[ server ] [ execution ]- optimize some controller - 2
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@@ -1,24 +0,0 @@
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package io.wdd.rpc.scheduler.config;
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import com.fasterxml.jackson.annotation.JsonInclude;
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import io.swagger.annotations.ApiModel;
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import io.swagger.annotations.ApiModelProperty;
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/**
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* @author Andya
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* @create 2021/04/01
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*/
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@ApiModel(value = "更新job cron时间参数")
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@JsonInclude(JsonInclude.Include.NON_NULL)
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public class UpdateJobBean {
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@ApiModelProperty(value = "jobTime的cron表达式", example = "0 0 1 * * ?")
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String jobCronTime;
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public String getJobCronTime() {
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return jobCronTime;
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}
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public void setJobCronTime(String jobCronTime) {
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this.jobCronTime = jobCronTime;
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}
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}
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@@ -16,15 +16,19 @@ public class AgentRunMetricStatusJob extends QuartzJobBean {
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@Resource
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AgentRuntimeMetricStatus agentRuntimeMetricStatus;
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@Override
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protected void executeInternal(JobExecutionContext jobExecutionContext) throws JobExecutionException {
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// 从JobDetailContext中获取相应的信息
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JobDataMap jobDataMap = jobExecutionContext.getJobDetail().getJobDataMap();
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JobDataMap jobDataMap = jobExecutionContext
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.getJobDetail()
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.getJobDataMap();
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// 执行Agent Metric 状态收集任务
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agentRuntimeMetricStatus.collect((Integer) jobDataMap.get(METRIC_REPORT_TIMES_COUNT), (Integer) jobDataMap.get(METRIC_REPORT_TIME_PINCH));
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agentRuntimeMetricStatus.collect(
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(Integer) jobDataMap.get(METRIC_REPORT_TIMES_COUNT),
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(Integer) jobDataMap.get(METRIC_REPORT_TIME_PINCH)
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);
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// todo 机构设计状态会被存储至 Redis Stream Key 中
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// AgentTopicName-Metric
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@@ -30,6 +30,9 @@ public class BuildStatusScheduleTask {
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@Value(value = "${octopus.status.healthy.start-delay}")
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int healthyCheckStartDelaySeconds;
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@Value(value = "${octopus.status.metric.cron}")
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int metricReportCronExpress;
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@Value(value = "${octopus.status.metric.pinch}")
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int metricReportTimePinch;
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@@ -64,16 +67,16 @@ public class BuildStatusScheduleTask {
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long totalSeconds = (nextValidTime.getTime() - now.getTime()) / 1000;
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metricReportTimesCount = (int) (totalSeconds / metricReportTimePinch) - 1;
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System.out.println("totalSeconds = " + totalSeconds);
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System.out.println("metricReportTimesCount = " + metricReportTimesCount);
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/*System.out.println("totalSeconds = " + totalSeconds);
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System.out.println("metricReportTimesCount = " + metricReportTimesCount);*/
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} catch (ParseException e) {
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throw new RuntimeException(e);
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}
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HashMap<String, Integer> map = new HashMap<String, Integer>();
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map.put(METRIC_REPORT_TIME_PINCH,metricReportTimePinch);
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map.put(METRIC_REPORT_TIMES_COUNT,metricReportTimesCount);
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map.put(METRIC_REPORT_TIME_PINCH, metricReportTimePinch);
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map.put(METRIC_REPORT_TIMES_COUNT, metricReportTimesCount);
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// build the Job 只发送一次消息,然后让Agent获取消息 (重复间隔,重复次数) 进行相应的处理!
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// todo 解决创建太多对象的问题,需要缓存相应的内容
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