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Quartz scheduler
Quartz scheduler












  1. QUARTZ SCHEDULER CODE
  2. QUARTZ SCHEDULER DOWNLOAD

Import .config.YamlPropertiesFactoryBean Let's first see how our JobStore configuration class looks: package .quartzintro.scheduler : This property defines the prefix for the collections created for the purpose of storing Quartz-specific details.An example of how you would define this would be mongodb://. With this implementation, however, since we are defining a custom job store, we will not be using this property. : You will define the comma-separated MongoDB URIs here if you want to use the default MongoDBJobStore class.

quartz scheduler

By default, with the GitHub project mentioned before, we are provided with the MongoDBJobStore. For the purpose of this article, however, we will extend the functionality provided by this class with our own implementation, which will handle the MongoDB configuration based on Spring profiles.

  • : This defines the job store class that will handle storing job-related details in the database.
  • Others are self-explanatory with the comments provided. #The instance ID will be auto generated by Quartz for all nodes running in a cluster.

    QUARTZ SCHEDULER DOWNLOAD

    # Skip running a web request to determine if there is an updated version of Quartz available for download # Thread count setting is ignored by the MongoDB store but Quartz requires it # Will be used to create collections like quartz_jobs, quartz_triggers, quartz_calendars, quartz_locks # Comma separated list of mongodb hosts/replica set seeds (optional if '' is set)

    quartz scheduler

    # - # Note that all the mongo db configuration are set in the CustomMongoQuartzSchedulerJobStore.java class.

    quartz scheduler

    QUARTZ SCHEDULER CODE

    The GitHub repository with the code shown in this article can be found here.Īll quartz-related configuration is stored in a property file. We will be using a Spring Boot application to show you how we can integrate the Quartz library for scheduling in a clustered environment using MongoDB. Browsing through, I stumbled upon this GitHub repository by Michael Klishin that provides a MongoDB implementation of the Quartz library in a clustered environment. Although I have interacted with the library quite often in the past, it was the first time I had to use Quartz with MongoDB.īy default, Quartz only provides support for traditional relational databases. I am sure most of us have used the Quartz library to handle scheduled activity within our projects.














    Quartz scheduler