SQLite
Embeds the SQLite database engine in R, providing a DBI-compliant interface. SQLite is a public-domain, single-user, very light-weight database engine that implements a decent subset of the SQL 92 standard, including the core table creation, updating, insertion, and selection operations, plus transaction management.
You can install the latest released version of RSQLite from CRAN with:
install.packages("RSQLite")Or install the latest development version from GitHub with:
# install.packages("devtools")
devtools::install_github("rstats-db/RSQLite")To install from GitHub, you’ll need a development environment.
Basic usage
library(DBI)
# Create an ephemeral in-memory RSQLite database
con <- dbConnect(RSQLite::SQLite(), ":memory:")
dbListTables(con)## character(0)dbWriteTable(con, "mtcars", mtcars)
dbListTables(con)## [1] "mtcars"dbListFields(con, "mtcars")## [1] "mpg" "cyl" "disp" "hp" "drat" "wt" "qsec" "vs" "am" "gear"
## [11] "carb"dbReadTable(con, "mtcars")## mpg cyl disp hp drat wt qsec vs am gear carb
## 1 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
## 2 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
## 3 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
## 4 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
## 5 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
## 6 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
## 7 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
## 8 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
## 9 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
## 10 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
## 11 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
## 12 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
## 13 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
## 14 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
## 15 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
## 16 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
## 17 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
## 18 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
## 19 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
## 20 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
## 21 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
## 22 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
## 23 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
## 24 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
## 25 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
## 26 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
## 27 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
## 28 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
## 29 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
## 30 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
## 31 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
## 32 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2# You can fetch all results:
res <- dbSendQuery(con, "SELECT * FROM mtcars WHERE cyl = 4")
dbFetch(res)## mpg cyl disp hp drat wt qsec vs am gear carb
## 1 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
## 2 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
## 3 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
## 4 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
## 5 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
## 6 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
## 7 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
## 8 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
## 9 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
## 10 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
## 11 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2dbClearResult(res)
# Or a chunk at a time
res <- dbSendQuery(con, "SELECT * FROM mtcars WHERE cyl = 4")
while(!dbHasCompleted(res)){
chunk <- dbFetch(res, n = 5)
print(nrow(chunk))
}## [1] 5
## [1] 5
## [1] 1# Clear the result
dbClearResult(res)
# Disconnect from the database
dbDisconnect(con)