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We can keep maintenance simple using a single "task wrapper file", called in multiple contexts, for multiple tasks. It can be seen as a single task in research mode, for example, while it is used to generate multiple jobs in parallel in operation so we can get the expected data faster, still respecting the blocks that cannot be run in parallel, calling the task again as a single exclusive job:
%manual
%end
%include <head.h>
if [[ %PARALLEL:1% == 1 ]]; then
for param in %PARAM:2t u v rh%; do
# process: create ${param}.grib
done
fi
if [[ %SERIAL:1% == 1 ]]; then
for param in %PARAM:2t u v rh%; do
# push into fields data base
done
fi
%include <tail.h>
suite example
# task process; # research mode, call one task do-it-all
# operational mode: split parallel and serial blocks:
family parallel
edit PARALLEL 1
edit SERIAL 0
limit mutex 1
limit count 5
inlimit count
family 2t
edit PARAM 2t
task process
endfamily
family u
edit PARAM u
task process
endfamily
family v
edit PARAM v
task process
endfamily
family rh
edit PARAM rh
task process
endfamily
endfamily # parallel
family serial
trigger parallel eq complete
inlimit mutex
edit PARALLEL 0
edit SERIAL 1
task process
A real case example is given by the family ensms (ensemble mean statistics) where few parameters and multiple level shall generate tasks and grib files in parallel, while a single task by the end moves the grib files into the fields data base ("limit em 1" is used as a mutex)
