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duckdbfs: High Performance Remote File System, Database and 'Geospatial' Access Using 'duckdb'

Provides friendly wrappers for creating 'duckdb'-backed connections to tabular datasets ('csv', parquet, etc) on local or remote file systems. This mimics the behaviour of "open_dataset" in the 'arrow' package, but in addition to 'S3' file system also generalizes to any list of 'http' URLs.

Version: 0.0.4
Imports: DBI, dbplyr, dplyr, duckdb (≥ 0.9.2), fs, glue
Suggests: curl, sf, jsonlite, spelling, minioclient, testthat (≥ 3.0.0)
Published: 2024-02-28
Author: Carl Boettiger ORCID iD [aut, cre]
Maintainer: Carl Boettiger <cboettig at gmail.com>
BugReports: https://github.com/cboettig/duckdbfs/issues
License: MIT + file LICENSE
URL: https://github.com/cboettig/duckdbfs, https://cboettig.github.io/duckdbfs/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: duckdbfs results

Documentation:

Reference manual: duckdbfs.pdf

Downloads:

Package source: duckdbfs_0.0.4.tar.gz
Windows binaries: r-devel: duckdbfs_0.0.4.zip, r-release: duckdbfs_0.0.4.zip, r-oldrel: duckdbfs_0.0.4.zip
macOS binaries: r-release (arm64): duckdbfs_0.0.4.tgz, r-oldrel (arm64): duckdbfs_0.0.4.tgz, r-release (x86_64): duckdbfs_0.0.4.tgz, r-oldrel (x86_64): duckdbfs_0.0.4.tgz
Old sources: duckdbfs archive

Reverse dependencies:

Reverse imports: gbifdb, neonstore

Linking:

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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.
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