Support for Parallel Computation, Logging, and Function Automation

Support for parallel computation with progress bar, and option to stop or proceed on errors. Also provides logging to console and disk, and the logging persists in the parallel threads. Additional functions support function call automation with delayed execution (e.g. for executing functions in parallel).

ParallelLogger

ParallelLogger is part of the OHDSI Methods Library.

Introduction

An R package with tools to be used in the other OHDSI R packages

Features

• Functions for parallel computation
• Functions for logging
• Functions used for automating analyses

Examples

fun <- function(x) {
  return (x^2)
}
 
cluster <- makeCluster(numberOfThreads = 3)
result <- clusterApply(cluster, 1:10, fun)
stopCluster(cluster)
 
# Create a file logger:
addDefaultFileLogger("log.txt")
logTrace("Hello world")

Technology

ParallelLogger is an R package.

System Requirements

Requires R (version 3.1.0 or higher)

Getting Started

In R, to install the latest stable version, install from CRAN:

install.packages("ParallelLogger")

To install the latest development version, install from GitHub:

install.packages("devtools")
devtools::install_github("ohdsi/ParallelLogger")

User Documentation

• Vignette: Logging using ParallelLogger
• Vignette: Parallel execution using ParallelLogger
• Package manual: ParallelLogger.pdf

Support

• Developer questions/comments/feedback: OHDSI Forum
• We use the GitHub issue tracker for all bugs/issues/enhancements

License

ParallelLogger is licensed under Apache License 2.0

Development

ParallelLogger is being developed in R Studio.

Development status

Ready for use

Acknowledgements

• This project is supported in part through the National Science Foundation grant IIS 1251151.