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[BP-1.20][FLINK-40904][FLINK-40780][runtime] Detect FORWARD parallelism mismatch correctly and make the downgrade configurable - #29550
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| final int producerParallelism = environment.getTaskInfo().getNumberOfParallelSubtasks(); | ||
| // The number of subpartitions isn't the consumer parallelism on a POINTWISE edge, so the | ||
| // actual consumer parallelism is passed through the deployment descriptor. | ||
| final int consumerParallelism = environment.getWriterConsumerParallelism(outputIndex); |
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I think this turns a forward edge overridden from 2 to 4 into a real rebalance by default; before, only consumers 0 and 2 got data. Is that intended for a patch release?
…er from FORWARD to REBALANCE for autoscaler and adaptive scheduler (cherry picked from commit 2ac5d28)
…st' in ForwardEdgesAdapterTest to reduce the time cost (apache#28393) (cherry picked from commit 8d705d6)
…artitionDeploymentDescriptor A task can only see the number of subpartitions of its outputs, which is not the consumer parallelism on a POINTWISE edge. Pass the parallelism of the consuming job vertices through ResultPartitionDeploymentDescriptor and expose it via Environment#getWriterConsumerParallelism. No behavior change. (cherry picked from commit 56dfbeb)
…ctual consumer parallelism The FORWARD-to-REBALANCE downgrade compared the producer parallelism with the number of subpartitions, which is not the consumer parallelism on a POINTWISE edge. Equal parallelism > 1 was taken as a mismatch, and N -> M with N > 1 could go undetected. Compare with the actual consumer parallelism instead and include both values in the log. (cherry picked from commit 96f5580)
…lism mismatch configurable When a FORWARD edge connects a producer and consumer whose parallelism no longer match (e.g. after a rescale via the AdaptiveScheduler or pipeline.jobvertex-parallelism-overrides), the runtime silently replaces the ForwardPartitioner with a RebalancePartitioner (FLINK-30213). This is safe for append-only streams but silently reorders order-sensitive (changelog) streams, producing incorrect results. Add pipeline.forward-edge.parallelism-mismatch-mode to control this behavior: - REBALANCE (default): current behavior, warn log. - FAIL: reject the job with an exception. - KEEP_FORWARD: keep the forward partitioner (order-preserving), warn log. (cherry picked from commit 596c373)
…h modes Cover every combination of scheduler (Default, Adaptive, AdaptiveBatch), parallelism change and mismatch mode, with the new parallelism applied either at submission via pipeline.jobvertex-parallelism-overrides or at runtime via the resource requirements API of the AdaptiveScheduler. (cherry picked from commit 8a369e7)
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Backporting #27404 (FLINK-33123), #28393 (FLINK-39912), #29374 and #29272 to 1.20