增强客户端数据采集定制化.

hippo4j-spring-boot-starter/src/main/java/cn/hippo4j/starter/config/BootstrapProperties.java

@@ -37,7 +37,22 @@ public class BootstrapProperties {
     /**
      * Print dynamic thread pool banner
      */
-    private boolean banner = true;
+    private Boolean banner = true;
+
+    /**
+     * Enable client data collect
+     */
+    private Boolean enableCollect = true;
+
+    /**
+     * Task buffer container capacity
+     */
+    private Integer taskBufferSize = 4096;
+
+    /**
+     * Delay starting data acquisition task. unit: ms
+     */
+    private Long initialDelay = 10000L;
 
     /**
      * Time interval for client to collect monitoring data. unit: ms

hippo4j-spring-boot-starter/src/main/java/cn/hippo4j/starter/handler/DynamicThreadPoolBannerHandler.java

@@ -42,7 +42,7 @@ public class DynamicThreadPoolBannerHandler implements InitializingBean {
                 "|___/ \\_, |_||_\\__,_|_|_|_|_\\__|   |_| |_|  \n" +
                 "      |__/                                  \n";
 
-        if (properties.isBanner()) {
+        if (properties.getBanner()) {
             String version = getVersion();
             version = (version != null) ? " (v" + version + ")" : "no version.";
 

hippo4j-spring-boot-starter/src/main/java/cn/hippo4j/starter/monitor/ReportingEventExecutor.java

@@ -47,22 +47,19 @@ public class ReportingEventExecutor implements Runnable, CommandLineRunner, Disp
     private final ServerHealthCheck serverHealthCheck;
 
     /**
-     * 数据采集集合
+     * 数据采集组件集合
      */
     private Map<String, Collector> collectors;
 
     /**
      * 数据采集的缓冲容器, 等待 ReportingEventExecutor 上报服务端
      */
-    private final BlockingQueue<Message> messageCollectVessel = new ArrayBlockingQueue(4096);
+    private BlockingQueue<Message> messageCollectVessel;
 
     /**
      * 数据采集定时执行器, Spring 启动后延时一段时间进行采集动态线程池的运行数据
      */
-    private final ScheduledThreadPoolExecutor collectVesselExecutor = new ScheduledThreadPoolExecutor(
-            new Integer(1),
-            ThreadFactoryBuilder.builder().daemon(true).prefix("collect-data-scheduled").build()
-    );
+    private ScheduledThreadPoolExecutor collectVesselExecutor;
 
     @SneakyThrows
     @Override
@@ -79,13 +76,32 @@ public class ReportingEventExecutor implements Runnable, CommandLineRunner, Disp
 
     @Override
     public void run(String... args) {
-        long initialDelay = 100000;
-        String reportingTaskName = "reporting-task";
-        // 延迟 initialDelay 后循环调用. scheduleWithFixedDelay 每次执行时间为上一次任务结束时, 向后推一个时间间隔
-        collectVesselExecutor.scheduleWithFixedDelay(() -> runTimeGatherTask(), initialDelay, properties.getCollectInterval(), TimeUnit.MILLISECONDS);
-        ThreadUtil.newThread(this, reportingTaskName, Boolean.TRUE).start();
+        if (properties.getEnableCollect()) {
+            Integer bufferSize = properties.getTaskBufferSize();
+            messageCollectVessel = new ArrayBlockingQueue(bufferSize);
+
+            String collectVesselTaskName = "collect-data-scheduled";
+            collectVesselExecutor = new ScheduledThreadPoolExecutor(
+                    new Integer(1),
+                    ThreadFactoryBuilder.builder().daemon(true).prefix(collectVesselTaskName).build()
+            );
+
+            // 延迟 initialDelay 后循环调用. scheduleWithFixedDelay 每次执行时间为上一次任务结束时, 向后推一个时间间隔
+            collectVesselExecutor.scheduleWithFixedDelay(
+                    () -> runTimeGatherTask(),
+                    properties.getInitialDelay(),
+                    properties.getCollectInterval(),
+                    TimeUnit.MILLISECONDS
+            );
+
+            // 启动上报监控数据线程
+            String reportingTaskName = "reporting-task";
+            ThreadUtil.newThread(this, reportingTaskName, Boolean.TRUE).start();
+
+            // 获取所有数据采集组件, 目前仅有历史运行数据采集
+            collectors = ApplicationContextHolder.getBeansOfType(Collector.class);
+        }
 
-        collectors = ApplicationContextHolder.getBeansOfType(Collector.class);
         log.info("Dynamic thread pool :: [{}]. The dynamic thread pool starts data collection and reporting. ", getThreadPoolNum());
     }