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Scheduler wiki!

1. About
2. Use-cases

About

Scheduler is production-grade Job Scheduling System. Here, "job" term corresponds to any system process (for example: Python process, Hadoop map-reduce job, etc) that is started and monitored by Scheduler means.

There are two types of processes:

• cron-like jobs govern by timer. They are known to the system as free-run
• managed jobs that are govern by state machine. Such jobs could have multiple dependencies on other jobs

Synergy Scheduler hosts multiple state-machines. Each process is allowed to chose its governing state machine, that supervises job's life-cycle: from STATE_EMBRYO thru STATE_IN_PROGRESS and STATE_FINAL_RUN to STATE_PROCESSED (or STATE_SKIPPED in case of a failure). Most likely that multiple tasks (or unit_of_work) will be issued during job's life-span. They also have multiple states and cover task life-cycle: from state STATE_REQUESTED thru STATE_IN_PROGRESS to either STATE_PROCESSED or STATE_CANCELED or STATE_INVALID.

Use-cases

1. Installation Go to
2. General principles of work Go to
3. State Machine Diagram: continuous Go to
4. State Machine Diagram: discrete Go to
5. State Machine Diagram: simplified discrete Go to
6. Lifecycle for unit_of_work Go to
7. Scheduler MX Go to
8. Process Supervisor Go to
9. Know-how: site_hourly_aggregator is configured and works Go to
10. Know-how: add a new tree/process Go to