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• Use Case
  • Run parts of a job chain in parallel, i.e.
    
    • split jobs for parallel processing
    .
    • ,
    • join up jobs after parallel processing.
• Solution Outline
  • Two standard JITL Jobs are provided for this:
    • JobSchedulerJobChainSplitter
      split an
      • splits an incoming order into multiple orders that are
      running
      • run in parallel through a job chain within a range of predefined job chain nodes.
    • JobSchedulerJoinOrders
      
      • joins the
      join the
      • orders that have previously been split in a job chain node, i.e. this job forces any split orders to complete to this job chain node before processing continues.
• References
  • How to Execute Jobs in a Job Chain in Parallel for an overview of the methods available for Parallel Execution within a Job Chain
  • Example showing how to set up a splitter jobExample for parallel execution

Solution

• Download split_join.zip
• Extract the archive to a folder ./config/live of your JobScheduler Master installation.
• The archive will extract the files to a folder split_join. 
• You can store save the sample files to a in any folder as you like, the solution does not make require the use of specific folder names or job names. Job names can be freely chosen, with the exception of JITL jobs - which here are JobChainSplitter and join.

Pattern

job_chain [label="Job Chain",fillcolor="orange"]
job_1 [label="Job 1",fillcolor="lightskyblue"]
job_2 [label="Job 2",fillcolor="lightskyblue"]
job_split [label="Job Split",fillcolor="lightskyblue"]
job_3 [label="Job 3",fillcolor="lightskyblue"]
job_3a [label="Job 3a",fillcolor="lightskyblue"]
job_4 [label="Job 4",fillcolor="lightskyblue"]
job_4a [label="Job 4a",fillcolor="lightskyblue"]
job_5 [label="Job 5",fillcolor="lightskyblue"]
job_join [label="Job Join",fillcolor="lightskyblue"]

job_chain -> job_1
job_1 -> job_2
job_2 -> job_split
job_split -> job_3
job_split -> job_4
job_3 -> job_3a -> job_join
job_4 -> job_4a -> job_join
job_join -> job_5

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