Web指标的含义是,inputchannel和resultparitition,持有的buffer个数,这些buffer被读完后会release,所以链路通畅的话,length应该会很小 inPoolUsage WebFlink Credit-Based 网络 我们在监控反压时会用到的 Metrics 主要和 Channel 接受端的 Buffer 使用率有关,最为有用的是以下几个 Metrics: Metris描述outPoolUsage发送端 Buffer 的使用率inPoolUsage接收端 Buffer 的使用率floatingBuffersUsage(1.9 以上)接收端 Floating Buffer 的使用率exclusiveBuffersUsage (1.9 以上)接收端 Exclusive Buffer 的 …
Flink反压判断 - 宁君 - 博客园
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. … WebThe following examples show how to use org.apache.flink.runtime.taskmanager.Task. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar. highs coffee
Flink 常见问题定位指南 - 腾讯云开发者社区-腾讯云
WebAug 4, 2024 · 其中 outPoolUsage 是发送端使用的 Buffer 数占 LocalBufferPool 的比例,inPoolUsage 是接收端 Buffer 数占总的 Buffer 数(exclusive + floating)的比例。 ( … WebWe should expose the following Metrics on the TaskIOMetricGroup: 1. Buffers.inputQueueLength: received buffers of InputGates for a task 2. Buffers.outputQueueLength: buffers of produced ResultPartitions for a task 3. Buffers.inPoolUsage: usage of InputGates buffer pool for a task 4. … 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 … highs darlington md