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Run pipeline

Source: R/aliases.R
pipe_run.Rd

Runs all new and/or outdated pipeline steps.

Usage

pipe_run(
  pip,
  force = FALSE,
  recursive = TRUE,
  cleanUnkept = FALSE,
  progress = NULL,
  showLog = TRUE
)

Arguments

pip

Pipeline object

force

logical if TRUE all steps are run regardless of whether they are outdated or not.

recursive

logical if TRUE and a step returns a new pipeline, the run of the current pipeline is aborted and the new pipeline is run recursively.

cleanUnkept

logical if TRUE all output that was not marked to be kept is removed after the pipeline run. This option can be useful if temporary results require a lot of memory.

progress

function this parameter can be used to provide a custom progress function of the form function(value, detail), which will show the progress of the pipeline run for each step, where value is the current step number and detail is the name of the step.

showLog

logical should the steps be logged during the pipeline run?

Value

returns the Pipeline object invisibly

Lifecycle

Deprecated. Legacy API. Use pip_run() instead.

Examples

# Simple pipeline
p <- pipe_new("pipe", data = 1)
pipe_add(p, "add1", \(x = ~data, y = 1) x + y)
pipe_add(p, "add2", \(x = ~add1, z = 2) x + z)
pipe_add(p, "final", \(x = ~add1, y = ~add2) x * y, keepOut = TRUE)
p |>
  pipe_run() |>
  pipe_collect_out()
#> INFO  [2026-06-20 21:18:59.002] Start run of 'pipe' pipeline:
#> INFO  [2026-06-20 21:18:59.004] Step 1/4 data
#> INFO  [2026-06-20 21:18:59.008] Step 2/4 add1
#> INFO  [2026-06-20 21:18:59.011] Step 3/4 add2
#> INFO  [2026-06-20 21:18:59.014] Step 4/4 final
#> INFO  [2026-06-20 21:18:59.015] Finished execution of steps.
#> INFO  [2026-06-20 21:18:59.016] Done.
#> $final
#> [1] 8
#> 
pipe_set_params(p, list(z = 4))  # outdates steps add2 and final
p
#>      step   depends    out keepOut  group    state
#>    <char>    <list> <list>  <lgcl> <char>   <char>
#> 1:   data                1   FALSE   data     Done
#> 2:   add1      data      2   FALSE   add1     Done
#> 3:   add2      add1      4   FALSE   add2 Outdated
#> 4:  final add1,add2      8    TRUE  final Outdated

p |> pipe_run() |> pipe_collect_out()
#> INFO  [2026-06-20 21:18:59.025] Start run of 'pipe' pipeline:
#> INFO  [2026-06-20 21:18:59.027] Step 1/4 data - skip 'done' step
#> INFO  [2026-06-20 21:18:59.028] Step 2/4 add1 - skip 'done' step
#> INFO  [2026-06-20 21:18:59.029] Step 3/4 add2
#> INFO  [2026-06-20 21:18:59.031] Step 4/4 final
#> INFO  [2026-06-20 21:18:59.033] Finished execution of steps.
#> INFO  [2026-06-20 21:18:59.034] Done.
#> $final
#> [1] 12
#> 

pipe_run(p, cleanUnkept = TRUE)
#> INFO  [2026-06-20 21:18:59.036] Start run of 'pipe' pipeline:
#> INFO  [2026-06-20 21:18:59.037] Step 1/4 data - skip 'done' step
#> INFO  [2026-06-20 21:18:59.039] Step 2/4 add1 - skip 'done' step
#> INFO  [2026-06-20 21:18:59.041] Step 3/4 add2 - skip 'done' step
#> INFO  [2026-06-20 21:18:59.044] Step 4/4 final - skip 'done' step
#> INFO  [2026-06-20 21:18:59.045] Finished execution of steps.
#> INFO  [2026-06-20 21:18:59.046] Clean temporary results.
#> INFO  [2026-06-20 21:18:59.047] Done.
p
#>      step   depends    out keepOut  group    state
#>    <char>    <list> <list>  <lgcl> <char>   <char>
#> 1:   data           [NULL]   FALSE   data Outdated
#> 2:   add1      data [NULL]   FALSE   add1 Outdated
#> 3:   add2      add1 [NULL]   FALSE   add2 Outdated
#> 4:  final add1,add2     12    TRUE  final     Done

# Recursive pipeline (for advanced users)
p <- pipe_new("pipe", data = 1)
pipe_add(p, "add1", \(x = ~data, y = 1) x + y)
pipe_add(p, "new_pipe", \(x = ~add1) {
    p2 <- pipe_new("new_pipe", data = x)
    pipe_add(p2, "add1", \(x = ~data) x + 1)
    pipe_add(p2, "add2", \(x = ~add1) x + 2, keepOut = TRUE)
  }
)
p |> pipe_run() |> pipe_collect_out()
#> INFO  [2026-06-20 21:18:59.059] Start run of 'pipe' pipeline:
#> INFO  [2026-06-20 21:18:59.060] Step 1/3 data
#> INFO  [2026-06-20 21:18:59.063] Step 2/3 add1
#> INFO  [2026-06-20 21:18:59.065] Step 3/3 new_pipe
#> INFO  [2026-06-20 21:18:59.071] Abort pipeline execution and restart on new.
#> INFO  [2026-06-20 21:18:59.072] Start run of 'new_pipe' pipeline:
#> INFO  [2026-06-20 21:18:59.075] Step 1/3 data
#> INFO  [2026-06-20 21:18:59.078] Step 2/3 add1
#> INFO  [2026-06-20 21:18:59.080] Step 3/3 add2
#> INFO  [2026-06-20 21:18:59.081] Finished execution of steps.
#> INFO  [2026-06-20 21:18:59.082] Done.
#> $add2
#> [1] 5
#> 

# Run pipeline with progress bar
p <- pipe_new("pipe", data = 1)
pipe_add(p, "first step", \() Sys.sleep(0.5))
pipe_add(p, "second step", \() Sys.sleep(0.5))
pipe_add(p, "last step", \() Sys.sleep(0.5))
pb <- txtProgressBar(min = 1, max = pipe_length(p), style = 3)
fprogress <- function(value, detail) {
   setTxtProgressBar(pb, value)
}
pipe_run(p, progress = fprogress, showLog = FALSE)
#> 
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