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A 'sparklyr' extension package providing an integration with Google 'BigQuery'. It supports direct import/export where records are directly streamed from/to 'BigQuery'. In addition, data may be imported/exported via intermediate data extracts on Google 'Cloud Storage'.
Version: | 0.1.1 |
Depends: | R (≥ 3.3.2) |
Imports: | sparklyr (≥ 0.7.0) |
Suggests: | dplyr |
Published: | 2019-12-18 |
DOI: | 10.32614/CRAN.package.sparkbq |
Author: | Mirai Solutions GmbH [aut], Martin Studer [cre], Nicola Lambiase [ctb], Omer Demirel [ctb] |
Maintainer: | Martin Studer <martin.studer at mirai-solutions.com> |
BugReports: | https://github.com/miraisolutions/sparkbq/issues |
License: | GPL-3 | file LICENSE |
URL: | http://www.mirai-solutions.com, https://github.com/miraisolutions/sparkbq |
NeedsCompilation: | no |
SystemRequirements: | Spark (>= 2.2.x) |
Materials: | README NEWS |
CRAN checks: | sparkbq results |
Reference manual: | sparkbq.pdf |
Package source: | sparkbq_0.1.1.tar.gz |
Windows binaries: | r-devel: sparkbq_0.1.1.zip, r-release: sparkbq_0.1.1.zip, r-oldrel: sparkbq_0.1.1.zip |
macOS binaries: | r-release (arm64): sparkbq_0.1.1.tgz, r-oldrel (arm64): sparkbq_0.1.1.tgz, r-release (x86_64): sparkbq_0.1.1.tgz, r-oldrel (x86_64): sparkbq_0.1.1.tgz |
Old sources: | sparkbq archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.