[ server ] [ execution ]- optimize some controller - 2

This commit is contained in:
zeaslity
2023-01-16 18:02:36 +08:00
parent 41396e024c
commit 4812756408
6 changed files with 100 additions and 81 deletions

View File

@@ -5,8 +5,8 @@ import io.swagger.annotations.Api;
import io.swagger.annotations.ApiOperation;
import io.swagger.annotations.ApiParam;
import io.wdd.common.beans.response.R;
import io.wdd.rpc.scheduler.config.UpdateJobBean;
import io.wdd.rpc.scheduler.service.QuartzSchedulerService;
import org.quartz.Trigger;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
@@ -38,7 +38,7 @@ public class SchedulerController {
}
@ApiOperation(value = "删除一个job")
@PostMapping(value = "/deleteJob/{jobName}")
@PostMapping(value = "/deleteJob/")
public R<String> deleteJob(
@ApiParam(name = "jobName") @RequestParam("jobName") String jobName
) {
@@ -64,13 +64,25 @@ public class SchedulerController {
@ApiOperation(value = "修改job的cron时间")
@PostMapping(value = "/updateJob/{jobName}")
public void deleteJob(
@ApiParam(name = "jobName") @PathVariable("jobName") String jobName, @ApiParam(name = "jobCronTime") @RequestBody UpdateJobBean updateJobBean
@ApiParam(name = "jobName") @RequestParam("jobName") String jobName,
@ApiParam(name = "jobCronTime") @RequestParam("jobCronTime") String jobCronTime
) {
octopusQuartzService.updateJob(
jobName,
jobName,
updateJobBean.getJobCronTime()
jobCronTime
);
}
@ApiOperation(value = "查询所有的触发器Trigger")
@GetMapping(value = "/allTriggers")
public R<List<Trigger>> queryAllTriggers() {
return R.ok(
octopusQuartzService.queryAllTrigger()
);
}

View File

@@ -19,7 +19,7 @@ import java.util.List;
import java.util.stream.Collectors;
import static io.wdd.rpc.execute.service.ExecutionResultDaemonHandler.WAIT_EXECUTION_RESULT_LIST;
import static io.wdd.rpc.status.MonitorAllAgentStatus.ALL_AGENT_TOPIC_NAME_LIST;
import static io.wdd.rpc.status.MonitorAllAgentStatus.ALL_AGENT_TOPIC_NAME_SET;
@Service
@Slf4j
@@ -54,7 +54,7 @@ public class CoreExecutionServiceImpl implements CoreExecutionService {
public String SendCommandToAgent(String agentTopicName, String type, List<String> commandList) {
// 检查agentTopicName是否存在
if (!ALL_AGENT_TOPIC_NAME_LIST.contains(agentTopicName)) {
if (!ALL_AGENT_TOPIC_NAME_SET.contains(agentTopicName)) {
log.error("agentTopicName异常!");
throw new MyRuntimeException("agentTopicName异常!");
}

View File

@@ -1,24 +0,0 @@
package io.wdd.rpc.scheduler.config;
import com.fasterxml.jackson.annotation.JsonInclude;
import io.swagger.annotations.ApiModel;
import io.swagger.annotations.ApiModelProperty;
/**
* @author Andya
* @create 2021/04/01
*/
@ApiModel(value = "更新job cron时间参数")
@JsonInclude(JsonInclude.Include.NON_NULL)
public class UpdateJobBean {
@ApiModelProperty(value = "jobTime的cron表达式", example = "0 0 1 * * ?")
String jobCronTime;
public String getJobCronTime() {
return jobCronTime;
}
public void setJobCronTime(String jobCronTime) {
this.jobCronTime = jobCronTime;
}
}

View File

@@ -16,15 +16,19 @@ public class AgentRunMetricStatusJob extends QuartzJobBean {
@Resource
AgentRuntimeMetricStatus agentRuntimeMetricStatus;
@Override
protected void executeInternal(JobExecutionContext jobExecutionContext) throws JobExecutionException {
// 从JobDetailContext中获取相应的信息
JobDataMap jobDataMap = jobExecutionContext.getJobDetail().getJobDataMap();
JobDataMap jobDataMap = jobExecutionContext
.getJobDetail()
.getJobDataMap();
// 执行Agent Metric 状态收集任务
agentRuntimeMetricStatus.collect((Integer) jobDataMap.get(METRIC_REPORT_TIMES_COUNT), (Integer) jobDataMap.get(METRIC_REPORT_TIME_PINCH));
agentRuntimeMetricStatus.collect(
(Integer) jobDataMap.get(METRIC_REPORT_TIMES_COUNT),
(Integer) jobDataMap.get(METRIC_REPORT_TIME_PINCH)
);
// todo 机构设计状态会被存储至 Redis Stream Key 中
// AgentTopicName-Metric

View File

@@ -30,6 +30,9 @@ public class BuildStatusScheduleTask {
@Value(value = "${octopus.status.healthy.start-delay}")
int healthyCheckStartDelaySeconds;
@Value(value = "${octopus.status.metric.cron}")
int metricReportCronExpress;
@Value(value = "${octopus.status.metric.pinch}")
int metricReportTimePinch;
@@ -64,8 +67,8 @@ public class BuildStatusScheduleTask {
long totalSeconds = (nextValidTime.getTime() - now.getTime()) / 1000;
metricReportTimesCount = (int) (totalSeconds / metricReportTimePinch) - 1;
System.out.println("totalSeconds = " + totalSeconds);
System.out.println("metricReportTimesCount = " + metricReportTimesCount);
/*System.out.println("totalSeconds = " + totalSeconds);
System.out.println("metricReportTimesCount = " + metricReportTimesCount);*/
} catch (ParseException e) {
throw new RuntimeException(e);

View File

@@ -22,8 +22,8 @@ import static io.wdd.rpc.status.AgentRuntimeMetricStatus.ALL_HEALTHY_AGENT_TOPIC
/**
* 更新频率被类 BuildStatusScheduleTask.class控制
*
*
* <p>
* <p>
* 获取所有注册的Agent
* <p>
* 发送状态检查信息, agent需要update相应的HashMap的值
@@ -38,7 +38,6 @@ import static io.wdd.rpc.status.AgentRuntimeMetricStatus.ALL_HEALTHY_AGENT_TOPIC
@Slf4j
public class MonitorAllAgentStatus {
private static final int MAX_WAIT_AGENT_REPORT_STATUS_TIME = 5;
/**
* 存储 状态对应Agent列表的Map
* Agent的状态描述为 AgentHealthyStatusEnum
@@ -46,18 +45,17 @@ public class MonitorAllAgentStatus {
* FAILED -> ["agentTopicName-1" "agentTopicName-2"]
*/
public static final Map<String, List<String>> HEALTHY_STATUS_AGENT_LIST_MAP = new HashMap<>();
/**
* 存储所有Agent状态的Map
*
* <p>
* 内容为 agentTopicName-健康状态
*/
public static final Map<String, String> ALL_AGENT_HEALTHY_STATUS_MAP = new HashMap<>();
/**
* 存储所有的AgentTopicName的缓存
*/
public static final Set<String> ALL_AGENT_TOPIC_NAME_LIST = new HashSet<>();
public static final Set<String> ALL_AGENT_TOPIC_NAME_SET = new HashSet<>();
private static final int MAX_WAIT_AGENT_REPORT_STATUS_TIME = 5;
@Resource
RedisTemplate redisTemplate;
@Resource
@@ -66,6 +64,7 @@ public class MonitorAllAgentStatus {
CoreServerService coreServerService;
@Resource
BuildStatusScheduleTask buildStatusScheduleTask;
private List<String> ALL_AGENT_TOPIC_NAME_LIST;
private HashMap<String, String> AGENT_HEALTHY_INIT_MAP;
public void go() {
@@ -75,14 +74,19 @@ public class MonitorAllAgentStatus {
// 1. 获取所有注册的Agent
// todo need to cache this
List<ServerInfoVO> allAgentInfo = coreServerService.serverGetAll();
Assert.notEmpty(allAgentInfo,
"not agent registered ! skip the agent healthy status check !");
Assert.notEmpty(
allAgentInfo,
"not agent registered ! skip the agent healthy status check !"
);
Set<String> collect = allAgentInfo.stream()
ALL_AGENT_TOPIC_NAME_LIST = allAgentInfo
.stream()
.map(ServerInfoVO::getTopicName)
.collect(Collectors.toSet());
ALL_AGENT_TOPIC_NAME_LIST.clear();
ALL_AGENT_TOPIC_NAME_LIST.addAll(collect);
.collect(Collectors.toList());
// 2023-01-16
ALL_AGENT_TOPIC_NAME_SET.clear();
ALL_AGENT_TOPIC_NAME_SET.addAll(ALL_AGENT_TOPIC_NAME_LIST);
// 1.1 检查 Agent状态保存数据结构是否正常
checkOrCreateRedisHealthyKey();
@@ -110,28 +114,38 @@ public class MonitorAllAgentStatus {
// build the redis all agent healthy map struct
HashMap<String, String> initMap = new HashMap<>(32);
ALL_AGENT_TOPICNAME_LIST.stream()
ALL_AGENT_TOPIC_NAME_LIST
.stream()
.forEach(
agentTopicName -> {
initMap.put(agentTopicName,
"0");
initMap.put(
agentTopicName,
"0"
);
}
);
initMap.put("updateTime",
TimeUtils.currentTimeString());
initMap.put(
"updateTime",
TimeUtils.currentTimeString()
);
// cache this map struct
AGENT_HEALTHY_INIT_MAP = initMap;
redisTemplate.opsForHash()
.putAll(ALL_AGENT_STATUS_REDIS_KEY,
initMap);
// create the healthy redis structure
redisTemplate
.opsForHash()
.putAll(
ALL_AGENT_STATUS_REDIS_KEY,
initMap
);
}
}
private void buildAndSendAgentHealthMessage() {
List<OctopusStatusMessage> collect = ALL_AGENT_TOPICNAME_LIST
List<OctopusStatusMessage> collect = ALL_AGENT_TOPIC_NAME_LIST
.stream()
.map(
agentTopicName -> OctopusStatusMessage
@@ -146,26 +160,29 @@ public class MonitorAllAgentStatus {
}
private void updateAllAgentHealthyStatus() {
List statusList = redisTemplate
.opsForHash()
.multiGet(
ALL_AGENT_STATUS_REDIS_KEY,
ALL_AGENT_TOPICNAME_LIST);
ALL_AGENT_TOPIC_NAME_LIST
);
// current log to console is ok
// agent-topic-name : STATUS(healthy, failed, unknown)
HashMap<String, String> agentStatusMap = new HashMap<>(32);
for (int i = 0; i < ALL_AGENT_TOPICNAME_LIST.size(); i++) {
for (int i = 0; i < ALL_AGENT_TOPIC_NAME_LIST.size(); i++) {
agentStatusMap.put(
ALL_AGENT_TOPICNAME_LIST.get(i),
ALL_AGENT_TOPIC_NAME_LIST.get(i),
uniformHealthyStatus(String.valueOf(statusList.get(i)))
);
}
String currentTimeString = TimeUtils.currentTimeString();
log.info("[ AGENT HEALTHY CHECK ] time is {} , result are => {}",
log.info(
"[ AGENT HEALTHY CHECK ] time is {} , result are => {}",
currentTimeString,
agentStatusMap);
agentStatusMap
);
// 2023-01-16
ALL_AGENT_HEALTHY_STATUS_MAP.clear();
@@ -204,9 +221,10 @@ public class MonitorAllAgentStatus {
// Trigger调用Agent Metric 任务
ArrayList<String> allHealthyAgentTopicNames = new ArrayList<>(32);
for (int i = 0; i < statusList.size(); i++) {
if (statusList.get(i)
if (statusList
.get(i)
.equals("1")) {
allHealthyAgentTopicNames.add(ALL_AGENT_TOPICNAME_LIST.get(i));
allHealthyAgentTopicNames.add(ALL_AGENT_TOPIC_NAME_LIST.get(i));
}
}
ALL_HEALTHY_AGENT_TOPIC_NAMES = allHealthyAgentTopicNames;
@@ -214,12 +232,18 @@ public class MonitorAllAgentStatus {
buildStatusScheduleTask.buildAgentMetricScheduleTask();
// update time
AGENT_HEALTHY_INIT_MAP.put("updateTime",
currentTimeString);
AGENT_HEALTHY_INIT_MAP.put(
"updateTime",
currentTimeString
);
// init the healthy map
redisTemplate.opsForHash()
.putAll(ALL_AGENT_STATUS_REDIS_KEY,
AGENT_HEALTHY_INIT_MAP);
redisTemplate
.opsForHash()
.putAll(
ALL_AGENT_STATUS_REDIS_KEY,
AGENT_HEALTHY_INIT_MAP
);
}
private String uniformHealthyStatus(String agentStatus) {