'Elasticsearch' is an open-source, distributed, document-based datastore
(<https://www.elastic.co/products/elasticsearch>).
It provides an 'HTTP' 'API' for querying the database and extracting datasets, but that
'API' was not designed for common data science workflows like pulling large batches of
records and normalizing those documents into a data frame that can be used as a training
dataset for statistical models. 'uptasticsearch' provides an interface for 'Elasticsearch'
that is explicitly designed to make these data science workflows easy and fun.
| Version: |
0.4.0 |
| Depends: |
R (≥ 3.3.0) |
| Imports: |
assertthat (≥ 0.2.0), data.table, futile.logger, httr, jsonlite, purrr, stringr, utils, uuid |
| Suggests: |
knitr, rmarkdown, testthat |
| Published: |
2019-09-11 |
| Author: |
James Lamb [aut, cre],
Nick Paras [aut],
Austin Dickey [aut],
Michael Frasco [ctb],
Weiwen Gu [ctb],
Will Dearden [ctb],
Uptake Technologies Inc. [cph] |
| Maintainer: |
James Lamb <jaylamb20 at gmail.com> |
| BugReports: |
https://github.com/uptake/uptasticsearch/issues |
| License: |
BSD_3_clause + file LICENSE |
| URL: |
https://github.com/uptake/uptasticsearch |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| In views: |
Databases |
| CRAN checks: |
uptasticsearch results |