WebNov 18, 2024 · Flink 1.9 反压分析表 通常来说,floatingBuffersUsage 为高则表明反压正在传导至上游,而 exclusiveBuffersUsage 则表明了反压是否存在倾斜(floatingBuffersUsage 高、exclusiveBuffersUsage 低为有倾斜,因为少数 channel 占用了大部分的 Floating Buffer)。 至此,我们已经有比较丰富的手段定位反压的根源是出现在哪个节点,但是 … WebApache Flink 1.11 Documentation: Metrics This documentation is for an out-of-date version of Apache Flink. We recommend you use the latest stable version. v1.11 Home Try Flink Local Installation Fraud Detection with the DataStream API Real Time Reporting with the Table API Python API Flink Operations Playground Learn Flink Overview
How does Flink analyze and handle back pressure?
WebMetrics # Flink exposes a metric system that allows gathering and exposing metrics to external systems. Registering metrics # You can access the metric system from any user function that extends RichFunction by calling getRuntimeContext().getMetricGroup(). This method returns a MetricGroup object on which you can create and register new metrics. … WebFlink Web UI 的反压监控提供了 SubTask 级别的反压监控,1.13 版本以前是通过周期性对 Task 线程的栈信息采样,得到线程被阻塞在请求 Buffer(意味着被下游队列阻塞)的频率来判断该节点是否处于反压状态。 grandview medical center obgyn
flink-learning/flink_monitor_measurements.md at master - Github
WebinPoolUsage和outPoolUsage反压分析表. outPoolUsage 和 inPoolUsage 同为低表明当前 Subtask 是正常的,同为高分别表明当前 Subtask 被下游反压。 如果一个 Subtask 的 … WebJul 8, 2024 · Flink input rate control. We are using Flink 1.9.1. We have a source, a process function, and a sink. The application consumes and produces to kinesis. The input rate (produced by a simulator) is 20 events per second. The per second output rate for the process function shows 14 per second. The back pressure metrics for the source is … WebA tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. chinese takeaway halesworth