Distributed Job
Evenly scalable job
Distributed Job is the opposite of Simple Job. The number of instances you specify on a distributed job is calculated cluster wide, lets say, you configured a distributed job with 10 instances, the platform will use its best effort to distribute the job cluster wide without exceeding the instance count in total.
Distributed jobs are generally used to distribute your work load and utilize the cluster's CPU ad Memory very efficiently. Also, generally distributed jobs are designed to run for ever.
Updated about 5 years ago