull/38781#discussion_r1033091561
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core/src/main/scala/org/apache/spark/SparkContext.scala:
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@@ -2570,10 +2570,23 @@ class SparkContext(config: SparkConf) extends Logging {
private[spark] def newShuffleId(): Int = nextShuffleId.getAndIncrement()
- private val nextRddId = new AtomicInteger(0)
+ private var nextRddId = new AtomicInteger(0)
Review Comment:
What happens when the RDD ID overflows within a SparkContext? Are there
tests that cover these cases?
Curious if it would be better to switch to an AtomicLong and just modulo max
int?
```suggestion
private[spark] def newRddId(): Int = (nextRddId.getAndIncrement() %
Integer.MAX_VALUE).toInt
```
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