Running actions in parallel

At this step, you may have understood that various use cases may lead multiple actions of a job to be started in parallel.

Make sure to be aware of this powerful feature, as it can have an important drawback: running tons of tasks in parallel may quickly result in overloading your server CPU!. To avoid that issue, jobs define a "Max. Parallel Tasks" parameter that you define to tell the internal queue to never run more than XX action instances at the same time.


Let's have a look at the internal job used for extracting images thumbnails and exif metadata:

Now imagine that a user is uploading 1000 JPG images to Cells at once.

  • Input trigger could eventually receive 1000 "Create Node" events in a very short period of time
  • For all these images both "Create Thumbs" and "Extract EXIF" will be launched in parallel. These actions require reading the entire file and manipulating image pixels, and are CPU-heavy.

Without any restrictions, you could end up having Cells processing 2000 heavy-load actions concurrently! If you notice the Max. Parallel Tasks: 5 value, we avoid this by batch-processing images only 5 by 5.

Of course, if you have dimensioned your server CPU/RAM to handle super high load, you could decide to raise this value to accelerate thumbnails generation (within acceptable limits for your hardware).

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