Package 'crew'

Title: A Distributed Worker Launcher Framework
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Authors: William Michael Landau [aut, cre] , Daniel Woodie [ctb], Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <[email protected]>
License: MIT + file LICENSE
Version: 0.10.2.9001
Built: 2024-11-21 20:29:39 UTC
Source: https://github.com/wlandau/crew

Help Index


crew: a distributed worker launcher framework

Description

In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The NNG-powered mirai R package is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The crew package extends mirai with a unifying interface for third-party worker launchers. Inspiration also comes from packages future, rrq, clustermq, and batchtools.


Crew assertion

Description

Assert that a condition is true.

Usage

crew_assert(value = NULL, ..., message = NULL, envir = parent.frame())

Arguments

value

An object or condition.

...

Conditions that use the "." symbol to refer to the object.

message

Optional message to print on error.

envir

Environment to evaluate the condition.

Value

NULL (invisibly). Throws an error if the condition is not true.

See Also

Other utility: crew_clean(), crew_deprecate(), crew_eval(), crew_random_name(), crew_retry(), crew_terminate_process(), crew_terminate_signal(), crew_worker()

Examples

crew_assert(1 < 2)
crew_assert("object", !anyNA(.), nzchar(.))
tryCatch(
  crew_assert(2 < 1),
  crew_error = function(condition) message("false")
)

Local asynchronous client object.

Description

Create an R6 object to manage local asynchronous quick tasks with error detection.

Usage

crew_async(workers = NULL)

Arguments

workers

Number of local mirai daemons to run asynchronous tasks. If NULL, then tasks will be evaluated synchronously.

Details

crew_async() objects are created inside launchers to allow launcher plugins to run local tasks asynchronously, such as calls to cloud APIs to launch serious remote workers.

Value

An R6 async client object.

See Also

Other async: crew_class_async

Examples

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
x <- crew_async()
x$start()
out <- x$eval(1 + 1)
mirai::call_mirai_(out)
out$data # 2
x$terminate()
}

R6 async class.

Description

R6 class for async configuration.

Details

See crew_async().

Active bindings

workers

See crew_async().

instance

Name of the current instance.

Methods

Public methods


Method new()

TLS configuration constructor.

Usage
crew_class_async$new(workers = NULL)
Arguments
workers

Argument passed from crew_async().

Returns

An R6 object with TLS configuration.


Method validate()

Validate the object.

Usage
crew_class_async$validate()
Returns

NULL (invisibly).


Method start()

Start the local workers and error handling socket.

Usage
crew_class_async$start()
Details

Does not create workers or an error handling socket if workers is NULL or the object is already started.

Returns

NULL (invisibly).


Method terminate()

Start the local workers and error handling socket.

Usage
crew_class_async$terminate()
Details

Waits for existing tasks to complete first.

Returns

NULL (invisibly).


Method started()

Show whether the object is started.

Usage
crew_class_async$started()
Returns

Logical of length 1, whether the object is started.


Method asynchronous()

Show whether the object is asynchronous (has real workers).

Usage
crew_class_async$asynchronous()
Returns

Logical of length 1, whether the object is asynchronous.


Method eval()

Run a local asynchronous task using a local compute profile.

Usage
crew_class_async$eval(
  command,
  substitute = TRUE,
  data = list(),
  packages = character(0L),
  library = NULL
)
Arguments
command

R code to run.

substitute

Logical of length 1, whether to substitute command. If FALSE, then command must be an expression object or language object.

data

Named list of data objects required to run command.

packages

Character vector of packages to load.

library

Character vector of library paths to load the packages from.

Details

Used for launcher plugins with asynchronous launches and terminations. If processes is NULL, the task will run locally. Otherwise, the task will run on a local process in the local mirai compute profile.

Returns

If the processes field is NULL, a list with an object named data containing the result of evaluating expr synchronously. Otherwise, the task is evaluated asynchronously, and the result is a mirai task object. Either way, the data element of the return value will contain the result of the task.

See Also

Other async: crew_async()


R6 client class.

Description

R6 class for mirai clients.

Details

See crew_client().

Active bindings

name

See crew_client().

workers

See crew_client().

host

See crew_client().

port

See crew_client().

tls

See crew_client().

seconds_interval

See crew_client().

seconds_timeout

See crew_client().

retry_tasks

See crew_client()

relay

Relay object for event-driven programming on a downstream condition variable.

started

Whether the client is started.

client

Process ID of the local process running the client.

dispatcher

Process ID of the mirai dispatcher

Methods

Public methods


Method new()

mirai client constructor.

Usage
crew_class_client$new(
  name = NULL,
  workers = NULL,
  host = NULL,
  port = NULL,
  tls = NULL,
  seconds_interval = NULL,
  seconds_timeout = NULL,
  retry_tasks = NULL,
  relay = NULL
)
Arguments
name

Argument passed from crew_client().

workers

Argument passed from crew_client().

host

Argument passed from crew_client().

port

Argument passed from crew_client().

tls

Argument passed from crew_client().

seconds_interval

Argument passed from crew_client().

seconds_timeout

Argument passed from crew_client().

retry_tasks

Argument passed from crew_client().

relay

Argument passed from crew_client().

Returns

An R6 object with the client.

Examples
if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
client$start()
client$log()
client$terminate()
}

Method validate()

Validate the client.

Usage
crew_class_client$validate()
Returns

NULL (invisibly).


Method start()

Start listening for workers on the available sockets.

Usage
crew_class_client$start()
Returns

NULL (invisibly).


Method terminate()

Stop the mirai client and disconnect from the worker websockets.

Usage
crew_class_client$terminate()
Returns

NULL (invisibly).


Method condition()

Get the nanonext condition variable which tasks signal on resolution.

Usage
crew_class_client$condition()
Returns

The nanonext condition variable which tasks signal on resolution. The return value is NULL if the client is not running.


Method resolved()

Get the true value of the nanonext condition variable.

Usage
crew_class_client$resolved()
Returns

The value of the nanonext condition variable.


Method summary()

Show an informative worker log.

Usage
crew_class_client$summary()
Returns

A tibble with information on the workers, or NULL if the client is not started. The tibble has 1 row per worker and the following columns:

  • worker: integer index of the worker.

  • online: TRUE if the worker is online and connected to the websocket URL, FALSE otherwise.

  • instances: integer, number of instances of mirai daemons (crew workers) that have connected to the websocket URL during the life cycle of the listener.

  • assigned: number of tasks assigned to the current websocket URL.

  • complete: number of tasks completed at the current websocket URL.

  • socket: websocket URL. crew changes the token at the end of the URL path periodically as a safeguard while managing workers.


Method pids()

Get the process IDs of the local process and the mirai dispatcher (if started).

Usage
crew_class_client$pids()
Returns

An integer vector of process IDs of the local process and the mirai dispatcher (if started).

See Also

Other client: crew_client()

Examples

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
client$start()
client$log()
client$terminate()
}

## ------------------------------------------------
## Method `crew_class_client$new`
## ------------------------------------------------

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
client$start()
client$log()
client$terminate()
}

Controller class

Description

R6 class for controllers.

Details

See crew_controller().

Active bindings

client

Router object.

launcher

Launcher object.

tasks

A list of mirai::mirai() task objects.

pushed

Number of tasks pushed since the controller was started.

popped

Number of tasks popped since the controller was started.

error

Tibble of task results (with one result per row) from the last call to ⁠map(error = "stop)⁠.

backlog

Character vector of explicitly backlogged tasks.

autoscaling

TRUE or FALSE, whether async later-based auto-scaling is currently running

Methods

Public methods


Method new()

mirai controller constructor.

Usage
crew_class_controller$new(client = NULL, launcher = NULL)
Arguments
client

Router object. See crew_controller().

launcher

Launcher object. See crew_controller().

Returns

An R6 controller object.

Examples
if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
launcher <- crew_launcher_local()
controller <- crew_controller(client = client, launcher = launcher)
controller$start()
controller$push(name = "task", command = sqrt(4))
controller$wait()
controller$pop()
controller$terminate()
}

Method validate()

Validate the client.

Usage
crew_class_controller$validate()
Returns

NULL (invisibly).


Method empty()

Check if the controller is empty.

Usage
crew_class_controller$empty(controllers = NULL)
Arguments
controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Details

A controller is empty if it has no running tasks or completed tasks waiting to be retrieved with push().

Returns

TRUE if the controller is empty, FALSE otherwise.


Method nonempty()

Check if the controller is nonempty.

Usage
crew_class_controller$nonempty(controllers = NULL)
Arguments
controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Details

A controller is empty if it has no running tasks or completed tasks waiting to be retrieved with push().

Returns

TRUE if the controller is empty, FALSE otherwise.


Method resolved()

Number of resolved mirai() tasks.

Usage
crew_class_controller$resolved(controllers = NULL)
Arguments
controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Details

resolved() is cumulative: it counts all the resolved tasks over the entire lifetime of the controller session.

Returns

Non-negative integer of length 1, number of resolved mirai() tasks. The return value is 0 if the condition variable does not exist (i.e. if the client is not running).


Method unresolved()

Number of unresolved mirai() tasks.

Usage
crew_class_controller$unresolved(controllers = NULL)
Arguments
controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Returns

Non-negative integer of length 1, number of unresolved mirai() tasks.


Method unpopped()

Number of resolved mirai() tasks available via pop().

Usage
crew_class_controller$unpopped(controllers = NULL)
Arguments
controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Returns

Non-negative integer of length 1, number of resolved mirai() tasks available via pop().


Method saturated()

Check if the controller is saturated.

Usage
crew_class_controller$saturated(
  collect = NULL,
  throttle = NULL,
  controller = NULL
)
Arguments
collect

Deprecated in version 0.5.0.9003 (2023-10-02). Not used.

throttle

Deprecated in version 0.5.0.9003 (2023-10-02). Not used.

controller

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Details

A controller is saturated if the number of unresolved tasks is greater than or equal to the maximum number of workers. In other words, in a saturated controller, every available worker has a task. You can still push tasks to a saturated controller, but tools that use crew such as targets may choose not to.

Returns

TRUE if the controller is saturated, FALSE otherwise.


Method start()

Start the controller if it is not already started.

Usage
crew_class_controller$start(controllers = NULL)
Arguments
controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Details

Register the mirai client and register worker websockets with the launcher.

Returns

NULL (invisibly).


Method started()

Check whether the controller is started.

Usage
crew_class_controller$started(controllers = NULL)
Arguments
controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Details

Actually checks whether the client is started.

Returns

TRUE if the controller is started, FALSE otherwise.


Method launch()

Launch one or more workers.

Usage
crew_class_controller$launch(n = 1L, controllers = NULL)
Arguments
n

Number of workers to try to launch. The actual number launched is capped so that no more than "workers" workers running at a given time, where "workers" is an argument of crew_controller(). The actual cap is the "workers" argument minus the number of connected workers minus the number of starting workers. A "connected" worker has an active websocket connection to the mirai client, and "starting" means that the worker was launched at most seconds_start seconds ago, where seconds_start is also an argument of crew_controller().

controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Returns

NULL (invisibly).


Method scale()

Auto-scale workers out to meet the demand of tasks.

Usage
crew_class_controller$scale(throttle = TRUE, controllers = NULL)
Arguments
throttle

TRUE to skip auto-scaling if it already happened within the last seconds_interval seconds. FALSE to auto-scale every time scale() is called. Throttling avoids overburdening the mirai dispatcher and other resources.

controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Details

The scale() method re-launches all inactive backlogged workers, then any additional inactive workers needed to accommodate the demand of unresolved tasks. A worker is "backlogged" if it was assigned more tasks than it has completed so far.

Methods push(), pop(), and wait() already invoke scale() if the scale argument is TRUE. For finer control of the number of workers launched, call launch() on the controller with the exact desired number of workers.

Returns

NULL (invisibly).


Method autoscale()

Run worker auto-scaling in a private later loop every controller$client$seconds_interval seconds.

Usage
crew_class_controller$autoscale(controllers = NULL)
Arguments
controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Details

Call controller$descale() to terminate the auto-scaling loop.

Returns

NULL (invisibly).


Method descale()

Terminate the auto-scaling loop started by controller$autoscale().

Usage
crew_class_controller$descale(controllers = NULL)
Arguments
controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Returns

NULL (invisibly).


Method push()

Push a task to the head of the task list.

Usage
crew_class_controller$push(
  command,
  data = list(),
  globals = list(),
  substitute = TRUE,
  seed = NULL,
  algorithm = NULL,
  packages = character(0),
  library = NULL,
  seconds_timeout = NULL,
  scale = TRUE,
  throttle = TRUE,
  name = NA_character_,
  save_command = FALSE,
  controller = NULL
)
Arguments
command

Language object with R code to run.

data

Named list of local data objects in the evaluation environment.

globals

Named list of objects to temporarily assign to the global environment for the task. This list should include any functions you previously defined in the global environment which are required to run tasks. See the reset_globals argument of crew_controller_local().

substitute

Logical of length 1, whether to call base::substitute() on the supplied value of the command argument. If TRUE (default) then command is quoted literally as you write it, e.g. push(command = your_function_call()). If FALSE, then crew assumes command is a language object and you are passing its value, e.g. push(command = quote(your_function_call())). substitute = TRUE is appropriate for interactive use, whereas substitute = FALSE is meant for automated R programs that invoke crew controllers.

seed

Integer of length 1 with the pseudo-random number generator seed to set for the evaluation of the task. Passed to the seed argument of set.seed() if not NULL. If algorithm and seed are both NULL, then the random number generator defaults to the widely spaced worker-specific L'Ecuyer streams as supported by mirai::nextstream(). See vignette("parallel", package = "parallel") for details.

algorithm

Integer of length 1 with the pseudo-random number generator algorithm to set for the evaluation of the task. Passed to the kind argument of RNGkind() if not NULL. If algorithm and seed are both NULL, then the random number generator defaults to the recommended widely spaced worker-specific L'Ecuyer streams as supported by mirai::nextstream(). See vignette("parallel", package = "parallel") for details.

packages

Character vector of packages to load for the task.

library

Library path to load the packages. See the lib.loc argument of require().

seconds_timeout

Optional task timeout passed to the .timeout argument of mirai::mirai() (after converting to milliseconds).

scale

Logical, whether to automatically call scale() to auto-scale workers to meet the demand of the task load. Also see the throttle argument.

throttle

TRUE to skip auto-scaling if it already happened within the last seconds_interval seconds. FALSE to auto-scale every time scale() is called. Throttling avoids overburdening the mirai dispatcher and other resources.

name

Optional name of the task. Must be a character string or NA.

save_command

Logical of length 1. If TRUE, the controller deparses the command and returns it with the output on pop(). If FALSE (default), the controller skips this step to increase speed.

controller

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Returns

Invisibly return the mirai object of the pushed task. This allows you to interact with the task directly, e.g. to create a promise object with promises::as.promise().


Method walk()

Apply a single command to multiple inputs, and return control to the user without waiting for any task to complete.

Usage
crew_class_controller$walk(
  command,
  iterate,
  data = list(),
  globals = list(),
  substitute = TRUE,
  seed = NULL,
  algorithm = NULL,
  packages = character(0),
  library = NULL,
  seconds_timeout = NULL,
  names = NULL,
  save_command = FALSE,
  scale = TRUE,
  throttle = TRUE,
  controller = NULL
)
Arguments
command

Language object with R code to run.

iterate

Named list of vectors or lists to iterate over. For example, to run function calls f(x = 1, y = "a") and f(x = 2, y = "b"), set command to f(x, y), and set iterate to list(x = c(1, 2), y = c("a", "b")). The individual function calls are evaluated as f(x = iterate$x[[1]], y = iterate$y[[1]]) and f(x = iterate$x[[2]], y = iterate$y[[2]]). All the elements of iterate must have the same length. If there are any name conflicts between iterate and data, iterate takes precedence.

data

Named list of constant local data objects in the evaluation environment. Objects in this list are treated as single values and are held constant for each iteration of the map.

globals

Named list of constant objects to temporarily assign to the global environment for each task. This list should include any functions you previously defined in the global environment which are required to run tasks. See the reset_globals argument of crew_controller_local(). Objects in this list are treated as single values and are held constant for each iteration of the map.

substitute

Logical of length 1, whether to call base::substitute() on the supplied value of the command argument. If TRUE (default) then command is quoted literally as you write it, e.g. push(command = your_function_call()). If FALSE, then crew assumes command is a language object and you are passing its value, e.g. push(command = quote(your_function_call())). substitute = TRUE is appropriate for interactive use, whereas substitute = FALSE is meant for automated R programs that invoke crew controllers.

seed

Integer of length 1 with the pseudo-random number generator seed to set for the evaluation of the task. Passed to the seed argument of set.seed() if not NULL. If algorithm and seed are both NULL, then the random number generator defaults to the recommended widely spaced worker-specific L'Ecuyer streams as supported by mirai::nextstream(). See vignette("parallel", package = "parallel") for details.

algorithm

Integer of length 1 with the pseudo-random number generator algorithm to set for the evaluation of the task. Passed to the kind argument of RNGkind() if not NULL. If algorithm and seed are both NULL, then the random number generator defaults to the recommended widely spaced worker-specific L'Ecuyer streams as supported by mirai::nextstream(). See vignette("parallel", package = "parallel") for details.

packages

Character vector of packages to load for the task.

library

Library path to load the packages. See the lib.loc argument of require().

seconds_timeout

Optional task timeout passed to the .timeout argument of mirai::mirai() (after converting to milliseconds).

names

Optional character of length 1, name of the element of iterate with names for the tasks. If names is supplied, then iterate[[names]] must be a character vector.

save_command

Logical of length 1, whether to store a text string version of the R command in the output.

scale

Logical, whether to automatically scale workers to meet demand. See also the throttle argument.

throttle

TRUE to skip auto-scaling if it already happened within the last seconds_interval seconds. FALSE to auto-scale every time scale() is called. Throttling avoids overburdening the mirai dispatcher and other resources.

controller

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Details

In contrast to walk(), map() blocks the local R session and waits for all tasks to complete.

Returns

Invisibly returns a list of mirai task objects for the newly created tasks. The order of tasks in the list matches the order of data in the iterate argument.


Method map()

Apply a single command to multiple inputs, wait for all tasks to complete, and return the results of all tasks.

Usage
crew_class_controller$map(
  command,
  iterate,
  data = list(),
  globals = list(),
  substitute = TRUE,
  seed = NULL,
  algorithm = NULL,
  packages = character(0),
  library = NULL,
  seconds_interval = 0.5,
  seconds_timeout = NULL,
  names = NULL,
  save_command = FALSE,
  error = "stop",
  warnings = TRUE,
  verbose = interactive(),
  scale = TRUE,
  throttle = TRUE,
  controller = NULL
)
Arguments
command

Language object with R code to run.

iterate

Named list of vectors or lists to iterate over. For example, to run function calls f(x = 1, y = "a") and f(x = 2, y = "b"), set command to f(x, y), and set iterate to list(x = c(1, 2), y = c("a", "b")). The individual function calls are evaluated as f(x = iterate$x[[1]], y = iterate$y[[1]]) and f(x = iterate$x[[2]], y = iterate$y[[2]]). All the elements of iterate must have the same length. If there are any name conflicts between iterate and data, iterate takes precedence.

data

Named list of constant local data objects in the evaluation environment. Objects in this list are treated as single values and are held constant for each iteration of the map.

globals

Named list of constant objects to temporarily assign to the global environment for each task. This list should include any functions you previously defined in the global environment which are required to run tasks. See the reset_globals argument of crew_controller_local(). Objects in this list are treated as single values and are held constant for each iteration of the map.

substitute

Logical of length 1, whether to call base::substitute() on the supplied value of the command argument. If TRUE (default) then command is quoted literally as you write it, e.g. push(command = your_function_call()). If FALSE, then crew assumes command is a language object and you are passing its value, e.g. push(command = quote(your_function_call())). substitute = TRUE is appropriate for interactive use, whereas substitute = FALSE is meant for automated R programs that invoke crew controllers.

seed

Integer of length 1 with the pseudo-random number generator seed to set for the evaluation of the task. Passed to the seed argument of set.seed() if not NULL. If algorithm and seed are both NULL, then the random number generator defaults to the recommended widely spaced worker-specific L'Ecuyer streams as supported by mirai::nextstream(). See vignette("parallel", package = "parallel") for details.

algorithm

Integer of length 1 with the pseudo-random number generator algorithm to set for the evaluation of the task. Passed to the kind argument of RNGkind() if not NULL. If algorithm and seed are both NULL, then the random number generator defaults to the recommended widely spaced worker-specific L'Ecuyer streams as supported by mirai::nextstream(). See vignette("parallel", package = "parallel") for details.

packages

Character vector of packages to load for the task.

library

Library path to load the packages. See the lib.loc argument of require().

seconds_interval

Number of seconds to wait between auto-scaling operations while waiting for tasks to complete.

seconds_timeout

Optional task timeout passed to the .timeout argument of mirai::mirai() (after converting to milliseconds).

names

Optional character of length 1, name of the element of iterate with names for the tasks. If names is supplied, then iterate[[names]] must be a character vector.

save_command

Logical of length 1, whether to store a text string version of the R command in the output.

error

Character of length 1, choice of action if a task has an error. Possible values:

  • "stop": throw an error in the main R session instead of returning a value. In case of an error, the results from the last errored map() are in the error field of the controller, e.g. controller_object$error. To reduce memory consumption, set controller_object$error <- NULL after you are finished troubleshooting.

  • "warn": throw a warning. This allows the return value with all the error messages and tracebacks to be generated.

  • "silent": do nothing special.

warnings

Logical of length 1, whether to throw a warning in the interactive session if at least one task encounters an error.

verbose

Logical of length 1, whether to print progress messages.

scale

Logical, whether to automatically scale workers to meet demand. See also the throttle argument.

throttle

TRUE to skip auto-scaling if it already happened within the last seconds_interval seconds. FALSE to auto-scale every time scale() is called. Throttling avoids overburdening the mirai dispatcher and other resources.

controller

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Details

map() cannot be used unless all prior tasks are completed and popped. You may need to wait and then pop them manually. Alternatively, you can start over: either call terminate() on the current controller object to reset it, or create a new controller object entirely.

Returns

A tibble of results and metadata: one row per task and columns corresponding to the output of pop().


Method pop()

Pop a completed task from the results data frame.

Usage
crew_class_controller$pop(
  scale = TRUE,
  collect = NULL,
  throttle = TRUE,
  error = NULL,
  controllers = NULL
)
Arguments
scale

Logical of length 1, whether to automatically call scale() to auto-scale workers to meet the demand of the task load. Scaling up on pop() may be important for transient or nearly transient workers that tend to drop off quickly after doing little work. See also the throttle argument.

collect

Deprecated in version 0.5.0.9003 (2023-10-02).

throttle

TRUE to skip auto-scaling if it already happened within the last seconds_interval seconds. FALSE to auto-scale every time scale() is called. Throttling avoids overburdening the mirai dispatcher and other resources.

error

NULL or character of length 1, choice of action if the popped task threw an error. Possible values:

  • "stop": throw an error in the main R session instead of returning a value.

  • "warn": throw a warning.

  • NULL or "silent": do not react to errors.

controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Details

If not task is currently completed, pop() will attempt to auto-scale workers as needed.

Returns

If there is no task to collect, return NULL. Otherwise, return a one-row tibble with the following columns.

  • name: the task name if given.

  • command: a character string with the R command if save_command was set to TRUE in push().

  • result: a list containing the return value of the R command.

  • seconds: number of seconds that the task ran.

  • seed: the single integer originally supplied to push(), NA otherwise. The pseudo-random number generator state just prior to the task can be restored using set.seed(seed = seed, kind = algorithm), where seed and algorithm are part of this output.

  • algorithm: name of the pseudo-random number generator algorithm originally supplied to push(), NA otherwise. The pseudo-random number generator state just prior to the task can be restored using set.seed(seed = seed, kind = algorithm), where seed and algorithm are part of this output.

  • status: a character string. "success" if the task did not throw an error, "cancel" if the task was canceled with the cancel() controller method, or "error" if the task threw an error.

  • code: an integer code denoting the specific exit status: 0 for successful tasks, 1 for tasks with an error in the R command of the task, and another positive integer with an NNG status code if there is an error at the NNG/nanonext level.

  • error: the first 2048 characters of the error message if the task threw an error, NA otherwise.

  • trace: the first 2048 characters of the text of the traceback if the task threw an error, NA otherwise.

  • warnings: the first 2048 characters. of the text of warning messages that the task may have generated, NA otherwise.

  • launcher: name of the crew launcher where the task ran.


Method collect()

Pop all available task results and return them in a tidy tibble.

Usage
crew_class_controller$collect(
  scale = TRUE,
  throttle = TRUE,
  error = NULL,
  controllers = NULL
)
Arguments
scale

Logical of length 1, whether to automatically call scale() to auto-scale workers to meet the demand of the task load.

throttle

TRUE to skip auto-scaling if it already happened within the last seconds_interval seconds. FALSE to auto-scale every time scale() is called. Throttling avoids overburdening the mirai dispatcher and other resources.

error

NULL or character of length 1, choice of action if the popped task threw an error. Possible values:

  • "stop": throw an error in the main R session instead of returning a value.

  • "warn": throw a warning.

  • NULL or "silent": do not react to errors.

controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Returns

A tibble of results and metadata of all resolved tasks, with one row per task. Returns NULL if there are no tasks to collect.


Method promise()

Create a promises::promise() object to asynchronously pop or collect one or more tasks.

Usage
crew_class_controller$promise(
  mode = "one",
  seconds_interval = 0.1,
  scale = NULL,
  throttle = NULL,
  controllers = NULL
)
Arguments
mode

Character of length 1, what kind of promise to create. mode must be "one" or "all". Details:

  • If mode is "one", then the promise is fulfilled (or rejected) when at least one task is resolved and available to pop(). When that happens, pop() runs asynchronously, pops a result off the task list, and returns a value. If the task succeeded, then the promise is fulfilled and its value is the result of pop() (a one-row tibble with the result and metadata). If the task threw an error, the error message of the task is forwarded to any error callbacks registered with the promise.

  • If mode is "all", then the promise is fulfilled (or rejected) when there are no unresolved tasks left in the controller. (Be careful: this condition is trivially met in the moment if the controller is empty and you have not submitted any tasks, so it is best to create this kind of promise only after you submit tasks.) When there are no unresolved tasks left, collect() runs asynchronously, pops all available results off the task list, and returns a value. If the task succeeded, then the promise is fulfilled and its value is the result of collect() (a tibble with one row per task result). If any of the tasks threw an error, then the first error message detected is forwarded to any error callbacks registered with the promise.

seconds_interval

Positive numeric of length 1, delay in the later::later() polling interval to asynchronously check if the promise can be resolved.

scale

Deprecated on 2024-04-10 (version 0.9.1.9003) and no longer used. Now, promise() always turns on auto-scaling in a private later loop (if not already activated).

throttle

Deprecated on 2024-04-10 (version 0.9.1.9003) and no longer used. Now, promise() always turns on auto-scaling in a private later loop (if not already activated).

controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Details

Please be aware that pop() or collect() will happen asynchronously at a some unpredictable time after the promise object is created, even if your local R process appears to be doing something completely different. This behavior is highly desirable in a Shiny reactive context, but please be careful as it may be surprising in other situations.

Returns

A promises::promise() object whose eventual value will be a tibble with results from one or more popped tasks. If mode = "one", only one task is popped and returned (one row). If mode = "all", then all the tasks are returned in a tibble with one row per task (or NULL is returned if there are no tasks to pop).


Method wait()

Wait for tasks.

Usage
crew_class_controller$wait(
  mode = "all",
  seconds_interval = 0.5,
  seconds_timeout = Inf,
  scale = TRUE,
  throttle = TRUE,
  controllers = NULL
)
Arguments
mode

Character of length 1: "all" to wait for all tasks to complete, "one" to wait for a single task to complete.

seconds_interval

Number of seconds to interrupt the wait in order to scale up workers as needed.

seconds_timeout

Timeout length in seconds waiting for tasks.

scale

Logical, whether to automatically call scale() to auto-scale workers to meet the demand of the task load. See also the throttle argument.

throttle

TRUE to skip auto-scaling if it already happened within the last seconds_interval seconds. FALSE to auto-scale every time scale() is called. Throttling avoids overburdening the mirai dispatcher and other resources.

controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Details

The wait() method blocks the calling R session and repeatedly auto-scales workers for tasks that need them. The function runs until it either times out or the condition in mode is met.

Returns

A logical of length 1, invisibly. TRUE if the condition in mode was met, FALSE otherwise.


Method push_backlog()

Push the name of a task to the backlog.

Usage
crew_class_controller$push_backlog(name, controller = NULL)
Arguments
name

Character of length 1 with the task name to push to the backlog.

controller

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Details

pop_backlog() pops the tasks that can be pushed without saturating the controller.

Returns

NULL (invisibly).


Method pop_backlog()

Pop the task names from the head of the backlog which can be pushed without saturating the controller.

Usage
crew_class_controller$pop_backlog(controllers = NULL)
Arguments
controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Returns

Character vector of task names which can be pushed to the controller without saturating it. If the controller is saturated, character(0L) is returned.


Method summary()

Summarize the workers and tasks of the controller.

Usage
crew_class_controller$summary(controllers = NULL)
Arguments
controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Returns

A data frame of summary statistics on the workers and tasks. It has one row per worker websocket and the following columns:

  • controller: name of the controller. . * worker: integer index of the worker.

  • tasks: number of tasks which were completed by a worker at the websocket and then returned by calling pop() on the controller object.

  • seconds: total number of runtime and seconds of all the tasks that ran on a worker connected to this websocket and then were retrieved by calling pop() on the controller object.

  • errors: total number of tasks which ran on a worker at the website, encountered an error in R, and then retrieved with pop().

  • warnings: total number of tasks which ran on a worker at the website, encountered one or more warnings in R, and then retrieved with pop(). Note: warnings is actually the number of tasks, not the number of warnings. (A task could throw more than one warning.


Method cancel()

Cancel one or more tasks.

Usage
crew_class_controller$cancel(names = character(0L), all = FALSE)
Arguments
names

Character vector of names of tasks to cancel. Those names must have been manually supplied by push().

all

TRUE to cancel all tasks, FALSE otherwise. all = TRUE supersedes the names argument.


Method pids()

Get the process IDs of the local process and the mirai dispatcher (if started).

Usage
crew_class_controller$pids(controllers = NULL)
Arguments
controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Returns

An integer vector of process IDs of the local process and the mirai dispatcher (if started).


Method terminate()

Terminate the workers and the mirai client.

Usage
crew_class_controller$terminate(controllers = NULL)
Arguments
controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Returns

NULL (invisibly).

See Also

Other controller: crew_controller()

Examples

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
launcher <- crew_launcher_local()
controller <- crew_controller(client = client, launcher = launcher)
controller$start()
controller$push(name = "task", command = sqrt(4))
controller$wait()
controller$pop()
controller$terminate()
}

## ------------------------------------------------
## Method `crew_class_controller$new`
## ------------------------------------------------

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
launcher <- crew_launcher_local()
controller <- crew_controller(client = client, launcher = launcher)
controller$start()
controller$push(name = "task", command = sqrt(4))
controller$wait()
controller$pop()
controller$terminate()
}

Controller group class

Description

R6 class for controller groups.

Details

See crew_controller_group().

Active bindings

controllers

List of R6 controller objects.

relay

Relay object for event-driven programming on a downstream condition variable.

Methods

Public methods


Method new()

Multi-controller constructor.

Usage
crew_class_controller_group$new(controllers = NULL, relay = NULL)
Arguments
controllers

List of R6 controller objects.

relay

Relay object for event-driven programming on a downstream condition variable.

Returns

An R6 object with the controller group object.

Examples
if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
persistent <- crew_controller_local(name = "persistent")
transient <- crew_controller_local(
  name = "transient",
  tasks_max = 1L
)
group <- crew_controller_group(persistent, transient)
group$start()
group$push(name = "task", command = sqrt(4), controller = "transient")
group$wait()
group$pop()
group$terminate()
}

Method validate()

Validate the client.

Usage
crew_class_controller_group$validate()
Returns

NULL (invisibly).


Method empty()

See if the controllers are empty.

Usage
crew_class_controller_group$empty(controllers = NULL)
Arguments
controllers

Character vector of controller names. Set to NULL to select all controllers.

Details

A controller is empty if it has no running tasks or completed tasks waiting to be retrieved with push().

Returns

TRUE if all the selected controllers are empty, FALSE otherwise.


Method nonempty()

Check if the controller group is nonempty.

Usage
crew_class_controller_group$nonempty(controllers = NULL)
Arguments
controllers

Character vector of controller names. Set to NULL to select all controllers.

Details

A controller is empty if it has no running tasks or completed tasks waiting to be retrieved with push().

Returns

TRUE if the controller is empty, FALSE otherwise.


Method resolved()

Number of resolved mirai() tasks.

Usage
crew_class_controller_group$resolved(controllers = NULL)
Arguments
controllers

Character vector of controller names. Set to NULL to select all controllers.

Details

resolved() is cumulative: it counts all the resolved tasks over the entire lifetime of the controller session.

Returns

Non-negative integer of length 1, number of resolved mirai() tasks. The return value is 0 if the condition variable does not exist (i.e. if the client is not running).


Method unresolved()

Number of unresolved mirai() tasks.

Usage
crew_class_controller_group$unresolved(controllers = NULL)
Arguments
controllers

Character vector of controller names. Set to NULL to select all controllers.

Returns

Non-negative integer of length 1, number of unresolved mirai() tasks.


Method unpopped()

Number of resolved mirai() tasks available via pop().

Usage
crew_class_controller_group$unpopped(controllers = NULL)
Arguments
controllers

Character vector of controller names. Set to NULL to select all controllers.

Returns

Non-negative integer of length 1, number of resolved mirai() tasks available via pop().


Method saturated()

Check if a controller is saturated.

Usage
crew_class_controller_group$saturated(
  collect = NULL,
  throttle = NULL,
  controller = NULL
)
Arguments
collect

Deprecated in version 0.5.0.9003 (2023-10-02). Not used.

throttle

Deprecated in version 0.5.0.9003 (2023-10-02). Not used.

controller

Character vector of length 1 with the controller name. Set to NULL to select the default controller that push() would choose.

Details

A controller is saturated if the number of unresolved tasks is greater than or equal to the maximum number of workers. In other words, in a saturated controller, every available worker has a task. You can still push tasks to a saturated controller, but tools that use crew such as targets may choose not to.

Returns

TRUE if all the selected controllers are saturated, FALSE otherwise.


Method start()

Start one or more controllers.

Usage
crew_class_controller_group$start(controllers = NULL)
Arguments
controllers

Character vector of controller names. Set to NULL to select all controllers.

Returns

NULL (invisibly).


Method started()

Check whether all the given controllers are started.

Usage
crew_class_controller_group$started(controllers = NULL)
Arguments
controllers

Character vector of controller names. Set to NULL to select all controllers.

Details

Actually checks whether all the given clients are started.

Returns

TRUE if the controllers are started, FALSE if any are not.


Method launch()

Launch one or more workers on one or more controllers.

Usage
crew_class_controller_group$launch(n = 1L, controllers = NULL)
Arguments
n

Number of workers to launch in each controller selected.

controllers

Character vector of controller names. Set to NULL to select all controllers.

Returns

NULL (invisibly).


Method scale()

Automatically scale up the number of workers if needed in one or more controller objects.

Usage
crew_class_controller_group$scale(throttle = TRUE, controllers = NULL)
Arguments
throttle

TRUE to skip auto-scaling if it already happened within the last seconds_interval seconds. FALSE to auto-scale every time scale() is called. Throttling avoids overburdening the mirai dispatcher and other resources.

controllers

Character vector of controller names. Set to NULL to select all controllers.

Details

See the scale() method in individual controller classes.

Returns

NULL (invisibly).


Method autoscale()

Run worker auto-scaling in a private later loop every controller$client$seconds_interval seconds.

Usage
crew_class_controller_group$autoscale(controllers = NULL)
Arguments
controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Returns

NULL (invisibly).


Method descale()

Terminate the auto-scaling loop started by controller$autoscale().

Usage
crew_class_controller_group$descale(controllers = NULL)
Arguments
controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Returns

NULL (invisibly).


Method push()

Push a task to the head of the task list.

Usage
crew_class_controller_group$push(
  command,
  data = list(),
  globals = list(),
  substitute = TRUE,
  seed = NULL,
  algorithm = NULL,
  packages = character(0),
  library = NULL,
  seconds_timeout = NULL,
  scale = TRUE,
  throttle = TRUE,
  name = NA_character_,
  save_command = FALSE,
  controller = NULL
)
Arguments
command

Language object with R code to run.

data

Named list of local data objects in the evaluation environment.

globals

Named list of objects to temporarily assign to the global environment for the task. See the reset_globals argument of crew_controller_local().

substitute

Logical of length 1, whether to call base::substitute() on the supplied value of the command argument. If TRUE (default) then command is quoted literally as you write it, e.g. push(command = your_function_call()). If FALSE, then crew assumes command is a language object and you are passing its value, e.g. push(command = quote(your_function_call())). substitute = TRUE is appropriate for interactive use, whereas substitute = FALSE is meant for automated R programs that invoke crew controllers.

seed

Integer of length 1 with the pseudo-random number generator seed to set for the evaluation of the task. Passed to the seed argument of set.seed() if not NULL. If algorithm and seed are both NULL, then the random number generator defaults to the widely spaced worker-specific L'Ecuyer streams as supported by mirai::nextstream(). See vignette("parallel", package = "parallel") for details.

algorithm

Integer of length 1 with the pseudo-random number generator algorithm to set for the evaluation of the task. Passed to the kind argument of RNGkind() if not NULL. If algorithm and seed are both NULL, then the random number generator defaults to the recommended widely spaced worker-specific L'Ecuyer streams as supported by mirai::nextstream(). See vignette("parallel", package = "parallel") for details.

packages

Character vector of packages to load for the task.

library

Library path to load the packages. See the lib.loc argument of require().

seconds_timeout

Optional task timeout passed to the .timeout argument of mirai::mirai() (after converting to milliseconds).

scale

Logical, whether to automatically scale workers to meet demand. See the scale argument of the push() method of ordinary single controllers.

throttle

TRUE to skip auto-scaling if it already happened within the last seconds_interval seconds. FALSE to auto-scale every time scale() is called. Throttling avoids overburdening the mirai dispatcher and other resources.

name

Optional name of the task. Replaced with a random name if NULL or in conflict with an existing name in the task list.

save_command

Logical of length 1. If TRUE, the controller deparses the command and returns it with the output on pop(). If FALSE (default), the controller skips this step to increase speed.

controller

Character of length 1, name of the controller to submit the task. If NULL, the controller defaults to the first controller in the list.

Returns

Invisibly return the mirai object of the pushed task. This allows you to interact with the task directly, e.g. to create a promise object with promises::as.promise().


Method walk()

Apply a single command to multiple inputs, and return control to the user without waiting for any task to complete.

Usage
crew_class_controller_group$walk(
  command,
  iterate,
  data = list(),
  globals = list(),
  substitute = TRUE,
  seed = NULL,
  algorithm = NULL,
  packages = character(0),
  library = NULL,
  seconds_timeout = NULL,
  names = NULL,
  save_command = FALSE,
  scale = TRUE,
  throttle = TRUE,
  controller = NULL
)
Arguments
command

Language object with R code to run.

iterate

Named list of vectors or lists to iterate over. For example, to run function calls f(x = 1, y = "a") and f(x = 2, y = "b"), set command to f(x, y), and set iterate to list(x = c(1, 2), y = c("a", "b")). The individual function calls are evaluated as f(x = iterate$x[[1]], y = iterate$y[[1]]) and f(x = iterate$x[[2]], y = iterate$y[[2]]). All the elements of iterate must have the same length. If there are any name conflicts between iterate and data, iterate takes precedence.

data

Named list of constant local data objects in the evaluation environment. Objects in this list are treated as single values and are held constant for each iteration of the map.

globals

Named list of constant objects to temporarily assign to the global environment for each task. This list should include any functions you previously defined in the global environment which are required to run tasks. See the reset_globals argument of crew_controller_local(). Objects in this list are treated as single values and are held constant for each iteration of the map.

substitute

Logical of length 1, whether to call base::substitute() on the supplied value of the command argument. If TRUE (default) then command is quoted literally as you write it, e.g. push(command = your_function_call()). If FALSE, then crew assumes command is a language object and you are passing its value, e.g. push(command = quote(your_function_call())). substitute = TRUE is appropriate for interactive use, whereas substitute = FALSE is meant for automated R programs that invoke crew controllers.

seed

Integer of length 1 with the pseudo-random number generator seed to set for the evaluation of the task. Passed to the seed argument of set.seed() if not NULL. If algorithm and seed are both NULL, then the random number generator defaults to the recommended widely spaced worker-specific L'Ecuyer streams as supported by mirai::nextstream(). See vignette("parallel", package = "parallel") for details.

algorithm

Integer of length 1 with the pseudo-random number generator algorithm to set for the evaluation of the task. Passed to the kind argument of RNGkind() if not NULL. If algorithm and seed are both NULL, then the random number generator defaults to the recommended widely spaced worker-specific L'Ecuyer streams as supported by mirai::nextstream(). See vignette("parallel", package = "parallel") for details.

packages

Character vector of packages to load for the task.

library

Library path to load the packages. See the lib.loc argument of require().

seconds_timeout

Optional task timeout passed to the .timeout argument of mirai::mirai() (after converting to milliseconds).

names

Optional character of length 1, name of the element of iterate with names for the tasks. If names is supplied, then iterate[[names]] must be a character vector.

save_command

Logical of length 1, whether to store a text string version of the R command in the output.

scale

Logical, whether to automatically scale workers to meet demand. See also the throttle argument.

throttle

TRUE to skip auto-scaling if it already happened within the last seconds_interval seconds. FALSE to auto-scale every time scale() is called. Throttling avoids overburdening the mirai dispatcher and other resources.

controller

Character of length 1, name of the controller to submit the tasks. If NULL, the controller defaults to the first controller in the list.

Details

In contrast to walk(), map() blocks the local R session and waits for all tasks to complete.

Returns

Invisibly returns a list of mirai task objects for the newly created tasks. The order of tasks in the list matches the order of data in the iterate argument.


Method map()

Apply a single command to multiple inputs.

Usage
crew_class_controller_group$map(
  command,
  iterate,
  data = list(),
  globals = list(),
  substitute = TRUE,
  seed = NULL,
  algorithm = NULL,
  packages = character(0),
  library = NULL,
  seconds_interval = 0.5,
  seconds_timeout = NULL,
  names = NULL,
  save_command = FALSE,
  error = "stop",
  warnings = TRUE,
  verbose = interactive(),
  scale = TRUE,
  throttle = TRUE,
  controller = NULL
)
Arguments
command

Language object with R code to run.

iterate

Named list of vectors or lists to iterate over. For example, to run function calls f(x = 1, y = "a") and f(x = 2, y = "b"), set command to f(x, y), and set iterate to list(x = c(1, 2), y = c("a", "b")). The individual function calls are evaluated as f(x = iterate$x[[1]], y = iterate$y[[1]]) and f(x = iterate$x[[2]], y = iterate$y[[2]]). All the elements of iterate must have the same length. If there are any name conflicts between iterate and data, iterate takes precedence.

data

Named list of constant local data objects in the evaluation environment. Objects in this list are treated as single values and are held constant for each iteration of the map.

globals

Named list of constant objects to temporarily assign to the global environment for each task. This list should include any functions you previously defined in the global environment which are required to run tasks. See the reset_globals argument of crew_controller_local(). Objects in this list are treated as single values and are held constant for each iteration of the map.

substitute

Logical of length 1, whether to call base::substitute() on the supplied value of the command argument. If TRUE (default) then command is quoted literally as you write it, e.g. push(command = your_function_call()). If FALSE, then crew assumes command is a language object and you are passing its value, e.g. push(command = quote(your_function_call())). substitute = TRUE is appropriate for interactive use, whereas substitute = FALSE is meant for automated R programs that invoke crew controllers.

seed

Integer of length 1 with the pseudo-random number generator seed to set for the evaluation of the task. Passed to the seed argument of set.seed() if not NULL. If algorithm and seed are both NULL, then the random number generator defaults to the recommended widely spaced worker-specific L'Ecuyer streams as supported by mirai::nextstream(). See vignette("parallel", package = "parallel") for details.

algorithm

Integer of length 1 with the pseudo-random number generator algorithm to set for the evaluation of the task. Passed to the kind argument of RNGkind() if not NULL. If algorithm and seed are both NULL, then the random number generator defaults to the recommended widely spaced worker-specific L'Ecuyer streams as supported by mirai::nextstream(). See vignette("parallel", package = "parallel") for details.

packages

Character vector of packages to load for the task.

library

Library path to load the packages. See the lib.loc argument of require().

seconds_interval

Number of seconds to wait between auto-scaling operations while waiting for tasks to complete.

seconds_timeout

Optional task timeout passed to the .timeout argument of mirai::mirai() (after converting to milliseconds).

names

Optional character of length 1, name of the element of iterate with names for the tasks. If names is supplied, then iterate[[names]] must be a character vector.

save_command

Logical of length 1, whether to store a text string version of the R command in the output.

error

Character vector of length 1, choice of action if a task has an error. Possible values:

  • "stop": throw an error in the main R session instead of returning a value. In case of an error, the results from the last errored map() are in the error field of the controller, e.g. controller_object$error. To reduce memory consumption, set controller_object$error <- NULL after you are finished troubleshooting.

  • "warn": throw a warning. This allows the return value with all the error messages and tracebacks to be generated.

  • "silent": do nothing special.

warnings

Logical of length 1, whether to throw a warning in the interactive session if at least one task encounters an error.

verbose

Logical of length 1, whether to print progress messages.

scale

Logical, whether to automatically scale workers to meet demand. See also the throttle argument.

throttle

TRUE to skip auto-scaling if it already happened within the last seconds_interval seconds. FALSE to auto-scale every time scale() is called. Throttling avoids overburdening the mirai dispatcher and other resources.

controller

Character of length 1, name of the controller to submit the tasks. If NULL, the controller defaults to the first controller in the list.

Details

The idea comes from functional programming: for example, the map() function from the purrr package.

Returns

A tibble of results and metadata: one row per task and columns corresponding to the output of pop().


Method pop()

Pop a completed task from the results data frame.

Usage
crew_class_controller_group$pop(
  scale = TRUE,
  collect = NULL,
  throttle = TRUE,
  error = NULL,
  controllers = NULL
)
Arguments
scale

Logical, whether to automatically scale workers to meet demand. See the scale argument of the pop() method of ordinary single controllers.

collect

Deprecated in version 0.5.0.9003 (2023-10-02). Not used.

throttle

TRUE to skip auto-scaling if it already happened within the last seconds_interval seconds. FALSE to auto-scale every time scale() is called. Throttling avoids overburdening the mirai dispatcher and other resources.

error

NULL or character of length 1, choice of action if the popped task threw an error. Possible values:

  • "stop": throw an error in the main R session instead of returning a value.

  • "warn": throw a warning.

  • NULL or "silent": do not react to errors.

controllers

Character vector of controller names. Set to NULL to select all controllers.

Returns

If there is no task to collect, return NULL. Otherwise, return a one-row tibble with the same columns as pop() for ordinary controllers.


Method collect()

Pop all available task results and return them in a tidy tibble.

Usage
crew_class_controller_group$collect(
  scale = TRUE,
  throttle = TRUE,
  error = NULL,
  controllers = NULL
)
Arguments
scale

Logical of length 1, whether to automatically call scale() to auto-scale workers to meet the demand of the task load.

throttle

TRUE to skip auto-scaling if it already happened within the last seconds_interval seconds. FALSE to auto-scale every time scale() is called. Throttling avoids overburdening the mirai dispatcher and other resources.

error

NULL or character of length 1, choice of action if the popped task threw an error. Possible values:

  • "stop": throw an error in the main R session instead of returning a value.

  • "warn": throw a warning.

  • NULL or "silent": do not react to errors.

controllers

Character vector of controller names. Set to NULL to select all controllers.

Returns

A tibble of results and metadata of all resolved tasks, with one row per task. Returns NULL if there are no available results.


Method promise()

Create a promises::promise() object to asynchronously pop or collect one or more tasks.

Usage
crew_class_controller_group$promise(
  mode = "one",
  seconds_interval = 0.1,
  scale = NULL,
  throttle = NULL,
  controllers = NULL
)
Arguments
mode

Character of length 1, what kind of promise to create. mode must be "one" or "all". Details:

  • If mode is "one", then the promise is fulfilled (or rejected) when at least one task is resolved and available to pop(). When that happens, pop() runs asynchronously, pops a result off the task list, and returns a value. If the task succeeded, then the promise is fulfilled and its value is the result of pop() (a one-row tibble with the result and metadata). If the task threw an error, the error message of the task is forwarded to any error callbacks registered with the promise.

  • If mode is "all", then the promise is fulfilled (or rejected) when there are no unresolved tasks left in the controller. (Be careful: this condition is trivially met in the moment if the controller is empty and you have not submitted any tasks, so it is best to create this kind of promise only after you submit tasks.) When there are no unresolved tasks left, collect() runs asynchronously, pops all available results off the task list, and returns a value. If the task succeeded, then the promise is fulfilled and its value is the result of collect() (a tibble with one row per task result). If any of the tasks threw an error, then the first error message detected is forwarded to any error callbacks registered with the promise.

seconds_interval

Positive numeric of length 1, delay in the later::later() polling interval to asynchronously check if the promise can be resolved.

scale

Deprecated on 2024-04-10 (version 0.9.1.9003) and no longer used. Now, promise() always turns on auto-scaling in a private later loop (if not already activated).

throttle

Deprecated on 2024-04-10 (version 0.9.1.9003) and no longer used. Now, promise() always turns on auto-scaling in a private later loop (if not already activated).

controllers

Not used. Included to ensure the signature is compatible with the analogous method of controller groups.

Details

Please be aware that pop() or collect() will happen asynchronously at a some unpredictable time after the promise object is created, even if your local R process appears to be doing something completely different. This behavior is highly desirable in a Shiny reactive context, but please be careful as it may be surprising in other situations.

Returns

A promises::promise() object whose eventual value will be a tibble with results from one or more popped tasks. If mode = "one", only one task is popped and returned (one row). If mode = "all", then all the tasks are returned in a tibble with one row per task (or NULL is returned if there are no tasks to pop).


Method wait()

Wait for tasks.

Usage
crew_class_controller_group$wait(
  mode = "all",
  seconds_interval = 0.5,
  seconds_timeout = Inf,
  scale = TRUE,
  throttle = TRUE,
  controllers = NULL
)
Arguments
mode

Character of length 1: "all" to wait for all tasks in all controllers to complete, "one" to wait for a single task in a single controller to complete. In this scheme, the timeout limit is applied to each controller sequentially, and a timeout is treated the same as a completed controller.

seconds_interval

Number of seconds to interrupt the wait in order to scale up workers as needed.

seconds_timeout

Timeout length in seconds waiting for results to become available.

scale

Logical of length 1, whether to call scale_later() on each selected controller to schedule auto-scaling. See the scale argument of the wait() method of ordinary single controllers.

throttle

TRUE to skip auto-scaling if it already happened within the last seconds_interval seconds. FALSE to auto-scale every time scale() is called. Throttling avoids overburdening the mirai dispatcher and other resources.

controllers

Character vector of controller names. Set to NULL to select all controllers.

Details

The wait() method blocks the calling R session and repeatedly auto-scales workers for tasks that need them. The function runs until it either times out or the condition in mode is met.

Returns

A logical of length 1, invisibly. TRUE if the condition in mode was met, FALSE otherwise.


Method push_backlog()

Push the name of a task to the backlog.

Usage
crew_class_controller_group$push_backlog(name, controller = NULL)
Arguments
name

Character of length 1 with the task name to push to the backlog.

controller

Character vector of length 1 with the controller name. Set to NULL to select the default controller that push_backlog() would choose.

Details

pop_backlog() pops the tasks that can be pushed without saturating the controller.

Returns

NULL (invisibly).


Method pop_backlog()

Pop the task names from the head of the backlog which can be pushed without saturating the controller.

Usage
crew_class_controller_group$pop_backlog(controllers = NULL)
Arguments
controllers

Character vector of controller names. Set to NULL to select all controllers.

Returns

Character vector of task names which can be pushed to the controller without saturating it. If the controller is saturated, character(0L) is returned.


Method summary()

Summarize the workers of one or more controllers.

Usage
crew_class_controller_group$summary(controllers = NULL)
Arguments
controllers

Character vector of controller names. Set to NULL to select all controllers.

Returns

A data frame of aggregated worker summary statistics of all the selected controllers. It has one row per worker, and the rows are grouped by controller. See the documentation of the summary() method of the controller class for specific information about the columns in the output.


Method pids()

Get the process IDs of the local process and the mirai dispatchers (if started).

Usage
crew_class_controller_group$pids(controllers = NULL)
Arguments
controllers

Character vector of controller names. Set to NULL to select all controllers.

Returns

An integer vector of process IDs of the local process and the mirai dispatcher (if started).


Method terminate()

Terminate the workers and disconnect the client for one or more controllers.

Usage
crew_class_controller_group$terminate(controllers = NULL)
Arguments
controllers

Character vector of controller names. Set to NULL to select all controllers.

Returns

NULL (invisibly).

See Also

Other controller_group: crew_controller_group()

Examples

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
persistent <- crew_controller_local(name = "persistent")
transient <- crew_controller_local(
  name = "transient",
  tasks_max = 1L
)
group <- crew_controller_group(persistent, transient)
group$start()
group$push(name = "task", command = sqrt(4), controller = "transient")
group$wait()
group$pop()
group$terminate()
}

## ------------------------------------------------
## Method `crew_class_controller_group$new`
## ------------------------------------------------

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
persistent <- crew_controller_local(name = "persistent")
transient <- crew_controller_local(
  name = "transient",
  tasks_max = 1L
)
group <- crew_controller_group(persistent, transient)
group$start()
group$push(name = "task", command = sqrt(4), controller = "transient")
group$wait()
group$pop()
group$terminate()
}

Launcher abstract class

Description

R6 abstract class to build other subclasses which launch and manage workers.

Active bindings

workers

Data frame of worker information.

name

Name of the launcher.

seconds_interval

See crew_launcher().

seconds_timeout

See crew_launcher().

seconds_launch

See crew_launcher().

seconds_idle

See crew_launcher().

seconds_wall

See crew_launcher().

tasks_max

See crew_launcher().

tasks_timers

See crew_launcher().

reset_globals

See crew_launcher().

reset_packages

See crew_launcher().

reset_options

See crew_launcher().

garbage_collection

See crew_launcher().

crashes_error

See crew_launcher().

tls

See crew_launcher().

processes

See crew_launcher(). asynchronously.

r_arguments

See crew_launcher().

options_metrics

See crew_launcher().

async

A crew_async() object to run low-level launcher tasks asynchronously.

throttle

A crew_throttle() object to throttle scaling.

Methods

Public methods


Method new()

Launcher constructor.

Usage
crew_class_launcher$new(
  name = NULL,
  seconds_interval = NULL,
  seconds_timeout = NULL,
  seconds_launch = NULL,
  seconds_idle = NULL,
  seconds_wall = NULL,
  seconds_exit = NULL,
  tasks_max = NULL,
  tasks_timers = NULL,
  reset_globals = NULL,
  reset_packages = NULL,
  reset_options = NULL,
  garbage_collection = NULL,
  crashes_error = NULL,
  launch_max = NULL,
  tls = NULL,
  processes = NULL,
  r_arguments = NULL,
  options_metrics = NULL
)
Arguments
name

See crew_launcher().

seconds_interval

See crew_launcher().

seconds_timeout

See crew_launcher().

seconds_launch

See crew_launcher().

seconds_idle

See crew_launcher().

seconds_wall

See crew_launcher().

seconds_exit

See crew_launcher().

tasks_max

See crew_launcher().

tasks_timers

See crew_launcher().

reset_globals

See crew_launcher().

reset_packages

See crew_launcher().

reset_options

See crew_launcher().

garbage_collection

See crew_launcher().

crashes_error

See crew_launcher().

launch_max

Deprecated.

tls

See crew_launcher().

processes

See crew_launcher().

r_arguments

See crew_launcher().

options_metrics

See crew_launcher().

Returns

An R6 object with the launcher.

Examples
if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
client$start()
launcher <- crew_launcher_local(name = client$name)
launcher$start(workers = client$workers)
launcher$launch(index = 1L)
m <- mirai::mirai("result", .compute = client$name)
Sys.sleep(0.25)
m$data
client$terminate()
}

Method validate()

Validate the launcher.

Usage
crew_class_launcher$validate()
Returns

NULL (invisibly).


Method set_name()

Set the name of the launcher.

Usage
crew_class_launcher$set_name(name)
Arguments
name

Character of length 1, name to set for the launcher.

Returns

NULL (invisibly).


Method settings()

List of arguments for mirai::daemon().

Usage
crew_class_launcher$settings(socket)
Arguments
socket

Character of length 1, websocket address of the worker to launch.

Returns

List of arguments for mirai::daemon().


Method call()

Create a call to crew_worker() to help create custom launchers.

Usage
crew_class_launcher$call(socket, launcher, worker, instance)
Arguments
socket

Socket where the worker will receive tasks.

launcher

Character of length 1, name of the launcher.

worker

Positive integer of length 1, index of the worker. This worker index remains the same even when the current instance of the worker exits and a new instance launches.

instance

Character of length 1 to uniquely identify the instance of the worker.

Returns

Character of length 1 with a call to crew_worker().

Examples
launcher <- crew_launcher_local()
launcher$call(
  socket = "ws://127.0.0.1:5000/3/cba033e58",
  launcher = "launcher_a",
  worker = 3L,
  instance = "cba033e58"
)

Method start()

Start the launcher.

Usage
crew_class_launcher$start(sockets = NULL)
Arguments
sockets

For testing purposes only.

Details

Creates the workers data frame. Meant to be called once at the beginning of the launcher life cycle, after the client has started.

Returns

NULL (invisibly).


Method terminate()

Terminate the whole launcher, including all workers.

Usage
crew_class_launcher$terminate()
Returns

NULL (invisibly).


Method summary()

Summarize the workers.

Usage
crew_class_launcher$summary()
Returns

NULL if the launcher is not started. Otherwise, a tibble with one row per crew worker and the following columns:

  • worker: integer index of the worker.

  • launches: number of times the worker was launched. Each launch occurs at a different websocket because the token at the end of the URL is rotated before each new launch.

  • online: logical vector, whether the current instance of each worker was actively connected to its NNG socket during the time of the last call to tally().

  • discovered: logical vector, whether the current instance of each worker had connected to its NNG socket at some point (and then possibly disconnected) during the time of the last call to tally().

  • assigned: cumulative number of tasks assigned, reported by mirai::daemons() and summed over all completed instances of the worker. Does not reflect the activity of the currently running instance of the worker.

  • complete: cumulative number of tasks completed, reported by mirai::daemons() and summed over all completed instances of the worker. Does not reflect the activity of the currently running instance of the worker.

  • crashes: number of consecutive times a worker launched without completing all its assigned tasks.


Method tally()

Update the daemons-related columns of the internal workers data frame.

Usage
crew_class_launcher$tally(daemons = NULL)
Arguments
daemons

mirai daemons matrix. For testing only. Users should not set this.

Returns

NULL (invisibly).


Method unlaunched()

Get indexes of unlaunched workers.

Usage
crew_class_launcher$unlaunched(n = Inf)
Arguments
n

Maximum number of worker indexes to return.

Details

A worker is "unlaunched" if it has never connected to the current instance of its websocket. Once a worker launches with the launch() method, it is considered "launched" until it disconnects and its websocket is rotated with rotate().

Returns

Integer index of workers available for launch. The backlogged workers are listed first. A worker is backlogged if it is assigned more tasks than it completed.


Method booting()

Get workers that may still be booting up.

Usage
crew_class_launcher$booting()
Details

A worker is "booting" if its launch time is within the last seconds_launch seconds. seconds_launch is a configurable grace period when crew allows a worker to start up and connect to the mirai dispatcher. The booting() function does not know about the actual worker connection status, it just knows about launch times, so it may return TRUE for workers that have already connected and started doing tasks.


Method active()

Get active workers.

Usage
crew_class_launcher$active()
Details

A worker is "active" if its current instance is online and connected, or if it is within its booting time window and has never connected. In other words, "active" means online | (!discovered & booting).

Returns

Logical vector with TRUE for active workers and FALSE for inactive ones.


Method done()

Get done workers.

Usage
crew_class_launcher$done()
Details

A worker is "done" if it is launched and inactive. A worker is "launched" if launch() was called and the worker websocket has not been rotated since.

Returns

Integer index of inactive workers.


Method rotate()

Usage
crew_class_launcher$rotate()
Details

Rotate websockets at all unlaunched workers and throw an error if a worker launched at least crashes_error times in a row without completing all its assigned tasks.

Returns

NULL (invisibly).


Method launch()

Launch a worker.

Usage
crew_class_launcher$launch(index)
Arguments
index

Positive integer of length 1, index of the worker to launch.

Returns

NULL (invisibly).


Method forward()

Forward an asynchronous launch/termination error condition of a worker.

Usage
crew_class_launcher$forward(index, condition = "error")
Arguments
index

Integer of length 1, index of the worker to inspect.

condition

Character of length 1 indicating what to do with an error if found. "error" to throw an error, "warning" to throw a warning, "message" to print a message, and "character" to return a character vector of specific task-level error messages. The return value is NULL if no error is found.

Returns

Throw an error, throw a warning, or return a character string, depending on the condition argument.


Method errors()

Collect and return the most recent error messages from asynchronous worker launching and termination.

Usage
crew_class_launcher$errors()
Returns

Character vector of all the most recent error messages from asynchronous worker launching and termination. NULL if there are no errors.


Method wait()

Wait for any local asynchronous launch or termination tasks to complete.

Usage
crew_class_launcher$wait()
Details

Only relevant if processes is a positive integer.

Returns

NULL (invisibly).


Method scale()

Auto-scale workers out to meet the demand of tasks.

Usage
crew_class_launcher$scale(demand, throttle = TRUE)
Arguments
demand

Number of unresolved tasks.

throttle

TRUE to skip auto-scaling if it already happened within the last seconds_interval seconds. FALSE to auto-scale every time scale() is called. Throttling avoids overburdening the mirai dispatcher and other resources.

Returns

NULL (invisibly)


Method launch_worker()

Abstract worker launch method.

Usage
crew_class_launcher$launch_worker(call, name, launcher, worker, instance)
Arguments
call

Character of length 1 with a namespaced call to crew_worker() which will run in the worker and accept tasks.

name

Character of length 1 with an informative worker name.

launcher

Character of length 1, name of the launcher.

worker

Positive integer of length 1, index of the worker. This worker index remains the same even when the current instance of the worker exits and a new instance launches. It is always between 1 and the maximum number of concurrent workers.

instance

Character of length 1 to uniquely identify the current instance of the worker a the index in the launcher.

Details

Launcher plugins will overwrite this method.

Returns

A handle to mock the worker launch.


Method crashes()

Return the number of consecutive times a worker launched without completing all its assigned tasks.

Usage
crew_class_launcher$crashes(index)
Arguments
index

Non-negative integer, index of the worker pointing to a row of the data frame output of the summary() method of the launcher.

Returns

Non-negative integer, number of consecutive times a worker launched without completing all its assigned tasks.


Method terminate_worker()

Abstract worker termination method.

Usage
crew_class_launcher$terminate_worker(handle)
Arguments
handle

A handle object previously returned by launch_worker() which allows the termination of the worker.

Details

Launcher plugins will overwrite this method.

Returns

A handle to mock worker termination.


Method terminate_workers()

Terminate one or more workers.

Usage
crew_class_launcher$terminate_workers(index = NULL)
Arguments
index

Integer vector of the indexes of the workers to terminate. If NULL, all current workers are terminated.

Returns

NULL (invisibly).

See Also

Other launcher: crew_launcher()

Examples

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
client$start()
launcher <- crew_launcher_local(name = client$name)
launcher$start(workers = client$workers)
launcher$launch(index = 1L)
m <- mirai::mirai("result", .compute = client$name)
Sys.sleep(0.25)
m$data
client$terminate()
}

## ------------------------------------------------
## Method `crew_class_launcher$new`
## ------------------------------------------------

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
client$start()
launcher <- crew_launcher_local(name = client$name)
launcher$start(workers = client$workers)
launcher$launch(index = 1L)
m <- mirai::mirai("result", .compute = client$name)
Sys.sleep(0.25)
m$data
client$terminate()
}

## ------------------------------------------------
## Method `crew_class_launcher$call`
## ------------------------------------------------

launcher <- crew_launcher_local()
launcher$call(
  socket = "ws://127.0.0.1:5000/3/cba033e58",
  launcher = "launcher_a",
  worker = 3L,
  instance = "cba033e58"
)

Local process launcher class

Description

R6 class to launch and manage local process workers.

Details

See crew_launcher_local().

Super class

crew::crew_class_launcher -> crew_class_launcher_local

Active bindings

options_local

See crew_launcher_local().

Methods

Public methods

Inherited methods

Method new()

Local launcher constructor.

Usage
crew_class_launcher_local$new(
  name = NULL,
  seconds_interval = NULL,
  seconds_timeout = NULL,
  seconds_launch = NULL,
  seconds_idle = NULL,
  seconds_wall = NULL,
  seconds_exit = NULL,
  tasks_max = NULL,
  tasks_timers = NULL,
  reset_globals = NULL,
  reset_packages = NULL,
  reset_options = NULL,
  garbage_collection = NULL,
  crashes_error = NULL,
  tls = NULL,
  processes = NULL,
  r_arguments = NULL,
  options_metrics = NULL,
  options_local = NULL
)
Arguments
name

See crew_launcher().

seconds_interval

See crew_launcher().

seconds_timeout

See crew_launcher().

seconds_launch

See crew_launcher().

seconds_idle

See crew_launcher().

seconds_wall

See crew_launcher().

seconds_exit

See crew_launcher().

tasks_max

See crew_launcher().

tasks_timers

See crew_launcher().

reset_globals

See crew_launcher().

reset_packages

See crew_launcher().

reset_options

See crew_launcher().

garbage_collection

See crew_launcher().

crashes_error

See crew_launcher().

tls

See crew_launcher().

processes

See crew_launcher().

r_arguments

See crew_launcher().

options_metrics

See crew_launcher_local().

options_local

See crew_launcher_local().

Returns

An R6 object with the local launcher.

Examples
if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
client$start()
launcher <- crew_launcher_local(name = client$name)
launcher$start(sockets = client$summary()$socket)
launcher$launch(index = 1L)
task <- mirai::mirai("result", .compute = client$name)
mirai::call_mirai_(task)
task$data
client$terminate()
}

Method validate()

Validate the local launcher.

Usage
crew_class_launcher_local$validate()
Returns

NULL (invisibly).


Method launch_worker()

Launch a local process worker which will dial into a socket.

Usage
crew_class_launcher_local$launch_worker(call, name, launcher, worker, instance)
Arguments
call

Character of length 1 with a namespaced call to crew_worker() which will run in the worker and accept tasks.

name

Character of length 1 with a long informative worker name which contains the launcher, worker, and instance arguments described below.

launcher

Character of length 1, name of the launcher.

worker

Positive integer of length 1, index of the worker. This worker index remains the same even when the current instance of the worker exits and a new instance launches. It is always between 1 and the maximum number of concurrent workers.

instance

Character of length 1 to uniquely identify the current instance of the worker a the index in the launcher.

Details

The call argument is R code that will run to initiate the worker. Together, the launcher, worker, and instance arguments are useful for constructing informative job names.

Returns

A handle object to allow the termination of the worker later on.


Method terminate_worker()

Terminate a local process worker.

Usage
crew_class_launcher_local$terminate_worker(handle)
Arguments
handle

A process handle object previously returned by launch_worker().

Returns

A list with the process ID of the worker.

See Also

Other plugin_local: crew_controller_local(), crew_launcher_local()

Examples

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
client$start()
launcher <- crew_launcher_local(name = client$name)
launcher$start(sockets = client$summary()$socket)
launcher$launch(index = 1L)
task <- mirai::mirai("result", .compute = client$name)
mirai::call_mirai_(task)
task$data
client$terminate()
}

## ------------------------------------------------
## Method `crew_class_launcher_local$new`
## ------------------------------------------------

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
client$start()
launcher <- crew_launcher_local(name = client$name)
launcher$start(sockets = client$summary()$socket)
launcher$launch(index = 1L)
task <- mirai::mirai("result", .compute = client$name)
mirai::call_mirai_(task)
task$data
client$terminate()
}

Local monitor class

Description

Local monitor R6 class

Details

See crew_monitor_local().

Methods

Public methods


Method dispatchers()

List the process IDs of the running mirai dispatcher processes.

Usage
crew_class_monitor_local$dispatchers(user = ps::ps_username())
Arguments
user

Character of length 1, user ID to filter on. NULL to list processes of all users (not recommended).

Returns

Integer vector of process IDs of the running mirai dispatcher processes.


Method daemons()

List the process IDs of the locally running mirai daemon processes which are not crew workers. The crew_async() object can launch such processes: for example, when a positive integer is supplied to the processes argument of e.g. crew.aws.batch::crew_controller_aws_batch().

Usage
crew_class_monitor_local$daemons(user = ps::ps_username())
Arguments
user

Character of length 1, user ID to filter on. NULL to list processes of all users (not recommended).

Returns

Integer vector of process IDs of the locally running mirai daemon processes which are not crew workers.


Method workers()

List the process IDs of locally running crew workers launched by the local controller (crew_controller_local()).

Usage
crew_class_monitor_local$workers(user = ps::ps_username())
Arguments
user

Character of length 1, user ID to filter on. NULL to list processes of all users (not recommended).

Details

Only the workers running on your local computer are listed. Workers that are not listed include jobs on job schedulers like SLURM or jobs on cloud services like AWS Batch. To monitor those worker processes, please consult the monitor objects in the relevant third-party launcher plugins such as crew.cluster and crew.aws.batch.

Returns

Integer vector of process IDs of locally running crew workers launched by the local controller (crew_controller_local()).


Method terminate()

Terminate the given process IDs.

Usage
crew_class_monitor_local$terminate(pids)
Arguments
pids

Integer vector of process IDs of local processes to terminate.

Details

Termination happens with the operating system signal given by crew_terminate_signal().

Returns

NULL (invisibly).

See Also

Other monitor: crew_monitor_local()


R6 relay class.

Description

R6 class for relay configuration.

Details

See crew_relay().

Active bindings

condition

Main condition variable.

from

Condition variable to relay from.

to

Condition variable to relay to.

Methods

Public methods


Method validate()

Validate the object.

Usage
crew_class_relay$validate()
Returns

NULL (invisibly).


Method start()

Start the relay object.

Usage
crew_class_relay$start()
Returns

NULL (invisibly).


Method terminate()

Terminate the relay object.

Usage
crew_class_relay$terminate()
Returns

NULL (invisibly).


Method set_from()

Set the condition variable to relay from.

Usage
crew_class_relay$set_from(from)
Arguments
from

Condition variable to relay from.

Returns

NULL (invisibly).


Method set_to()

Set the condition variable to relay to.

Usage
crew_class_relay$set_to(to)
Arguments
to

Condition variable to relay to.

Returns

NULL (invisibly).


Method wait()

Wait until an unobserved task resolves or the timeout is reached.

Usage
crew_class_relay$wait(seconds_timeout = 1000)
Arguments
seconds_timeout

Positive numeric of length 1, Number of seconds to wait before timing out.

Returns

NULL (invisibly).

See Also

Other relay: crew_relay()

Examples

crew_relay()

R6 throttle class.

Description

R6 class for throttle configuration.

Details

See crew_throttle().

Active bindings

seconds_interval

Positive numeric of length 1, throttling interval in seconds.

polled

Positive numeric of length 1, millisecond timestamp of the last time poll() returned TRUE. NULL if poll() was never called on the current object.

Methods

Public methods


Method new()

Throttle constructor.

Usage
crew_class_throttle$new(seconds_interval = NULL)
Arguments
seconds_interval

Throttling interval in seconds.

Returns

An R6 object with throttle configuration.

Examples
throttle <- crew_throttle(seconds_interval = 0.5)
throttle$poll()
throttle$poll()

Method validate()

Validate the object.

Usage
crew_class_throttle$validate()
Returns

NULL (invisibly).


Method poll()

Poll the throttler.

Usage
crew_class_throttle$poll()
Returns

TRUE if poll() did not return TRUE in the last seconds_interval seconds, FALSE otherwise.


Method reset()

Reset the throttle object so the next poll() returns TRUE.

Usage
crew_class_throttle$reset()
Returns

NULL (invisibly).

See Also

Other throttle: crew_throttle()

Examples

throttle <- crew_throttle(seconds_interval = 0.5)
throttle$poll()
throttle$poll()

## ------------------------------------------------
## Method `crew_class_throttle$new`
## ------------------------------------------------

throttle <- crew_throttle(seconds_interval = 0.5)
throttle$poll()
throttle$poll()

R6 TLS class.

Description

R6 class for TLS configuration.

Details

See crew_tls().

Active bindings

mode

See crew_tls().

key

See crew_tls().

password

See crew_tls().

certificates

See crew_tls().

Methods

Public methods


Method new()

TLS configuration constructor.

Usage
crew_class_tls$new(
  mode = NULL,
  key = NULL,
  password = NULL,
  certificates = NULL
)
Arguments
mode

Argument passed from crew_tls().

key

Argument passed from crew_tls().

password

Argument passed from crew_tls().

certificates

Argument passed from crew_tls().

Returns

An R6 object with TLS configuration.

Examples
crew_tls(mode = "automatic")

Method validate()

Validate the object.

Usage
crew_class_tls$validate(test = TRUE)
Arguments
test

Logical of length 1, whether to test the TLS configuration with nanonext::tls_config().

Returns

NULL (invisibly).


Method client()

TLS credentials for the crew client.

Usage
crew_class_tls$client()
Returns

NULL or character vector, depending on the mode.


Method worker()

TLS credentials for crew workers.

Usage
crew_class_tls$worker(name)
Arguments
name

Character of length 1 with the mirai compute profile.

Returns

NULL or character vector, depending on the mode.

See Also

Other tls: crew_tls()

Examples

crew_tls(mode = "automatic")

## ------------------------------------------------
## Method `crew_class_tls$new`
## ------------------------------------------------

crew_tls(mode = "automatic")

Terminate dispatchers and/or workers

Description

Terminate mirai dispatchers and/or crew workers which may be lingering from previous workloads.

Usage

crew_clean(
  dispatchers = TRUE,
  workers = TRUE,
  user = ps::ps_username(),
  seconds_interval = 0.5,
  seconds_timeout = 60,
  verbose = TRUE
)

Arguments

dispatchers

Logical of length 1, whether to terminate dispatchers.

workers

Logical of length 1, whether to terminate workers.

user

Character of length 1. Terminate dispatchers and/or workers associated with this user name.

seconds_interval

Seconds to between polling intervals waiting for a process to exit.

seconds_timeout

Seconds to wait for a process to exit.

verbose

Logical of length 1, whether to print an informative message every time a process is terminated.

Details

Behind the scenes, mirai uses an external R process called a "dispatcher" to send tasks to crew workers. This dispatcher usually shuts down when you terminate the controller or quit your R session, but sometimes it lingers. Likewise, sometimes crew workers do not shut down on their own. The crew_clean() function searches the process table on your local machine and manually terminates any mirai dispatchers and crew workers associated with your user name (or the user name you select in the user argument. Unfortunately, it cannot reach remote workers such as those launched by a crew.cluster controller.

Value

NULL (invisibly). If verbose is TRUE, it does print out a message for every terminated process.

See Also

Other utility: crew_assert(), crew_deprecate(), crew_eval(), crew_random_name(), crew_retry(), crew_terminate_process(), crew_terminate_signal(), crew_worker()

Examples

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
crew_clean()
}

Create a client object.

Description

Create an R6 wrapper object to manage the mirai client.

Usage

crew_client(
  name = NULL,
  workers = 1L,
  host = NULL,
  port = NULL,
  tls = crew::crew_tls(),
  tls_enable = NULL,
  tls_config = NULL,
  seconds_interval = 0.5,
  seconds_timeout = 5,
  retry_tasks = TRUE
)

Arguments

name

Name of the client object. If NULL, a name is automatically generated.

workers

Integer, maximum number of parallel workers to run.

host

IP address of the mirai client to send and receive tasks. If NULL, the host defaults to the local IP address.

port

TCP port to listen for the workers. If NULL, then an available ephemeral port is automatically chosen.

tls

A TLS configuration object from crew_tls().

tls_enable

Deprecated on 2023-09-15 in version 0.4.1. Use argument tls instead.

tls_config

Deprecated on 2023-09-15 in version 0.4.1. Use argument tls instead.

seconds_interval

Number of seconds between polling intervals waiting for certain internal synchronous operations to complete, such as checking mirai::status()

seconds_timeout

Number of seconds until timing out while waiting for certain synchronous operations to complete, such as checking mirai::status().

retry_tasks

TRUE to automatically retry a task in the event of an unexpected worker exit. FALSE to give up on the first exit and return a mirai error code (code number 19). TRUE (default) is recommended in most situations. Use FALSE for debugging purposes, e.g. to confirm that a task is causing a worker to run out of memory or crash in some other way.

See Also

Other client: crew_class_client

Examples

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
client$start()
client$summary()
client$terminate()
}

Create a controller object from a client and launcher.

Description

This function is for developers of crew launcher plugins. Users should use a specific controller helper such as crew_controller_local().

Usage

crew_controller(client, launcher, auto_scale = NULL)

Arguments

client

An R6 client object created by crew_client().

launcher

An R6 launcher object created by one of the ⁠crew_launcher_*()⁠ functions such as crew_launcher_local().

auto_scale

Deprecated. Use the scale argument of push(), pop(), and wait() instead.

See Also

Other controller: crew_class_controller

Examples

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
launcher <- crew_launcher_local()
controller <- crew_controller(client = client, launcher = launcher)
controller$start()
controller$push(name = "task", command = sqrt(4))
controller$wait()
controller$pop()
controller$terminate()
}

Create a controller group.

Description

Create an R6 object to submit tasks and launch workers through multiple crew controllers.

Usage

crew_controller_group(...)

Arguments

...

R6 controller objects or lists of R6 controller objects. Nested lists are allowed, but each element must be a control object or another list.

See Also

Other controller_group: crew_class_controller_group

Examples

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
persistent <- crew_controller_local(name = "persistent")
transient <- crew_controller_local(
  name = "transient",
  tasks_max = 1L
)
group <- crew_controller_group(persistent, transient)
group$start()
group$push(name = "task", command = sqrt(4), controller = "transient")
group$wait()
group$pop()
group$terminate()
}

Create a controller with a local process launcher.

Description

Create an R6 object to submit tasks and launch workers on local processes.

Usage

crew_controller_local(
  name = NULL,
  workers = 1L,
  host = "127.0.0.1",
  port = NULL,
  tls = crew::crew_tls(),
  tls_enable = NULL,
  tls_config = NULL,
  seconds_interval = 0.5,
  seconds_timeout = 60,
  seconds_launch = 30,
  seconds_idle = 300,
  seconds_wall = Inf,
  seconds_exit = NULL,
  retry_tasks = TRUE,
  tasks_max = Inf,
  tasks_timers = 0L,
  reset_globals = TRUE,
  reset_packages = FALSE,
  reset_options = FALSE,
  garbage_collection = FALSE,
  crashes_error = 5L,
  launch_max = NULL,
  r_arguments = c("--no-save", "--no-restore"),
  options_metrics = crew::crew_options_metrics(),
  options_local = crew::crew_options_local(),
  local_log_directory = NULL,
  local_log_join = NULL
)

Arguments

name

Name of the client object. If NULL, a name is automatically generated.

workers

Integer, maximum number of parallel workers to run.

host

IP address of the mirai client to send and receive tasks. If NULL, the host defaults to the local IP address.

port

TCP port to listen for the workers. If NULL, then an available ephemeral port is automatically chosen.

tls

A TLS configuration object from crew_tls().

tls_enable

Deprecated on 2023-09-15 in version 0.4.1. Use argument tls instead.

tls_config

Deprecated on 2023-09-15 in version 0.4.1. Use argument tls instead.

seconds_interval

Number of seconds between polling intervals waiting for certain internal synchronous operations to complete, such as checking mirai::status()

seconds_timeout

Number of seconds until timing out while waiting for certain synchronous operations to complete, such as checking mirai::status().

seconds_launch

Seconds of startup time to allow. A worker is unconditionally assumed to be alive from the moment of its launch until seconds_launch seconds later. After seconds_launch seconds, the worker is only considered alive if it is actively connected to its assign websocket.

seconds_idle

Maximum number of seconds that a worker can idle since the completion of the last task. If exceeded, the worker exits. But the timer does not launch until tasks_timers tasks have completed. See the idletime argument of mirai::daemon(). crew does not excel with perfectly transient workers because it does not micromanage the assignment of tasks to workers, so please allow enough idle time for a new worker to be delegated a new task.

seconds_wall

Soft wall time in seconds. The timer does not launch until tasks_timers tasks have completed. See the walltime argument of mirai::daemon().

seconds_exit

Deprecated on 2023-09-21 in version 0.5.0.9002. No longer necessary.

retry_tasks

TRUE to automatically retry a task in the event of an unexpected worker exit. FALSE to give up on the first exit and return a mirai error code (code number 19). TRUE (default) is recommended in most situations. Use FALSE for debugging purposes, e.g. to confirm that a task is causing a worker to run out of memory or crash in some other way.

tasks_max

Maximum number of tasks that a worker will do before exiting. See the maxtasks argument of mirai::daemon(). crew does not excel with perfectly transient workers because it does not micromanage the assignment of tasks to workers, it is recommended to set tasks_max to a value greater than 1.

tasks_timers

Number of tasks to do before activating the timers for seconds_idle and seconds_wall. See the timerstart argument of mirai::daemon().

reset_globals

TRUE to reset global environment variables between tasks, FALSE to leave them alone.

reset_packages

TRUE to unload any packages loaded during a task (runs between each task), FALSE to leave packages alone.

reset_options

TRUE to reset global options to their original state between each task, FALSE otherwise. It is recommended to only set reset_options = TRUE if reset_packages is also TRUE because packages sometimes rely on options they set at loading time.

garbage_collection

TRUE to run garbage collection between tasks, FALSE to skip.

crashes_error

Positive integer scalar. If a worker exits crashes_error times in a row without completing all its assigned tasks, then the launcher throws an informative error. The reason for crashes_error is to avoid an infinite loop where a task crashes a worker (through a segfault, maxing out memory, etc) but the worker always relaunches. To monitor the resources of crew workers, please see https://wlandau.github.io/crew/articles/logging.html.

launch_max

Deprecated on 2024-11-04 (version 0.10.1.9000). Use crashes_error instead.

r_arguments

Optional character vector of command line arguments to pass to Rscript (non-Windows) or Rscript.exe (Windows) when starting a worker. Example: r_arguments = c("--vanilla", "--max-connections=32").

options_metrics

Either NULL to opt out of resource metric logging for workers, or an object from crew_options_metrics() to enable and configure resource metric logging for workers. For resource logging to run, the autometric R package version 0.1.0 or higher must be installed.

options_local

An object generated by crew_options_local() with options specific to the local controller.

local_log_directory

Deprecated on 2024-10-08. Use options_local instead.

local_log_join

Deprecated on 2024-10-08. Use options_local instead.

See Also

Other plugin_local: crew_class_launcher_local, crew_launcher_local()

Examples

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
controller <- crew_controller_local()
controller$start()
controller$push(name = "task", command = sqrt(4))
controller$wait()
controller$pop()
controller$terminate()
}

Deprecate a crew feature.

Description

Show an informative warning when a crew feature is deprecated.

Usage

crew_deprecate(
  name,
  date,
  version,
  alternative,
  condition = "warning",
  value = "x",
  skip_cran = FALSE,
  frequency = "always"
)

Arguments

name

Name of the feature (function or argument) to deprecate.

date

Date of deprecation.

version

Package version when deprecation was instated.

alternative

Message about an alternative.

condition

Either "warning" or "message" to indicate the type of condition thrown on deprecation.

value

Value of the object. Deprecation is skipped if value is NULL.

skip_cran

Logical of length 1, whether to skip the deprecation warning or message on CRAN.

frequency

Character of length 1, passed to the .frequency argument of rlang::warn().

Value

NULL (invisibly). Throws a warning if a feature is deprecated.

See Also

Other utility: crew_assert(), crew_clean(), crew_eval(), crew_random_name(), crew_retry(), crew_terminate_process(), crew_terminate_signal(), crew_worker()

Examples

suppressWarnings(
  crew_deprecate(
    name = "auto_scale",
    date = "2023-05-18",
    version = "0.2.0",
    alternative = "use the scale argument of push(), pop(), and wait()."
  )
)

Evaluate an R command and return results as a monad.

Description

Not a user-side function. Do not call directly.

Usage

crew_eval(
  command,
  name = NA_character_,
  string = NA_character_,
  data = list(),
  globals = list(),
  seed = NULL,
  algorithm = NULL,
  packages = character(0),
  library = NULL
)

Arguments

command

Language object with R code to run.

name

Character of length 1, name of the task.

string

Character of length 1, string representation of the command.

data

Named list of local data objects in the evaluation environment.

globals

Named list of objects to temporarily assign to the global environment for the task.

seed

Integer of length 1 with the pseudo-random number generator seed to set for the evaluation of the task. Passed to the seed argument of set.seed() if not NULL. If algorithm and seed are both NULL, then the random number generator defaults to the recommended widely spaced worker-specific L'Ecuyer streams as supported by mirai::nextstream(). See vignette("parallel", package = "parallel") for details.

algorithm

Integer of length 1 with the pseudo-random number generator algorithm to set for the evaluation of the task. Passed to the kind argument of RNGkind() if not NULL. If algorithm and seed are both NULL, then the random number generator defaults to the recommended widely spaced worker-specific L'Ecuyer streams as supported by mirai::nextstream(). See vignette("parallel", package = "parallel") for details.

packages

Character vector of packages to load for the task.

library

Library path to load the packages. See the lib.loc argument of require().

Details

The crew_eval() function evaluates an R expression in an encapsulated environment and returns a monad with the results, including warnings and error messages if applicable. The random number generator seed, globals, and global options are restored to their original values on exit.

Value

A monad object with results and metadata.

See Also

Other utility: crew_assert(), crew_clean(), crew_deprecate(), crew_random_name(), crew_retry(), crew_terminate_process(), crew_terminate_signal(), crew_worker()

Examples

crew_eval(quote(1 + 1))

Create an abstract launcher.

Description

This function is useful for inheriting argument documentation in functions that create custom third-party launchers. See ⁠@inheritParams crew::crew_launcher⁠ in the source code file of crew_launcher_local().

Usage

crew_launcher(
  name = NULL,
  seconds_interval = 0.5,
  seconds_timeout = 60,
  seconds_launch = 30,
  seconds_idle = 300,
  seconds_wall = Inf,
  seconds_exit = NULL,
  tasks_max = Inf,
  tasks_timers = 0L,
  reset_globals = TRUE,
  reset_packages = FALSE,
  reset_options = FALSE,
  garbage_collection = FALSE,
  crashes_error = 5L,
  launch_max = NULL,
  tls = crew::crew_tls(),
  processes = NULL,
  r_arguments = c("--no-save", "--no-restore"),
  options_metrics = crew::crew_options_metrics()
)

Arguments

name

Name of the launcher.

seconds_interval

Number of seconds between polling intervals waiting for certain internal synchronous operations to complete, such as checking mirai::status().

seconds_timeout

Number of seconds until timing out while waiting for certain synchronous operations to complete, such as checking mirai::status().

seconds_launch

Seconds of startup time to allow. A worker is unconditionally assumed to be alive from the moment of its launch until seconds_launch seconds later. After seconds_launch seconds, the worker is only considered alive if it is actively connected to its assign websocket.

seconds_idle

Maximum number of seconds that a worker can idle since the completion of the last task. If exceeded, the worker exits. But the timer does not launch until tasks_timers tasks have completed. See the idletime argument of mirai::daemon(). crew does not excel with perfectly transient workers because it does not micromanage the assignment of tasks to workers, so please allow enough idle time for a new worker to be delegated a new task.

seconds_wall

Soft wall time in seconds. The timer does not launch until tasks_timers tasks have completed. See the walltime argument of mirai::daemon().

seconds_exit

Deprecated on 2023-09-21 in version 0.5.0.9002. No longer necessary.

tasks_max

Maximum number of tasks that a worker will do before exiting. See the maxtasks argument of mirai::daemon(). crew does not excel with perfectly transient workers because it does not micromanage the assignment of tasks to workers, it is recommended to set tasks_max to a value greater than 1.

tasks_timers

Number of tasks to do before activating the timers for seconds_idle and seconds_wall. See the timerstart argument of mirai::daemon().

reset_globals

TRUE to reset global environment variables between tasks, FALSE to leave them alone.

reset_packages

TRUE to unload any packages loaded during a task (runs between each task), FALSE to leave packages alone.

reset_options

TRUE to reset global options to their original state between each task, FALSE otherwise. It is recommended to only set reset_options = TRUE if reset_packages is also TRUE because packages sometimes rely on options they set at loading time.

garbage_collection

TRUE to run garbage collection between tasks, FALSE to skip.

crashes_error

Positive integer scalar. If a worker exits crashes_error times in a row without completing all its assigned tasks, then the launcher throws an informative error. The reason for crashes_error is to avoid an infinite loop where a task crashes a worker (through a segfault, maxing out memory, etc) but the worker always relaunches. To monitor the resources of crew workers, please see https://wlandau.github.io/crew/articles/logging.html.

launch_max

Deprecated on 2024-11-04 (version 0.10.1.9000). Use crashes_error instead.

tls

A TLS configuration object from crew_tls().

processes

NULL or positive integer of length 1, number of local processes to launch to allow worker launches to happen asynchronously. If NULL, then no local processes are launched. If 1 or greater, then the launcher starts the processes on start() and ends them on terminate(). Plugins that may use these processes should run asynchronous calls using launcher$async$eval() and expect a mirai task object as the return value.

r_arguments

Optional character vector of command line arguments to pass to Rscript (non-Windows) or Rscript.exe (Windows) when starting a worker. Example: r_arguments = c("--vanilla", "--max-connections=32").

options_metrics

Either NULL to opt out of resource metric logging for workers, or an object from crew_options_metrics() to enable and configure resource metric logging for workers. For resource logging to run, the autometric R package version 0.1.0 or higher must be installed.

See Also

Other launcher: crew_class_launcher

Examples

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
client$start()
launcher <- crew_launcher_local(name = client$name)
launcher$start(sockets = client$summary()$socket)
launcher$launch(index = 1L)
task <- mirai::mirai("result", .compute = client$name)
mirai::call_mirai_(task)
task$data
client$terminate()
}

Create a launcher with local process workers.

Description

Create an R6 object to launch and maintain local process workers.

Usage

crew_launcher_local(
  name = NULL,
  seconds_interval = 0.5,
  seconds_timeout = 60,
  seconds_launch = 30,
  seconds_idle = Inf,
  seconds_wall = Inf,
  seconds_exit = NULL,
  tasks_max = Inf,
  tasks_timers = 0L,
  reset_globals = TRUE,
  reset_packages = FALSE,
  reset_options = FALSE,
  garbage_collection = FALSE,
  crashes_error = 5L,
  launch_max = NULL,
  tls = crew::crew_tls(),
  r_arguments = c("--no-save", "--no-restore"),
  options_metrics = crew::crew_options_metrics(),
  options_local = crew::crew_options_local(),
  local_log_directory = NULL,
  local_log_join = NULL
)

Arguments

name

Name of the launcher.

seconds_interval

Number of seconds between polling intervals waiting for certain internal synchronous operations to complete, such as checking mirai::status().

seconds_timeout

Number of seconds until timing out while waiting for certain synchronous operations to complete, such as checking mirai::status().

seconds_launch

Seconds of startup time to allow. A worker is unconditionally assumed to be alive from the moment of its launch until seconds_launch seconds later. After seconds_launch seconds, the worker is only considered alive if it is actively connected to its assign websocket.

seconds_idle

Maximum number of seconds that a worker can idle since the completion of the last task. If exceeded, the worker exits. But the timer does not launch until tasks_timers tasks have completed. See the idletime argument of mirai::daemon(). crew does not excel with perfectly transient workers because it does not micromanage the assignment of tasks to workers, so please allow enough idle time for a new worker to be delegated a new task.

seconds_wall

Soft wall time in seconds. The timer does not launch until tasks_timers tasks have completed. See the walltime argument of mirai::daemon().

seconds_exit

Deprecated on 2023-09-21 in version 0.5.0.9002. No longer necessary.

tasks_max

Maximum number of tasks that a worker will do before exiting. See the maxtasks argument of mirai::daemon(). crew does not excel with perfectly transient workers because it does not micromanage the assignment of tasks to workers, it is recommended to set tasks_max to a value greater than 1.

tasks_timers

Number of tasks to do before activating the timers for seconds_idle and seconds_wall. See the timerstart argument of mirai::daemon().

reset_globals

TRUE to reset global environment variables between tasks, FALSE to leave them alone.

reset_packages

TRUE to unload any packages loaded during a task (runs between each task), FALSE to leave packages alone.

reset_options

TRUE to reset global options to their original state between each task, FALSE otherwise. It is recommended to only set reset_options = TRUE if reset_packages is also TRUE because packages sometimes rely on options they set at loading time.

garbage_collection

TRUE to run garbage collection between tasks, FALSE to skip.

crashes_error

Positive integer scalar. If a worker exits crashes_error times in a row without completing all its assigned tasks, then the launcher throws an informative error. The reason for crashes_error is to avoid an infinite loop where a task crashes a worker (through a segfault, maxing out memory, etc) but the worker always relaunches. To monitor the resources of crew workers, please see https://wlandau.github.io/crew/articles/logging.html.

launch_max

Deprecated on 2024-11-04 (version 0.10.1.9000). Use crashes_error instead.

tls

A TLS configuration object from crew_tls().

r_arguments

Optional character vector of command line arguments to pass to Rscript (non-Windows) or Rscript.exe (Windows) when starting a worker. Example: r_arguments = c("--vanilla", "--max-connections=32").

options_metrics

Either NULL to opt out of resource metric logging for workers, or an object from crew_options_metrics() to enable and configure resource metric logging for workers. For resource logging to run, the autometric R package version 0.1.0 or higher must be installed.

options_local

An object generated by crew_options_local() with options specific to the local controller.

local_log_directory

Deprecated on 2024-10-08. Use options_local instead.

local_log_join

Deprecated on 2024-10-08. Use options_local instead.

See Also

Other plugin_local: crew_class_launcher_local, crew_controller_local()

Examples

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
client <- crew_client()
client$start()
launcher <- crew_launcher_local(name = client$name)
launcher$start(sockets = client$summary()$socket)
launcher$launch(index = 1L)
task <- mirai::mirai("result", .compute = client$name)
mirai::call_mirai_(task)
task$data
client$terminate()
}

Create a local monitor object.

Description

Create an R6 object to monitor local processes created by crew and mirai.

Usage

crew_monitor_local()

See Also

Other monitor: crew_class_monitor_local


Local crew launcher options.

Description

Options for the local crew launcher.

Usage

crew_options_local(log_directory = NULL, log_join = TRUE)

Arguments

log_directory

Either NULL or a character of length 1 with the file path to a directory to write worker-specific log files with standard output and standard error messages. Each log file represents a single instance of a running worker, so there will be more log files if a given worker starts and terminates a lot. Set to NULL to suppress log files (default).

log_join

Logical of length 1. If TRUE, crew will write standard output and standard error to the same log file for each worker instance. If FALSE, then they these two streams will go to different log files with informative suffixes.

Value

A classed list of options for the local launcher.

See Also

Other options: crew_options_metrics()

Examples

crew_options_local()

Options for logging resource usage metrics.

Description

crew_options_metrics() configures the crew to record resource usage metrics (such as CPU and memory usage) for each running worker. To be activate resource usage logging, the autometric R package version 0.1.0 or higher must be installed.

Logging happens in the background (through a detached POSIX) so as not to disrupt the R session. On Unix-like systems, crew_options_metrics() can specify ⁠/dev/stdout⁠ or ⁠/dev/stderr⁠ as the log files, which will redirect output to existing logs you are already using. autometric::log_read() and autometric::log_plot() can read and visualize resource usage data from multiple log files, even if those files are mixed with other messages.

Usage

crew_options_metrics(path = NULL, seconds_interval = 5)

Arguments

path

Where to write resource metric log entries for workers. path = NULL disables logging. path equal to "/dev/stdout" (or "/dev/stderr") sends log messages to the standard output (or standard error) streams, which is recommended on Unix-like systems because then output will go to the existing log files already configured for the controller, e.g. through crew_options_local() in the case of crew_controller_local(). If path is not NULL, "/dev/stdout", or "/dev/stderr", it should be a directory path, in which case each worker instance will write to a new file in that directory.

After running enough tasks in crew, you can call autometric::log_read(path) to read all the data from all the log files in the files or directories at path, even if the logs files are mixed with other kinds of messages. Pass that data into autometric::log_read() to visualize it.

seconds_interval

Positive number, seconds between resource metric log entries written to path.

Value

A classed list of options for logging resource usage metrics.

See Also

Other options: crew_options_local()

Examples

crew_options_metrics()

Random name

Description

Generate a random string that can be used as a name for a worker or task.

Usage

crew_random_name(n = 12L)

Arguments

n

Number of bytes of information in the random string hashed to generate the name. Larger n is more likely to generate unique names, but it may be slower to compute.

Details

The randomness is not reproducible and cannot be set with e.g. set.seed() in R.

Value

A random character string.

See Also

Other utility: crew_assert(), crew_clean(), crew_deprecate(), crew_eval(), crew_retry(), crew_terminate_process(), crew_terminate_signal(), crew_worker()

Examples

crew_random_name()

Create a crew relay object.

Description

Create an R6 crew relay object.

Usage

crew_relay()

Details

A crew relay object keeps the signaling relationships among condition variables.

Value

An R6 crew relay object.

See Also

Other relay: crew_class_relay

Examples

crew_relay()

Retry code.

Description

Repeatedly retry a function while it keeps returning FALSE and exit the loop when it returns TRUE

Usage

crew_retry(
  fun,
  args = list(),
  seconds_interval = 1,
  seconds_timeout = 60,
  max_tries = Inf,
  error = TRUE,
  message = character(0),
  envir = parent.frame()
)

Arguments

fun

Function that returns FALSE to keep waiting or TRUE to stop waiting.

args

A named list of arguments to fun.

seconds_interval

Nonnegative numeric of length 1, number of seconds to wait between calls to fun.

seconds_timeout

Nonnegative numeric of length 1, number of seconds to loop before timing out.

max_tries

Maximum number of calls to fun to try before giving up.

error

Whether to throw an error on a timeout or max tries.

message

Character of length 1, optional error message if the wait times out.

envir

Environment to evaluate fun.

Value

NULL (invisibly).

See Also

Other utility: crew_assert(), crew_clean(), crew_deprecate(), crew_eval(), crew_random_name(), crew_terminate_process(), crew_terminate_signal(), crew_worker()

Examples

crew_retry(fun = function() TRUE)

Manually terminate a local process.

Description

Manually terminate a local process.

Usage

crew_terminate_process(pid)

Arguments

pid

Integer of length 1, process ID to terminate.

Value

NULL (invisibly).

See Also

Other utility: crew_assert(), crew_clean(), crew_deprecate(), crew_eval(), crew_random_name(), crew_retry(), crew_terminate_signal(), crew_worker()

Examples

if (identical(Sys.getenv("CREW_EXAMPLES"), "true")) {
process <- processx::process$new("sleep", "60")
process$is_alive()
crew_terminate_process(pid = process$get_pid())
process$is_alive()
}

Get the termination signal.

Description

Get a supported operating system signal for terminating a local process.

Usage

crew_terminate_signal()

Value

An integer of length 1: tools::SIGTERM if your platform supports SIGTERM. If not, then crew_crew_terminate_signal()() checks SIGQUIT, then SIGINT, then SIGKILL, and then returns the first signal it finds that your operating system can use.

See Also

Other utility: crew_assert(), crew_clean(), crew_deprecate(), crew_eval(), crew_random_name(), crew_retry(), crew_terminate_process(), crew_worker()

Examples

crew_terminate_signal()

Create a stateful throttling object.

Description

Create an R6 object for throttling.

Usage

crew_throttle(seconds_interval = 0.5)

Arguments

seconds_interval

Positive numeric of length 1, throttling interval. The poll() method returns TRUE if and only if it was not called in the last seconds_interval seconds.

Details

Throttling is a technique that limits how often a function is called in a given period of time. crew_throttle() objects support the throttle argument of controller methods, which ensures auto-scaling only happen every seconds_interval seconds. This helps avoid overburdening the mirai dispatcher and other resources.

Value

An R6 object with throttle configuration settings and methods.

See Also

Other throttle: crew_class_throttle

Examples

throttle <- crew_throttle(seconds_interval = 0.5)
throttle$poll()
throttle$poll()

Configure TLS.

Description

Create an R6 object with transport layer security (TLS) configuration for crew.

Usage

crew_tls(
  mode = "none",
  key = NULL,
  password = NULL,
  certificates = NULL,
  validate = TRUE
)

Arguments

mode

Character of length 1. Must be one of the following:

  • "none": disable TLS configuration.

  • "automatic": let mirai create a one-time key pair with a self-signed certificate.

  • "custom": manually supply a private key pair, an optional password for the private key, a certificate, an optional revocation list.

key

If mode is "none" or "automatic", then key is NULL. If mode is "custom", then key is a character of length 1 with the file path to the private key file.

password

If mode is "none" or "automatic", then password is NULL. If mode is "custom" and the private key is not encrypted, then password is still NULL. If mode is "custom" and the private key is encrypted, then password is a character of length 1 the the password of the private key. In this case, DO NOT SAVE THE PASSWORD IN YOUR R CODE FILES. See the keyring R package for solutions.

certificates

If mode is "none" or "automatic", then certificates is NULL. If mode is "custom", then certificates is a character vector of file paths to certificate files (signed public keys). If the certificate is self-signed or if it is directly signed by a certificate authority (CA), then only the certificate of the CA is needed. But if you have a whole certificate chain which begins at your own certificate and ends with the CA, then you can supply the whole certificate chain as a character vector which begins at your own certificate and ends with the certificate of the CA.

validate

Logical of length 1, whether to validate the configuration object on creation. If FALSE, then validate() can be called later on.

Details

crew_tls() objects are input to the tls argument of crew_client(), crew_controller_local(), etc. See https://wlandau.github.io/crew/articles/risks.html for details.

Value

An R6 object with TLS configuration settings and methods.

See Also

Other tls: crew_class_tls

Examples

crew_tls(mode = "automatic")

Crew worker.

Description

Launches a crew worker which runs a mirai daemon. Not a user-side function. Users should not call crew_worker() directly. See launcher plugins like crew_launcher_local() for examples.

Usage

crew_worker(
  settings,
  launcher,
  worker,
  instance,
  options_metrics = crew::crew_options_metrics()
)

Arguments

settings

Named list of arguments to mirai::daemon().

launcher

Character of length 1, name of the launcher.

worker

Positive integer of length 1, index of the worker. This worker index remains the same even when the current instance of the worker exits and a new instance launches.

instance

Character of length 1 to uniquely identify the current instance of the worker.

options_metrics

Either NULL to opt out of resource metric logging for workers, or an object from crew_options_metrics() to enable and configure resource metric logging for workers. For resource logging to run, the autometric R package version 0.1.0 or higher must be installed.

Value

NULL (invisibly)

See Also

Other utility: crew_assert(), crew_clean(), crew_deprecate(), crew_eval(), crew_random_name(), crew_retry(), crew_terminate_process(), crew_terminate_signal()