tar_backoff | R Documentation |
Configure exponential backoff while polling for tasks during the pipeline.
tar_backoff(min = 0.001, max = 0.1, rate = 1.5)
min |
Positive numeric of length 1,
minimum polling interval in seconds.
Must be at least |
max |
Positive numeric of length 1,
maximum polling interval in seconds.
Must be at least |
rate |
Positive numeric of length 1, greater than or equal to 1.
Multiplicative rate parameter that allows the exponential backoff
minimum polling interval to increase from |
This function is for advanced usage only. Most users
should not need to modify the default exponential backoff.
To configure exponential backoff for a pipeline,
supply the output of tar_backoff()
to the backoff
argument
of tar_option_set()
in the _targets.R
file. See the Backoff
section of the help file for details.
In high-performance computing it can be expensive to repeatedly poll the
priority queue if no targets are ready to process. The number of seconds
between polls is runif(1, min, max(max, min * rate ^ index))
,
where index
is the number of consecutive polls so far that found
no targets ready to skip or run, and min
, max
, and rate
are arguments to tar_backoff()
.
(If no target is ready, index
goes up by 1. If a target is ready,
index
resets to 0. For more information on exponential,
backoff, visit https://en.wikipedia.org/wiki/Exponential_backoff).
Raising min
or max
is kinder to the CPU etc. but may incur delays
in some instances.
Other utilities:
tar_active()
,
tar_call()
,
tar_cancel()
,
tar_definition()
,
tar_envir()
,
tar_group()
,
tar_name()
,
tar_path_script_support()
,
tar_path_script()
,
tar_path_store()
,
tar_path_target()
,
tar_path()
,
tar_seed()
,
tar_source()
,
tar_store()
if (identical(Sys.getenv("TAR_EXAMPLES"), "true")) { # for CRAN
tar_dir({ # tar_dir() runs code from a temp dir for CRAN.
tar_option_set(backoff = tar_backoff(min = 0.001, max = 0.1, rate = 1.5))
})
}
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