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    Ongoing observations by End Point Dev people

    Quartz Scheduler as a Service

    Kürşat Kutlu Aydemir

    By Kürşat Kutlu Aydemir
    April 18, 2022

    Close-up view of mechanical watch with roman numerals and day of month and month pointers

    Photo by Mat Brown from Pexels

    Quartz Job Scheduler

    “Quartz is a richly featured, open source job scheduling library that can be integrated within virtually any Java application — from the smallest stand-alone application to the largest e-commerce system.” (Quartz Scheduler overview)

    Besides its advanced features, most basic and frequently used feature is job scheduling and job execution. Some frameworks like Spring Scheduler have their integration practice using Quartz Scheduler which allows using its default scheduling method.

    In this post I am going to tell you a different approach to show how we can use Quartz Scheduler to schedule our jobs. We actually still will be using the existing scheduling mechanism of Quartz but we’re going to show how we can manage the scheduled and unscheduled jobs online. This way you can manage all the available jobs or create new ones on the fly.

    Quartz Scheduler as a Service

    Previously I led development of an enterprise “Business Service Management” software to replace IBM’s TBSM product at a major telco company in Turkey. This was a challenging project and found a solid place in the customer environment after a successful release.

    Scheduled key performance indicators (KPI) retrieval and background reporting jobs were a significant part of this project. KPIs were either internal business service availability and health metrics or measured metrics calculated and stored in external data sources. Reports are also another type of schedulable jobs as many organizations need the data to be reported at certain intervals.

    In an enterprise web application with such needs you would need to allow your customer to create their own customized scheduled jobs (KPIs, reports, etc.) in an easily manageable way. For this I came up with a simple solution by blending the existing Quartz Scheduler scheduling mechanism with some spice.

    So here is the model we used:

    • A database table for creating/​updating scheduler job definitions
    • Observer Schduler Job for observing the scheduler job table to watch for any updates in the scheduled jobs: new job, updated job, or disabled job, etc.
    • Business Job: You might define several schedulable business job types. KPI is one of those and I am going to give an example of it.

    Simplicity should be a design goal, however the details can have their complexities.

    This design doesn’t replace or provide an alternative to how Quartz Scheduler schedules its jobs. That is subject to job persistence and is out of this article’s scope. I am assuming we are scheduling the jobs all in Quartz Scheduler’s RAM-store or Job-store.

    Read and Manage Job Data

    Ideally you should store and manage the jobs as services in a database and you can then connect to this job storage either via DB connection or API. For security reasons even if you think that your application or services are internal and totally authenticated and authorised you should still perform DB operations via APIs. But for capability perspective yes you can use many ways to read and manage a data storage.

    For this simple project I am not going to use a database but instead a JSON file as job service definitions repository. But you can simply convert this method to a database or API method.

    I am going to use a JSON file named kpi.json in my project and define a simple set of attributes for each KPI item. Any service or scheduled job can have more or fewer attributes according to the requirements of the business use case.

    Spring Application

    You can use any framework or even without using any framework you can create your application from scratch and build a JAR. Here in this project I chose to go with Spring framework. You can also simply initialize a Spring application here.


    As I suggested a model above as a scheduling service solution, here is a high-level design of the model.

    Quartz Scheduler service model diagram

    The overall solution would have a data storage for holding scheduled job service definitions and a UI for managing their attributes like enabling/​disabling or changing scheduling dates etc.

    In this solution we have two different Quartz Scheduler job types: observer job and business job. Observer job is a single job triggered frequently, say, every 5 seconds or every 1 minute, and checks the existing job definitions in the job storage. If it sees any update on the job definitions or new jobs it behaves accordingly. Business jobs are the job definitions found in job storage and designed to perform certain business actions. The business jobs can be notification jobs, KPI measuring jobs, and any other scheduled business jobs which should have their own scheduling interval.

    In this example project I specifically used KPI term as the business case just to make it more relevant.


    KPIJobWatcher class is responsible to schedule the observer job. In Spring application startup this is going to be our starting point to the scheduling service management.

    Spring Application Startup

    public class QSchedulerApplication {
    	public static void main(String[] args) {
    		SpringApplication.run(QSchedulerApplication.class, args);
    	Scheduler kpiScheduler;
    	public void onAppStartUp() {
    		try {
    			// initializing KPI Trigger
    			SchedulerFactory sf = new StdSchedulerFactory();
    			kpiScheduler = sf.getScheduler();
    			// watcher runs an observer job which monitors and manages KPI jobs
    			KPIJobWatcher watcher = new KPIJobWatcher(kpiScheduler);
    		} catch (Exception e) {

    KPIJobWatcher schedules the Observer job:

    public class KPIJobWatcher {
        private static final Logger logger = LoggerFactory.getLogger(KPIJobWatcher.class);
        Scheduler kpiScheduler;
        public KPIJobWatcher(Scheduler s) {
            kpiScheduler = s;
         * run KPIJobWatcher
         * @throws Exception
        public void run() throws Exception {
            try {
                // Setting the KPI Job factory of observerScheduler
                KPIJobFactory jf = new KPIJobFactory((StdScheduler)kpiScheduler);
                // Scheduling KPI Observer Job
                JobDetail observerJob = newJob(KPIObserverJob.class)
                        .withIdentity("observerJob", "observergroup")
                SimpleTrigger trigger = newTrigger()
                        .withIdentity(observerJob.getKey() + "_trigger", "observergroup")
                Date ft = kpiScheduler.scheduleJob(observerJob, trigger);
                logger.info(observerJob.getKey() + " has been scheduled to run at: " + ft);
                // Starting KPI Observer Scheduler
            } catch (Exception e) {

    Before moving on to observer job here I want to notice that you can use a custom JobFactory and attach it to the current scheduler object so that you can use custom jobs with custom constructors created within this custom JobFactory as part of the factory design pattern.


    public class KPIJobFactory implements JobFactory {
        Scheduler kpiScheduler;
        public KPIJobFactory(Scheduler s) {
            kpiScheduler = s;
        public KPIObserverJob newJob(TriggerFiredBundle bundle, Scheduler Scheduler) throws SchedulerException {
            JobDetail jobDetail = bundle.getJobDetail();
            Class<KPIObserverJob> jobClass = (Class<KPIObserverJob>) jobDetail.getJobClass();
            try {
                // this is how we construct our custom job with custom factory
                return jobClass.getConstructor(Scheduler.getClass()).newInstance(kpiScheduler);
            } catch (Exception e) {
            return null;

    Observer Job

    As suggested in the model above the observer job is triggered frequently and manages the overall scheduling job service in the background. I created the KPIObserverJob class as the observer job in this project and as you can see in the previous section KPIJobFactory creates instances of this observer job.


    Observer Job has some specific methods like ScheduleJob and UnscheduleJob to manage scheduling jobs.

    public class KPIObserverJob implements Job {
        private static final Logger logger = LoggerFactory.getLogger(KPIObserverJob.class);
        List<JobDetail> jobList;
        Scheduler kpiScheduler;
        public KPIObserverJob(StdScheduler s) {
            kpiScheduler = s;
        List<String> scheduledJobList;
        HashMap<String, JobDetail> alreadyScheduledJobList;
        public void execute(JobExecutionContext context) throws JobExecutionException {
            scheduledJobList = new ArrayList<String>();
            alreadyScheduledJobList = new HashMap<String, JobDetail>();
            //JobKey jobKey = context.getJobDetail().getKey();
            jobList = new ArrayList<JobDetail>();
            // Get all KPIs and create their jobs
            // Get the list of currently scheduled KPI jobs
            try {
                for (String groupName : kpiScheduler.getJobGroupNames()) {
                    for (JobKey jk : kpiScheduler.getJobKeys(GroupMatcher.jobGroupEquals(groupName))) {
                        String jobName = jk.getName();
                        String jobGroup = jk.getGroup();
                        JobDetail jd = kpiScheduler.getJobDetail(jk);
                        alreadyScheduledJobList.put(jobName, jd);
                        logger.info("already scheduled jobName {}", jobName);
            } catch (SchedulerException e) {
            // Schedule or unschedule KPI jobs if not done yet
            for (JobDetail job : jobList) {
                try {
                    if (!scheduledJobList.contains(job.getKey().getName()))
                        if (job.getJobDataMap().getInt("isRunning") == 1) {
                            logger.info("scheduling job: kpiJobName_{}", job.getJobDataMap().getString("kpiName"));
                    } else {
                        // Check any changes in the KPI job definition
                        JobDetail sJD = alreadyScheduledJobList.get("kpiJobName_" + job.getJobDataMap().getString("kpiName"));
                        if (!job.getJobDataMap().getString("cron").equals(sJD.getJobDataMap().getString("cron"))) {
                            logger.info("rescheduling job: kpiJobName {} , new cron: {}",
                                    job.getJobDataMap().getString("kpiName"), job.getJobDataMap().getString("cron"));
                        if (job.getJobDataMap().getInt("isRunning") == 0) {
                            logger.info("Unscheduling: kpiJobName {}" + job.getJobDataMap().getString("kpiName"));
                } catch (SchedulerException e) {
            // Finally unschedule deleted jobs if they are not listed anymore
            for (String kpiName : scheduledJobList) {
                boolean unschedule = true;
                if (!kpiName.equals("observerJob")) {
                    JobDetail toBeRemovedJob = null;
                    for (JobDetail jdetail : jobList) {
                        if (jdetail.getKey().getName().equals(kpiName)) {
                            unschedule = false;
                    if (unschedule) {
                        logger.info("Unscheduling: " + "kpiJobId" + kpiName.split("_")[1]);
        private static final Type KPI_JSON_TYPE = new TypeToken<List<KPI_JSON>>() {}.getType();
         * Create Quartz Scheduler jobs from the job records read from a data source
        private void CreateJobs() {
            Gson gson = new Gson();
            try {
                // kpi.json as a service data storage where we get KPI job data to be scheduled
                JsonReader reader = new JsonReader(new FileReader("kpi.json"));
                List<KPI_JSON> kpiList = gson.fromJson(reader, KPI_JSON_TYPE);
                for (KPI_JSON kpiItem : kpiList) {
                    logger.info("Found KPI in kpi.json: {} , enabled: {}", kpiItem.getName(), kpiItem.getIsRunning());
                    JobDetail job = newJob(KPIJSONJob.class)
                            .withIdentity("kpiJobName_" + kpiItem.getName(), "kpigroup")
                            .usingJobData("kpiName", kpiItem.getName())
                            .usingJobData("cron", kpiItem.getCron())
                            .usingJobData("lastRan", kpiItem.getLastRan())
                            .usingJobData("kpiDescription", kpiItem.getKpiDescription())
                            .usingJobData("lastMeasuredValue", kpiItem.getLastMeasuredValue())
                            .usingJobData("filename", kpiItem.getFilename())
                            .usingJobData("type", kpiItem.getType())
                            .usingJobData("isRunning", kpiItem.getIsRunning())
            } catch (Exception e) {
         * Schedule a job
         * @param job
         * @throws SchedulerException
        private void ScheduleJob(JobDetail job) throws SchedulerException {
            String cron = job.getJobDataMap().getString("cron");
            CronTrigger trigger = newTrigger()
                    .withIdentity(job.getKey().getName() + "_trigger", "kpigroup")
            Date ft = kpiScheduler.scheduleJob(job, trigger);
         * Unschedule a job
         * @param kpiName
        private void UnscheduleJob(String kpiName) {
            TriggerKey tk = new TriggerKey("kpiJobName_" + kpiName + "_trigger", "kpigroup");
            try {
                kpiScheduler.deleteJob(new JobKey("kpiJobName_" + kpiName, "kpigroup"));
            } catch (SchedulerException e) {

    Business Jobs

    Business jobs, as suggested in the model, can be any schedulable jobs. Managing/​updating the business jobs frequently is a key point here. As the enterprise demands grow and change continuously, KPIs are generated at intervals (daily, weekly, monthly, etc.) and for frequent notification needs this kind of scheduling job management can be an important part of a solution.

    Here I created KPIJSONJob as my business job:

    public class KPIJSONJob implements Job {
        private static final Logger logger = LoggerFactory.getLogger(KPIJSONJob.class);
        private KPI_JSON kpi;
        public void execute(JobExecutionContext context) throws JobExecutionException {
            JobDataMap dataMap = context.getJobDetail().getJobDataMap();
        public class KPIMeasured {
            public String name;
            public String value;
        private static final Type KPIMEASURED_TYPE = new TypeToken<List<KPIMeasured>>() {}.getType();
        protected void processKPI() {
            // processKPI is supposed to get the KPI measured value from an external datasource and updates kpi.json
            // ...

    Running this Solution

    Let’s give it a try and see it in action. Say we have the kpi.json as our job storage, with the following KPI jobs defined:

        "name": "critical_ticket_count",
        "type": "JSON_FILE",
        "cron": "0 0 1 ? * * *",
        "isRunning": 0,
        "lastRan": "2022-04-01 01:00:00",
        "kpiDescription": "Open critical ticket count",
        "lastMeasuredValue": "7",
        "filename": "kpi_measured.json"
        "name": "failed_customer_api_call",
        "type": "JSON_FILE",
        "cron": "0 0 2 ? * * *",
        "isRunning": 0,
        "lastRan": "2022-04-01 02:00:00",
        "kpiDescription": "Last 24-Hour failed API call count",
        "lastMeasuredValue": "23",
        "filename": "kpi_measured.json"

    When we run the Spring application it starts logging like below:

    2022-04-11 13:48:12.354  INFO 13033 --- [eduler_Worker-1] com.example.qscheduler.KPIObserverJob    : Found KPI in kpi.json: critical_ticket_count , enabled: 0
    2022-04-11 13:48:12.355  INFO 13033 --- [eduler_Worker-1] com.example.qscheduler.KPIObserverJob    : Found KPI in kpi.json: failed_customer_api_call , enabled: 0
    2022-04-11 13:48:12.355  INFO 13033 --- [eduler_Worker-1] com.example.qscheduler.KPIObserverJob    : already scheduled jobName observerJob

    Initially I set the isRunning attribute of those KPI jobs to 0 and my scheduler service is not scheduling them. My KPIObserverJob triggers every 10 seconds because I set it to trigger that way in KPIJobWatcher.

    Now let’s see if I update critical_ticket_count KPI’s isRunning value to 1:

    2022-04-11 13:52:32.347  INFO 13033 --- [eduler_Worker-7] com.example.qscheduler.KPIObserverJob    : Found KPI in kpi.json: critical_ticket_count , enabled: 1
    2022-04-11 13:52:32.348  INFO 13033 --- [eduler_Worker-7] com.example.qscheduler.KPIObserverJob    : Found KPI in kpi.json: failed_customer_api_call , enabled: 0
    2022-04-11 13:52:32.348  INFO 13033 --- [eduler_Worker-7] com.example.qscheduler.KPIObserverJob    : already scheduled jobName observerJob
    2022-04-11 13:52:32.349  INFO 13033 --- [eduler_Worker-7] com.example.qscheduler.KPIObserverJob    : scheduling job: kpiJobName_critical_ticket_count

    As you can see from the logs ObserverJob noticed the enabled job and scheduled it.

    Let’s change the cron scheduling rule of critical_ticket_count job to 0 0 3 ? * * * and see the logs again:

    2022-04-11 13:55:12.354  INFO 13033 --- [eduler_Worker-3] com.example.qscheduler.KPIObserverJob    : Found KPI in kpi.json: critical_ticket_count , enabled: 1
    2022-04-11 13:55:12.355  INFO 13033 --- [eduler_Worker-3] com.example.qscheduler.KPIObserverJob    : Found KPI in kpi.json: failed_customer_api_call , enabled: 0
    2022-04-11 13:55:12.356  INFO 13033 --- [eduler_Worker-3] com.example.qscheduler.KPIObserverJob    : already scheduled jobName observerJob
    2022-04-11 13:55:12.356  INFO 13033 --- [eduler_Worker-3] com.example.qscheduler.KPIObserverJob    : already scheduled jobName kpiJobName_critical_ticket_count
    2022-04-11 13:55:12.356  INFO 13033 --- [eduler_Worker-3] com.example.qscheduler.KPIObserverJob    : rescheduling job: kpiJobName critical_ticket_count , new cron: 0 0 3 ? * * *

    The Observer job now rescheduled the job since we changed its cron rule. These are all how we make observer job manage the KPI business jobs. If you have more attributes and if you want your observer job to reschedule or perform different operations on business job definition updates you should enrich your ObserverJob.

    Extend by Creating a Management UI

    Managing the scheduler jobs using a UI is not in the scope of this post. But that is not much different than managing any data on a web application. I encourage you to do your own implementations if this solution sounds useful to you.


    This solution helps you create your own scheduling job management solution on the fly and lets you create, update, or delete the Quartz Scheduler jobs dynamically.

    The complete implementation can be found in the GitHub project.

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