I am using Quartz in my Spring web application.
I successfully configured everything in cluster environment where quartz will pick its JOBS firing properly.
Now one of my JOB is big and will take so much resource and time. So can i share the JOB between nodes so that same JOB is executed on two nodes in a clustered way, Not different triggers ?
Or there any other ways to achieve this ?
Thanks
Quartz provides feature to trigger jobs. What you do inside in not quartz's responsibility.
Depending upon what your job is doing you can look to divide into smaller jobs and then cluster will help.
If you provide more info then we can help.
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I am writing a spring batch application which should only run one Job Instance at a time. This should also be true if multiple application instances are started. Sadly, the jobs can’t be parallelized and are invoked at random.
So, what I am looking for is a spring boot configuration which allows me to synchronize the job execution within one processor as well as in the distributed case. I have already found some approaches like the JobLauncherSynchronizer (https://docs.spring.io/spring-batch-admin/trunk/apidocs/org/springframework/batch/admin/launch/JobLauncherSynchronizer.html) but all the solutions I have found work either only on one processor or protect just a fraction of the job execution.
Is there any spring boot configuration which prevents multiple concurrent executions of the same job, even across multiple concurrently running application instances (which share the same database)?
Thank you in advance.
Is there any spring boot configuration which prevents multiple concurrent executions of the same job, even across multiple concurrently running application instances (which share the same database)?
Not to my knowledge. If you really want to have a global synchronization at the job level (ie a single job instance at a time), you need a global synchronizer like the JobLauncherSynchronizer you linked to.
I have many jobs with Quartz Schedule and I execute in my java app.
(one event on my webapp active a job to run)
My webapp runs in 4 machines with two instances each, so:
how can i make sure that the same job does not run 2 times on 2 different machines?
and how i make sure tha there are no problems with persistence in the database?
You can configure Quartz clustering with JDBC-JobStore. Basically all your instances should share the same database, and Quartz will ensure that only one instance will run a specific job. More info can be found here
I am implementing Quartz scheduler with JDBC JobStore in Spring. I have a use case, where if my application crashes and it has jobs to be executed within time frame between the crash and restart of the scheduler. My approach is to compare nextExecutionTime for all jobs with the current time at startup of the scheduler and if the nextExecutionTime is less than the current time, execute the job.
But I have a strong notion that there is a nicer way to get this job done. Either supported by Quartz or already implemented by someone. Can you suggest a better approach for this?
Does the misfire instruction feature do what you want? See the tutorial at Quartz Tutorial Lesson 4 and more specifically Example - Job Misfires You probably need to call withMisfireHandlingInstructionFireNow() when you build your trigger.
I'm working on an application that uses Quartz for scheduling Jobs. The Jobs to be scheduled are created programmatically by reading a properties file. My question is: if I have a cluster of several nodes which of these should create schedules programmatically? Only one of these? Or maybe all?
i have used quartz in a web app, where users, among other things, could create quartz jobs that performed certain tasks.
We have had no problems on that app provided that at least the job names are different for each job. You can also have different group names, and if i remember correctly the jobgroup+jobname combination forms a job key.
Anyway we had no problem with creating an running the jobs from different nodes, but quartz at the time(some 6 months ago, i do not believe this has changed but i am not sure) did not offer the possibility to stop jobs in the cluster, it only could stop jobs on the node the stop command was executed on.
If instead you just want to create a fixed number of jobs when the application starts you better delegate that job to one of the nodes, as the jobs name/group will be read from the same properties file for each node, and conflicts will arise.
Have you tried creating them on all of them? I think you would get some conflict because of duplicate names.
So I think one of the members should create the schedules during startup.
You should only have one system scheduling jobs for the cluster if they are predefined in properties like you say. If all of the systems did it you would needlessly recreate the jobs and maybe put them in a weird state if every server made or deleted the same jobs and triggers.
You could simply only deploy the properties for the jobs to one server and then only one server would try to create them.
You could make a separate app that has the purpose of scheduling the jobs and only run it once.
If these are web servers you could make a simple secured REST API that triggers the scheduling process. Then you could write an automated script to access the API and kick off the scheduling of jobs as part of a deployment or whenever else you desired. If you have multiple servers behind a load balancer it should go to only one server and schedule the jobs which quartz would save to the database backed jobstore. The other nodes in the cluster would receive them the next time they update from the database.
I'm using Quartz together with Spring. The JobStore that I'm using is the RAMJobStore.
I create a couple of jobs with the same identification (they have the same instance definition (JobDetail)). Because I want to make sure that these jobs aren't executed in parallel, I annotated their job class with #DisallowConcurrentExecution.
My problem is that the RAMJobStore doesn't allow more than one job with the same identification in the same time in the store, so when I try to add the job I get the exception:
org.quartz.ObjectAlreadyExistsException: Unable to store Job :
'jobX', because one already exists with this identification.
Do you have any idea about how I can overcome this problem?
Thanks a lot!
If you have two different jobs that are running on two different triggers, then I'm not aware of any Quartz annotations that would prevent the two jobs from running in parallel. You could reference the Scheduler instance in each of the jobs to determine if the other job is executing. Then you could pause or reschedule jobs to prevent them from running in parallel.
It is clear from the RAMJobStore source code that there can't be two jobs with the same key in the same time in the RAMJobStore.
Have a look here at the source code.