Job Scheduling in Java

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Tutorial: Job Scheduling in Java

In this article we will see how Java developers can implement such a requirement using the standard Java Timer API, and then we will focus on Quartz, an open source library for those who need some extra features in their scheduling system.Job Scheduling i

Tutorial Details:

Almost every business application has some reports and statistics that are needed by its users. You can hardly imagine such a system without these reports, because the common purpose for someone to invest in such a system is the ability to collect a large amount of data and see it in a manner that can help with further business planning. A problem that can exist in creating these reports is the large amount of data that needs to be processed, which would generally put a heavy load on the database system. This heavy load decreases overall application performance and affects users that only use the system for data collecting, making it practically useless while it\'s generating the reports. Also, if we think about being user-friendly, a report that takes ten minutes to generate is not an example of a good response time.The good news is that most reports fall into this category -- statistics on some product sales in last June, or company income in January. For these cacheable reports, a simple solution is possible: schedule report creation for times when the system is idle, or at least when the load on the database system is minimal. Let\'s say that you are creating an application for a local book reseller that has many offices (all in the same time zone) and that you need to generate a (possibly large) report for weekly income. You could schedule this task of generating necessary data for a time when the system isn\'t being used, such as every Sunday at midnight, and cache it in the database. This way, no sale operators will notice any performance problem in your application and company management will have all necessary data in a moment.

A second example that I will mention here is sending all kinds of notifications to application users, such as account expirations. This could be done using date fields in the user\'s data row, and creating a thread to check users on that condition, but using a scheduler in this case is surely a more elegant solution, and better from the aspect of overall system architecture (and that\'s important, right?). In a complex system you would have a lot of these notifications, and could find that you need a scheduler-like behavior in many other cases, so building a specific solution for every case makes a system harder to change and maintain. Instead, you should use one API to handle all of your application scheduling. That is the topic of the rest of this article.

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