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Bringing arrow-adbc to R via DBI, adbi aims to provide DBI-compliant database access.

Installation

You can install the development version of adbi from GitHub with:

# install.packages("devtools")
devtools::install_github("r-dbi/adbi")

Example

The data.frame API of DBI is supported.

library(DBI)

# Create an SQLite connection using the adbcsqlite backend
con <- dbConnect(adbi::adbi("adbcsqlite"), uri = ":memory:")

# Write a table
dbWriteTable(con, "swiss", datasets::swiss)

# Query it
dbGetQuery(con, "SELECT * from swiss WHERE Agriculture < 40")
#>    Fertility Agriculture Examination Education Catholic Infant.Mortality
#> 1       80.2        17.0          15        12     9.96             22.2
#> 2       92.5        39.7           5         5    93.40             20.2
#> 3       85.8        36.5          12         7    33.77             20.3
#> 4       76.1        35.3           9         7    90.57             26.6
#> 5       71.7        34.0          17         8     3.30             20.0
#> 6       55.7        19.4          26        28    12.11             20.2
#> 7       54.3        15.2          31        20     2.15             10.8
#> 8       58.3        26.8          25        19    18.46             20.9
#> 9       70.4        38.4          26        12     5.62             20.3
#> 10      65.7         7.7          29        11    13.79             20.5
#> 11      72.7        16.7          22        13    11.22             18.9
#> 12      64.4        17.6          35        32    16.92             23.0
#> 13      77.6        37.6          15         7     4.97             20.0
#> 14      67.6        18.7          25         7     8.65             19.5
#> 15      35.0         1.2          37        53    42.34             18.0
#> 16      42.8        27.7          22        29    58.33             19.3

# Prepared statements
res <- dbSendQuery(con, "SELECT * from swiss WHERE Agriculture < ?")

dbBind(res, 30)
dbFetch(res)
#>    Fertility Agriculture Examination Education Catholic Infant.Mortality
#> 1       80.2        17.0          15        12     9.96             22.2
#> 2       55.7        19.4          26        28    12.11             20.2
#> 3       54.3        15.2          31        20     2.15             10.8
#> 4       58.3        26.8          25        19    18.46             20.9
#> 5       65.7         7.7          29        11    13.79             20.5
#> 6       72.7        16.7          22        13    11.22             18.9
#> 7       64.4        17.6          35        32    16.92             23.0
#> 8       67.6        18.7          25         7     8.65             19.5
#> 9       35.0         1.2          37        53    42.34             18.0
#> 10      42.8        27.7          22        29    58.33             19.3

dbBind(res, 20)
dbFetch(res)
#>   Fertility Agriculture Examination Education Catholic Infant.Mortality
#> 1      80.2        17.0          15        12     9.96             22.2
#> 2      55.7        19.4          26        28    12.11             20.2
#> 3      54.3        15.2          31        20     2.15             10.8
#> 4      65.7         7.7          29        11    13.79             20.5
#> 5      72.7        16.7          22        13    11.22             18.9
#> 6      64.4        17.6          35        32    16.92             23.0
#> 7      67.6        18.7          25         7     8.65             19.5
#> 8      35.0         1.2          37        53    42.34             18.0

# Cleanup
dbClearResult(res)

More interestingly, the recent arrow-extension API of DBI is supported as well.

# Queries
dbGetQueryArrow(con, "SELECT * from swiss WHERE Agriculture < 40")
#> <nanoarrow_array_stream struct<Fertility: double, Agriculture: double, Examination: int64, Education: int64, Catholic: double, Infant.Mortality: double>>
#>  $ get_schema:function ()  
#>  $ get_next  :function (schema = x$get_schema(), validate = TRUE)  
#>  $ release   :function ()

# Prepared statements
res <- dbSendQueryArrow(con, "SELECT * from swiss WHERE Agriculture < ?")

dbBind(res, 30)

ret <- dbFetchArrow(res)
ret$length
#> NULL

dbBind(res, 20)

# Chunked fetches
while (!dbHasCompleted(res)) {
  ret <- dbFetchArrowChunk(res)
  message("fetched ", ret$length, " rows")
}
#> fetched 8 rows
#> fetched 0 rows

# Cleanup
dbClearResult(res)
dbDisconnect(con)