Multi-threaded serialization of compressed array that fully utilizes modern solid state drives. It allows to store and load extremely large data on demand within seconds without occupying too much memories. With data stored on hard drive, a lazy-array data can be loaded, shared across multiple R sessions. For arrays with partition mode on, multiple R sessions can write to a same array simultaneously along the last dimension (partition).
Version: | 1.0.0 |
Imports: | Rcpp (≥ 1.0.4), R6, fstcore, yaml |
LinkingTo: | Rcpp, fstcore |
Suggests: | testthat, knitr, fst, rmarkdown |
Published: | 2020-06-24 |
Author: | Zhengjia Wang [aut, cre, cph], Mark Klik [ctb, cph] (Copyright holder of fstcore package) |
Maintainer: | Zhengjia Wang <dipterix.wang at gmail.com> |
BugReports: | https://github.com/dipterix/lazyarray/issues |
License: | AGPL-3 |
URL: | https://github.com/dipterix/lazyarray |
NeedsCompilation: | yes |
SystemRequirements: | C++11 |
Language: | en-US |
Materials: | NEWS |
CRAN checks: | lazyarray results |
Reference manual: | lazyarray.pdf |
Vignettes: |
Basic Usage of LazyArray |
Package source: | lazyarray_1.0.0.tar.gz |
Windows binaries: | r-devel: lazyarray_1.0.0.zip, r-release: lazyarray_1.0.0.zip, r-oldrel: lazyarray_1.0.0.zip |
macOS binaries: | r-release: lazyarray_1.0.0.tgz, r-oldrel: lazyarray_1.0.0.tgz |
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