zhuzhurk commented on code in PR #546: URL: https://github.com/apache/flink-web/pull/546#discussion_r898917321
########## _posts/2022-06-06-adaptive-batch-scheduler.md: ########## @@ -116,7 +121,7 @@ To solve this problem, we need to make the subpartitions evenly consumed by down Note that this is a temporary solution, the ultimate solution would be the [Auto-rebalancing of workloads](#auto-rebalancing-of-workloads), which may come soon. ## Build up execution graph dynamically -Before Flink 1.15, the execution graph was fully built in a static way before starting scheduling. To allow parallelisms of job vertices to be decided lazily, the execution graph must be able to be built up dynamically. +Before the introduction of adaptive batch scheduler, the execution graph was fully built in a static way before starting scheduling. To allow parallelisms of job vertices to be decided lazily, the execution graph must be able to be built up dynamically. Review Comment: the introduction of adaptive batch scheduler -> adaptive batch scheduler was introduced to Flink `introduction` might be misleading -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
