[FLINK-22243] Remove adaptive scheduler Web UI limitation from docs

nicusX · Oct 11, 2022 · 75dddf6 · 75dddf6
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diff --git a/docs/content.zh/docs/deployment/elastic_scaling.md b/docs/content.zh/docs/deployment/elastic_scaling.md
@@ -145,7 +145,6 @@ Adaptive 调度器可以通过[所有在名字包含 `adaptive-scheduler` 的配
 - **只支持流式 Job**：Adaptive 调度器的第一个版本仅支持流式 Job。当提交的是一个批处理 Job 时，我们会自动换回默认调度器。
 - **不支持[本地恢复]({{< ref "docs/ops/state/large_state_tuning">}}#task-local-recovery)**：本地恢复是将 Task 调度到状态尽可能的被重用的机器上的功能。不支持这个功能意味着 Adaptive 调度器需要每次从 Checkpoint 的存储中下载整个 State。
 - **不支持部分故障恢复**: 部分故障恢复意味着调度器可以只重启失败 Job 其中某一部分（在 Flink 的内部结构中被称之为 Region）而不是重启整个 Job。这个限制只会影响那些独立并行（Embarrassingly Parallel）Job的恢复时长，默认的调度器可以重启失败的部分，然而 Adaptive 将需要重启整个 Job。
-- **与 Flink Web UI 的集成受限**: Adaptive 调度器会在 Job 的生命周期中改变它的并行度。Web UI 上只显示 Job 当前的并行度。
 - **空闲 Slot**: 如果 Slot 共享组的最大并行度不相等，提供给 Adaptive 调度器所使用的的 Slot 可能不会被使用。
 - 扩缩容事件会触发 Job 和 Task 重启，Task 重试的次数也会增加。
 

diff --git a/docs/content/docs/deployment/elastic_scaling.md b/docs/content/docs/deployment/elastic_scaling.md
@@ -147,7 +147,6 @@ The behavior of Adaptive Scheduler is configured by [all configuration options c
 - **Streaming jobs only**: The first version of Adaptive Scheduler runs with streaming jobs only. When submitting a batch job, we will automatically fall back to the default scheduler.
 - **No support for [local recovery]({{< ref "docs/ops/state/large_state_tuning">}}#task-local-recovery)**: Local recovery is a feature that schedules tasks to machines so that the state on that machine gets re-used if possible. The lack of this feature means that Adaptive Scheduler will always need to download the entire state from the checkpoint storage.
 - **No support for partial failover**: Partial failover means that the scheduler is able to restart parts ("regions" in Flink's internals) of a failed job, instead of the entire job. This limitation impacts only recovery time of embarrassingly parallel jobs: Flink's default scheduler can restart failed parts, while Adaptive Scheduler will restart the entire job.
-- **Limited integration with Flink's Web UI**: Adaptive Scheduler allows that a job's parallelism can change over its lifetime. The web UI only shows the current parallelism the job.
 - **Unused slots**: If the max parallelism for slot sharing groups is not equal, slots offered to Adaptive Scheduler might be unused.
 - Scaling events trigger job and task restarts, which will increase the number of Task attempts.