[Improvement][Metrics] Add more worker related metrics and fix some previous ones (#14254)

* Add more worker related metrics and fix some previous ones

* update metrics docs

docs/docs/en/guide/metrics/metrics.md

@@ -73,7 +73,6 @@ For example, you can get the master metrics by `curl http://localhost:5679/actua
 - ds.task.dispatch.failure.count: (counter) the number of tasks failed to dispatch, retry failure included
 - ds.task.dispatch.error.count: (counter) the number of task dispatch errors
 - ds.task.execution.count.by.type: (counter) the number of task executions grouped by tag `task_type`
-- ds.task.running: (gauge) the number of running tasks
 - ds.task.prepared: (gauge) the number of tasks prepared for task queue
 - ds.task.execution.count: (counter) the number of executed tasks
 - ds.task.execution.duration: (histogram) duration of task executions
@@ -104,6 +103,12 @@ For example, you can get the master metrics by `curl http://localhost:5679/actua
 ### Worker Server Metrics
 
 - ds.worker.overload.count: (counter) the number of times the worker overloaded
+- ds.worker.task: (gauge) the number of tasks on the worker, including pending and running ones
+- ds.worker.execute.queue.size: (gauge) the number of pending tasks on the worker
+- ds.worker.active.execute.thread: (gauge) the number of running tasks on the worker
+- ds.worker.memory.available: (gauge) the available physical memory of the worker (GB)
+- ds.worker.cpu.usage: (gauge) the cpu usage percentage of the worker
+- ds.worker.memory.usage: (gauge) the memory usage percentage of the worker
 - ds.worker.full.submit.queue.count: (counter) the number of times the worker's submit queue being full
 - ds.worker.resource.download.count: (counter) the number of downloaded resource files on workers, sliced by tag `status`
 - ds.worker.resource.download.duration: (histogram) the time cost of resource download on workers

docs/docs/zh/guide/metrics/metrics.md

@@ -74,7 +74,6 @@ metrics exporter端口`server.port`是在application.yaml里定义的: master: `
 - ds.task.dispatch.failure.count: (counter) 分发失败的任务数量，重试也包含在内
 - ds.task.dispatch.error.count: (counter) 分发任务的错误数量
 - ds.task.execution.count.by.type: (counter) 任务执行数量，按标签`task_type`聚类
-- ds.task.running: (gauge) 正在运行的任务数量
 - ds.task.prepared: (gauge) 准备好且待提交的任务数量
 - ds.task.execution.count: (counter) 已执行的任务数量
 - ds.task.execution.duration: (histogram) 任务执行时长
@@ -104,6 +103,12 @@ metrics exporter端口`server.port`是在application.yaml里定义的: master: `
 ### Worker Server指标
 
 - ds.worker.overload.count: (counter) worker过载次数
+- ds.worker.task: (gauge) worker上任务总数，包含等待提交和正在执行的任务
+- ds.worker.execute.queue.size: (gauge) worker上等待提交的任务总数
+- ds.worker.active.execute.thread: (gauge) worker上正在执行的任务总数
+- ds.worker.memory.available: (gauge) worker机器可用物理内存 (GB)
+- ds.worker.cpu.usage: (gauge) worker机器cpu使用百分比
+- ds.worker.memory.usage: (gauge) worker机器内存使用百分比
 - ds.worker.full.submit.queue.count: (counter) worker提交队列全满次数
 - ds.worker.resource.download.count: (counter) worker下载资源文件的次数，可由`status`标签切分
 - ds.worker.resource.download.duration: (histogram) worker下载资源文件时花费的时间分布

dolphinscheduler-meter/src/main/resources/grafana/DolphinSchedulerWorker.json

@@ -437,11 +437,11 @@
             "type": "prometheus",
             "uid": "PBFA97CFB590B2093"
           },
-          "expr": "ds_task_running{}",
+          "expr": "ds_worker_task{}",
           "refId": "A"
         }
       ],
-      "title": "Worker Running Task",
+      "title": "Worker Tasks Total",
       "type": "timeseries"
     },
     {

dolphinscheduler-worker/src/main/java/org/apache/dolphinscheduler/server/worker/metrics/WorkerServerMetrics.java

@@ -91,9 +91,39 @@ public class WorkerServerMetrics {
         workerResourceDownloadSizeDistribution.record(size);
     }
 
-    public void registerWorkerRunningTaskGauge(final Supplier<Number> supplier) {
-        Gauge.builder("ds.task.running", supplier)
-                .description("number of running tasks on workers")
+    public void registerWorkerTaskTotalGauge(final Supplier<Number> supplier) {
+        Gauge.builder("ds.worker.task", supplier)
+                .description("total number of tasks on worker")
+                .register(Metrics.globalRegistry);
+    }
+
+    public void registerWorkerExecuteQueueSizeGauge(Supplier<Number> supplier) {
+        Gauge.builder("ds.worker.execute.queue.size", supplier)
+                .description("worker execute queue size")
+                .register(Metrics.globalRegistry);
+    }
+
+    public void registerWorkerActiveExecuteThreadGauge(Supplier<Number> supplier) {
+        Gauge.builder("ds.worker.active.execute.thread", supplier)
+                .description("number of active task execute threads on worker")
+                .register(Metrics.globalRegistry);
+    }
+
+    public void registerWorkerMemoryAvailableGauge(Supplier<Number> supplier) {
+        Gauge.builder("ds.worker.memory.available", supplier)
+                .description("worker memory available")
+                .register(Metrics.globalRegistry);
+    }
+
+    public void registerWorkerCpuUsageGauge(Supplier<Number> supplier) {
+        Gauge.builder("ds.worker.cpu.usage", supplier)
+                .description("worker cpu usage")
+                .register(Metrics.globalRegistry);
+    }
+
+    public void registerWorkerMemoryUsageGauge(Supplier<Number> supplier) {
+        Gauge.builder("ds.worker.memory.usage", supplier)
+                .description("worker memory usage")
                 .register(Metrics.globalRegistry);
     }
 

dolphinscheduler-worker/src/main/java/org/apache/dolphinscheduler/server/worker/runner/WorkerExecService.java

@@ -52,7 +52,7 @@ public class WorkerExecService {
         this.execService = execService;
         this.listeningExecutorService = MoreExecutors.listeningDecorator(this.execService);
         this.taskExecuteThreadMap = taskExecuteThreadMap;
-        WorkerServerMetrics.registerWorkerRunningTaskGauge(taskExecuteThreadMap::size);
+        WorkerServerMetrics.registerWorkerTaskTotalGauge(taskExecuteThreadMap::size);
     }
 
     public void submit(final WorkerTaskExecuteRunnable taskExecuteThread) {
@@ -86,6 +86,10 @@ public class WorkerExecService {
         return ((ThreadPoolExecutor) this.execService).getQueue().size();
     }
 
+    public int getActiveExecThreadCount() {
+        return ((ThreadPoolExecutor) this.execService).getActiveCount();
+    }
+
     public Map<Integer, WorkerTaskExecuteRunnable> getTaskExecuteThreadMap() {
         return taskExecuteThreadMap;
     }

dolphinscheduler-worker/src/main/java/org/apache/dolphinscheduler/server/worker/runner/WorkerManagerThread.java

@@ -20,6 +20,7 @@ package org.apache.dolphinscheduler.server.worker.runner;
 import org.apache.dolphinscheduler.common.constants.Constants;
 import org.apache.dolphinscheduler.common.lifecycle.ServerLifeCycleManager;
 import org.apache.dolphinscheduler.common.thread.ThreadUtils;
+import org.apache.dolphinscheduler.common.utils.OSUtils;
 import org.apache.dolphinscheduler.plugin.task.api.TaskExecutionContextCacheManager;
 import org.apache.dolphinscheduler.server.worker.config.TaskExecuteThreadsFullPolicy;
 import org.apache.dolphinscheduler.server.worker.config.WorkerConfig;
@@ -122,6 +123,12 @@ public class WorkerManagerThread implements Runnable {
 
     @Override
     public void run() {
+        WorkerServerMetrics.registerWorkerCpuUsageGauge(OSUtils::cpuUsagePercentage);
+        WorkerServerMetrics.registerWorkerMemoryAvailableGauge(OSUtils::availablePhysicalMemorySize);
+        WorkerServerMetrics.registerWorkerMemoryUsageGauge(OSUtils::memoryUsagePercentage);
+        WorkerServerMetrics.registerWorkerExecuteQueueSizeGauge(workerExecService::getThreadPoolQueueSize);
+        WorkerServerMetrics.registerWorkerActiveExecuteThreadGauge(workerExecService::getActiveExecThreadCount);
+
         Thread.currentThread().setName("Worker-Execute-Manager-Thread");
         while (!ServerLifeCycleManager.isStopped()) {
             try {