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Scheduler deployment steps

  1. Start ElasticJob-Cloud-Scheduler and Mesos, and specify ZooKeeper as the registry.
  2. Start Mesos Master and Mesos Agent.
  3. Unzip elasticjob-cloud-scheduler-${version}.tar.gz.
  4. Run bin\start.sh to start ElasticJob-Cloud-Scheduler.

Job deployment steps

  1. Ensure that ZooKeeper, Mesos Master/Agent and ElasticJob-Cloud-Scheduler have been started correctly.
  2. Place the tar.gz file of the packaging job in a network accessible location, such as ftp or http. The main method in the packaged tar.gz file needs to call the JobBootstrap.execute method provided by ElasticJob-Cloud.
  3. Use curl command to call RESTful API to publish applications and register jobs. For details: Configuration

Scheduler configuration steps

Modify the conf\elasticjob-cloud-scheduler.properties to change the system configuration.

Configuration description:

Attribute Name Required Default Description
hostname yes The real IP or hostname of the server, cannot be 127.0.0.1 or localhost
user no User name used by Mesos framework
mesos_url yes zk://127.0.0.1:2181/mesos Zookeeper url used by Mesos
zk_servers yes 127.0.0.1:2181 Zookeeper address used by ElasticJob-Cloud
zk_namespace no elasticjob-cloud Zookeeper namespace used by ElasticJob-Cloud
zk_digest no Zookeeper digest used by ElasticJob-Cloud
http_port yes 8899 Port used by RESTful API
job_state_queue_size yes 10000 The maximum value of the accumulation job, the accumulation job exceeding this threshold will be discarded. Too large value may cause ZooKeeper to become unresponsive, and should be adjusted according to the actual measurement
event_trace_rdb_driver no Driver of Job event tracking database
event_trace_rdb_url no Url of Job event tracking database
event_trace_rdb_username no Username of Job event tracking database
event_trace_rdb_password no Password of Job event tracking database
auth_username no root API authentication username
auth_password no pwd API authentication password

  • Stop: No stop script is provided, you can directly use the kill command to terminate the process.