How to Execute Jobs in a Job Chain in Parallel

Scope

This article is about methods that can be used with the JobScheduler for executing jobs within a job chain at the same time.

See the How To Synchronize Job Execution Across Job Chains article for methods about synchronizing the execution of jobs in different Job Chains.

Methods for Parallel Execution within a Job Chain

There are a number of methods available for configuring the parallel execution of Jobs in a Job Chain.

Static configuration

For the static configuration of the parallel execution of different Jobs:

• • Using JITL split and join Jobs FEATURE AVAILABILITY STARTING FROM RELEASE 1.11.4 :
    • The Join Job is easier to configure and significantly faster than the Sync Job but can only be used within a Job Chain.
      See:
      
      • How to split and join jobs in a job chain
      • Example showing how to run parallel jobs repeatedly in a job chain
      • How to Nest Parallel Executing Jobs in a Job Chain
  • Using JITL split and sync Jobs:
    • The Sync Job is slightly more complex to configure and slower than the Join Job but can also be used to synchronize Jobs across Job Chains.
      See:
      
      • How To Synchronize Job Execution Across Job Chains
      • How to split and sync jobs in a job chain 

Dynamic configuration

For the static configuration of a dynamically set number of instances of a job that are to be executed in parallel:

• • Using Parallel Job Instances and JITL split and join Jobs:
    • How to split and join a dynamic number of job instances in a job chain
    • How to split and join a dynamic number of job instances for execution with Agents

See also

• For more information about configuring workflow dependencies see also:
  • Use Cases - Dependency Patterns
  • How to Serialize the Execution of Jobs and Orders
  • How to Configure Backward Dependencies in Jobs and Job Chains

Further Resources

Frequently Asked Questions

Examples in detail

Troubleshooting