These functions are used to find and filter jobs, depending on either their parameters (findJobs and findExperiments), their tags (findTagged), or their computational status (all other functions, see getStatus for an overview).

Note that findQueued, findRunning, findOnSystem and findExpired are somewhat heuristic and may report misleading results, depending on the state of the system and the ClusterFunctions implementation.

See JoinTables for convenient set operations (unions, intersects, differences) on tables with job ids.

findJobs(expr, ids = NULL, reg = getDefaultRegistry())

findExperiments(ids = NULL, prob.name = NA_character_,
  prob.pattern = NA_character_, algo.name = NA_character_,
  algo.pattern = NA_character_, prob.pars, algo.pars, repls = NULL,
  reg = getDefaultRegistry())

findSubmitted(ids = NULL, reg = getDefaultRegistry())

findNotSubmitted(ids = NULL, reg = getDefaultRegistry())

findStarted(ids = NULL, reg = getDefaultRegistry())

findNotStarted(ids = NULL, reg = getDefaultRegistry())

findDone(ids = NULL, reg = getDefaultRegistry())

findNotDone(ids = NULL, reg = getDefaultRegistry())

findErrors(ids = NULL, reg = getDefaultRegistry())

findOnSystem(ids = NULL, reg = getDefaultRegistry())

findRunning(ids = NULL, reg = getDefaultRegistry())

findQueued(ids = NULL, reg = getDefaultRegistry())

findExpired(ids = NULL, reg = getDefaultRegistry())

findTagged(tags = character(0L), ids = NULL, reg = getDefaultRegistry())

Arguments

expr

[expression]
Predicate expression evaluated in the job parameters. Jobs for which expr evaluates to TRUE are returned.

ids

[data.frame or integer]
A data.frame (or data.table) with a column named “job.id”. Alternatively, you may also pass a vector of integerish job ids. If not set, defaults to all jobs. Invalid ids are ignored.

reg

[Registry]
Registry. If not explicitly passed, uses the default registry (see setDefaultRegistry).

prob.name

[character]
Exact name of the problem (no substring matching). If not provided, all problems are matched.

prob.pattern

[character]
Regular expression pattern to match problem names. If not provided, all problems are matched.

algo.name

[character]
Exact name of the problem (no substring matching). If not provided, all algorithms are matched.

algo.pattern

[character]
Regular expression pattern to match algorithm names. If not provided, all algorithms are matched.

prob.pars

[expression]
Predicate expression evaluated in the problem parameters.

algo.pars

[expression]
Predicate expression evaluated in the algorithm parameters.

repls

[integer]
Whitelist of replication numbers. If not provided, all replications are matched.

tags

[character]
Return jobs which are tagged with any of the tags provided.

Value

[data.table] with column “job.id” containing matched jobs.

See also

Examples

tmp = makeRegistry(file.dir = NA, make.default = FALSE)
#> Sourcing configuration file '~/.batchtools.conf.R' ...
#> Created registry in '/tmp/batchtools-example/reg' using cluster functions 'Interactive'
batchMap(identity, i = 1:3, reg = tmp)
#> Adding 3 jobs ...
ids = findNotSubmitted(reg = tmp) # get all jobs: findJobs(reg = tmp)
#> Key: <job.id> #> job.id #> <int> #> 1: 1 #> 2: 2 #> 3: 3
# filter for jobs with parameter i >= 2 findJobs(i >= 2, reg = tmp) # filter on the computational status findSubmitted(reg = tmp)
#> Key: <job.id> #> Empty data.table (0 rows) of 1 col: job.id
findNotDone(reg = tmp)
#> Key: <job.id> #> job.id #> <int> #> 1: 1 #> 2: 2 #> 3: 3
# filter on tags addJobTags(2:3, "my_tag", reg = tmp) findTagged(tags = "my_tag", reg = tmp)
#> Key: <job.id> #> job.id #> <int> #> 1: 2 #> 2: 3
# combine filter functions using joins # -> jobs which are not done and not tagged (using an anti-join): ajoin(findNotDone(reg = tmp), findTagged("my_tag", reg = tmp))
#> Key: <job.id> #> job.id #> <int> #> 1: 1