Quartz can store jobs on database so its not volatile.
But if i have two application(web-application and web service) ,
how can i share this store between applications.
That is if one application select a job to run other application informed.And when one application fail it will continue to run
I realise this is a late reply, but for anyone else who might find this useful...
Quartz is designed with clustered environments in mind, specifically for what you're asking. You can point both of your applications (web service and web application) to the same Quartz job database, and Quartz itself will manage locking the jobs so that they still only run according to their schedule.
In your Quartz config make sure you're using:
org.quartz.jobStore.class=org.quartz.impl.jdbcjobstore.JobStoreTX
... And then duplicate the Quartz setup across both your applications, ensuring they both point to the same database.
I think it should take care of itself! Search for "Quartz clustering" if you need more info.
Related
What is the internal mechanism for persisting data using Quartz Scheduler?
I went through internet but didn't find clear description.
It would be great if you suggest the same to work in hibernate platform.
When you use Quartz Scheduler in your project you should have a file for its properties which is called quartz.properties. In this file you should determine your persistence mechanism by using parameter: org.quartz.jobStore.class
The value for this parameter can be the followings:
org.quartz.impl.jdbcjobstore.JobStoreCMT: it means that you want to persist in a database and transactions are managed by a container (Like Weblogic, JBoss, ...)
org.quartz.impl.jdbcjobstore.JobStoreTX: it means that you want to persist in a database and transactions are NOT managed by a container. this option is used mostly when you run Quartz Scheduler as a standing alone application.
org.quartz.simpl.RAMJobStore: This option actually is not recommended in production environment because according this parameter Quartz persists jobs and triggers just in RAM!
org.terracotta.quartz.TerracottaJobStore: The last option is using Terracotta Server as your persistence unit, Quartz says that it is the fastest way.
I myself prefer first option, it is straightforward and more reliable I think.
You can read more about this configuration here.
And about hibernate, quartz will manage the persistence tasks, like rollback and persist, and you wont being involved in this process.
Exploring (Ado)JobStore (data base job store in general) I met subjects like clustering, load balancing and sharing jobs' work data state across multiple applications.
But I think I didn't find a JobStore subject that covers my scenario.
I need to run Quartz Jobs in Windows Service and I need to be able to change configuration of Triggers in other application (in Admin panel in web application) and the Triggers to be applied by the Quartz in my Windows Service automatically (Quartz tracks changes and applies them).
Is it possible to do this by using AdoJobStore/Clustering mechanism? I mean in terms of JobStore's features, so by using Quartz scheduler API. Not by using SQL and changing data in Quartz tables directly or any other workarounds (according to Quartz's Best Practices doc).
The Quartz.NET scheduler can be accessed remotely, independently of job stores. Since you already have a web app you can add a reference to the remote scheduler and use the API to administer jobs, triggers etc.
I'd like to develop a bunch of SaaS-Applications in Java and I'm not sure wat is the best way to go.
Each Application will have a WAR containing the Webservice and will have at least one Worker-WAR, which is a Thread waiting for new Tasks in the DB to come up and then working off this task. This worker contains the intelligence of the application and uses a lot of cpu. The Webservice gives Users the possibility to add new tasks and other stuff ...
Resource Limitations
The infrastructure must ensure the following:
The Webservice must always get a certain amount of cpu time to be able to respond to the user. So the hungry Worker must not get all cpu time for its working.
Each Tenant has its own worker and they must not interfere with each other as it must be not possible to block the whole system (and all tenants) with a single task.
Resource Sharing
It would be nice to be able to share the resources but always ensure that in extreme situations every worker and webservice gets the required minimum.
Versioning
As new Versions of a application are released each tenant must have the possibility to initiate a update on its own when he adapted to the API-Changes. Furthermore a tenant must be able to keep more than one application-endpoint (lets call them channels) to have a production channel and a beta-channel. In the Beta-Channel the tenant can test againts new versions and when he feels comfortable with the new version he can update his production channel.
User-Management
All applications of a tenant must share a user-Database and have the same way to authenticate.
Environment
I want to use Java EE 7. I would enjoy using Wildfly.
Question
What is the best infrastructure to approach these aims? I want to host this on my own servers.
What I already found
I understand that you cannot limit CPU-usage in a jvm. So the Workers must have their own jvms.
I looked at PaaS-Providers like OpenShift Origin, but it seems that they encourage you to run a application-server per tenant, per application which sounds to me as a resource-eater.
Is there no way to have one Wildfly running and limit the amount cpu-usage per tenant and app?
Thank You
Lukas
I have two web applications living on the same Tomcat installation, in which I would like to implement Quartz 1.x such that each web app only serves a single jobgroup in a shared Quartz data store.
Is it possible to configure a Quartz instance to serve (or ignore) specific group set?
No, but you can create multiple quartz instances, and only put certain job groups in each (and then it will of course only fire certain job groups).
I've been playing with examples I downloaded with the book Drools JBoss Rules 5.0. To my relief they work :) Drools Flow has been my point of interest as a possible workflow engine replacement.
As I'm trying to wrap my head around things, I've been wondering how a premature death of a rulesflow process gets restarted? What I'm mean is say a process is bouncing from one node to another like expected, then the containing process dies due to a crash, restart or whatever. Is the current node/place of the ruleflow process retained, and can it just continue from that point on system restart? If so how?
The group I work for is very Java EE centric with JBoss being our favorite application server. I see examples of Drools leveraging Spring's persistence and bean lookup support.
Are there examples of doing the same with JBoss?
If you persist the state of the process instances and tasks in the database. Even if the VM was down and restart again, you can retrieve the process instances.
Use the
To create the session
ksession = JPAKnowledgeService.newStatefulKnowledgeSession(kbase,null,env)
To load the session with the session id.
ksession = JPAKnowledgeService.loadStatefulKnowledgeSession( sessionId, kbase,
You only need to know the session id. Session information will be store in SessionInfo table. Download the example project below.
http://dl.dropbox.com/u/2634115/drools-test.zip
The example is using Btm with H2 database, it also work well with mysql-connector-java-5.1.13 with Btm. Note that the process that are complete will be automatically deleted from the database.
You are looking at the basic concept of Process Migration. During what is known as strong migration, a process can be stopped on one machine and the entire state of the process migrated to another machine (including the program counter and all existing stacks). Before you go thinking that this is completely insane, think about this from a JVM perspective. Since you're application is already being run in virtual hardware; it isn't hard to stop the application and pick it back up where it left off since it is completely virtualized.
If you would like another example, look at VMWare; an entire machine can be paused and migrated to another machine and started again. It's very interesting stuff and usually relates mainly to Distributed Computing where you might have hundreds of agents that need to migrate from machine to machine as some go down for maintenance.
I realize that I didn't give an example of this through JBoss; but giving a background on what exactly you're looking for can give you a much better insight into what to look for going forward.